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

Author:

Das Manoja KumarORCID,Arora Narendra Kumar,Dalpath Suresh Kumar,Kumar Saket,Kumar Amneet P.,Khanna Abhishek,Bhatnagar Ayushi,Bahl Rajiv,Nisar Yasir Bin,Qazi Shamim Ahmad,Arora Gulshan Kumar,Dhankhad R. K.,Kumar Krishan,Chander Ramesh,Singh Bhanwar

Abstract

Introduction Improving 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. Methods This 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. Results The 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. Conclusion This 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.

Funder

World Health Organisation

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference57 articles.

1. UN Inter-agency Group for Child Mortality Estimation. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) [Internet]. [cited 2020 Mar 21]. Available from: https://data.worldbank.org/indicator/SH.DYN.NMRT?locations=IN.

2. Registrar General of India. Special Bulletin on Maternal Mortality in India 2015-17, Sample Registration System November 2019 [Internet]. Registrar General of India, Government of India

3. 2019. [cited 2020 Mar 21] Available from: http://censusindia.gov.in/vital_statistics/SRS_Bulletins/MMR_Bulletin-2015-17.pdf.

4. World Health Organisation. The goals within a goal: Health targets for SDG 3. SDG 3: Ensure healthy lives and promote wellbeing for all at all ages. [Internet]. [cited 2020 Apr 20]. Available from: https://www.who.int/sdg/targets/en/.

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