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

Progress in achieving SDG targets for mortality reduction among mothers, newborns, and children in the WHO South-East Asia Region

As we reach midway towards the 2030 Sustainable Developmental Goals (SDG), this paper reviews the progress made by the WHO South-East Asia Region (SEAR) and member countries towards achieving the SDG targets for maternal, newborn and child mortality under the regional flagship initiative. Indicators for mortality and service coverage were obtained for all countries and progress assessed in comparison to other regions and between countries. Equity analysis was conducted to focus on the impact on marginalized populations. The article also informs about the priority actions taken by the WHO SEAR office and countries in accelerating reductions in maternal, newborn and child mortality. Moving forward, the region and countries must strategize to sustain the gains made so far and also address challenges of inequities, sub-optimal quality of care, newer priorities like stillbirths, birth defects, early childhood development, and public health emergencies and adverse effects of climate change on human health.

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.

Impact of Point of Care Quality Improvement Training and Coaching on Quality Perceptions of Health Care Workers: Implication for Quality Policy

Background

The quality of infant healthcare service is one of the essential factors in preventing infant mortality. The purpose of the study was to analyze the quality performance in primary healthcare centers (PHC) and hospitals before and after the point of care quality improvement (POCQI) training for Infant Healthcare Services (IHS).

Methods

This is a mixed-method study design with convergence triangulation strategy, conducted at six public PHCs and four hospitals in two districts of West Java Province, Indonesia. One hundred health care workers (HCWs) were involved for quantitative study at baseline and end of intervention. An additional 40 patients participated as informants for qualitative study. Quantitative data analysis was performed by Rasch modeling and independent t-test for all variables, followed by content analysis for qualitative data.

Results

There were significant changes in the variables of POCQI skill (mean diff: 5.14, p=0.001), quality improvement (QI) understanding (mean diff: 1.2; p=0.001), and QI engagement (mean diff: 1.7; p=0.001) in the PHC group. Although there was an increase in process and outcome variables, the changes were not significant. There was a significant change in all variables in the hospital group which were outcome (mean diff: 2.32 (p=0.19); POCQI skill (mean diff: 2.80, p=0.001); process (mean diff: 1.48, p= 0.01); QI understanding (mean diff: 1.01; p=0.01), and QI engagement (mean diff: 1.52; p=0.03). Patient perception in the qualitative study showed that PHCs and Hospitals’ services improved. Moreover, health care workers found they have a better understanding of service quality and created quality changes and improved POCQI steps.

Conclusion

Implementation of POCQI in PHC and hospitals improved the performance of the quality of his, therefore assuring that POCQI is an appropriate approach and tool to be adopted in the policy for strengthening the health system.