Evidence map›Paper›PMID 34297746›Full record

ArticlePloS one2021

Improving quality of care for pregnancy, perinatal and newborn care at district and sub-district public health facilities in three districts of Haryana, India: An Implementation study.

Manoja Kumar Das, Narendra Kumar Arora, Suresh Kumar Dalpath, Saket Kumar, Amneet P Kumar, Abhishek Khanna, Ayushi Bhatnagar, Rajiv Bahl, Yasir Bin Nisar, Shamim Ahmad Qazi and 5 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 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

15 authors.

Manoja Kumar DasThe INCLEN Trust International, New Delhi, India.ORCID 0000-0002-8559-5837
Narendra Kumar AroraThe INCLEN Trust International, New Delhi, India.
Suresh Kumar DalpathDepartment of Health and Family Welfare, Government of Haryana, Panchkula, Haryana, India.
Saket KumarDepartment of Health and Family Welfare, Government of Haryana, Panchkula, Haryana, India.
Amneet P KumarDepartment of Health and Family Welfare, Government of Haryana, Panchkula, Haryana, India.
Abhishek KhannaThe INCLEN Trust International, New Delhi, India.
Ayushi BhatnagarThe INCLEN Trust International, New Delhi, India.
Rajiv BahlDepartment of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland.
Yasir Bin NisarDepartment of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland.
Shamim Ahmad QaziDepartment of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland.
Gulshan Kumar AroraDepartment of Health and Family Welfare, Office of Chief Medical Officer and Civil Surgeon (Faridabad), Government of Haryana, Faridabad, Haryana, India.
R K DhankhadDepartment of Health and Family Welfare, Office of Chief Medical Officer and Civil Surgeon, (Jhajjar), Government of Haryana, Jhajjar, Haryana, India.
Krishan KumarDepartment of Health and Family Welfare, Office of Chief Medical Officer and Civil Surgeon (Rewari), Government of Haryana, Rewari, Haryana, India.
Ramesh ChanderDepartment of Health and Family Welfare, Office of Chief Medical Officer and Civil Surgeon (Faridabad), Government of Haryana, Faridabad, Haryana, India.
Bhanwar SinghDepartment of Health and Family Welfare, Office of Chief Medical Officer and Civil Surgeon (Rewari), Government of Haryana, Rewari, Haryana, India.

Funding

World Health Organization 001
6 · The paper itself

Abstract

introductionImproving quality of care (QoC) for childbirth and sick newborns is critical for maternal and neonatal mortality reduction. Information on the process and impact of quality improvement at district and sub-district hospitals in India is limited. This implementation research was prioritized by the Haryana State (India) to improve the QoC for maternal and newborn care at the busy hospitals in districts.

methodsThis study at nine district and sub-district referral hospitals in three districts (Faridabad, Rewari and Jhajjar) during April 2017-March 2019 adopted pre-post, quasi-experimental study design and plan-do-study-act quality improvement method. During the six quarterly plan-do-study-act cycles, the facility and district quality improvement teams led the gap identification, solution planning and implementation with external facilitation. The external facilitators monitored and collected data on indicators related to maternal and newborn service availability, patient satisfaction, case record quality, provider's knowledge and skills during the cycles. These indicators were compared between baseline (pre-intervention) and endline (post-intervention) cycles for documenting impact.

resultsThe interventions closed 50% of gaps identified, increased the number of deliveries (1562 to 1631 monthly), improved care of pregnant women in labour with hypertension (1.2% to 3.9%, p<0.01) and essential newborn care services at birth (achieved ≥90% at most facilities). Antenatal identification of high-risk pregnancies increased from 4.1% to 8.8% (p<0.01). Hand hygiene practices improved from 35.7% to 58.7% (p<0.01). The case record completeness improved from 66% to 87% (p<0.01). The time spent in antenatal clinics declined by 19-42 minutes (p<0.01). The pooled patient satisfaction scores improved from 82.5% to 95.5% (p<0.01). Key challenges included manpower shortage, staff transfers, leadership change and limited orientation for QoC.

conclusionThis multipronged quality improvement strategy improved the maternal and newborn services, case documentation and patient satisfaction at district and sub-district hospitals. The processes and lessons learned shall be useful for replicating and scaling up.

Indexed as

Quality of Health CareAdultFemaleHealth Plan ImplementationHospitals, PublicHumansIndiaInfant, NewbornMaleMaternal Health ServicesPatient Satisfaction

Identifiers

PMID34297746
PMCPMC8301676

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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.