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Effectiveness of a patient-centered medical home model of primary care versus standard care on blood pressure outcomes among hypertensive patients

Abstract

Patients with hypertension and other comorbidities have complex health care needs that are challenging to manage in primary care. However, there is strong evidence suggesting that patient-centered approaches in primary care are effective in managing complex multimorbidity. We aim to evaluate the effectiveness of a patient-centered medical home model called ‘WellNet’ versus that of standard care on blood pressure (BP) outcomes among hypertensive patients. We used a cohort study design with a comparison group and case-series design to assess the ‘between-group’ and ‘within-group’ effectiveness of the WellNet program delivered across six general practices in Sydney, Australia. The treatment group included 447 eligible patients who provided consent and who received general practitioner-led care with the integration of care coordinators. The comparison group included 5237 matched patients receiving usual care at four geographically comparable general practices. To assess changes over time, paired, and independent samples t-tests were used to determine significant differences. In addition, analysis of covariance (ANCOVA) was used to identify any significant differences after adjusting for potential covariates. The adjusted model showed significant reductions in systolic BP (−3.4 mmHg; 95% CI −5.1, −1.7; p value < 0.001) in the treatment group at follow-up. However, no significant mean change was observed in diastolic BP. The proportion of patients within the recommended range was found to be significantly higher in the treatment group than in the comparison group (13.6% versus 6.4%). WellNet patients experienced statistically significant and clinically meaningful improvement in BP during the follow-up. The findings of this study may be beneficial to both patients and providers in terms of improved health outcomes and delivery of care, respectively.

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References

  1. Forouzanfar MH, Afshin A, Alexander LT, Anderson HR, Bhutta ZA, Biryukov S, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388:1659–724.

    Google Scholar 

  2. Naghavi M, Abajobir AA, Abbafati C, Abbas KM, Abd-Allah F, Abera SF, et al. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390:1151–210.

    Google Scholar 

  3. National Heart Foundation of Australia. Guideline for the diagnosis and management of hypertension in adults. https://www.heartfoundation.org.au/images/uploads/publications/PRO-167_Hypertension-guideline-2016_WEB.pdf. Accessed 14 June 2019.

  4. Australian Institute of Health and Welfare. Australia’s health 2018. https://www.aihw.gov.au/getmedia/fe037cf1-0cd0-4663-a8c0-67cd09b1f30c/aihw-aus-222.pdf.aspx?inline=true. Accessed 16 June 2019.

  5. Mills KT, Bundy JD, Kelly TN, Reed JE, Kearney PM, Reynolds K, et al. Global disparities of hypertension prevalence and control: a systematic analysis of population-based studies from 90 countries. Circulation. 2016;134:441–50.

    PubMed  PubMed Central  Google Scholar 

  6. Gansevoort RT, Correa-Rotter R, Hemmelgarn BR, Jafar TH, Heerspink HJ, Mann JF, et al. Chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention. Lancet. 2013;382:339–52.

    PubMed  Google Scholar 

  7. Australian Institute of Health and Welfare. Health-care expenditure on cardiovascular diseases 2008–09. https://www.aihw.gov.au/getmedia/5dc2bc3b-1d93-4cb2-a74b-d61867ad7ae2/16689.pdf.aspx?inline=true Accessed 26 June 2019.

  8. Hird TR, Zomer E, Owen AJ, Magliano DJ, Liew D, Ademi Z. Productivity burden of hypertension in australia: a life table modeling study. Hypertension. 2019;73:777–84.

    CAS  PubMed  Google Scholar 

  9. Britt H, Miller GC, Henderson J, Charles J, Valenti L, Harrison C, et al. General practice activity in Australia 2015–16. General practice series no. 40; 2016. Sydney University Press. http://sydney.edu.au/medicine/fmrc/publications/Feature_Care%20of%20middle-aged%20people%20in%20general%20practice.pdf. Accessed 26 June 2019.

  10. Lopez VA, Franklin SS, Tang S, Wong ND. Coronary heart disease events preventable by control of blood pressure and lipids in US adults with hypertension. J Clin Hypertens. 2007;9:436–43.

    Google Scholar 

  11. Dickinson HO, Mason JM, Nicolson DJ, Campbell F, Beyer FR, Cook JV, et al. Lifestyle interventions to reduce raised blood pressure: a systematic review of randomized controlled trials. J Hypertens. 2006;24:215–33.

    CAS  PubMed  Google Scholar 

  12. Svetkey L, Erlinger TP, Vollmer WM, Feldstein A, Cooper LS, Appel LJ, et al. Effect of lifestyle modifications on blood pressure by race, sex, hypertension status, and age. J Hum Hypertens. 2005;19:21–31.

    CAS  PubMed  Google Scholar 

  13. Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380:37–43.

    PubMed  Google Scholar 

  14. Mirzaei M, Aspin C, Essue B, Jeon YH, Dugdale P, Usherwood T, et al. A patient-centred approach to health service delivery: improving health outcomes for people with chronic illness. BMC Health Serv Res. 2013;13:251.

    PubMed  PubMed Central  Google Scholar 

  15. Kuhmmer R, Lazzaretti RK, Guterres CM, Raimundo FV, Leite LE, Delabary TS, et al. Effectiveness of multidisciplinary intervention on blood pressure control in primary health care: a randomized clinical trial. BMC Health Serv Res. 2016;16:456.

    PubMed  PubMed Central  Google Scholar 

  16. Coventry P, Lovell K, Dickens C, Bower P, Chew-Graham C, McElvenny D, et al. Integrated primary care for patients with mental and physical multimorbidity: cluster randomised controlled trial of collaborative care for patients with depression comorbid with diabetes or cardiovascular disease. BMJ. 2015;350:h638.

    PubMed  PubMed Central  Google Scholar 

  17. Proia KK, Thota AB, Njie GJ, Finnie RK, Hopkins DP, Mukhtar Q, et al. Team-based care and improved blood pressure control: a community guide systematic review. Am J Prev Med. 2014;47:86–99.

    PubMed  PubMed Central  Google Scholar 

  18. Carter BL, Rogers M, Daly J, Zheng S, James PA. The potency of team-based care interventions for hypertension: a meta-analysis. Arch Intern Med. 2009;169:1748–55.

    PubMed  PubMed Central  Google Scholar 

  19. Akpolat T, Arici M, Sengul S, Derici U, Ulusoy S, Erturk S, et al. Home sphygmomanometers can help in the control of blood pressure: a nationwide field survey. Hypertens Res. 2018;41:460–8.

    PubMed  PubMed Central  Google Scholar 

  20. Peikes D, Chen A, Schore J, Brown R. Effects of care coordination on hospitalization, quality of care, and health care expenditures among medicare beneficiaries: 15 randomized trials. JAMA. 2009;301:603–18.

    CAS  PubMed  Google Scholar 

  21. Maeng DD, Graf TR, Davis DE, Tomcavage J, Bloom JrFJ. Can a patient-centered medical home lead to better patient outcomes? The quality implications of Geisinger’s ProvenHealth Navigator. Am J Med Qual. 2012;27:210–6.

    PubMed  Google Scholar 

  22. Australian Medical Association. AMA position statement on the medical home; 2015. https://ama.com.au/position-statement/ama-position-statement-medical-home. Accessed 3 July 2019.

  23. Bodenheimer T, Ghorob A, Willard-Grace R, Grumbach K. The 10 building blocks of high-performing primary care. Ann Fam Med. 2014;12:166–71.

    PubMed  PubMed Central  Google Scholar 

  24. Zillich AJ, Jaynes HA, Bex SD, Boldt AS, Walston CM, Ramsey DC, et al. Evaluation of pharmacist care for hypertension in the Veterans Affairs patient-centered medical home: a retrospective case-control study. Am J Med. 2015;128:531–9.

    Google Scholar 

  25. Almalki ZS, Alotaibi AA, Alzaidi WS, Alghamdi AA, Bahowirth AM, Alsalamah NM, et al. Economic benefits of implementing patient-centered medical home among patients with hypertension. Clinicoecon Outcomes Res. 2018;10:665–73.

    PubMed  PubMed Central  Google Scholar 

  26. Pourat N, Chen X, Lee C, Zhou W, Daniel M, Hoang H, et al. Assessing the impact of patient-centered medical home principles on hypertension outcomes among patients of HRSA-Funded Health Centers. Am J Hypertens. 2018;32:418–25.

    Google Scholar 

  27. John JR, Jones A, Neville AM, Ghassempour S, Girosi F, Tannous WK. Cohort Profile: Effectiveness of a 12-Month Patient-Centred Medical Home Model versus standard care for chronic disease management among primary care patients in Sydney, Australia. Int J Environ Res Public Health. 2020;17:2164–85.

    PubMed Central  Google Scholar 

  28. Lacus SM, King G, Porro G. Causal inference without balance checking: coarsened exact matching. Polit Anal. 2012;20:1–24.

    Google Scholar 

  29. Chodosh J, Morton SC, Mojica W, Maglione M, Suttorp MJ, Hilton L, et al. Meta-analysis: chronic disease self-management programs for older adults. Ann Intern Med. 2005;143:427–38.

    PubMed  Google Scholar 

  30. Wickramasinghe LK, Schattner P, Hibbert ME, Enticott JC, Georgeff MP, Russell GM. Impact on diabetes management of general practice management plans, team care arrangements and reviews. Med J Austr. 2013;199:261–5.

    Google Scholar 

  31. Gwadry-Sridhar FH, Manias E, Lal L, Salas M, Hughes DA, Ratzki-Leewing A, et al. Impact of interventions on medication adherence and blood pressure control in patients with essential hypertension: a systematic review by the ISPOR medication adherence and persistence special interest group. Value Health. 2013;16:863–71.

    PubMed  Google Scholar 

  32. Xie X, Atkins E, Lv J, Bennett A, Neal B, Ninomiya T, et al. Effects of intensive blood pressure lowering on cardiovascular and renal outcomes: updated systematic review and meta-analysis. Lancet. 2016;387:435–43.

    PubMed  Google Scholar 

  33. Bai G, Zhang J, Zhao C, Wang Y, Qi Y, Zhang B. Adherence to a healthy lifestyle and a DASH-style diet and risk of hypertension in Chinese individuals. Hypertens Res. 2017;40:196–202.

    PubMed  Google Scholar 

  34. Ndanuko RN, Tapsell LC, Charlton KE, Neale EP, Batterham MJ. Dietary patterns and blood pressure in adults: a systematic review and meta-analysis of randomized controlled trials. Adv Nutr. 2016;7:76–89.

    CAS  PubMed  PubMed Central  Google Scholar 

  35. Bibbins-Domingo K, Chertow GM, Coxson PG, Moran AE, Lightwood JM, Pletcher MJ, et al. Reductions in cardiovascular disease projected from modest reductions in dietary salt. NEJM. 2010;362:590.

    CAS  PubMed  Google Scholar 

  36. Lachman S, Boekholdt SM, Luben RN, Sharp SJ, Brage S, Khaw KT, et al. Impact of physical activity on the risk of cardiovascular disease in middle-aged and older adults: EPIC Norfolk prospective population study. Eur J Prev Cardiol. 2018;25:200–8.

    PubMed  Google Scholar 

  37. Impact of systolic and diastolic blood pressure on cardiovascular mortality. In: Neaton JD, Kuller L, Stamler J, Wentworth DN, editors. Hypertension: pathophysiology, diagnosis, and management. New York, NY: Raven Press; 1995. p. 127–44.

  38. Turnbull F. Effects of different blood-pressure-lowering regimens on major cardiovascular events: Results of prospectively-designed overviews of randomised trials. Lancet. 2003;362:1527.

    CAS  PubMed  Google Scholar 

  39. Tobari H, Arimoto T, Shimojo N, Yuhara K, Noda H, Yamagishi K, et al. Physician–pharmacist cooperation program for blood pressure control in patients with hypertension: a randomized-controlled trial. Am J Hypertens. 2010;23:1144–52.

    CAS  PubMed  Google Scholar 

  40. Roter DL, Hall JA, Merisca R, Nordstrom B, Cretin D, Svarstad B. Effectiveness of interventions to improve patient compliance: a meta-analysis. Med Care. 1998;36:1138–61.

    CAS  PubMed  Google Scholar 

  41. DiMatteo MR, Giordani PJ, Lepper HS, Croghan TW. Patient adherence and medical treatment outcomes a meta-analysis. Med Care. 2002;40:794–811.

    PubMed  Google Scholar 

  42. Berlowitz DR, Ash AS, Hickey EC, Friedman RH, Glickman M, Kader B, et al. Inadequate management of blood pressure in a hypertensive population. NEJM. 1998;339:1957–63.

    CAS  PubMed  Google Scholar 

  43. Hyman DJ, Pavlik VN. Characteristics of patients with uncontrolled hypertension in the United States. NEJM. 2001;345:479–86.

    CAS  PubMed  Google Scholar 

  44. Egan BM, Zhao Y, Axon RN, Brzezinski WA, Ferdinand KC. Uncontrolled and apparent treatment resistant hypertension in the United States, 1988 to 2008. Circulation. 2011;124:1046–58.

    PubMed  PubMed Central  Google Scholar 

  45. Burnier M, Egan BM. Adherence in hypertension: a review of prevalence, risk factors, impact, and management. Circ Res. 2019;124:1124–40.

    CAS  PubMed  Google Scholar 

  46. Duggirala MK, Cuddihy RM, Cuddihy MT, Naessens JM, Cha SS, Mandrekar JN, et al. Predictors of blood pressure control in patients with diabetes and hypertension seen in primary care clinics. Am J Hypertens. 2005;18:833–8.

    PubMed  Google Scholar 

  47. Bizien MD, Jue SG, Panning C, Cusack B, Peterson T. Blood pressure control and factors predicting control in a treatment‐compliant male veteran population. Pharmacotherapy. 2004;24:179–87.

    PubMed  Google Scholar 

  48. von Lueder TG, Krum H. RAAS inhibitors and cardiovascular protection in large scale trials. Cardiovasc Drug Ther. 2013;27:171–9.

    CAS  Google Scholar 

  49. Kjeldsen SE, Jamerson KA, Bakris GL, Pitt B, Dahlöf B, Velazquez EJ, et al. Predictors of blood pressure response to intensified and fixed combination treatment of hypertension: the ACCOMPLISH study. Blood Press. 2008;17:7–17.

    CAS  PubMed  Google Scholar 

  50. Canaway R, Boyle DI, Manski‐Nankervis JA, Bell J, Hocking JS, Clarke K, et al. Gathering data for decisions: best practice use of primary care electronic records for research. Med J Austr. 2019;210:S12–S16.

    Google Scholar 

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Acknowledgements

This paper uses unit record data from the WellNet Program in the North Sydney region. The WellNet Program was initiated and funded by the WellNet partners, SCS, North Sydney PHN, Bupa, HCF, NIB and Teacher’s Health. We would especially like to thank Sonic Clinical Services for collecting and sharing the patient data and providing insights into the development and delivery of WellNet. The WellNet partners had no control or influence over the decision to submit the final paper for publication. We are particularly grateful to the health care teams of the participating primary care practices for their high-quality work in data collection. We wish to thank Munro Neville, Shima Ghassempour, Federico Girosi and Evan Atlantis for input and feedback provided for this study.

Funding

JRJ’s PhD scholarship was provided by the Capital Markets Cooperative Research Centre (Now Rozetta Institute). The funders did not have any role in the design, methods, analysis, or preparation of this paper.

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Correspondence to James Rufus John.

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JRJ and KT have no competing interests. AJ is employed by SCS as the Operational Manager of Integrated Care and is responsible for the implementation of WellNet. However, SCS and WellNet partners had no control or influence over the decision to submit the final paper for publication.

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The study was reviewed by the Western Sydney University Human Research Ethics Committee (REDI Reference: H12215).

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Written informed consent was obtained from the study participants.

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John, J.R., Tannous, W.K. & Jones, A. Effectiveness of a patient-centered medical home model of primary care versus standard care on blood pressure outcomes among hypertensive patients. Hypertens Res 43, 892–902 (2020). https://doi.org/10.1038/s41440-020-0431-3

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