Evidence map›Paper›PMID 34475146›Full record

ArticleBMJ open2021

Assessment of equity in healthcare financing and benefits distribution in Tanzania: a cross-sectional study protocol.

Peter Binyaruka, August Kuwawenaruwa, Mariam Ally, Moritz Piatti, Gemini Mtei

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. 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
1.6field-weighted citation impact, top 15% 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, 9 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

5 authors at 1 institution in 1 country.

Peter BinyarukaDepartment of Health System, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Dar es Salaam, Tanzania, United Republic of pbinyaruka@ihi.or.tz.ORCID 0000-0002-1892-7985
August KuwawenaruwaDepartment of Health System, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Dar es Salaam, Tanzania, United Republic of.
Mariam AllyThe World Bank, Dar es Salaam, Tanzania, United Republic of.
Moritz PiattiThe World Bank, Dar es Salaam, Tanzania, United Republic of.
Gemini MteiAbt. Associates Inc, USAID Public Sector Systems Strengthening Plus (PS3+) Project, Dar es Salaam, Tanzania, United Republic of.
Ifakara Health Institute · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAchieving universal health coverage goal by ensuring access to quality health service without financial hardship is a policy target in many countries. Thus, routine assessments of financial risk protection, and equity in financing and service delivery are required in order to track country progress towards realising this universal coverage target. This study aims to undertake a system-wide assessment of equity in health financing and benefits distribution as well as catastrophic and impoverishing health spending by using the recent national survey data in Tanzania. We aim for updated analyses and compare with previous assessments for trend analyses. METHODS AND ANALYSIS: We will use cross-sectional data from the national Household Budget Survey 2017/2018 covering 9463 households and 45 935 individuals cross all 26 regions of mainland Tanzania. These data include information on service utilisation, healthcare payments and consumption expenditure. To assess the distribution of healthcare benefits (and in relation to healthcare need) across population subgroups, we will employ a benefit incidence analysis across public and private health providers. The distributions of healthcare benefits across population subgroups will be summarised by concentration indices. The distribution of healthcare financing burdens in relation to household ability-to-pay across population subgroups will be assessed through a financing incidence analysis. Financing incidence analysis will focus on domestic sources (tax revenues, insurance contributions and out-of-pocket payments). Kakwani indices will be used to summarise the distributions of financing burdens according to households' ability to pay. We will further estimate two measures of financial risk protection (ie, catastrophic health expenditure and impoverishing effect of healthcare payments). ETHICS AND DISSEMINATION: We will involve secondary data analysis that does not require ethical approval. The results of this study will be disseminated through stakeholder meetings, peer-reviewed journal articles, policy briefs, local and international conferences and through social media platforms.

Indexed as

Financing, PersonalHealthcare FinancingCross-Sectional StudiesHealth ExpendituresHumansTanzaniaUniversal Health Insurancehealth economicshealth policyorganisation of health services

Identifiers

PMID34475146
PMCPMC8421259
OpenAlexW3196535248

What OpenQuestion holds

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LicenceCC BY-NC
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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.