Chyntia Aryanti Mayadewi, Dian Novita Chandra, Judhiastuty Februhartanty

Understanding challenges and opportunity of data recording and reporting of malnutrition intervention programs

Introduction

Understanding challenges and opportunity of data recording and reporting of malnutrition intervention programs. Explore challenges and opportunities in malnutrition intervention data recording and reporting among healthcare workers in DKI Jakarta, Indonesia. Improve data quality, collaboration, and system integration.

Abstract

Background: The number of stunting in Indonesia was reported to be 21.6% in 2022, still far from the 2024 target of 14%. The large-scale programs of nutrition-specific intervention have been done, including moderate-acute malnutrition (MAM) and severe-acute malnutrition (SAM) interventions. However, limited findings on the process of monitoring and evaluation of both interventions. Objective: This paper aims to describe the implementation, challenges, and opportunities of malnutrition intervention data recording and reporting among healthcare workers in DKI Jakarta Province, Indonesia. Methods: Qualitative data collection was taken with in-depth interview (IDI) and focus group discussion (FGD) in August-October 2024 towards healthcare workers in selected Puskesmas in DKI Jakarta who were involved with MAM and SAM interventionss and data management. Data triangulation was done to health cadres and mothers of children under five (CU-5) as the beneficiaries. Results: This study involved eight informants from South and Central Jakarta Puskesmas, and 16 cadres and 13 mothers who were involved in MAM and SAM interventionss. The dissemination and adaptation of indicators has been done and digital data recording has been used, despite its lack of supporting resources and data integration which may affect its data quality. Leveraging resources and enabling data-sharing between facilities and maintaining communication between stakeholders are essential. Conclusions: The process of data recording and reporting of malnutrition interventions required well-informed indicators, trained personnel, and streamlined information systems. Maintaininghigh quality data, collaboration between stakeholders and utilizing accessible technology are recommended for the healthcare worker to improve the process of data recording and reporting.

Review

This paper addresses a highly pertinent issue: the effectiveness of malnutrition intervention programs in Indonesia, particularly concerning the persistent challenge of stunting. By focusing on the "process of data recording and reporting," the study delves into a critical, yet often under-examined, operational aspect of these large-scale public health initiatives. The qualitative methodology, employing in-depth interviews and focus group discussions with healthcare workers, health cadres, and mothers, is appropriate for exploring the nuanced experiences, challenges, and opportunities within the DKI Jakarta context. This approach allows for rich, contextualized insights into the practicalities of data management for Moderate Acute Malnutrition (MAM) and Severe Acute Malnutrition (SAM) interventions. While the qualitative design is commendable, certain methodological details warrant further clarification. The stated data collection period of "August-October 2024" is unusual for a manuscript likely submitted earlier, raising questions about the timeliness of the presented data or requiring an explanation if this is a prospective study. The sample size, involving eight healthcare workers, 16 cadres, and 13 mothers from selected Puskesmas, provides valuable insights but may limit the generalizability of the findings across the entire DKI Jakarta Province, let alone Indonesia. More detail on the selection criteria for both Puskesmas and participants would strengthen the study's rigor. The results effectively highlight the dual nature of digital data recording – its implementation alongside significant challenges related to resource scarcity, lack of data integration, and potential impacts on data quality. These findings underscore the complex interplay between technology, human resources, and system design in public health. Overall, this paper makes a valuable contribution to understanding the operational bottlenecks and potential leverage points for improving malnutrition intervention programs. The conclusions, advocating for well-informed indicators, trained personnel, streamlined information systems, and stakeholder collaboration, are well-supported by the qualitative findings and offer actionable recommendations for policy makers and program implementers. To enhance its impact, future work could consider expanding the geographical scope, potentially incorporating quantitative measures of data quality, and detailing the specific resource gaps identified. Addressing the methodological clarity regarding the data collection timeline would also be essential. Despite these points, the study provides a solid foundation for further research and practical improvements in the vital area of malnutrition data management in Indonesia.

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