Evidence map›Paper›PMID 28449712›Full record

ArticleBMC health services research2017

Barriers and facilitators to enrollment and re-enrollment into the community health funds/Tiba Kwa Kadi (CHF/TIKA) in Tanzania: a cross-sectional inquiry on the effects of socio-demographic factors and social marketing strategies.

Ntuli A Kapologwe, Gibson B Kagaruki, Albino Kalolo, Mariam Ally, Amani Shao, Manoris Meshack, Manfred Stoermer, Amena Briet, Karin Wiedenmayer, Axel Hoffman

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
5.3field-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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 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

10 authors at 4 institutions in 5 countries.

Ntuli A KapologweRegional Medical Office, P.O Box 320, Shinyanga, Tanzania. nkapologwe2002@gmail.com.
Gibson B KagarukiNational Institute for Medical Research (NIMR), Tukuyu Medical Research Center, P.O. Box 538, Tukuyu, Tanzania.
Albino KaloloDepartment of Community Health, St. Francis University College of Health and Allied Sciences, P.O Box 175, Ifakara, Tanzania.
Mariam AllyMinistry of Health, Community Development, Gender, Elderly and Children, P.O Box 9083, Dar es Salaam, Tanzania.
Amani ShaoNational Institute for Medical Research (NIMR), Tukuyu Medical Research Center, P.O. Box 538, Tukuyu, Tanzania.
Manoris MeshackHealth Promotion and System Strengthening (HPSS) Project, P.O Box 29, Dodoma, Tanzania.
Manfred StoermerSwiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box CH-4002, Basel, Switzerland.
Amena BrietSwiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box CH-4002, Basel, Switzerland.
Karin WiedenmayerSwiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box CH-4002, Basel, Switzerland.
Axel HoffmanSwiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box CH-4002, Basel, Switzerland.
Swiss Tropical and Public Health Institute · CHNational Institute for Medical Research · TZLocal Government Association · GBMinistry of Health, Community Development, Gender, Elderly and Children · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntroduction of a health insurance scheme is one of the ways to enhance access to health care services and to protect individuals from catastrophic health expenditures. Little is known on the influence of socio-demographic and social marketing strategies on enrollment and re-enrollment in the Community Health Fund/Tiba Kwa Kadi (CHF/TIKA) in Tanzania.

methodsThis cross-sectional study employed quantitative methods for data collection between November 2014 and March 2015 in Singida and Shinyanga regions. Relationship between variables was obtained through Chi-square test and multivariate logistic regression.

resultsWe recruited 496 participants in the study. Majority (92.7%) of participants consented to participate, with 229 (49.8%) and 231 (50.2%) members and non members of CHF/TIKA respectively. Majority (90.9%) were aware of CHF/TIKA. Majority of CHF/TIKA members and non-members (90% and 68.3% respectively) reported health facility-based sensitization as the most common social marketing approach employed to market the CHF/TIKA. The most popular marketing strategies in the country including traditional dances, football games, radio, television, news papers, and mosques/church were reported by few CHF and non CHF members. Multivariate Logistic regression models revealed no significant association between social marketing strategies and enrollment, but only socio-demographics; including marital status (AOR = 2.0, 95% CI 1.1-3.8) and family size (household with ≥ 6 members) (AOR = 1.5, 95% CI 1.0-2.5), were significant factors associated with enrollment/re-enrollment rate.

conclusionsThis study indicated that low level of utilization of available social marketing strategies and socio-demographic factors are the barriers for attracting members to join the schemes. There is a need for applying various social marketing strategies and considering different facilitating and impending socio-demographic factors for the growth and sustainability of the scheme as we move towards universal health coverage.

Indexed as

Social MarketingAdolescentAdultCommunity Health ServicesCross-Sectional StudiesData CollectionFamily CharacteristicsFemaleHumansInsurance, HealthLogistic ModelsMaleMiddle AgedSocioeconomic FactorsTanzaniaYoung AdultBarriersCommunity health fundsFacilitatorsSocial marketingTanzania

Identifiers

PMID28449712
PMCPMC5408418
OpenAlexW2608166063

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.