Evidence map›Paper›PMID 41424267›Full record

ArticleGlobal health action2025

Determinants, barriers, and facilitators of healthcare access for patients with hypertension in rural Ghana: applying the Andersen-Newman model of healthcare utilization.

Solomon Nyame, Daniel Boateng, Keziah Opoku Marfo, Abdulaziz Mohammed Hussen, John Amoah, Kwame Adjei, Joyce Gyamfi, Martin Heine, Engelbert A Nonterah, Diederick E Grobbee and 3 more

Abstract read
In one paragraph

Article in Global health action, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Solomon NyameKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Ghana.ORCID 0000-0003-0419-7237
Daniel BoatengJulius Global Health, Department of Global Public Health and Bioethics, Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0001-7568-7298
Keziah Opoku MarfoKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Ghana.ORCID 0000-0002-3498-2140
Abdulaziz Mohammed HussenJulius Global Health, Department of Global Public Health and Bioethics, Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0003-1609-8498
John AmoahKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Ghana.ORCID 0000-0002-1576-2206
Kwame AdjeiKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Ghana.ORCID 0000-0001-6972-5200
Joyce GyamfiDepartment of Population Health, New York University School of Medicine, Center for Healthful Behavior Change, New York, NY, USA.ORCID 0000-0001-5037-0833
Martin HeineJulius Global Health, Department of Global Public Health and Bioethics, Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0003-4131-2863
Engelbert A NonterahJulius Global Health, Department of Global Public Health and Bioethics, Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0001-8491-6478
Diederick E GrobbeeJulius Global Health, Department of Global Public Health and Bioethics, Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0003-4472-4468
Olugbenga OgedegbeDepartment of Population Health, New York University School of Medicine, Center for Healthful Behavior Change, New York, NY, USA.ORCID 0000-0002-3628-1751
Kerstin Klipstein-GrobuschJulius Global Health, Department of Global Public Health and Bioethics, Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-5462-9889
Kwaku Poku AsanteKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Ghana.ORCID 0000-0001-9158-351X

Funding

Uptake of Task-Shifting Strategy for Blood Pressure Control in Community Health Planning Services: A Mixed Method StudyU01HL138638 · NHLBI · KWAME NKRUMAH UNIVERSITY/SCIENCE/TECH · PI ASANTE, KWAKU POKU, OGEDEGBE, OLUGBENGA G. · 2017 to 2021
$2.5M
NHLBI NIH HHS U01 HL138638
6 · The paper itself

Abstract

backgroundHypertension is a major risk factor for cardiovascular diseasemorbidity and mortality, affecting 25% of adults in Ghana. Access to adequate care is critical for effective hypertension management.

objectiveEvaluate healthcare utilisation among patients with hypertension and identify determinants.

methodsGuided by the Andersen and Newman model, we examined predisposing, enabling, and need factors affecting HCU. Data were collected from 600 patients with hypertension, 19 in-depth interviews with health workers, and six focus group discussions with patients. Logistic regression was used for quantitative analysis, while qualitative data were analyzed thematically.

resultsIn all, 73% of patients with hypertension used health care. Key predisposing factors included age 70+ years (adjusted odds ratio [aOR]: 1.97, 95% CI: 1.06-3.69) and being female (aOR: 2.32, 95% CI: 1.53-3.54). Enabling factors included health insurance (aOR: 4.07, 95% CI: 2.04-8.20), closer proximity to referral facilities (aOR: 2.28, 95% CI: 1.44-3.65), and care at district hospitals (aOR: 3.37, 95% CI: 1.94-6.03). Need factors were not associated with HCU. Barriers included financial difficulties, reliance on alternative medicines, poor health-seeking behavior, delays, erratic medication supplies, and health insurance limitations.

conclusionsThis study finds high healthcare use (73%) among rural Ghanaian hypertension patients, mainly driven by demographic and structural factors. It highlights ongoing inequalities, especially among men. Interventions should focus on addressing gender issues, enhancing access to insurance, and strengthening district hospital services. Future research should evaluate the quality and consistency of hypertension care to improve health outcomes.

Indexed as

Health Services AccessibilityHypertensionPatient Acceptance of Health CareAdultAgedFemaleFocus GroupsGhanaHumansInterviews as TopicMaleMiddle AgedQualitative ResearchRural PopulationSex FactorsSocioeconomic FactorsdeterminantsGhanaHealthcare usehypertensionmixed methodsQuality of Care for Chronic Conditions

Identifiers

PMID41424267
PMCPMC12724238

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.