Evidence map›Paper›PMID 35259171›Full record

ArticlePloS one2022

Is lack of health insurance a predictor of worsening of heart failure among adult patients attending referral hospitals in Northwestern Tanzania?

Bahati M K Wajanga, Christine Yaeree Kim, Robert N Peck, John Bartlett, Deodatus Mabula, Adinan Juma, Charles Muiruri

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Bahati M K WajangaDepartment of Internal Medicine, Bugando Medical Centre, Mwanza, Tanzania.ORCID 0000-0002-1922-0746
Christine Yaeree KimDepartment of Population Health Sciences, Duke University, Durham, NC, United States of America.
Robert N PeckDepartment of Internal Medicine, Bugando Medical Centre, Mwanza, Tanzania.
John BartlettDuke Global Health Institute, Durham, NC, United States of America.
Deodatus MabulaDepartment of Internal Medicine, Bugando Medical Centre, Mwanza, Tanzania.
Adinan JumaKilimanjaro Christian Medical University College, Moshi, Tanzania.
Charles MuiruriDuke Global Health Institute, Durham, NC, United States of America.
Duke University · USCatholic University of Health and Allied Sciences · TZCornell University · USKilimanjaro Christian Medical Centre · TZ

Funding

Strengthening of Research Capacity for Junior Faculty in TanzaniaD43TW010138 · FIC · KILIMANJARO CHRISTIAN MEDICAL COLLEGE · PI MTETA, ALFRED KIEN · 2015 to 2020
$3.2M
Addressing barriers to anti-hypertensive medication adherence among persons living who have achieved viral suppressionK01HL159052 · NHLBI · DUKE UNIVERSITY · PI MUIRURI, CHARLES · 2021 to 2025
$736k
FIC NIH HHS D43 TW010138NHLBI NIH HHS K01 HL159052
6 · The paper itself

Abstract

introductionHealth insurance coverage is critical for persons living with chronic conditions such as heart failure. Lack of health insurance may affect the ability to access regular healthcare appointments, pay for medication refills which can result in frequent hospitalization that is associated with poor clinical outcomes. In scarce resource locations such as sub-Saharan Africa, where uptake of health insurance is still suboptimal, the effect of health insurance on chronic conditions such as heart failure is poorly understood. The objective of this study was to assess the association of health insurance on the severity of heart failure for patients attending outpatient clinics at tertiary hospitals in Mwanza, Tanzania.

methodsAs part of a larger cohort study, patients with heart failure were recruited from Bugando Medical Center (BMC) and Sekou Toure Regional Hospital (STRH) in Mwanza City, Tanzania. Heart failure was based on Framingham criteria and the severity was determined by New York Heart Association (NYHA) classification. Descriptive analysis and multivariable logistic regression were used to describe the study participants and to assess the association between health insurance status and the severity of heart failure at baseline.

results418 patients were enrolled, and majority were female (n = 264, 63%), small scale farmers (n = 278, 66.5%) and were from Mwanza City (n = 299, 71.5%). More than two-thirds of patients did not have health insurance (n = 295, 70.6%) and the majority were in the NYHA I and II classification (n = 267, 64.7%). There was no association between health insurance status and the severity of heart (aOR 0.97; 95% CI 0.84-1.60). Being male, small-scale businessperson and those seen at STRH was associated with higher odds of being in NYHA Class III/IV (aOR = 1.97; 95% CI: 1.21-3.17), (aOR = 2.61; 95% CI: 1.27-5.34) and (aOR 1.91 95% CI: 1.17-3.13) respectively. Having secondary and college education was associated with lower odds of being in Class III/IV (0.42; 95% CI: 0.18-0.98) and (aOR = 0.23 95% CI: 0.06-0.86) respectively.

conclusionIn this study, only a third of the patients had health insurance. Health insurance was not associated with the severity of heart failure. Since heart failure is a chronic condition patients who do not have health insurance may incur out of pocket expenses, future research should focus on the effect of out-of-pocket expenditures on clinical outcomes.

Indexed as

Heart FailureAdultCohort StudiesFemaleHospitalsHumansInsurance, HealthMaleReferral and ConsultationTanzania

Identifiers

PMID35259171
PMCPMC8903262
OpenAlexW4220885941

What OpenQuestion holds

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LicenceCC0
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Registered trials

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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.