Evidence map›Paper›PMID 26555896›Full record

ArticlePloS one2015

Chronic Diseases in North-West Tanzania and Southern Uganda. Public Perceptions of Terminologies, Aetiologies, Symptoms and Preferred Management.

Soori Nnko, Dominic Bukenya, Bazil Balthazar Kavishe, Samuel Biraro, Robert Peck, Saidi Kapiga, Heiner Grosskurth, Janet Seeley

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. AAS open research · 2020
    Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. EADSG Guidelines: Insulin Therapy in Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2018
    Article
  19. Article
  20. 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

8 authors.

Soori NnkoNational Institute for Medical Research, Isamilo Road, P.O. Box 1462, Mwanza, Tanzania.
Dominic BukenyaMRC/UVRI Uganda Research Unit on AIDS, P.O. Box 49, Entebbe, Uganda.
Bazil Balthazar KavisheMwanza Intervention Trials Unit, P.O. Box 11936, Mwanza, Tanzania.
Samuel BiraroMRC/UVRI Uganda Research Unit on AIDS, P.O. Box 49, Entebbe, Uganda.
Robert PeckMwanza Intervention Trials Unit, P.O. Box 11936, Mwanza, Tanzania.
Saidi KapigaMwanza Intervention Trials Unit, P.O. Box 11936, Mwanza, Tanzania.
Heiner GrosskurthLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Janet SeeleyMRC/UVRI Uganda Research Unit on AIDS, P.O. Box 49, Entebbe, Uganda.

Funding

Medical Research Council 99430Medical Research Council G0901756Medical Research Council G1002650Medical Research Council MC_UP_A910_1112
6 · The paper itself

Abstract

backgroundResearch has shown that health system utilization is low for chronic diseases (CDs) other than HIV. We describe the knowledge and perceptions of CDs identified from rural and urban communities in north-west Tanzania and southern Uganda.

methodsData were collected through a quantitative population survey, a quantitative health facility survey and focus group discussions (FGDs) and in-depth interviews (IDIs) in subgroups of population survey participants. The main focus of this paper is the findings from the FGDs and IDIs.

resultsWe conducted 24 FGDs, involving approximately 180 adult participants and IDIs with 116 participants (≥18 years). CDs studied included: asthma/chronic obstructive lung disease (COPD), diabetes, epilepsy, hypertension, cardiac failure and HIV- related disease. The understanding of most chronic conditions involved a combination of biomedical information, gleaned from health facility visits, local people who had suffered from a complaint or knew others who had and beliefs drawn from information shared in the community. The biomedical contribution shows some understanding of the aetiology of a condition and the management of that condition. However, local beliefs for certain conditions (such as epilepsy) suggest that biomedical treatment may be futile and therefore work counter to biomedical prescriptions for management.

conclusionCurrent perceptions of selected CDs may represent a barrier that prevents people from adopting efficacious health and treatment seeking behaviours. Interventions to improve this situation must include efforts to improve the quality of existing health services, so that people can access relevant, reliable and trustworthy services.

Indexed as

AdultAsthmaChronic DiseaseDiabetes MellitusDisease ManagementFemaleFocus GroupsHealth Knowledge, Attitudes, PracticeHealth SurveysHIV InfectionsHumansHypertensionMalePerceptionPublic OpinionRural Population

Identifiers

PMID26555896
PMCPMC4640879

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.