Evidence map›Paper›PMID 29506559›Full record

ArticleReproductive health2018

Patient and provider determinants for receipt of three dimensions of respectful maternity care in Kigoma Region, Tanzania-April-July, 2016.

M M Dynes, E Twentyman, L Kelly, G Maro, A A Msuya, S Dominico, P Chaote, R Rusibamayila, F Serbanescu

Abstract read
In one paragraph

Article in Reproductive health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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.

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3 · Its place in the literature

Who cites it

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

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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

9 authors.

M M DynesCenters for Disease Control and Prevention, Division of Reproductive Health, Atlanta, Georgia. mdynes@cdc.gov.ORCID http://orcid.org/0000-0001-5040-6867
E TwentymanCenters for Disease Control and Prevention, Division of Reproductive Health, Atlanta, Georgia.
L KellyCenters for Disease Control and Prevention, Division of Reproductive Health, Atlanta, Georgia.
G MaroBloomberg Philanthropies Tanzania, Kigoma, Tanzania.
A A MsuyaAMCA Inter Consult, Dar es Salaam, Tanzania.
S DominicoThamini Uhai, Kigoma, Tanzania.
P ChaoteKigoma Region Ministry of Health, Kigoma, Tanzania.
R RusibamayilaMinistry of Health Community Development Gender Elderly and Children, Dar es Salaam, Tanzania.
F SerbanescuCenters for Disease Control and Prevention, Division of Reproductive Health, Atlanta, Georgia.

Funding

Bloomberg Family Foundation 41363Fondation H&B Agerup 41363
6 · The paper itself

Abstract

backgroundLack of respectful maternity care (RMC) is increasingly recognized as a human rights issue and a key deterrent to women seeking facility-based deliveries. Ensuring facility-based RMC is essential for improving maternal and neonatal health, especially in sub-Saharan African countries where mortality and non-skilled delivery care remain high. Few studies have attempted to quantitatively identify patient and delivery factors associated with RMC, and none has modeled the influence of provider characteristics on RMC. This study aims to help fill these gaps through collection and analysis of interviews linked between clients and providers, allowing for description of both patient and provider characteristics and their association with receipt of RMC.

methodsWe conducted cross-sectional surveys across 61 facilities in Kigoma Region, Tanzania, from April to July 2016. Measures of RMC were developed using 21-items in a Principal Components Analysis (PCA). We conducted multilevel, mixed effects generalized linear regression analyses on matched data from 249 providers and 935 post-delivery clients. The outcomes of interest included three dimensions of RMC-Friendliness/Comfort/Attention; Information/Consent; and Non-abuse/Kindness-developed from the first three components of PCA. Significance level was set at p < 0.05.

resultsSignificant client-level determinants for perceived Friendliness/Comfort/Attention RMC included age (30-39 versus 15-19 years: Coefficient [Coef] 0.63; 40-49 versus 15-19 years: Coef 0.79) and self-reported complications (reported complications versus did not: Coef - 0.41). Significant provider-level determinants included perception of fair pay (Perceives fair pay versus unfair pay: Coef 0.46), cadre (Nurses/midwives versus Clinicians: Coef - 0.46), and number of deliveries in the last month (11-20 versus < 11 deliveries: Coef - 0.35). Significant client-level determinants for Information/Consent RMC included labor companionship (Companion versus none: Coef 0.37) and religiosity (Attends services at least weekly versus less often: Coef - 0.31). Significant provider-level determinants included perception of fair pay (Perceives fair pay versus unfair: Coef 0.37), weekly work hours (Coef 0.01), and age (30-39 versus 20-29 years: Coef - 0.34; 40-49 versus 20-29 years: Coef - 0.58). Significant provider-level determinants for Non-abuse/Kindness RMC included the predictors of age (age 50+ versus 20-29 years: Coef 0.34) and access to electronic mentoring (Access to two mentoring types versus none: Coef 0.37).

conclusionsThese findings illustrate the value of including both client and provider information in the analysis of RMC. Strategies that address provider-level determinants of RMC (such as equitable pay, work environment, access to mentoring platforms) may improve RMC and subsequently address uptake of facility delivery.

Indexed as

AdolescentAdultAge FactorsCross-Sectional StudiesFemaleHumansIncomeLinear ModelsMaternal Health ServicesMiddle AgedPregnancyPregnancy ComplicationsPrincipal Component AnalysisTanzaniaWorkloadDisrespect and abuse (D&A)Maternal healthMaternal mortalityMultilevel modelingRespectful maternity care (RMC)Tanzania

Identifiers

PMID29506559
PMCPMC5838967

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.