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1.
BMC Pregnancy Childbirth ; 22(1): 586, 2022 Jul 23.
Artículo en Inglés | MEDLINE | ID: mdl-35870874

RESUMEN

BACKGROUND: In spite of considerable improvement in maternal and neonatal outcomes over the past decade in India, the current maternal mortality ratio and neonatal mortality rate are far from the Sustainable Development Goal targets due to suboptimal quality of maternity care. A package of interventions for improving quality of intrapartum and immediate postpartum care was co-designed with the Ministry of Health as the Dakshata program and implemented in public sector health facilities in selected districts in the state of Rajasthan of India since June 2015. This article describes the key strategies, interventions, results and challenges from four years of Dakshata program implementation. METHODS: We have conducted secondary analysis of program data (government data) collected from 202 public facilities across 20 districts of Rajasthan state. The data collected between June-August 2015 (baseline) and the data collected between May-August 2019 (latest) were analyzed. The data sources included: facility assessments, service statistics, monthly progress reports. RESULTS: During the period of program implementation, there were 17,94,249 deliveries accounting for 70% of institutional deliveries in intervention districts. As a result of the intervention, there was a notable increase in competency of health care providers, availability of essential resources, achievement of labour room standards and adherence to evidence-based clinical standards. We also observed reductions in the proportion of referrals for pre-eclampsia/eclampsia, postpartum hemorrhage and neonatal asphyxia by 11, 8 and 3 percentage points respectively. Similarly, data revealed a reduction in stillbirth rates in Dakshata intervention facilities (19.3 vs 15.3) compared to non-Dakshata facilities (21.8 vs 18). CONCLUSIONS: Our experience and findings indicate that the quality of intrapartum and immediate postpartum care can be improved in low- and middle-income countries with the approach presented in this paper.


Asunto(s)
Servicios de Salud Materna , Atención Posnatal , Femenino , Humanos , India/epidemiología , Recién Nacido , Parto , Embarazo , Instalaciones Públicas
2.
BMC Pregnancy Childbirth ; 21(1): 278, 2021 Apr 07.
Artículo en Inglés | MEDLINE | ID: mdl-33827459

RESUMEN

BACKGROUND: Computerized clinical decision support (CDSS) -digital information systems designed to improve clinical decision making by providers - is a promising tool for improving quality of care. This study aims to understand the uptake of ASMAN application (defined as completeness of electronic case sheets), the role of CDSS in improving adherence to key clinical practices and delivery outcomes. METHODS: We have conducted secondary analysis of program data (government data) collected from 81 public facilities across four districts each in two sates of Madhya Pradesh and Rajasthan. The data collected between August -October 2017 (baseline) and the data collected between December 2019 - March 2020 (latest) was analysed. The data sources included: digitized labour room registers, case sheets, referral and discharge summary forms, observation checklist and complication format. Descriptive, univariate and multivariate and interrupted time series regression analyses were conducted. RESULTS: The completeness of electronic case sheets was low at postpartum period (40.5%), and in facilities with more than 300 deliveries a month (20.9%). In multivariate logistic regression analysis, the introduction of technology yielded significant improvement in adherence to key clinical practices. We have observed reduction in fresh still births rates and asphyxia, but these results were not statistically significant in interrupted time series analysis. However, our analysis showed that identification of maternal complications has increased over the period of program implementation and at the same time referral outs decreased. CONCLUSIONS: Our study indicates CDSS has a potential to improve quality of intrapartum care and delivery outcome. Future studies with rigorous study design is required to understand the impact of technology in improving quality of maternity care.


Asunto(s)
Sistemas de Apoyo a Decisiones Clínicas/estadística & datos numéricos , Adhesión a Directriz/estadística & datos numéricos , Atención Perinatal/organización & administración , Pautas de la Práctica en Medicina/estadística & datos numéricos , Mejoramiento de la Calidad , Asfixia Neonatal/epidemiología , Asfixia Neonatal/prevención & control , Sistemas de Apoyo a Decisiones Clínicas/normas , Registros Electrónicos de Salud/organización & administración , Registros Electrónicos de Salud/estadística & datos numéricos , Femenino , Adhesión a Directriz/normas , Implementación de Plan de Salud , Humanos , India/epidemiología , Recién Nacido , Complicaciones del Trabajo de Parto/epidemiología , Atención Perinatal/normas , Atención Perinatal/estadística & datos numéricos , Guías de Práctica Clínica como Asunto , Pautas de la Práctica en Medicina/organización & administración , Pautas de la Práctica en Medicina/normas , Embarazo , Evaluación de Programas y Proyectos de Salud , Mortinato/epidemiología
3.
Artículo en Inglés | MEDLINE | ID: mdl-33187163

RESUMEN

The evolving field of mobile health (mHealth) is revolutionizing collection, management, and quality of clinical data in health systems. Particularly in low- and middle-income countries (LMICs), mHealth approaches for clinical decision support and record-keeping offer numerous potential advantages over paper records and in-person training and supervision. We conducted a content analysis of qualitative in-depth interviews using the Technology Acceptance Model 3 (TAM-3) to explore perspectives of providers and health managers in Madhya Pradesh and Rajasthan, India who were using the ASMAN (Alliance for Saving Mothers and Newborns) platform, a package of mHealth technologies to support management during the peripartum period. Respondents uniformly found ASMAN easy to use and felt it improved quality of care, reduced referral rates, ensured timely referral when needed, and aided reporting requirements. The TAM-3 model captured many determinants of reported respondent use behavior, including shifting workflow and job performance. However, some barriers to ASMAN digital platform use were structural and reported more often in facilities where ASMAN use was less consistent; these affect long-term impact, sustainability, and scalability of ASMAN and similar mHealth interventions. The transitioning of the program to the government, ensuring availability of dedicated funds, human resource support, and training and integration with government health information systems will ensure the sustainability of ASMAN.


Asunto(s)
Tecnología Biomédica , Periodo Periparto , Instalaciones Públicas , Tecnología Biomédica/normas , Tecnología Biomédica/estadística & datos numéricos , Electrónica , Femenino , Humanos , India , Recién Nacido , Atención Posnatal/métodos , Atención Posnatal/normas , Atención Posnatal/estadística & datos numéricos , Instalaciones Públicas/estadística & datos numéricos
4.
BMC Pregnancy Childbirth ; 16(1): 345, 2016 11 08.
Artículo en Inglés | MEDLINE | ID: mdl-27825321

RESUMEN

BACKGROUND: India accounts for 27 % of world's neonatal deaths. Although more Indian women deliver in facilities currently than a decade ago, early neonatal mortality has not declined, likely because of insufficient quality of care. The WHO Safe Childbirth Checklist (SCC) was developed to support health workers to perform essential practices known to reduce preventable maternal and new-born deaths around the time of childbirth. Despite promising early research many outstanding questions remain about effectiveness of the SCC in low-resource settings. METHODS: In collaboration with the Ministry of Health SCC was modified for Indian context and introduced in 101 intervention facilities in Rajasthan, India and 99 facilities served as comparison to study if it reduces mortality. This Quasi experimental Observational intervention-comparison was embedded in this larger program to test whether a program for introduction of SCC with simple implementation package was associated with increased adherence to 28 evidence-based practices. This study was conducted in 8 intervention and 8 comparison sites. Program interventions to promote appropriate use of the SCC included orienting providers to the checklist, modest modifications of the SCC to promote provider uptake and accountability, ensuring availability of essential supplies, and providing supportive supervision for helping providers in using the SCC. RESULTS: The SCC was used by providers in 86 % of 240 deliveries observed in the eight intervention facilities. Providers in the intervention group significantly adhered to practices included in the SCC than providers in the comparison group controlling for baseline scores and confounders. Women delivering in the intervention facilities received on an average 11.5 more of the 28 practices included compared with women in the comparison facilities. For selected practices provider performance in the intervention group increased as much as 93 % than comparison sites. CONCLUSION: Use of the SCC and provider performance of best practices increased in intervention facilities reflecting improvement in quality of facility childbirth care for women and new-born in low resource settings.


Asunto(s)
Lista de Verificación , Parto Obstétrico/normas , Países en Desarrollo , Adhesión a Directriz/estadística & datos numéricos , Calidad de la Atención de Salud , Medicina Basada en la Evidencia , Femenino , Humanos , India , Parto , Guías de Práctica Clínica como Asunto , Embarazo , Organización Mundial de la Salud
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