Effectiveness of Digital Medicines to Improve Clinical Outcomes in Patients with Uncontrolled Hypertension and Type 2 Diabetes: Prospective, Open-Label, Cluster-Randomized Pilot Clinical Trial
Open accessAbstract
BACKGROUND: Hypertension and type 2 diabetes mellitus are major modifiable risk factors for cardiac, cerebrovascular, and kidney diseases. Reasons for poor disease control include nonadherence, lack of patient engagement, and therapeutic inertia. OBJECTIVE: The aim of this study was to assess the impact on clinic-measured blood pressure (BP) and glycated hemoglobin (HbA1c) using a digital medicine offering (DMO) that measures medication ingestion adherence, physical activity, and rest using digital medicines (medication taken with ingestible sensor), wearable sensor patches, and a mobile device app. METHODS: Participants with elevated systolic BP (SBP ≥140 mm Hg) and HbA1c (≥7%) failing antihypertensive (≥2 medications) and oral diabetes therapy were enrolled in this three-arm, 12-week, cluster-randomized study. Participants used DMO (includes digital medicines, the wearable sensor patch, and the mobile device app) for 4 or 12 weeks or received usual care based on site randomization. Providers in the DMO arms could review the DMO data via a Web portal. In all three arms, providers were instructed to make medical decisions (medication titration, adherence counseling, education, and lifestyle coaching) on all available clinical information at each visit. Primary outcome was change in SBP at week 4. Other outcomes included change in SBP and HbA1c at week 12, and low-density lipoprotein cholesterol (LDL-C) and diastolic blood pressure (DBP) at weeks 4 and 12, as well as proportion of patients at BP goal (<140/90 mm Hg) at weeks 4 and 12, medical decisions, and medication adherence patterns. RESULTS: Final analysis included 109 participants (12 sites; age: mean 58.7, SD years; female: 49.5%, 54/109; Hispanic: 45.9%, 50/109; income ≤ US $20,000: 56.9%, 62/109; and ≤ high school education: 52.3%, 57/109). The DMO groups had 80 participants (7 sites) and usual care had 29 participants (5 sites). At week 4, DMO resulted in a statistically greater SBP reduction than usual care (mean -21.8, SE 1.5 mm Hg vs mean -12.7, SE 2.8 mmHg; mean difference -9.1, 95% CI -14.0 to -3.3 mm Hg) and maintained a greater reduction at week 12. The DMO groups had greater reductions in HbA1c, DBP, and LDL-C, and a greater proportion of participants at BP goal at weeks 4 and 12 compared with usual care. The DMO groups also received more therapeutic interventions than usual care. Medication adherence was ≥80% while using the DMO. The most common adverse event was a self-limited rash at the wearable sensor site (12%, 10/82). CONCLUSIONS: For patients failing hypertension and diabetes oral therapy, this DMO, which provides dose-by-dose feedback on medication ingestion adherence, can help lower BP, HbA1c, and LDL-C, and promote patient engagement and provider decision making. TRIAL REGISTRATION: Clinicaltrials.gov NCT02827630; https://clinicaltrials.gov/show/NCT02827630 (Archived by WebCite at http://www.webcitation.org/6rL8dW2VF).
AI snapshot
Written from the paper’s full text.
TL;DR
In a 12-week, open-label, cluster-randomized pilot in adults with uncontrolled hypertension and type 2 diabetes, a digital medicine offering (DMO) produced greater week-4 systolic BP reduction than usual care and greater proportions at BP goal. DMO also showed favorable trends in HbA1c and LDL-C, with high measured ingestion adherence, but the study was small and not powered for many outcomes.
Key findings
- Primary outcome: at week 4, combined DMO reduced SBP by mean –21.8 (SE 1.5) mm Hg vs –12.7 (SE 2.8) mm Hg for usual care; mean difference –9.1 mm Hg (95% CI –14.0 to –3.3; adjusted difference –10.0, 95% CI –16.1 to –3.9; effect size 0.69).
- BP goal: at week 4, 81% (65/80) of DMO participants vs 33.3% (9/27) usual care reached BP goal (difference 47.9%, 95% CI 18.5–77.3); at week 12, 98% (39/40) of 12-week DMO vs 51.7% usual care (difference 45.8%, 95% CI 7.1–84.5).
- Glycemia/lipids: among baseline HbA1c ≥8% (n=65), week-12 HbA1c changed by –0.72% (SE 0.23) for 4-week DMO, –0.31% (SE 0.31) for 12-week DMO, and +0.26% (SE 0.34) for usual care; among baseline LDL-C ≥70 mg/dL (n=54), DMO reduced LDL-C by –37.2 mg/dL at week 4 and –30.1 mg/dL at week 12 vs –4.0 and –10.9 mg/dL for usual care.
- Engagement/safety: mean ingestion adherence was 86% during first 4 weeks (combined DMO) and 84% over 12 weeks (12-week DMO); DMO providers made mean 6.5 (SD 5.3) medical decisions per participant vs 2.7 (SD 3.3) for usual care; most common adverse event was self-limited rash at wearable sensor site (12%, 10/82).
Methods
- Prospective, open-label, cluster-randomized, controlled, three-arm pilot at 13 outpatient primary care sites in California and Colorado; sites randomized to 4-week DMO, 12-week DMO, or usual care. Final modified intention-to-treat analysis included 109 participants (40, 40, 29) after excluding one usual-care site (5 participants) over cluster-randomization concern.
- Eligible adults had uncontrolled hypertension (SBP ≥140 mm Hg) and T2DM (HbA1c ≥7%) failing ≥2 antihypertensives and oral diabetes therapy; DMO included digital medicines (medication co-encapsulated with ingestible sensor), wearable sensor patch, and mobile app, with provider Web portal.
- Primary outcome was change in SBP at week 4; secondary/exploratory outcomes included SBP/HbA1c at week 12, DBP, FPG, LDL-C, BP goal, adherence, medical decisions, PAM, and safety. Differences used mixed-effects regression adjusted for baseline value, gender, age (<65 vs ≥65), and race (African American vs other), with cluster/ICC adjustment; missing data by LOCF; P values not reported for outcome data.
Limitations
- Stated: small sample size and only 13 sites, with baseline demographic differences; pilot designed to estimate effect size and may be underpowered for secondary/exploratory outcomes; no ambulatory BP monitoring, so in-clinic BP fluctuations possible; no objective adherence assessment in usual care, so the study cannot conclude DMO increased adherence; short duration means durability of BP, HbA1c, and LDL changes remains unproven.
- Stated: one usual-care site was excluded from final analysis due to concern about violation of cluster randomization.
- Evident from design/text: open-label cluster randomization without placebo/sham, and adherence measurable only in DMO users, may introduce expectancy and measurement asymmetries; P values were not reported for study outcomes.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
31 of 59 cited sources checked · 8 supported · 4 flagged · accuracy not yet measured
- Premisecitation
Approximately half of treated patients do not have adequate blood pressure or glycemic control.
“Despite the widespread availability of effective treatments, approximately half of treated patients do not have adequate blood pressure (BP) or glycemic control [4,6,7].”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [4] source
In ‘High Blood Pressure > Awareness, Treatment, and Control’ (page unavailable), the report says 70.4% of US adults taking antihypertensive medication had controlled BP—about 30%, not half, lacked control. Its diabetes discussion reports poor glycemic control in children receiving monotherapy, but does not establish the claimed proportion for treated patients generally. (LLM, conf=0.83)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [6] source
The Results (page not provided) report that 66% of hypertensive patients were treated and 21.5% were treated but had uncontrolled blood pressure—about one-third of treated patients, not approximately half. The approximately half figure (46%) applies to all hypertensive patients, including untreated patients. The paper examines cholesterol control, not glycemic control. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [7] source
The Results report that 55.1% of adults taking diabetes medication had HbA1c below 7.0% in 2005–2010, supporting the claim that approximately half lacked glycemic control. The cited passage does not report blood-pressure control among treated patients. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
The uncontrolled prior studies did not focus on disease control.
“However, these uncontrolled studies did not focus on disease control.”
Quote in the paperSubstantial claim4 of 6 sources checked- cites [16] Au-Yeung, KY, 2011, Am J Manag Care
- cites [17] source
- cites [18] source
- cites [19] source
- cites [20] source
The cited registry was uncontrolled, but its Introduction says it assessed patients with persistent hypertension, and its Discussion reports whether patients achieved blood-pressure control. The paper does not characterize prior uncontrolled studies as lacking a focus on disease control; its own study makes the contrary point. (LLM, conf=0.82)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [21] source
The Abstract (page not given) frames the study around identifying patients whose hypertension remains uncontrolled. It reports blood-pressure measurements during system use and says the findings informed treatment decisions to improve blood pressure. That is contrary to the claim that the study did not focus on disease control. (LLM, conf=0.84)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Prior clinical studies demonstrated the accuracy, safety, and feasibility of using the DMO in patients across a range of medical conditions, including hypertension and type 2 diabetes mellitus.
“Prior clinical studies demonstrated the accuracy, safety, and feasibility of using the DMO in patients across a range of medical conditions, including HTN and type 2 diabetes mellitus (T2DM)”
Quote in the paperSubstantial claim4 of 6 sources checked- cites [16] Au-Yeung, KY, 2011, Am J Manag Care
- cites [17] source
The Abstract and Discussion report accuracy, adverse events, and feasibility for an ingestible sensor system in patients receiving tuberculosis treatment. The Introduction mentions earlier studies in healthy volunteers and other small cohorts, but our copy does not establish the claimed findings in patients with hypertension or type 2 diabetes. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [18] source
The Study Design and Safety sections describe an ingestible-sensor study in kidney transplant recipients, with accurate detection and no serious or severe adverse events, though some patients stopped using the system because of skin intolerance. Our copy does not establish the claimed results across medical conditions, including hypertension and type 2 diabetes; searches for those conditions found no relevant passage. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [19] source
- cites [20] source
The Introduction (page not available) reports prior ingestible-sensor studies involving people with hypertension and diabetes, and describes a low rate of side effects and no device-related serious adverse events. It does not report that those studies demonstrated accuracy, nor does it specify type 2 diabetes; the Results support usability in this hypertension registry, not feasibility across all the listed conditions. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [21] source
The Abstract reports use of the digital system in eight patients with hypertension and describes it as informative and easy to use, supporting feasibility in that group. It does not report patients with type 2 diabetes or establish the system’s accuracy or safety across medical conditions. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
In the prior hypertension registry study, 37% of participants achieved blood pressure control after 2 weeks with no adjustments to their antihypertensive medications.
“Additionally, 37% of participants achieved BP control after 2 weeks with no adjustments to their antihypertensive medications [20].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [20] source
The Abstract reports that 32% of registry participants achieved their treatment goals using existing therapy, and the methods state that antihypertensive treatment was unchanged during the two weeks of sensor use. The Discussion mentions approximately 30% reaching their goals after two weeks without prescribing changes, but attributes that finding to a separate community-pharmacy study. Our copy does not support the claimed 37% for this registry. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
A prior hypertension registry study conducted in several primary care centers in the United Kingdom demonstrated that a prior version of the DMO with no patient feedback (digital medicines plus patch) uncovered a root cause for uncontrolled hypertension in all participants after 2 weeks of use.
“A prior hypertension registry study conducted in several primary care centers in the United Kingdom demonstrated the ability of a prior version of the DMO with no patient feedback (ie, digital medicines plus patch) to uncover a root cause for uncontrolled HTN in all participants after 2 weeks of use.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [20] source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- Premisecitation
Bloss et al failed to demonstrate benefits of digital health interventions (telemonitoring devices for BP, blood glucose, or electrocardiogram rhythm) compared to usual care in a large controlled study.
“Bloss et al [34] failed to demonstrate benefits of digital health interventions (telemonitoring devices for BP, blood glucose, or electrocardiogram rhythm) compared to usual care in a large controlled study.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [34] source
The Abstract reports little evidence of differences in health care costs or utilization, and the Results report no between-group difference in blood pressure or HbA1c. But the Abstract also reports some improvement in health self-management, so the blanket statement that the intervention showed no benefits overstates the findings. The Introduction describes a randomized trial of 160 people, which also limits the characterization of it as a large study. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisenone given
Many participants with diabetes in the control arm of the Bloss et al study used insulin and likely made insulin-titration decisions based on blood glucose results.
“For example, many participants with diabetes in the control arm used insulin and likely made insulin-titration decisions based on blood glucose results.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [34] source
Table 1 in Results > Participant demographics and information (page not available) lists 10 control-arm participants with insulin-dependent diabetes, supporting the claim that some participants with diabetes in that arm used insulin. The paper does not report whether they used blood glucose results to make insulin-titration decisions; that remains an inference. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Findingown data
At week 4, combined DMO had a statistically greater reduction in systolic blood pressure from baseline than usual care (mean change -21.8 vs -12.7 mm Hg; unadjusted mean difference -9.1, 95% CI -14.8 to -3.3 mm Hg; adjusted difference -10.0, 95% CI -16.1 to -3.9 mm Hg).
“At week 4, combined DMO had a mean change in SBP from baseline of –21.8 (SE 1.5) mm Hg compared to –12.7 (SE 2.8) mm Hg for usual care (combined DMO–usual care: mean –9.1, SE 2.9, 95% CI –14.8 to –3.3 mm Hg; ICC=0; adjusted difference: mean –10.0, SE 3.1, 95% CI –16.1 to –3.9 mm Hg; effect size=0.69)”
- Also stated in: § Results · plain
“At week 4, DMO resulted in a statistically greater SBP reduction than usual care (mean –21.8, SE 1.5 mm Hg vs mean –12.7, SE 2.8 mmHg; mean difference –9.1, 95% CI –14.0 to –3.3 mm Hg)”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
The most common adverse event was a self-limited rash at the wearable sensor site (12%, 10/82).
“The most common adverse event was a self-limited rash at the wearable sensor site (12%, 10/82).”
Quote in the paperNot a substantial claim - Findingnone given
DMO participants received more counseling, patient education, and lifestyle coaching than usual care.
“The DMO participants received more counseling, patient education, and lifestyle coaching than usual care.”
Quote in the paperNot a substantial claim - Findingown data
In the 12-week DMO group, the reduction in systolic blood pressure from baseline to week 12 was statistically larger than in usual care (mean -24.6 vs -15.2 mm Hg; mean difference -9.4, 95% CI -14.6 to -4.2 mm Hg).
“The 12-week DMO group continued to show larger reductions in SBP from baseline (mean –24.6, SE 1.7 mm Hg), which was statistically larger compared to usual care (mean –15.2, SE 2.0 mm Hg; mean difference –9.4, SE 2.7, 95% CI –14.6 to –4.2 mm Hg).”
Quote in the paperSubstantial claim - Findingown data
At week 4, a greater proportion of DMO participants achieved blood pressure goal (<140/90 mm Hg) than usual care participants (81% vs 33.3%; mean difference 47.9%, 95% CI 18.5%-77.3%).
“At week 4, a greater proportion of DMO participants achieved their BP goal (81%, 65/80) compared with usual care (33.3%, 9/27; mean difference 47.9%, SE 15.0%, 95% CI 18.5%-77.3%)”
Quote in the paperSubstantial claim - Findingown data
Medication adherence was ≥80% while using the DMO.
“Medication adherence was ≥80% while using the DMO.”
Quote in the paperNot a substantial claim - Findingown data
At week 12, 98% of 12-week DMO participants achieved blood pressure goal compared with 51.7% of usual care participants (mean difference 45.8%, 95% CI 7.1%-84.5%).
“At week 12, 98% (39/40) of 12-week DMO participants achieved their BP goal compared with 51.7% of usual care participants (mean difference 45.8%, 95% CI 7.1% to 84.5%).”
Quote in the paperSubstantial claim - Findingown data
There were no significant differences in change in fasting plasma glucose between the DMO and usual care groups.
“There were no significant differences in change in FPG between the DMO and usual care groups.”
Quote in the paperNot a substantial claim - Findingnone given
The DMO groups received more therapeutic interventions than usual care.
“The DMO groups also received more therapeutic interventions than usual care.”
Quote in the paperNot a substantial claim - Findingown data
DMO providers made approximately 3 times more medical decisions per participant than usual care (mean 6.5, SD 5.3 DMO vs mean 2.7, SD 3.3 usual care).
“The DMO providers made approximately 3 times more medical decisions per participant (mean 6.5, SD 5.3 DMO vs mean 2.7, SD 3.3 usual care).”
Quote in the paperNot a substantial claim - Findingown data
The DMO groups had greater reductions in LDL-C than usual care.
“The DMO groups had greater reductions in HbA1c, DBP, and LDL-C, and a greater proportion of participants at BP goal at weeks 4 and 12 compared with usual care.”
Quote in the paperSubstantial claim - Findingown data
The differences in LDL-C reduction between DMO and usual care were even greater in participants with a baseline LDL-C of 70 mg/dL or higher.
“These differences were even greater in participants with a baseline LDL-C of 70 mg/dL or higher.”
Quote in the paperNot a substantial claim - Findingown data
The frequency of medication changes per participant was similar for DMO (mean 0.83, SD 1.49) and usual care (mean 1.00, SD 1.58).
“The frequency of medication changes per participant was similar for DMO (mean 0.83, SD 1.49) and usual care (mean 1.00, SD 1.58).”
Quote in the paperNot a substantial claim - Findingown data
Among statin users, reductions in LDL-C were larger for DMO compared with usual care.
“Among statin users, reductions in LDL-C were larger for DMO compared with usual care.”
Quote in the paperNot a substantial claim - Findingown data
At week 12, DMO had a nonsignificant difference in HbA1c reduction compared with usual care (4-week DMO: mean -0.32%; 12-week DMO: mean -0.08%; usual care: mean 0.28%).
“At week 12, DMO had a nonsignificant difference in HbA1c reduction compared to usual care (4-week DMO: mean –0.32%, SE 0.22%; 12-week DMO: mean –0.08%, SE 0.22%; usual care: mean 0.28%, SE 0.35%).”
Quote in the paperNot a substantial claim - Findingown data
At week 4, for participants with uncontrolled BP, investigators in the DMO arm were more likely to make therapy adjustments or give adherence counseling and/or education guided by the DMO data compared to usual care participants.
“We found that at week 4, for participants with uncontrolled BP, investigators in the DMO arm were more likely to make therapy adjustments or give adherence counseling and/or education guided by the DMO data compared to usual care participants.”
Quote in the paperSubstantial claim - Findingown data
Most participants agreed sharing their data with their provider helped them understand their care plan (91%, 68/75).
“and that sharing their data with their provider helped them to understand their care plan (91%, 68/75).”
Quote in the paperNot a substantial claim - Findingown data
There were no serious adverse events related to the DMO or the study.
“There were no serious AEs related to the DMO or the study.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
Use of a cluster-randomized design mitigated the risk of investigator bias by ensuring providers cared for participants assigned to only one arm.
“Use of a cluster-randomized design mitigated the risk of investigator bias by ensuring providers cared for participants assigned to only one arm.”
Quote in the paperSubstantial claim - Premisecitation
Human beings in general are poor intuitive statisticians in that they cannot estimate their risk for consequences related to nonadherence and poor disease control.
“The psychology literature suggests that human beings in general are poor intuitive statisticians in that they cannot estimate their risk for consequences related to nonadherence and poor disease control [15].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] Kahneman, D, 2011, Thinking Fast And Slow
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Despite limitations, this study demonstrates positive evidence that a digital health offering that measures and promotes medication adherence, patient self-care, and provider engagement can help patients improve their level of BP and diabetes control.
“Despite these limitations, this study demonstrates positive evidence that a digital health offering that measures and promotes medication adherence, patient self-care, and provider engagement can help patients improve their level of BP and diabetes control.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The small sample size may have contributed to lack of power to detect differences between groups for some of the secondary and exploratory outcomes.
“The small sample size may have also contributed to lack of power to detect differences between groups for some of the secondary and exploratory outcomes.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
Baseline differences may have still affected the results for BP at goal.
“However, they may have still affected the results for BP at goal.”
Quote in the paperNot a substantial claim - Premisecitation
The frequency of skin reactions with the DMO is generally lower than published research on adhesive tape and patches.
“the frequency of skin reactions is generally lower than published research on adhesive tape and patches [25-28].”
Quote in the paperNot a substantial claim0 of 4 sources checked - Interpretationreasoning
Reducing BP, HbA1c, and LDL-C in a consistent manner over a longer term through the use of DMO-like approaches may help patients decrease their overall risk for complications.
“Reducing BP, HbA1c, and LDL-C in a consistent manner over a longer term through the use of DMO-like approaches may help patients decrease their overall risk for complications.”
Quote in the paperSubstantial claim - Interpretationcitation
Use of the DMO was safe.
“Use of the DMO was also safe; the frequency of skin reactions is generally lower than published research on adhesive tape and patches [25-28].”
Quote in the paperSubstantial claim - Study design and conductown data
The clinical findings were maintained in analyses adjusting for age, gender, race, and baseline clinical parameters.
“These clinical findings were maintained in analyses adjusting for age, gender, race, and baseline clinical parameters.”
Quote in the paperSubstantial claim - Study design and conductown data
The adjusted analyses suggested that baseline differences did not affect the outcomes.
“The adjusted analyses suggested that these baseline differences did not affect the outcomes.”
Quote in the paperNot a substantial claim - Interpretationreasoning
We cannot conclude that the DMO led to higher levels of medication adherence.
“Therefore, we cannot conclude that DMO led to higher levels of medication adherence.”
Quote in the paperSubstantial claim
- May combine two claims. 28
- Classified as probably not a substantial claim. 21
- The quote only partly states this claim. 1
May combine two claims.
PremisecitationPoor medication adherence, lack of patient engagement, and therapeutic inertia are major contributors to patients not reaching their therapeutic targets.
“Poor medication adherence, lack of patient engagement, and therapeutic inertia are major contributors to patients not reaching their therapeutic targets [8-12].”
Quote in the paperSubstantial claim1 of 5 sources checked- cites [8] SabatéEAdherence to Long-Term Therapies: Evidence for Action2003GenevaWorld Health Organizationhttp://apps.who.int/iris/bitstream/10665/42682/1/9241545992.pdf
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [9] source
- cites [10] source
The Background section links failure to reach blood-pressure targets to treatment adherence and clinical inertia. Results > Coding also discusses patients’ lack of enthusiasm and unwillingness to take medication or follow counseling, but says these attitudes were rarely explored as causes of inertia. The paper supports these factors in hypertension care, not the broader assertion that all three are major contributors to unmet therapeutic targets generally. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [11] Lee, WC, 2006, Manag Care Interface
- cites [12] Balkrishnan, R, 2003, Clin Ther source
May combine two claims.
PremisecitationPrior clinical studies suggested this DMO can identify reasons for uncontrolled hypertension and help patients achieve blood pressure control.
“and suggested this DMO can identify reasons for uncontrolled HTN and help patients achieve BP control [16-21].”
Quote in the paperSubstantial claim4 of 6 sources checked- cites [16] Au-Yeung, KY, 2011, Am J Manag Care
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [17] source
The Results report that the ingestible-sensor system detected medication ingestions in patients receiving tuberculosis therapy, and the Discussion says it could help identify poor adherence. The study did not investigate uncontrolled hypertension, determine its causes, or measure whether patients achieved blood-pressure control. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [18] source
The Study Design and Discussion describe an ingestible sensor used to assess medication adherence in kidney transplant recipients. Our copy does not address uncontrolled hypertension or blood-pressure control; searches for hypertension and blood pressure found no relevant passage. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites [19] source
- cites [20] source
- cites [21] source
Classified as probably not a substantial claim.
Study design and conductcitationBlood pressure was recorded at each visit as the mean of two or more measurements obtained using the recommended measurement guidelines from the American Heart Association.
“Blood pressure recorded at each visit was the mean of two or more BP measurements obtained using the recommended measurement guidelines from the American Heart Association [22].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [22] source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHypertension and diabetes mellitus are major risk factors for cardiac diseases, stroke, and kidney diseases.
“Hypertension (HTN) and diabetes mellitus are major risk factors for cardiac diseases, stroke, and kidney diseases [1-5].”
Quote in the paperNot a substantial claim2 of 5 sources checked- cites [1] 2011, MMWR Morb Mortal Wkly Rep
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [2] source
- cites [3] source
- cites [4] source
The High Blood Pressure ‘Aftermath’ section reports higher risks of heart disease and stroke with elevated blood pressure, and the ‘Prehypertension’ section reports an association with end-stage renal disease; page numbers were not available in our copy. The retrieved Diabetes Mellitus passages do not establish diabetes as a risk factor for the three disease categories, so the full claim is not supported by the passages found. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [5] source
In “Potential Impact of CVD Prevention” (page unavailable), the paper calls hypertension a major risk factor for stroke, coronary heart disease, and heart failure. In “Commentary” (page unavailable), it identifies diabetes mellitus as a risk factor for cardiovascular disease. The cited passages do not establish the claim that both conditions are major risk factors for kidney disease, or that diabetes is a major risk factor for each listed cardiac and stroke outcome. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe Patient Activation Measure (PAM) is a validated measure of patient activation that includes a person's beliefs, motivation, and actions for self-care.
“Participants also completed the 10-question Patient Activation Measure (PAM), a validated measure of patient activation that includes person’s beliefs, motivation, and actions for self-care at these visits [9,23,24].”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [9] source
- cites [23] source
The Conclusions describe PAM as a valid measure of activation encompassing beliefs, confidence, and action to manage health. However, the Methods report validation of a 22-item PAM, not the 10-question version participants completed; this source does not establish that version’s validity. The indexed passages do not provide page numbers. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [24] source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA recent study demonstrated benefits of a pharmacist case management intervention to reduce BP using a telemonitoring BP device.
“In contrast, a recent study demonstrated benefits of a pharmacist case management intervention to reduce BP using a telemonitoring BP device [35].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [35] source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStatin adherence, as evidenced by LDL-C reduction, has been associated with improved outcomes in diabetes patients.
“Statin adherence, as evidenced by LDL-C reduction, has also been associated with improved outcomes in diabetes patients [29,32,33].”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [29] Lewington, S, 2002, Lancet source
- cites [32] Farsaei, S, 2015, J Res Med Sci
- cites [33] source
In §3, “Assumptions and Definitions” (page unavailable), the pathway recommends statin therapy for patients with diabetes and advises monitoring both adherence and LDL-C response. It also discusses cardiovascular risk reduction, but does not report an association between measured statin adherence, LDL-C reduction, and improved outcomes specifically in patients with diabetes. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIn the Bloss et al study, no instructions were given to providers on use of the device data; this has been shown to make blood glucose monitoring less effective in non-insulin-using diabetes patients.
“In that study, no instructions were given to providers on use of the device data; this has been shown to make blood glucose monitoring less effective in non-insulin-using diabetes patients [30,34].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [30] source
- cites [34] source
The Study enrollment section says HealthComp nurses could view device readings and describes instructions given to participants, but does not say whether providers received instructions on using the data. The Health self-management results report no difference in HbA1c, but do not test whether a lack of provider instructions made glucose monitoring less effective for non-insulin-using patients. Searches for provider instructions and that proposed effect found no decisive passage in our copy; page numbers were not available. (LLM, conf=0.74)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn the pharmacist case management study, the intervention group had a statistically greater reduction in SBP at 6 months than usual care (mean difference -10.7, 95% CI -14.3 to -7.3 mm Hg).
“The intervention group had a statistically greater reduction in SBP at 6 months than usual care (mean difference –10.7, 95% CI –14.3 to –7.3 mm Hg), similar to the reductions in SBP observed in our pilot study on the DMO, except the pharmacist case management study only addressed hypertension, whereas this DMO study evaluated patients with both uncontrolled HTN and T2DM.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [35] source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA reduction in HbA1c of 0.5% or more is considered clinically significant to reduce the risk of microvascular complications.
“A reduction in HbA1c of 0.5% or more is considered clinically significant to reduce the risk of microvascular complications [30,31].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [30] source
- cites [31] source
The Discussion (section 4.1; page unavailable) calls a 0.57% A1C improvement clinically meaningful. It separately reports that a 0.9% decrease was associated with fewer microvascular complications. It does not establish 0.5% or more as a threshold for reducing that risk. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe inclusion criteria in the Bloss et al study were based on cost versus level of disease control and may have enrolled participants not needing additional interventions.
“Finally, the inclusion criteria were based on cost versus level of disease control and may have enrolled participants not needing additional interventions.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [34] source
The Methods (Study design and Study recruitment; pages not provided) say eligibility was based on a condition-related insurance claim, while recruitment was prioritized by the dollar amount of claims—not by measured disease control. This makes it plausible that some participants did not need additional intervention, but the paper does not establish that they were enrolled. The claim also conflates recruitment priority with inclusion criteria. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationThe reductions in SBP observed in this pilot study on the DMO are similar to those in the pharmacist case management study, except the pharmacist study only addressed hypertension whereas this DMO study evaluated patients with both uncontrolled HTN and T2DM.
“similar to the reductions in SBP observed in our pilot study on the DMO, except the pharmacist case management study only addressed hypertension, whereas this DMO study evaluated patients with both uncontrolled HTN and T2DM.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [35] source
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe final modified-ITT group included 109 participants (40 in 4-week DMO, 40 in 12-week DMO, and 29 in usual care).
“The final modified-ITT group included 109 participants (40 in 4-week DMO, 40 in 12-week DMO, and 29 in usual care) (Figure 2).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMean ingestion adherence was 86% during the first 4 weeks (combined DMO) and 84% for the entire 12 weeks (12-week DMO).
“The mean ingestion adherence was 86% during the first 4 weeks (combined DMO) and 84% for the entire 12 weeks (12-week DMO) (see Figure 4).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDMO participants had a greater reduction in diastolic blood pressure than usual care participants, but the difference was not statistically significant.
“DMO participants also had a greater reduction in DBP compared with usual care, but the results were not significant.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe 4-week DMO group had greater reductions in systolic and diastolic blood pressure at week 12 than usual care, but the differences were not statistically significant.
“The 4-week DMO group also had greater reductions in SBP and DBP at week 12 than usual care, but the results were not statistically significantly different”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataAt week 4, DMO participants with uncontrolled BP who were medication adherent (≥80%) appeared to be 4 times more likely than usual care participants to receive an antihypertensive titration, but the difference was not statistically significant.
“At week 4, DMO participants with uncontrolled BP, who were medication adherent (≥80%), appeared to be 4 times more likely than usual care participants to receive an antihypertensive titration.”
- Also stated in: § Secondary Outcomes · hedged
“this finding should be interpreted with caution because the actual number of medication changes that occurred was small and the difference was not statistically significant.”
Quote in the paperNot a substantial claim- Also stated in: § Secondary Outcomes · hedged
May combine two claims.
Findingown dataAt week 12, the combined DMO groups had a greater reduction in systolic blood pressure than usual care, but the difference was not statistically significant (mean change -20.9 vs -15.2 mm Hg; mean difference -4.6, 95% CI -14.3 to 5.1 mm Hg).
“Week 12, mean change (SE) | –15.2 (2.0) | –20.9 (3.4) | –4.6 (4.9); (–14.3, 5.1)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMost participants agreed the DMO was easy to learn (92%, 69/75) and to incorporate in their daily routine (91%, 68/75).
“In general, participants agreed the DMO was easy to learn (92%, 69/75) and to incorporate in their daily routine (91%, 68/75)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDMO participants had a nonsignificantly greater increase in PAM score compared with usual care; changes were mean 7.9 (SE 3.8) for 4-week DMO, mean 7.9 (SE 3.0) for 12-week DMO, and mean 1.7 (SE 3.3) for usual care at week 12.
“The DMO participants had a nonsignificantly greater increase in PAM score compared with usual care; the changes were mean 7.9 (SE 3.8) for 4-week DMO, mean 7.9 (SE 3.0) for 12-week DMO, and mean 1.7 (SE 3.3) for usual care at week 12 (see Table 6).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMost participants agreed using the DMO data was useful to manage (91%, 68/75) and improved their health (93%, 70/75).
“and that using the data was useful to manage (91%, 68/75) and improved their health (93%, 70/75)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data12 participants reported study medication-related AEs (14 events total) with gastrointestinal AEs (9 events in 8 participants; 7 mild, 2 moderate, 1 moderate event led to study withdrawal, 10%) being the most common.
“Additionally, 12 participants reported study medication-related AEs (14 events total) with gastrointestinal AEs (9 events in 8 participants; 7 mild, 2 moderate, 1 moderate event led to study withdrawal, 10%) being the most common.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataParticipants using the DMO showed lower trends in HbA1c (as much as a 1% greater reduction) and LDL-C (33 mg/dL greater reduction) compared to usual care.
“Participants using the DMO also showed lower trends in HbA1c (as much as a 1% greater reduction), and LDL-C (33 mg/dL greater reduction) compared to participants who received usual clinical care.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataParticipants with uncontrolled HTN and T2DM who used the DMO had significantly greater reductions in SBP within 4 weeks than usual care (9 mm Hg greater reduction), which was maintained at 12 weeks with a significantly greater proportion achieving BP goal.
“In this study, participants with uncontrolled HTN and T2DM who used the DMO had significantly greater reductions in SBP within 4 weeks than the usual care group (9 mm Hg greater reduction), which was maintained at 12 weeks with a significantly greater proportion of patients achieving their BP goal.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data32 of 82 DMO participants (39%) reported 59 adverse events, of which 33 were unrelated to DMO; 8 of 36 usual care participants (22%) reported 17 AEs.
“There were 32 of 82 DMO participants (39%) who reported 59 adverse events (AEs), of which 33 were unrelated to the DMO; 8 of 36 usual care participants (22%) reported 17 AEs.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn participants with baseline LDL-C ≥70 mg/dL, the mean change in LDL-C was -37.2 mg/dL at week 4 and -30.1 mg/dL at week 12 for DMO, and -4.0 mg/dL at week 4 and -10.9 mg/dL at week 12 for usual care.
“In participants with baseline LDL-C of 70 mg/dL or higher (n=54; 4-week DMO: n=6, 12-week DMO: n=28, usual care group: n=20), changes in LDL-C were mean –37.2 (SE 7.9) mg/dL at week 4 and mean –30.1 (SE 8.0) mg/dL at week 12 for DMO and mean –4.0 (4.3) mg/dL at week 4 and mean –10.9 (SE 5.9) mg/dL at week 12 for usual care.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe differences in change in LDL-C between DMO and usual care were -33.2 (95% CI -50.6 to -15.8) at week 4 and -19.2 (95% CI -36.4 to -2.0) at week 12, and these differences were statistically significant.
“The differences in change in LDL-C between DMO and the usual care group were –33.2 (95% CI –50.6 to –15.8) at week 4 and –19.2 (95% CI –36.4 to –2.0) at week 12. These differences were statistically significant (see Table 5 for complete results).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThere were 14 device-related AEs in 11 participants, most commonly mild skin reactions to the wearable sensor (13 events in 10 participants, 12%).
“There were 14 device-related AEs in 11 participants, most commonly mild skin reactions to the wearable sensor (13 events in 10 participants, 12%).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataMost participants (81%, 61/75) did not mind wearing the patch.
“Most (81%, 61/75) did not mind wearing the patch (see Table 7).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataDifferences between groups were calculated using a mixed-effects regression model that incorporated covariates found to be significant in the model: baseline value, gender, age (<65 vs ≥65 years), and race (African American vs other).
“Differences between groups were calculated using a mixed-effects regression model that incorporated covariates found to be significant in the model: baseline value, gender, age (<65 years vs ≥65 years), and race (African American vs other).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataOne usual care site with five participants was not included in the final analysis over concern about violation of the cluster randomization.
“One usual care site with five participants was not included in the final analysis over concern about violation of the cluster randomization.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataA sensitivity analysis showed that excluding the one usual care site did not impact the primary outcome; the change in SBP for usual care with the excluded site was mean -14.0 (SE 2.7; difference from combined DMO: -7.8, SE 2.8, 95% CI -13.3 to -2.3 mm Hg).
“A sensitivity analysis showed that excluding the one usual care site did not impact the primary outcome; the change in SBP for usual care with the excluded site was mean –14.0 (SE 2.7; difference from combined DMO: –7.8, SE 2.8, 95% CI –13.3 to –2.3 mm Hg).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenThe standard error was adjusted for cluster (study site) effects as well as the intracluster correlation coefficient (ICC) calculated using a one-way analysis of variance to adjust for any imbalances between and within clusters.
“The SE was adjusted for cluster (study site) effects as well as the intracluster correlation coefficient (ICC) calculated using a one-way analysis of variance to adjust for any imbalances between and within clusters.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMedication nonadherence alone costs US $290 billion annually in the United States and is difficult to assess and improve.
“Medication nonadherence alone costs US $290 billion annually in the United States and is difficult to assess and improve [13,14].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [13] New England Healthcare InstituteThinking Outside the Pillbox: A System-Wide Approach to Improving Patient Medication Adherence for Chronic Disease200908http://www.nehi.net/writable/publication_files/file/pa_issue_brief_final.pdf
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [14] source
May combine two claims.
Interpretationown dataFor patients failing hypertension and diabetes oral therapy, this DMO, which provides dose-by-dose feedback on medication ingestion adherence, can help lower blood pressure, HbA1c, and LDL-C, and promote patient engagement and provider decision making.
“For patients failing hypertension and diabetes oral therapy, this DMO, which provides dose-by-dose feedback on medication ingestion adherence, can help lower BP, HbA1c, and LDL-C, and promote patient engagement and provider decision making.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenTarget enrollment in this pilot study was 120 participants to ensure at least 90 evaluable participants at the end of the study.
“Target enrollment in this pilot study was 120 participants to ensure at least 90 evaluable participants at the end of the study.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningParticipants with at least one follow-up blood pressure were included in this modified intention-to-treat analysis, which represented the minimal data needed for a pre/post comparison for each participant.
“Participants with at least one follow-up BP were included in this modified intention-to-treat (ITT) analysis, which represented the minimal data needed for a pre/post comparison for each participant.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenMissing data were handled using last observation carried forward.
“Missing data were handled using last observation carried forward.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningA comparison of adherence to treatment was not included among the goals of this study.
“A comparison of adherence to treatment was not included among the goals of this study.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningNo objective assessment of adherence to treatment was attempted in the usual care arm because there are only indirect methods of measuring adherence as an alternative to DMO and none of these methods have been established to be inherently reliable or accurate.
“No objective assessment of adherence to treatment was attempted in the usual care arm because there are only indirect methods of measuring adherence as an alternative to DMO and none of these methods have been established to be inherently reliable or accurate.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationEach 2 mm Hg reduction in SBP or 1 mm Hg reduction in DBP has been associated with lowering mortality from stroke and ischemic heart disease by 10% and 7%, respectively.
“Each 2 mm Hg reduction in SBP or 1 mm Hg reduction in DBP has been associated with lowering mortality from stroke and ischemic heart disease by 10% and 7%, respectively [29].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Lewington, S, 2002, Lancet source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningAmbulatory BP monitoring was not used; therefore, BP fluctuations may be potentially related to the context of in-clinic measurement.
“In order to demonstrate use of the DMO in the real-world primary care clinic workflow, ambulatory BP monitoring was not used; therefore, BP fluctuations may be potentially related to the context of in-clinic measurement (outside of the participant’s natural context).”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningThis study had a small sample size and included only 13 sites, which likely contributed to discrepancies noted in participant demographic and baseline characteristics.
“This study had a small sample size and included only 13 sites, which likely contributed to discrepancies noted in participant demographic and baseline characteristics.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningThe results should be generalizable given the diversity of the study population.
“The results should be generalizable given the diversity of the study population.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA 1-point increase in PAM score is associated with a 1.8% increased likelihood of decreasing HbA1c to less than 8%.
“a 1-point increase in PAM score is associated with a 1.8% increased likelihood of decreasing HbA1c to less than 8% [9].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] source
The paper relies on this without support.
Usual care as delivered in the trial represents the current standard of care that patients receive today.
“usual care (to compare with the current standard that patients receive today)”
The paper relies on this without support.
Average adherence to chronic medicines is approximately 50%.
“In the literature, average adherence to chronic medicines is approximately 50%; participants using DMO achieved a mean adherence of 86% during the first 4 weeks.”
The authors state this as an assumption.
Improved clinical outcomes with the DMO were related in part to improved self-care (medication adherence and patient activation).
“We hypothesize that improved clinical outcomes with the DMO were related in part to improved self-care (medication adherence and patient activation).”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Usual-care Hispanic percentage is incorrect
MinorTable 2 reports 14 Hispanic participants among 29 usual-care participants. That is 48.3%, not 45%.
Reported 45 · recomputed 48.275862
“Hispanic ethnicity (includes all races), n (%) | 22 (55) | 15 (38) | 37 (46) | 14 (45)”
Results give a third Hispanic participant count
MinorThe Results section reports 57 Hispanic participants, whereas the abstract reports 50. Table 2's group counts total 51.
“minorities (52.3%, 57/109 Hispanics)”
“Hispanic: 45.9%, 50/109”
HbA1c difference has the wrong sign in the Results text
MinorFor participants with baseline HbA1c of at least 8%, the 4-week DMO change of -0.72% minus the usual-care change of 0.26% is -0.98%, as Table 4 reports. The Results text states positive 0.98% despite giving a wholly negative confidence interval.
Reported 0.98 · recomputed -0.98
“difference from 4-week DMO 0.98%, 95% CI –1.72 to –0.24”
Primary-outcome confidence interval has two lower bounds
MinorThe Results text gives a lower 95% confidence bound of -14.8 mm Hg, but Table 3 gives -14.0 mm Hg for the same week-4 SBP difference.
“mean –9.1, SE 2.9, 95% CI –14.8 to –3.3 mm Hg”
“–9.1 (2.9); (–14.0, –3.3)”
Usual-care baseline FPG standard error differs between tables
MinorTable 2 gives the usual-care baseline FPG as 165.0 with SE 8.5 mg/dL; Table 3 gives the same baseline mean with SE 13.6 mg/dL.
“FPG (mg/dL), mean (SE) | 174.2 (13.6) | 191.4 (16.2) | 182.8 (9.9) | 165.0 (8.5)”
“Baseline, mean (SE) | 165.0 (13.6) | 182.8 (9.9)”
Cites
Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association
Benjamin, E. J., Blaha, M. J., Chiuve, S. E., Cushman, M., Das, S. R., Deo, R., de Ferranti, S. D., Floyd, J., Fornage, M., Gillespie, C., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000485 · Cited by 12,591 · see citing works
Pickering, T. G., Hall, J. E., Appel, L. J., Falkner, B. E., Graves, J., Hill, M. N., Jones, D. W., Kurtz, T., Sheps, S. G., & Roccella, E. J. (2005) · Circulation · doi:10.1161/01.cir.0000154900.76284.f6 · Cited by 3,985 · see citing works
Heidenreich, P. A., Trogdon, J. G., Khavjou, O. A., Butler, J., Dracup, K., Ezekowitz, M. D., Finkelstein, E. A., Hong, Y., Johnston, S. C., Khera, A., et al. (2011) · Circulation · doi:10.1161/cir.0b013e31820a55f5 · Cited by 3,208 · see citing works
Hibbard, J. H., Stockard, J., Mahoney, E. R., & Tusler, M. (2004) · Health Services Research · doi:10.1111/j.1475-6773.2004.00269.x · Cited by 2,748 · cited 1× · see citing works
“Participants also completed the 10-question Patient Activation Measure (PAM), a validated measure of patient activation that includes person’s beliefs, motivation, and actions for self-care at these visits [9,23,24].”
MethodPrevalence of and Trends in Diabetes Among Adults in the United States, 1988-2012
Menke, A., Casagrande, S., Geiss, L., & Cowie, C. C. (2015) · JAMA · doi:10.1001/jama.2015.10029 · Cited by 2,362 · see citing works
Pickering, T. G., Hall, J. E., Appel, L. J., Falkner, B. E., Graves, J., Hill, M. N., Jones, D. W., Kurtz, T., Sheps, S. G., & Roccella, E. J. (2005) · Hypertension · doi:10.1161/01.hyp.0000150859.47929.8e · Cited by 2,051 · see citing works
Chrvala, C. A., Sherr, D., & Lipman, R. D. (2016) · Patient Education and Counseling · doi:10.1016/j.pec.2015.11.003 · Cited by 914 · see citing works
Margolis, K. L., Asche, S. E., Bergdall, A. R., Dehmer, S. P., Groen, S. E., Kadrmas, H. M., Kerby, T. J., Klotzle, K. J., Maciosek, M. V., Michels, R. D., et al. (2013) · JAMA · doi:10.1001/jama.2013.6549 · Cited by 591 · see citing works
Trends in Prevalence and Control of Diabetes in the United States, 1988–1994 and 1999–2010
Selvin, E., Parrinello, C. M., Sacks, D. B., & Coresh, J. (2014) · Annals of Internal Medicine · doi:10.7326/m13-2411 · Cited by 532 · see citing works
Lloyd-Jones, D. M., Morris, P. B., Ballantyne, C. M., Birtcher, K. K., Daly, D. D., DePalma, S. M., Minissian, M. B., Orringer, C. E., & Smith, S. C. (2016) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2016.03.519 · Cited by 459 · see citing works
Hibbard, J. H., Greene, J., & Overton, V. (2013) · Health Affairs · doi:10.1377/hlthaff.2012.1064 · Cited by 398 · see citing works
Balkrishnan, R., Rajagopalan, R., Camacho, F. T., Huston, S. A., Murray, F. T., & Anderson, R. T. (2003) · Clinical Therapeutics · doi:10.1016/s0149-2918(03)80347-8 · Cited by 350 · see citing works
(2011) · PubMed · Cited by 343 · see citing works
Self-monitoring of blood glucose in type 2 diabetes: systematic review
Clar, C., Barnard, K., Cummins, E., Royle, P., & Waugh, N. (2010) · Health Technology Assessment · doi:10.3310/hta14120 · Cited by 274 · see citing works
Remmers, C., Hibbard, J., Mosen, D. M., Wagenfield, M., Hoye, R. E., & Jones, C. (2009) · Journal of Ambulatory Care Management · doi:10.1097/jac.0b013e3181ba6e77 · Cited by 242 · see citing works
9. Cardiovascular Disease and Risk Management
American Diabetes Association (2017) · Diabetes Care · doi:10.2337/dc17-s012 · Cited by 223 · see citing works
Scientific, B. (2009) · Cited by 192 · see citing works
Feasibility of an Ingestible Sensor-Based System for Monitoring Adherence to Tuberculosis Therapy
Belknap, R., Weis, S., Brookens, A., Au-Yeung, K. Y., Moon, G., DiCarlo, L., & Reves, R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0053373 · Cited by 160 · see citing works
Egan, B. M., Li, J., Qanungo, S., & Wolfman, T. E. (2013) · Circulation · doi:10.1161/circulationaha.112.000500 · Cited by 150 · see citing works
Lebeau, J.-P., Cadwallader, J.-S., Aubin-Auger, I., Mercier, A., Pasquet, T., Rusch, E., Hendrickx, K., & Vermeire, E. (2014) · BMC Family Practice · doi:10.1186/1471-2296-15-130 · Cited by 148 · see citing works
Insulin Infusion Set: The Achilles Heel of Continuous Subcutaneous Insulin Infusion
Heinemann, L., & Krinelke, L. (2012) · Journal of Diabetes Science and Technology · doi:10.1177/193229681200600429 · Cited by 148 · see citing works
Ingredients of Successful Interventions to Improve Medication Adherence
Zullig, L. L., Peterson, E. D., & Bosworth, H. B. (2013) · JAMA · doi:10.1001/jama.2013.282818 · Cited by 136 · see citing works
(2006) · PubMed · Cited by 123 · see citing works
HURT, R. D., LAUGER, G. G., OFFORD, K. P., KOTTKE, T. E., & DALE, L. C. (1990) · Mayo Clinic Proceedings · doi:10.1016/s0025-6196(12)62186-7 · Cited by 113 · see citing works
Bloss, C. S., Wineinger, N. E., Peters, M., Boeldt, D. L., Ariniello, L., Kim, J. Y., Sheard, J., Komatireddy, R., Barrett, P., & Topol, E. J. (2016) · PeerJ · doi:10.7717/peerj.1554 · Cited by 107 · see citing works
Eisenberger, U., Wüthrich, R. P., Bock, A., Ambühl, P., Steiger, J., Intondi, A., Kuranoff, S., Maier, T., Green, D., DiCarlo, L., et al. (2013) · Transplantation · doi:10.1097/tp.0b013e31829b7571 · Cited by 85 · see citing works
Kane, J. M., Perlis, R. H., DiCarlo, L. A., Au-Yeung, K., Duong, J., & Petrides, G. (2013) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.12m08222 · Cited by 81 · cited 1× · see citing works
“) Prior clinical studies demonstrated the accuracy, safety, and feasibility of using the DMO in patients across a range of medical conditions, including HTN and type 2 diabetes mellitus (T2DM), and suggested this DMO can identify reasons for uncontrolled HTN and help patients achieve BP control [16-21].”
Background(2011) · PubMed · Cited by 38 · see citing works
R, N., N, M., RJ, W., P, G., SC, T., R, F., W, X., Y, K., I, S., S, L., et al. (2017) · Journal of Community Medicine & Health Education · doi:10.4172/2161-0711.1000506 · Cited by 18 · see citing works
Adherence to statin therapy in patients with type 2 diabetes: An important dilemma.
(2015) · PubMed Central · Cited by 13 · see citing works
Patient-Controlled Transdermal Fentanyl Versus Intravenous Morphine Pump After Spine Surgery
Lindley, E. M., Milligan, K., Farmer, R., Burger, E. L., & Patel, V. V. (2015) · Orthopedics · doi:10.3928/01477447-20150902-61 · Cited by 13 · see citing works
Hypertension Assessment and Management: Role for Digital Medicine
Godbehere, P., & Wareing, P. (2014) · The Journal of Clinical Hypertension · doi:10.1111/jch.12246 · Cited by 10 · see citing works
(2006) · PubMed · Cited by 5 · see citing works
Flagged first, then by citations
Research works printed but not linked: 6
- 2011, MMWR Morb Mortal Wkly Rep, 60, 103
- Lee, WC, 2006, Manag Care Interface, 19, 31
- Kahneman, D, 2011, Thinking Fast And Slow
- Au-Yeung, KY, 2011, Am J Manag Care, 17, e277
- Suwanmalee, O, 2006, J Med Assoc Thai, 89 Suppl 4, S1
- Farsaei, S, 2015, J Res Med Sci, 20, 109
Cited by
Sorted by citations
Omboni, S., McManus, R. J., Bosworth, H. B., Chappell, L. C., Green, B. B., Kario, K., Logan, A. G., Magid, D. J., Mckinstry, B., Margolis, K. L., et al. (2020) · Hypertension · doi:10.1161/hypertensionaha.120.15873 · Cited by 307 · see citing works
The Influence of Wearables on Health Care Outcomes in Chronic Disease: Systematic Review
Mattison, G., Canfell, O., Forrester, D., Dobbins, C., Smith, D., Töyräs, J., & Sullivan, C. (2022) · Journal of Medical Internet Research · doi:10.2196/36690 · Cited by 171 · see citing works
Palacholla, R. S., Fischer, N., Coleman, A., Agboola, S., Kirley, K., Felsted, J., Katz, C., Lloyd, S., & Jethwani, K. (2019) · JMIR Cardio · doi:10.2196/11951 · Cited by 127 · see citing works
Moschonis, G., Siopis, G., Jung, J., Eweka, E., Willems, R., Kwasnicka, D., Asare, B. Y.-A., Kodithuwakku, V., Verhaeghe, N., Vedanthan, R., et al. (2023) · The Lancet Digital Health · doi:10.1016/s2589-7500(22)00233-3 · Cited by 149 · see citing works
Lu, X., Yang, H., Xia, X., Lu, X., Lin, J., Liu, F., & Gu, D. (2019) · Hypertension · doi:10.1161/hypertensionaha.119.13273 · Cited by 128 · see citing works
Mao, Y., Lin, W., Wen, J., & Chen, G. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-001225 · Cited by 108 · see citing works
Xiong, S., Berkhouse, H., Schooler, M., Pu, W., Sun, A., Gong, E., & Yan, L. L. (2018) · Current Hypertension Reports · doi:10.1007/s11906-018-0886-7 · Cited by 106 · see citing works
Powell, R. E., Zaccardi, F., Beebe, C., Chen, X. M., Crawford, A., Cuddeback, J., Gabbay, R. A., Kissela, L., Litchman, M. L., Mehta, R., et al. (2021) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.14455 · Cited by 99 · see citing works
Siopis, G., Moschonis, G., Eweka, E., Jung, J., Kwasnicka, D., Asare, B. Y.-A., Kodithuwakku, V., Willems, R., Verhaeghe, N., Annemans, L., et al. (2023) · The Lancet Digital Health · doi:10.1016/s2589-7500(23)00002-x · Cited by 87 · see citing works
Stevens, S., Gallagher, S., Andrews, T., Ashall-Payne, L., Humphreys, L., & Leigh, S. (2022) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2022.936752 · Cited by 84 · see citing works
Digital coaching strategies to facilitate behavioral change in type 2 diabetes: a systematic review
Gershkowitz, B. D., Hillert, C. J., & Crotty, B. H. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa850 · Cited by 67 · see citing works
Zhang, W., Cheng, B., Zhu, W., Huang, X., & Shen, C. (2021) · Telemedicine and e-Health · doi:10.1089/tmj.2020.0122 · Cited by 55 · see citing works
Noninvasive Continuous Monitoring of Vital Signs With Wearables: Fit for Medical Use?
Jacobsen, M., Dembek, T. A., Kobbe, G., Gaidzik, P. W., & Heinemann, L. (2021) · Journal of Diabetes Science and Technology · doi:10.1177/1932296820904947 · Cited by 49 · see citing works
Shrivastava, T. P., Goswami, S., Gupta, R., & Goyal, R. K. (2023) · Journal of Diabetes Science and Technology · doi:10.1177/19322968211060060 · Cited by 46 · see citing works
Tarricone, R., Petracca, F., Svae, L., Cucciniello, M., & Ciani, O. (2024) · eBioMedicine · doi:10.1016/j.ebiom.2024.105091 · Cited by 26 · see citing works
Luo, J., Zhang, K., Xu, Y., Tao, Y., & Zhang, Q. (2022) · Journal of Medical Systems · doi:10.1007/s10916-021-01797-6 · Cited by 21 · see citing works
The Best Digital Biomarkers Papers of 2017
Snyder, C. W., Dorsey, E. R., & Atreja, A. (2018) · Digital Biomarkers · doi:10.1159/000489224 · Cited by 19 · see citing works
The Role of Wearable Technologies and Telemonitoring in Managing Vascular Disease
Chan, C., Sounderajah, V., Acharya, A., Normahani, P., Bicknell, C., & Riga, C. (2020) · Vascular and Endovascular Review · doi:10.15420/ver.2019.11 · Cited by 6 · see citing works
- Authors
- Frias, J., Virdi, N., Raja, P., Kim, Y., Savage, G., & Osterberg, L.
- Affiliations
- Proteus Digital Health (US)
- Stanford Medicine (US)
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2017-07-11
- Volume
- 19
- Issue
- 7
- Pages
- e246
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC5527253
- OpenAlex
- W2735136142
- Cited by
- 211
- References
- 34
- Citations by year
- 2026: 13 · 2025: 20 · 2024: 19 · 2023: 30 · 2022: 26 · 2021: 24 · 2020: 34 · 2019: 24 · 2018: 16 · 2017: 5
- FWCI
- 32.78
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (submittedVersion, cc-by)
- PubMed Central (submittedVersion, cc-by)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Keywords
- digital medicine, ingestible sensors, mobile health apps, uncontrolled hypertension, type 2 diabetes, medication adherence, HbA1c, blood pressure control, dose titration, therapeutic inertia, patient engagement, LDL cholesterol, diabetes self-management education, digital health interventions, physical activity monitoring, sleep monitoring
- MeSH terms
- Diabetes Mellitus, Type 2, Female, Humans, Hypertension, Male, Middle Aged, Pilot Projects, Prospective Studies, Treatment Outcome, Telemedicine, Medication Adherence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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