Cited by 17Blood Pressure and Hypertension StudiesMedication Adherence and ComplianceSodium Intake and Health

Effect of Home Medication Titration on Blood Pressure Control in Patients With Hypertension: A Meta-Analysis of Randomized Controlled Trials

Open access
Chen, Ting-Yu, Kao, Chi-Wen, Cheng, Shu-Meng, Chang, Yue-Cune·2019·Medical Care

Abstract

Background: Medication titration has been used in home blood pressure (BP) control, with the expectation of enabling patients with hypertension to better manage their BP. Objective: The study goal was to estimate the effects of medication titration intervention in lowering the systolic blood pressure and diastolic blood pressure of patients with hypertension. Methods: The meta-analysis included randomized controlled trials on adults diagnosed with hypertension and BP≧130/80 mm Hg, having a medication-titration intervention, and using a home BP measurement. We systematically searched PubMed, CINAHL, Ovid-Medline, and the Cochrane Library, for studies published from 1997 to 2017. The quality of the studies was evaluated by the Modified Jadad scale. Statistical heterogeneity among the trials was evaluated using Q statistics and I 2. Publication bias was assessed with the funnel plot and Rosenthal’s fail-safe N. Results: The meta-analysis included 4 studies randomizing 1335 participants. Medication-titration intervention significantly assisted hypertensive patients to improve BP control; systolic blood pressure was reduced by 6.86 mm Hg [95% confidence interval (CI), 4.80-8.93, P<0.0001] and diastolic blood pressure by 3.03 mm Hg (95% CI, 2.07-3.99, P<0.0001), did not significantly affect EQ-5D scores (mean difference, 0.02; 95% CI, −0.01 to 0.04, P=0.13). Conclusions: Our findings suggest home medication titration of antihypertensive medication for hypertensive patients significantly improved home BP control. However, the strategy did not enhance quality of life in patients with hypertension.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/mlr.0000000000001064

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In 2014, a study randomizing patients with untreated hypertension to management based on clinic and ABPM measurement or HBPM alone showed no significant difference between groups in LVMI regression after 1 year.

    “In 2014, a study, which randomized patients with untreated hypertension to management based on clinic and ABPM measurement or HBPM alone showed that after 1 year, there was no significant difference between groups in LVMI regression. [160,161]”

    From Home blood pressure monitoring: methodology, clinical relevance and practical application: a 2021 position paper by the Working Group on Blood Pressure Monitoring and Cardiovascular Variability of the European Society of Hypertension (2021) · cites this paper as [160]

    The Results (Characteristics of Included Trials and Effect on BP Control; page not provided) describe a meta-analysis of medication-titration trials and report blood-pressure outcomes, not LVMI regression. The Discussion and References mention home monitoring, but searches for LVMI regression and ambulatory monitoring found no account of the claimed 2014 comparison or its one-year outcome. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 39

  1. [1]Lim SS Vos T Flaxman AD A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012; 380: 2224– 2260. 23245609 PMC4156511
  2. [2]Chow CK Teo KK Rangarajan S Prevalence, awareness, treatment, and control of hypertension in rural and urban communities in high-, middle-, and low-income countries. JAMA. 2013; 310: 959– 968. 24002282
  3. [3]Go AS Mozaffarian D Roger VL Heart disease and stroke statistics--2014 update: a report from the American Heart Association. Circulation. 2014; 129: e28– e292. 24352519 PMC5408159
  4. [4]Leung AA Nerenberg K Daskalopoulou SS Hypertension Canada’s 2016 Canadian Hypertension Education Program Guidelines for Blood Pressure Measurement, Diagnosis, Assessment of Risk, Prevention, and Treatment of Hypertension. Can J Cardiol. 2016; 32: 569– 588. 27118291
  5. [6]Kearney PM Whelton M Reynolds K Global burden of hypertension: analysis of worldwide data. Lancet. 2005; 365: 217– 223. 15652604
  6. [7]Ogden LG He J Lydick E Long-term absolute benefit of lowering blood pressure in hypertensive patients according to the JNC VI risk stratification. Hypertension. 2000; 35: 539– 543. 10679494
  7. [8]Saleem F Hassali MA Shafie AA A cross-sectional assessment of health-related quality of life (HRQoL) among hypertensive patients in Pakistan. Health Expect. 2014; 17: 388– 395. 22390260 PMC5060735
  8. [9]Zhang Y Zhou Z Gao J Health-related quality of life and its influencing factors for patients with hypertension: evidence from the urban and rural areas of Shaanxi Province, China. BMC Health Serv Res. 2016; 16: 277. 27430314 PMC4950775
  9. [10]Pickering TG Miller NH Ogedegbe G Call to action on use and reimbursement for home blood pressure monitoring: Executive Summary. A joint scientific statement from the American Heart Association, American Society of Hypertension, and Preventive Cardiovascular Nurses Association. J Clin Hypertens (Greenwich). 2008; 10: 467– 476. 18550937 PMC8109940
  10. [11]Uhlig K Patel K Ip S Self-measured blood pressure monitoring in the management of hypertension: a systematic review and meta-analysis. Ann Intern Med. 2013; 159: 185– 194. 23922064
  11. [12]Zarnke KB Feagan BG Mahon JL A randomized study comparing a patient-directed hypertension management strategy with usual office-based care. Am J Hypertens. 1997; 10: 58– 67. 9008249
  12. [13]Powell H Gibson PG Options for self-management education for adults with asthma. Cochrane Database Syst Rev. 2003; 1: CD004107. PMC8406716 12535511
  13. [15]Levi M Self-management of anticoagulation. Expert Rev Cardiovasc Ther. 2008; 6: 979– 985. 18666848
  14. [16]McManus RJ Mant J Haque MS Effect of self-monitoring and medication self-titration on systolic blood pressure in hypertensive patients at high risk of cardiovascular disease: the TASMIN-SR randomized clinical trial. JAMA. 2014; 312: 799– 808. 25157723
  15. [18]Margolius D Bodenheimer T Bennett H Health coaching to improve hypertension treatment in a low-income, minority population. Ann Fam Med. 2012; 10: 199– 205. 22585883 PMC3354968
  16. [19]McManus RJ Mant J Bray EP Telemonitoring and self-management in the control of hypertension (TASMINH2): a randomised controlled trial. Lancet. 2010; 376: 163– 172. 20619448
  17. [20]Tobe SW Pylypchuk G Wentworthet J Effect of nurse-directed hypertension treatment among First Nations people with existing hypertension and diabetes mellitus: the Diabetes Risk Evaluation and Microalbuminuria (DREAM3) randomized controlled trial. CMAJ. 2006; 174: 1267– 1271. 16595786 PMC1435956
  18. [21]Knight EL Bohn RL Wang PS Predictors of uncontrolled hypertension in ambulatory patients. Hypertension. 2001; 38: 809– 814. 11641291
  19. [23]Oremus M Wolfson C Perrault A Interrater reliability of the modified Jadad quality scale for systematic reviews of Alzheimer’s disease drug trials. Dement Geriatr Cogn Disord. 2001; 12: 232– 236. 11244218
  20. [24]Higgins JP Thompson SG Deeks JJ Measuring inconsistency in meta-analyses. BMJ. 2003; 327: 557– 560. 12958120 PMC192859
  21. [26]Littell JH Corcoran J Pillai V Systematic Reviews and Meta-analysis. New York: Oxford University Press; 2008.
  22. [28]Grant RW Pandiscio JC Pajolek H Implementation of a web-based tool for patient medication self-management: the Medication Self-titration Evaluation Programme (Med-STEP) for blood pressure control. Inform Prim Care. 2012; 20: 57– 67. 23336836 PMC3829638
  23. [29]Taylor D van der Merwe V van der Merwe W Nurse titration clinics to achieve rapid control of blood pressure. N Z Med J. 2012; 125: 31– 40. 22722213
  24. [30]Kravetz JD Walsh RF Team-based hypertension management to improve blood pressure control. J Prim Care Community Health. 2016; 7: 272– 275. 27106631 PMC5932700
  25. [31]O’Brien C Bray EP Bryan S Targets and self-management for the control of blood pressure in stroke and at risk groups (TASMIN-SR): protocol for a randomised controlled trial. BMC Cardiovasc Disord [serial online]. 2013;13:21. Available at: BioMed Central. Accessed January 15, 2017. PMC3623796 23522245
  26. [32]McManus RJ Bray EP Mant J Protocol for a randomised controlled trial of telemonitoring and self-management in the control of hypertension: telemonitoring and self-management in hypertension. BMC Cardiovasc Disord [serial online]. 2009;9:6. Available at: BioMed Central. Accessed January 15, 2017. PMC2664788 19220913
  27. [33]Den Hond E Staessen JA Celis H Antihypertensive treatment based on home or office blood pressure--the THOP trial. Blood Press Monit. 2004; 9: 311– 314. 15564986
  28. [34]Bennett H Laird K Margolius D The effectiveness of health coaching, home blood pressure monitoring, and home-titration in controlling hypertension among low-income patients: protocol for a randomized controlled trial. BMC Public Health [serial online]. 2009;9:456. Available at: BioMed Central. Accessed January 15, 2017. PMC2797520 20003300
  29. [36]Watson AJ Singh K Myint-U K Evaluating a web-based self-management program for employees with hypertension and prehypertension: a randomized clinical trial. Am Heart J. 2012; 164: 625– 631. 23067923
  30. [37]Mehos BM Saseen JJ MacLaughlin EJ Effect of pharmacist intervention and initiation of home blood pressure monitoring in patients with uncontrolled hypertension. Pharmacotherapy. 2000; 2: 1384– 1389. 11079287
  31. [38]Hill JR Home blood pressure monitoring and self-titration of antihypertensive medications: proposed patient selection criteria. J Am Assoc Nurse Pract. 2016; 28: 277– 281. 26676279
  32. [39]Bosworth HB Crowley MJ Self-monitoring and self-titration of antihypertensive medication reduces systolic blood pressure compared with usual care. Evid Based Nurs. 2015; 18: 87. 25634011
  33. [40]Steurer J Arterial hypertension: blood pressure self-monitoring and self-titration of medications improves blood pressure readings. Praxis. 2014; 103: 1473– 1474. 25446687
  34. [41]Nilsson PM Nystrom FH Self-titration of antihypertensive therapy in high-risk patients: bringing it home. JAMA. 2014; 312: 795– 796. 25157721
  35. [42]Herrigel DJ Willett LR In hypertension with high CV risk, BP self-monitoring and medication self-titration reduced BP at 12 months. Ann Intern Med. 2015; 162: JC7. 25599367
  36. [43]Ogedegbe G Self-titration for treatment of uncomplicated hypertension. Lancet. 2010; 376: 144– 146. 20619449 PMC3905952
  37. [44]Fahey T Schroeder K Ebrahim S Educational and organisational interventions used to improve the management of hypertension in primary care: a systematic review. Br J Gen Pract. 2005; 55: 875– 882. 16282005 PMC1570766
  38. [46]Kokubo Y Prevention of hypertension and cardiovascular diseases: a comparison of lifestyle factors in Westerners and East Asians. Hypertension. 2014; 63: 655– 660. 24420548
  39. [47]Trevisol DJ Moreira LB Kerkhoff A Health-related quality of life and hypertension: a systematic review and meta-analysis of observational studies. J Hypertens. 2011; 29: 179– 188. 21045726

Cited by

Sorted by citations

Authors
Chen, T.-Y., Kao, C.-W., Cheng, S.-M., & Chang, Y.-C.
Affiliations
  • National Defense Medical Center (TW)
  • Tri-Service General Hospital (TW)
  • Tamkang University (TW)
Corresponding author
Chen, Ting-Yu
Venue
Medical Care
Published
2019-03
Volume
57
Issue
3
Pages
230-236
ISSN
0025-7079 (ISSN-L)
OpenAlex
W2914205739
Cited by
17
References
5
Citations by year
2026: 2 · 2025: 3 · 2024: 3 · 2023: 1 · 2022: 2 · 2021: 4 · 2020: 1 · 2019: 1
FWCI
0.36
Type
journal article
Language
en
Open access
Locations
  • Medical Care (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Tamkang University Institutional Repository (TKUIR) (submittedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
  • Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
  • Health Sciences › Nursing › Nutrition and Dietetics › Sodium Intake and Health
Keywords
hypertension, dose titration, home blood pressure monitoring, antihypertensive drugs, blood pressure control, systolic blood pressure, diastolic blood pressure, quality of life, EQ-5D
MeSH terms
Antihypertensive Agents, Blood Pressure, Home Care Services, Humans, Hypertension, Quality of Life, Self Care, Randomized Controlled Trials as Topic

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review