Evidence map›Paper›PMID 36818035›Full record

ArticleThe Pan African medical journal2023

Cost of illness of non-communicable diseases in private and public health facilities in Nigeria: a qualitative and quantitative approach.

Tope Michael Ipinnimo, Olusegun Elijah Elegbede, Kabir Adekunle Durowade, Kayode Rasaq Adewoye, Demilade Olusola Ibirongbe, Paul Oladapo Ajayi, Taofeek Adedayo Sanni, Odunayo Adebukola Temitope Fatunla, Motunrayo Temidayo Ipinnimo, Austine Idowu Ibikunle

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  7. Article
  8. Economic burden of psoriasis in Southern Iran in 2022.Archives of public health = Archives belges de sante publique · 2024
    Article
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

10 authors at 2 institutions in 1 country.

Tope Michael IpinnimoDepartment of Community Medicine, Federal Teaching Hospital, Ido-Ekiti, Nigeria.
Olusegun Elijah ElegbedeDepartment of Community Medicine, Federal Teaching Hospital, Ido-Ekiti, Nigeria.
Kabir Adekunle DurowadeDepartment of Community Medicine, Federal Teaching Hospital, Ido-Ekiti, Nigeria.
Kayode Rasaq AdewoyeDepartment of Community Medicine, Federal Teaching Hospital, Ido-Ekiti, Nigeria.
Demilade Olusola IbirongbeDepartment of Community Medicine, University of Medical Sciences (UNIMED) Ondo, Nigeria.
Paul Oladapo AjayiDepartment of Community Medicine, Ekiti State University, Ado-Ekiti, Nigeria.
Taofeek Adedayo SanniDepartment of Community Medicine, Federal Teaching Hospital, Ido-Ekiti, Nigeria.
Odunayo Adebukola Temitope FatunlaDepartment of Paediatrics, College of Medicine & Health Sciences, Afe Babalola University, Ado-Ekiti, Nigeria.
Motunrayo Temidayo IpinnimoNHIS Unit, Ekiti State University Teaching Hospital, Ado-Ekiti, Nigeria.
Austine Idowu IbikunleDepartment of Community Medicine, Federal Teaching Hospital, Ido-Ekiti, Nigeria.
Afe Babalola University · NGEkiti State University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: the cost of illness (COI) of non-communicable diseases (NCDs) has detrimental effects on healthcare outcomes in addition to the serious economic impact on patients and their families. This study estimated and compared the COI of NCDs and its predictors in private and public health facilities (HF) in Ado-Ekiti, Nigeria. Methods: the study was carried out in selected HF (39 private; 11 public) using a comparative cross-sectional design with a mixed method of data collection. Quantitative data were collected from 348 hypertensive and/or diabetic patients (173 private; 175 public) using a semi-structured, interviewer-administered questionnaire while qualitative data were from 5 key informant interviews (KII) conducted with HF heads or their representatives. Results: the average monthly COI of NCDs was higher among patients in private (₦15,750.38±14,286.47 [US$43.75±39.68]) than in public HF (₦13,283.37±16,432.68 [US$ 36.90±45.65]) (P<0.001), however, the indirect cost was higher in public HF (private, ₦1,561.07 [US$4.34]; public, ₦3,739.26 [US$10.39]) (p<0.001). Predictors of COI of NCDs identified were income and admission in both groups. Additionally, age, payment method, type of NCDs, having two or more complications, and exercise were identified in private while socioeconomic status, length of diagnosis, and alcohol were identified in public HF. The KII revealed a long waiting time for the public HF patients which accounted for the huge indirect cost. Conclusion: the study found a huge indirect cost in the public HF that could be minimized by developing policies that would reduce the waiting time of patients. Government and private interventions targeting identified predictors should be applied to reduce the financial burden of NCD.

Indexed as

Noncommunicable DiseasesCost of IllnessCross-Sectional StudiesHealth FacilitiesHumansNigeriaCost of illnesshealth facilitiesNigerianon-communicable diseases

Identifiers

PMID36818035
PMCPMC9935661
OpenAlexW4313590573

What OpenQuestion holds

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LicenceCC BY
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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.