Creating and sustaining a digital community of practice for quality improvement in South-East Asia during the COVID-19 pandemic.

INTRODUCTION: Ensuring quality of care in Low and Middle Income countries (LMICs) is challenging. Despite the implementation of various quality improvement (QI) initiatives in public and private sectors, the sustenance of improvements continues to be a major challenge. A team of healthcare professionals in India developed a digital community of practice (dCoP) focusing on QI which now has global footprints. METHODOLOGY: The dCoP was conceptualised as a multitiered structure and is operational online at www.nqocncop.org from August 2020 onwards. The platform hosts various activities related to the quality of care, including the development of new products, and involves different cadres of healthcare professionals from primary to tertiary care settings. The platform uses tracking indicators, including the cost of sustaining the dCoP to monitor the performance of the dCoP. RESULT: Since its launch in 2020, dCoP has conducted over 130 activities using 13 tools with 25 940 registration and 13 681 participants. From April 2021, it has expanded to countries across the South-East Asia region and currently has participants from 53 countries across five continents. It has developed 20 products in four thematic areas for a targeted audience. dCoP is supporting mentoring of healthcare professionals from five countries in the South-East Asia region in their improvement journey. Acquiring new knowledge and improvement in their daily clinical practice has been reported by 93% and 80% of participants, respectively. The dCoP and its partners have facilitated the publication of nearly 40 articles in international journals. CONCLUSION: This dCoP platform has become a repository of knowledge for healthcare professionals in the South-East Asia region. The current paper summarises the journey of this innovative dCoP in an LMIC setting for a wider global audience.

Development of a framework of intervention strategies for point of care quality improvement at different levels of healthcare delivery system in India: initial lessons.

BACKGROUND: Inadequate quality of care has been identified as one of the most significant challenges to achieving universal health coverage in low-income and middle-income countries. To address this WHO-SEARO, the point of care quality improvement (POCQI) method has been developed. This paper describes developing a dynamic framework for the implementation of POCQI across India from 2015 to 2020. METHODS: A total of 10 intervention strategies were designed as per the needs of the local health settings. These strategies were implemented across 10 states of India, using a modification of the 'translating research in practice' framework. Healthcare professionals and administrators were trained in POCQI using a combination of onsite and online training methods followed by coaching and mentoring support. The implementation strategy changed to a fully digital community of practice platform during the active phase of the COVID-19 pandemic. Dashboard process, outcome indicators and crude cost of implementation were collected and analysed across the implementation sites. RESULTS: Three implementation frameworks were evolved over the study period. The combined population benefitting from these interventions was 103 million. A pool of QI teams from 131 facilities successfully undertook 165 QI projects supported by a pool of 240 mentors over the study period. A total of 21 QI resources and 6 publications in peer-reviewed journals were also developed. The average cost of implementing POCQI initiatives for a target population of one million was US$ 3219. A total of 100 online activities were conducted over 6 months by the digital community of practice. The framework has recently extended digitally across the South-East Asian region. CONCLUSION: The development of an implementation framework for POCQI is an essential requirement for the initiative's successful country-wide scale. The implementation plan should be flexible to the healthcare system's needs, target population and the implementing agency's capacity and amenable to multiple iterative changes.