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.

Development of a hub and spoke model for quality improvement in rural and urban healthcare settings in India: a pilot study.

OBJECTIVE: Hub and spoke model has been used across industries to augment peripheral services by centralising key resources. This exercise evaluated the feasibility of whether such a model can be developed and implemented for quality improvement across rural and urban settings in India with support from a network for quality improvement. METHODS: This model was implemented using support from the state and district administration. Medical colleges were designated as hubs and the secondary and primary care facilities as spokes. Training in quality improvement (QI) was done using WHO's point of care quality improvement methodology. Identified personnel from hubs were also trained as mentors. Both network mentors (from QI network) and hub-mentors (from medical colleges) undertook mentoring visits to their allotted facilities. Each of the participating facility completed their QI projects with support from mentors. RESULTS: Two QI training workshops and two experience sharing sessions were conducted for implementing the model. A total of 34 mentoring visits were undertaken by network mentors instead of planned 14 visits and rural hub-mentors could undertake only four visits against planned 18 visits. Ten QI projects were successfully completed by teams, 80% of these projects started during the initial intensive phase of mentoring. The projects ranged from 3 to 10 months with median duration being 5 months. DISCUSSION: Various components of a health system must work in synergy to sustain improvements in quality of care. Quality networks and collaboratives can play a significant role in creating this synergy. Active participation of district and state administration is a critical factor to produce a culture of quality in the health system.

Combining bottleneck analysis and quality improvement as a novel methodology to improve the quality of neonatal care in a northeastern state of India: a feasibility study.

Background: The State of Meghalaya, India, has some of the worst newborn health outcomes in the country. State health authorities commissioned an assessment of newborn service delivery to improve services. This study proposes bottleneck analysis (BNA) and quality improvement (QI) methods as a combined method to improve compliance with evidence-based neonatal interventions in newborn health facilities. Methods: An adapted Every Newborn BNA tool was applied to collect data on barriers to providing quality care in five district hospitals. Subsequently, health workers were coached to use QI methodology to overcome identified bottlenecks. Data from QI projects were analysed using run charts. Results: BNA revealed that interventions directed toward basic newborn care and special newborn care facilities needed attention. Facilities that undertook QI projects showed an improvement in neonates having early initiation of breastfeeding within the first hour of birth, from 64% to a peak of 94% in one facility and from 75% to 91% in another. Skin-to-skin contact increased from 49% to a peak of 78% and is sustained at 58%. Improved performance has been sustained in some facilities. Conclusions: The combination of BNA and QI is a successful method for identifying and overcoming bottlenecks in newborn care in resource-limited settings.