Evidence map›Paper›PMID 33109154›Full record

ArticleBMC health services research2020

Assessing and coping with the financial burden of computed tomography utilization in Limbe, Cameroon: a sequential explanatory mixed-methods study.

Joshua Tambe, Lawrence Mbuagbaw, Pierre Ongolo-Zogo, Georges Nguefack-Tsague, Andrew Edjua, Victor Mbome-Njie, Jacqueline Ze Minkande

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2020. 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
0.2field-weighted citation impact, top 41% 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, 3 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.

Joshua TambePost-Graduate School for Life Sciences, Health and Environment, The University of Yaoundé I, Yaoundé, Cameroon. tambemd@gmail.com.ORCID http://orcid.org/0000-0001-7966-2637
Lawrence MbuagbawDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.
Pierre Ongolo-ZogoPost-Graduate School for Life Sciences, Health and Environment, The University of Yaoundé I, Yaoundé, Cameroon.
Georges Nguefack-TsagueDepartment of Public Health, Biostatistics unit, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon.
Andrew EdjuaHigher Technical Teacher's Training College Kumba, University of Buea, Buea, Cameroon.
Victor Mbome-NjieMinistry of Public Health, Yaoundé, Cameroon.
Jacqueline Ze MinkandePost-Graduate School for Life Sciences, Health and Environment, The University of Yaoundé I, Yaoundé, Cameroon.
Université de Yaoundé I · CMImpact · CAMinistry of Public Health · CMUniversity of Buea · CM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere has been a significant increase in computed tomography (CT) utilization over the past two decades with the major challenges being a high exposure to ionizing radiation and rising cost. In this study we assess the risk of financial hardship after CT utilization and elaborate on how users adapt and cope in a sub-Saharan context with user fee for services and no national health insurance policy.

methodsWe carried out a sequential explanatory mixed methods study with a quantitative hospital-based survey of CT users followed by in-depth interviews of some purposively selected participants who reported risk of financial hardship after CT utilization. Data was summarized using frequencies, percentages and 95% confidence intervals. Logistic regression was used in multivariable analysis to determine predictors of risk of financial hardship. Identified themes from in-depth interviews were categorized. Quantitative and qualitative findings were integrated.

resultsA total of 372 participants were surveyed with a male to female sex ratio of 1:1.2. The mean age (standard deviation) was 52(17) years. CT scans of the head and facial bones accounted for 63% (95%CI: 59-68%) and the top three indications were suspected stroke (27% [95%CI: 22-32%]), trauma (14% [95%CI: 10-18%]) and persistent headaches (14% [95%CI: 10-18%]). Seventy-two percent (95%CI: 67-76%) of the respondents reported being at risk of financial hardship after CT utilization and predictors in the multivariable analysis were a low socioeconomic status (aOR: 0.19 [95%CI: 0.10-0.38]; p < 0.001), being unemployed or retired (aOR: 11.75 [95%CI: 2.59-53.18]; p = 0.001) and not having any form of health insurance (aOR: 3.59 [95%CI: 1.31-9.85]; p = 0.013). Coping strategies included getting financial support from family and friends, borrowing money and obtaining discounts from the hospital administration and staff.

conclusionNo health insurance ownership, being unemployed or retired and a low socioeconomic status are associated with financial hardship after CT utilization. Diverse coping strategies are utilized to lessen the financial burden, some with negative consequences. Minimizing out-of-pocket payments and/or the direct cost of CT can reduce this financial burden and improve CT access.

Indexed as

Adaptation, PsychologicalCost of IllnessHealth ExpendituresAdultCameroonFemaleHumansIncomeInsurance, HealthInterviews as TopicMaleMiddle AgedQualitative ResearchSurveys and QuestionnairesTomography, X-Ray ComputedComputed tomography utilizationMixed-methodsRisk of financial hardship

Identifiers

PMID33109154
PMCPMC7590681
OpenAlexW3095415838

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.