Evidence map›Paper›PMID 33054696›Full record

ArticleSexual and reproductive health matters2020

Client-provider interaction: understanding client experience with family planning service providers through the mystery client approach in India.

Ankita Shukla, Rajib Acharya, Abhishek Kumar, Arupendra Mozumdar, Kumudha Aruldas, Niranjan Saggurti

Abstract read
In one paragraph

Article in Sexual and reproductive health matters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

6 authors.

Ankita ShuklaProgram Officer, Population Council, New Delhi, India.ORCID https://orcid.org/0000-0002-9657-3406
Rajib AcharyaAssociate II, Population Council, New Delhi, India.ORCID https://orcid.org/0000-0003-4586-0859
Abhishek KumarProgram Officer, Population Council, New Delhi, India.ORCID https://orcid.org/0000-0002-2705-9147
Arupendra MozumdarSenior Program Officer, Population Council, New Delhi, India.
Kumudha AruldasImplementation Science Coordinator, Deworm3 Study, Christian Medical College, Vellore, India.
Niranjan SaggurtiDirector, Population Council, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The benefits of employing a rights-based approach in family planning (FP) programmes have made the client's rights to informed choices and quality care an essential part of any such programme. client-provider interaction is one of the critical components of the quality of care (QoC) framework of FP. While several studies have assessed QoC in FP services in India, very few have focused on the in-depth assessment of the interaction between the client and the provider during service delivery. The present study used the mystery client approach to assess the quality of interactions between clients and FP service providers in two of the most populous states of India: Bihar and Uttar Pradesh (UP). Findings highlighted that the providers spent very little time with the clients, gave them information on only one or two FP methods, and rarely talked about possible side-effects of the methods. Furthermore, the providers seemed hesitant to suggest any FP method other than condoms to newly married women. This study concluded that despite being a government priority, the quality of client-provider interaction in these two states was extremely poor.

Indexed as

Professional-Patient RelationsAdultFamily Planning ServicesFemaleHumansIndiaQuality of Health Careclient-provider interactionfamily planningprivacyproviders’ preferencesquality of care

Identifiers

PMID33054696
PMCPMC7566859

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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.