Longitudinal evidence on treatment discontinuation, adherence, and loss of hypertension control in four middle-income countries

Author:

Mauer Nicole12ORCID,Geldsetzer Pascal34ORCID,Manne-Goehler Jennifer56ORCID,Davies Justine I.67ORCID,Stokes Andrew C.8ORCID,McConnell Margaret9ORCID,Ali Mohammed K.1011ORCID,Winkler Volker1ORCID,Sudharsanan Nikkil112ORCID

Affiliation:

1. Heidelberg Institute of Global Health, Faculty of Medicine, Heidelberg University, 69120 Heidelberg, Germany.

2. European Observatory on Health Systems and Policies, 1060 Brussels, Belgium.

3. Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA 94305, USA.

4. Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.

5. Division of Infectious Diseases, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA.

6. MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of Witwatersrand, 2193 Johannesburg, South Africa.

7. Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK.

8. Center for Global Health and Development, Boston University, Boston, MA 02118, USA.

9. Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA.

10. Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30329, USA.

11. Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA.

12. Professorship of Behavioral Science for Disease Prevention and Health Care, Technical University of Munich, 80992 Munich, Germany.

Abstract

Managing hypertension is a highly dynamic process, yet current evidence on hypertension control in middle-income countries (MICs) is largely based on cross-sectional data. Using multiple waves of population-based cohort data from four MICs (China, Indonesia, Mexico, and South Africa), we undertook a longitudinal investigation into how individuals with hypertension move through care over time. We classified adults aged 40 years and over ( N = 8527) into care stages at both baseline and follow-up waves and estimated the probability of transitioning between stages using Poisson regression models. Over a 5- to 9-year follow-up period, only around 30% of undiagnosed individuals became diagnosed [Mexico, 27% (95% confidence interval: 23%, 31%); China, 30% (26%, 33%); Indonesia, 30% (28%, 32%); and South Africa, 36% (31%, 41%)], and one in four untreated individuals became treated [Indonesia, 11% (10%, 12%); Mexico, 24% (20%, 28%); China, 26% (23%, 29%); and South Africa, 33% (29%, 38%)]. The probability of reaching blood pressure (BP) control was lower [Indonesia, 2% (1%, 2%); China, 9% (7%, 11%); Mexico, 12% (9%, 14%); and South Africa, 24% (20%, 28%)] regardless of treatment status. A substantial proportion of individuals discontinued treatment [Indonesia, 70% (67%, 73%); China, 36% (32%, 40%); Mexico, 34% (29%, 39%); and South Africa, 20% (15%, 25%)], and most individuals lost BP control by follow-up [Indonesia, 92% (89%, 96%); Mexico, 77% (71%, 83%); China, 76% (69%, 83%); and South Africa 45% (36%, 54%)]. Our results highlight that policies solely aimed at improving diagnosis or initiating treatment may not lead to long-term hypertension control improvements in MICs.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

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