Adopting an integrated implementation framework that combined training, mentoring, and quality improvement processes to improve the quality, equity, and dignity of care during the intrapartum and immediate postpartum periods, the Care Around Birth approach addressed key drivers of maternal and newborn mortality. nThe approach refocused energy on facility-based quality processes that are currently central to efforts in reducing mortality and achieving Sustainable Development Goal targets.
BackgroundPostpartum Hemorrhage remains the leading cause of maternal mortality. To prevent PPH, Misoprostol tablet in a dose of 600 micrograms is recommended for use immediately after childbirth in home deliveries wherein the use of oxytocin is difficult. The current article describes an implementation of “community based advance distribution of Misoprostol program” in India which aimed to design an operational framework for implementing this program.MethodsThe intervention was carried out in Janjheli block in Mandi district of the state of Himachal Pradesh which is a mountainous terrain with limited geographical access and reported 90% home deliveries in the year 2014–15. An operational framework to implement program activities was designed which was based on WHO HSS building blocks. Key implementing steps included- Ensuring local ownership through program leadership, forecasting and procurement of 600 mcg misoprostol tablets, training, branding and communication, community engagement and counselling, recording and reporting, monitoring, supportive supervision and feedback mechanisms.ResultsOver the one year of implementation, 512 home deliveries were reported, out of which 89% received the tablets and 84% consumed the tablet within one minute of delivery. No incidence of PPH in tablet consuming mothers was reported. On account of periodic counselling and effective community engagement the intervention also contributed to better tracking of pregnancies till delivery and institutional delivery rates which increased to 93% from 45% and 57% from 11% respectively as compared to the preceding year.ConclusionsThe model has successfully shown the use of single misoprostol tablets of 600 mcg, first time in this program. We also demonstrated a HSS based operational framework, based on which the program is being scaled to additional blocks in Himachal Pradesh as well as to other states of India.Electronic supplementary materialThe online version of this article (10.1186/s12884-018-2036-2) contains supplementary material, which is available to authorized users.
Background: High-risk pregnancy (HRP) puts current pregnancy at an increased risk of complications. In the absence of pre-existing HRP implementation model of the country, in collaboration with the Government of Himachal Pradesh, a new digital HRP model called the 'SEWA—A System E-approach for Women at risk' was developed. The current article demonstrates a model for the early identification and line listing of high-risk pregnant women (PW) with appropriate referrals and increased engagement with the healthcare workers using a digital tool in the form of the Android App. Methods: SEWA was implemented as a pilot intervention in two community development blocks of the Chamba district. The key implementation steps included finalizing protocols for the identification of HRPs, defining processes and roles, mapping health facilities, setting up the communication loop, and developing of digital solutions. The digital app, used by the auxiliary nurse midwife (ANM) and program officers, tracked PW for a year from October 19 to October 20 and recorded the ANC visits, referrals, and birth outcomes. A qualitative assessment was conducted among the health workers to find out their level of acceptance. Results: A total of 1,340 high-risk PW were identified. The intervention year saw a rise in the identification of HRP to 27.9% from 3.5% in the previous year. A total of 2,559 conditions were tagged to the identified 1,340 women categorized into current pregnancy (81%), previous pregnancy (16%), and any existing chronic illness (3%). A majority of the women who required urgent referrals were provided referrals. The application recorded 53% of the delivered HRP with a digital birth preparedness plan, prepared and shared with the PW and Accredited Social Health Activists (ASHA), by text message for compliance. Conclusion: The SEWA application is a feasible and sustainable solution to complement the competency of the care providers for early identification of the high-risk conditions and reduce the burden of preventable unprecedented deaths around the time of birth.
Background: Digital learning tools have proliferated among healthcare workers in India. Evidence of their effectiveness is however minimal. We sought to examine the impact of the Safe Delivery App (SDA) on knowledge and confidence among frontline health workers (HW) in India. We also studied whether facilitation to address technical challenges enhanced self-learning. Methods: Staff nurses and nurse-midwives from 30 facilities in two states were divided into control and intervention groups through randomization. Knowledge and confidence were assessed at baseline and after 6 months. Three rounds of facilitation addressing technical challenges in downloading and usage along with reminders about the next phase of learning were conducted in the intervention group. A user satisfaction scale along with qualitative interviews was conducted in the intervention group at the endline along with qualitative interviews on facilitation. Results: The knowledge and confidence of the healthcare workers significantly increased from the baseline to endline by 4 percentage points (P < 0.001). The participants who received facilitation had a higher mean score difference in knowledge and confidence compared to those who did not receive facilitation (P < 0.001). The participants were highly satisfied with the app and video was the most-watched feature. They reported a positive experience of the facilitation process. Conclusion: The effectiveness and acceptability of the SDA indicate the applicability of mHealth learning tools at the primary healthcare level. In a time of rapid digitalization of training, facilitation or supportive supervision needs further focus while on-ground digital training could be invested in to overcome digital illiteracy among healthcare workers.
Background: The effective implementation of evidence-based practices including the use of partograph to improve maternal and newborn outcomes is critical on account of increased institutional delivery. However, despite clear guidelines, partograph use in India is not widely practiced. Materials and Methods: Quality improvement (QI) efforts along with training and mentoring were operationalized in a total of 141 facilities across 26 high priority districts of India. Assessments were conducted across baseline, intervention period, and end line. These included reviewing the availability of partograph and staff competency in filling them at baseline and end line, as well as reviewing monthly data for use and completeness of filling. The monthly data were tabulated quarter wise to study trends. Competency scores were tabulated to show the difference across assessments. Results: An overall upward trend from 29% to 61% was seen in the practice of partograph use. Simultaneously, completeness in filling up the partograph increased from 32% to 81%. Staff competency in filling partograph improved considerably: proportion of staff scoring low decreased over the intervention period from 63% to 2.5% ( P < 0.0001), and the proportion scoring high increased from 13% to 72% ( P < 0.0001) from baseline to end line. Conclusion: The integrated approach of training, mentoring, and QI can be used in similar settings to strengthen partograph use.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.