Cited by 4Blood Pressure and Hypertension StudiesObesity and Health PracticesHealth Promotion and Cardiovascular Prevention

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Group Medical Visits for Addressing Weight and Blood Pressure in an Underserved Population

Open access

Abstract

The effect of group medical visits (GMV) compared to individual medical visits (IMV), on weight and blood pressure in a large primary care practice serving a predominantly underserved population, was assessed. The records of 304 patients attending a weight-loss program were analyzed using mixed-effects regression models. Patients in GMV lost an average of 11.63 lbs, whereas patients in IMV lost an average of 3.99 lbs (p < 0.001). A total of 55% of patients lost ≥7% in GMV compared to 11% of patients in IMV (p ≤ 0.001). Individuals who lost >5% of their baseline weight had a higher reduction in overall blood pressure. For systolic and diastolic blood pressure, the differences between baseline and three months for GMV and IMV were −7.4 vs. 4.1 mm of Hg (p = 0.002) and −4.6 vs. 4.2 mm of Hg (p = 0.003), respectively. Results from this study demonstrate that GMV may be a potentially useful modality for addressing weight and blood pressure in an underserved population.

Overview

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 · 10.3390/medicines9120060

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

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?

Self-check

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

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

Citations

Cites

Flagged first, then by citations

Show all 1 references

Research works printed but not linked: 22

  1. Bentley, 2018, Recent origin and evolution of obesity-income correlation across the United States, Palgrave Commun., 4, 146, 10.1057/s41599-018-0201-x · DOI
  2. Calzada, 2009, The obesity epidemic: Are minority individuals equally affected?, Prim. Care, 36, 307, 10.1016/j.pop.2009.01.007 · DOI
  3. Carrillo, 2011, Defining and targeting health care access barriers, J. Health Care Poor Underserved., 22, 562, 10.1353/hpu.2011.0037 · DOI · Paper page
  4. Caballero, 2015, Shared medical appointments: An innovative approach to patient care, Nurse Pract., 40, 1, 10.1097/01.NPR.0000470357.85590.46 · DOI
  5. Reitz, 2012, The effects of a group visit program on outcomes of diabetes care in an urban family practice, J. Urban Health Bull. N. Y. Acad. Med., 89, 709
  6. Wing, 1999, Benefits of recruiting participants with friends and increasing social support for weight loss and maintenance, J. Consult. Clin. Psychol., 67, 132, 10.1037/0022-006X.67.1.132 · DOI · Paper page
  7. King, 1984, Low-Cost Strategies for Increasing Exercise Behavior: Relapse Preparation Training and Social Support, Behav. Modif., 8, 3, 10.1177/01454455840081001 · DOI
  8. Black, 1990, A meta-analytic evaluation of couples weight-loss programs, Health Psychol., 9, 330, 10.1037/0278-6133.9.3.330 · DOI
  9. Brumley, 2016, Gestational Weight Gain and Breastfeeding Outcomes in Group Prenatal Care, J. Midwifery Women’s Health, 61, 557, 10.1111/jmwh.12484 · DOI
  10. Taylor, 2018, The role of group cohesion in a group-based behavioral weight loss intervention, J. Behav. Med., 42, 162, 10.1007/s10865-018-9953-4 · DOI
  11. Guthrie, 2015, Impact of a Shared Medical Appointment Lifestyle Intervention on Weight and Lipid Parameters in Individuals with Type 2 Diabetes: A Clinical Pilot, J. Am. Coll. Nutr., 34, 300, 10.1080/07315724.2014.933454 · DOI
  12. Sorkin, 2014, Dyadic collaboration in shared health behavior change: The effects of a randomized trial to test a lifestyle intervention for high-risk Latinas, Health Psychol., 33, 566, 10.1037/hea0000063 · DOI
  13. Crowley, 2017, Jump starting shared medical appointments for diabetes with weight management: Rationale and design of a randomized controlled trial, Contemp. Clin. Trials, 58, 1, 10.1016/j.cct.2017.04.004 · DOI
  14. Papadakis, 2021, Shared Medical Appointments and Prediabetes: The Power of the Group, Ann. Fam. Med., 19, 258, 10.1370/afm.2647 · DOI
  15. Heisler, 2021, Evaluating the Effectiveness of Diabetes Shared Medical Appointments (SMAs) as Implemented in Five Veterans Affairs Health Systems: A Multi-site Cluster Randomized Pragmatic Trial, J. Gen. Intern. Med., 36, 1648, 10.1007/s11606-020-06570-y · DOI
  16. Lavoie, J.G., Wong, S.T., Chongo, M., Browne, A.J., MacLeod, M.L.P., and Ulrich, C. (2013). Group medical visits can deliver on patient-centred care objectives: Results from a qualitative study. BMC Health Serv. Res., 13. · DOI
  17. Geller, 2011, Impact of a group medical visit program on Latino health-related quality of life, Explore, 7, 94, 10.1016/j.explore.2010.12.005 · DOI
  18. McCuistion, 2013, Overcoming Challenges to Adoption of Shared Medical Appointments, Popul. Health Manag., 17, 100, 10.1089/pop.2013.0035 · DOI
  19. Greer, 2011, Implementing an evidence-based metabolic syndrome prevention and treatment program utilizing group visits, J. Am. Acad. Nurse Pract., 23, 76, 10.1111/j.1745-7599.2010.00585.x · DOI
  20. Patel, 2021, Successful Use of Virtual Shared Medical Appointments for a Lifestyle-Based Diabetes Reversal Program, Am. J. Lifestyle Med., 15, 506, 10.1177/15598276211008396 · DOI
  21. Hasegawa, 2019, Body Weight Reduction of 5% Improved Blood Pressure and Lipid Profiles in Obese Men and Blood Glucose in Obese Women: A Four-Year Follow-up Observational Study, Metab. Syndr. Relat. Disord., 17, 250, 10.1089/met.2018.0115 · DOI
  22. Trento, 2001, Group visits improve metabolic control in type 2 diabetes: A 2-year follow-up, Diabetes Care, 24, 995, 10.2337/diacare.24.6.995 · DOI

Cited by

Sorted by citations

See all 4

Metadata

Authors
Algotar, A., Trofymenko, S., Muramoto, M., Howerter, A., & Kutob, R.
Affiliations
University of Arizona (US)
Corresponding author
Trofymenko, Stephanie
Venue
Medicines
Publisher
MDPI AG
Published
2022-12-01
Volume
9
Issue
12
Pages
60
ISSN
2305-6320 (ISSN-L)
OpenAlex
W4311185631
Cited by
4
References
1
Citations by year
2025: 4
FWCI
0.70
Type
journal article
Language
en
Open access
Locations
  • Medicines (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
University of Arizona
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity and Health Practices
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
Keywords
group medical visits, weight loss, blood pressure reduction, underserved populations, primary care, slimming program, obesity, hypertension

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