Monitoring continuity of maternal and child health services, Indonesia

Abstract Objective To implement an online system to evaluate the impact of the coronavirus disease 2019 (COVID-19) pandemic on maternal and child health and nutrition essential health services in Indonesia. Methods We developed an electronic monitoring and evaluation system to assist district health offices in making rapid assessments of the impact of COVID-19 on maternal and child health and nutrition programmes in their area and in developing policy and programme responses. This implementation research was conducted from September to December 2020 in 304 districts. The strategies consisted of technical assistance for district offices by 21 partner universities and development of an online dashboard for rapid situation analyses and reporting. We collected qualitative data on feasibility and adherence to the intervention, as well as quantitative data from routine health databases to analyse the impact of COVID-19 on maternal and child health and nutrition indicators. Findings In the majority of districts key maternal and child health and nutrition services were moderately or severely affected by the pandemic, particularly child growth monitoring and antenatal care services. Adherence to the protocol of the intervention varied across districts but the system is a feasible approach to be scaled up to other regions and health programmes. High uptake by the health ministry, district office and university partners provided the platform with collaborative efforts for health-systems strengthening. Conclusion The electronic monitoring and evaluation system could be implemented and completed with several modifications to accommodate district offices and universities. There is a potential to scale up the intervention with better implementation planning and training.


Introduction
Indonesia, a lower-middle-income country with a population of more than 260 million people, has a high burden of infant and maternal mortality and child undernutrition. In 2018, the prevalence of stunting was 30.8% (27 023 of 87 737 children aged 0-59 months), 1 significantly higher than in other countries with comparable economic development status. 2,3 The prevalence also varies widely across provinces, ranging from 17.7% in the capital city Jakarta to 42.6% in the less-developed province of East Nusa Tenggara. 1 In 2019, Indonesia's infant mortality (20.2 per 1000 live births) and maternal mortality (177 per 100 000 live births) were among the highest in the South-East Asia Region. [4][5][6] The United Nations Children's Fund in Indonesia has reported that lack of awareness, unequal capacity and distribution of health resources, insufficient budget allocation, and lack of vertical and intersectoral coordination were the most prominent factors related to those problems. 7 Indonesia's national strategy for stunting reduction has been in place since 2015. [8][9][10] However, the coronavirus disease 2019 (COVID-19) pandemic has halted many public health programmes, particularly those delivered by community health centres and integrated health posts. [11][12][13] By 2020, the Indonesian health system was at its capacity, with the government diverting resources towards COVID-19 mitigation. [14][15][16] Budget reallocation to the pandemic has jeopardized the country's capacity to maintain essential health services, with a notable impact on pre-existing problems, 7 including programmes focused on the health of mothers and children's nutrition. 11 Providing timely data on the impact of the pandemic on routine programmes is necessary to rapidly map strategies to recover from the disruption caused by the pandemic. Managerial problems that might be faced by district health offices can provide evidence of the need for capacity improvement from external resources.
We describe our experience in developing and implementing an online system to help maintain maternal and child health and nutrition programmes in Indonesia during the COVID-19 pandemic. The initiative was a collaboration between the Ministry of Health of Indonesia and Gadjah Mada University in Special Region of Yogyakarta, with 20 other partner universities across Indonesia.

Study setting
This implementation research was done in provinces and islands throughout Indonesia. In 2020, the national government designated 120 districts as priority areas for reducing maternal and neonatal mortality and 260 districts as priority areas for improving nutrition, specifically child stunting. These Monitoring maternal and child health programmes, Indonesia Siti Helmyati et al.
focus areas may receive greater budget allocation from the national level for programme innovations and implementations. Since 76 districts are focus areas for both maternal and neonatal mortality and for stunting, we included a total of 304 districts in the study.

Intervention
We developed an electronic monitoring and evaluation system (called eMonev) to assist district health offices in making rapid assessments of the impact of COVID-19 on maternal and child health and nutrition indicators in their area and in developing policy and programme responses. The health ministry appointed Gadjah Mada University as the lead academic partner to supervise and implement the system. The intervention consisted of technical assistance for district offices by partner universities and development of an online dashboard for analysis and reporting. Both strategies were designed to provide remote assistance to improve the managerial capabilities of the staff of district offices, including situation and policy analysis using routine data, and to map the impact of the pandemic and possible mitigation strategies.
Technical assistance and mentoring to district offices was delivered by the health ministry and 21 partner universities, including the lead university. The universities were selected based on previous collaboration with the health ministry in providing expert assistance in data analysis on other projects, and each university was assigned to assist staff in 14-16 district offices closest to them. The lead university recruited all 304 district health offices to the study and held several meetings with partner universities to discuss the activities.
We designed the online dashboard to display maps and charts summarizing the data collected. We also developed a website where participants could open the training resources, access online meetings, view other materials and upload documents written by the district health offices. The development of the dashboard and website started with gathering information and inputs from the health ministry and assessing which indicators to include. The selected indicators were routine data collected by district offices and stored in the health ministry database. Information about the impact of the pandemic, and strategies and challenges to deal with it, was gathered from the district offices and quality checked by the lead university before being transferred to the online dashboard. All activities were documented in open-access websites. [17][18][19][20] Each district office was expected to produce three documents from an analysis of the national routine data in their area: (i) a situation or impact analysis of the pandemic on the selected indicators; (ii) a policy analysis; and (iii) a policy brief with recommendations for post-pandemic recovery. Staff at the lead university collated the reports and categorized the severity of impact of the pandemic (severe, moderate, mild, cannot be determined, or no data available) according to the number of indicators adversely affected. All documents and the results of the analysis collected by district offices were then displayed online in the dashboard.

Implementation
Recruitment of universities and district offices to the study began in September 2020. The intervention phase was from October to December 2020. Fig. 1 shows the steps in the implementation of the intervention from planning, recruitment and training, through data collection and analysis, to feedback to participants and dissemination to the health ministry and other stakeholders. Throughout the study we communicated with participants and collected data through online activities such as videoconferencing, email and text messages.
To facilitate implementation of the intervention we designed staff development programmes for representatives of universities, to build their capacity as consultants, and for representatives of district offices, to improve their ability to analyse situations and policies. Training was delivered in online sessions by experts in the field of qualitative and quantitative data management and health management and policy. The sessions comprised an introduction to the electronic monitoring and evaluation system; training in collection and analysis of quantitative and qualitative data; and an introduction to the dashboard (more details are in Fig. 1 and the data repository). 21 We used a blended learning approach, synchronously via videoconferencing applications and through recording material and literature on the programme website. Information on the website could be accessed by participants throughout the study.

Data analysis
To evaluate the implementation of the intervention we assessed the following outcomes: (i) feasibility of the intervention delivery; (ii) fidelity to the intervention protocols; (iii) availability of data for analysis; (iv) availability of documents describing the impact of the pandemic on key indicators; (v) staff development programmes received by universities and district offices; and (vi) availability of the electronic monitoring and evaluation programme's websites (Table 1 available at: https:// www .who .int/ publications/ journals/ bulletin/ ).
We assessed these outcomes quantitatively by analysis of routine data on maternal and child health (based on eight indicators) and nutrition (based on six indicators) to create a descriptive summary of the extent to which each service was affected by the pandemic. We analysed the data and generated maps and charts using Excel (Microsoft Corp., Redmond, United States of America, USA), R (R Foundation for Statistical Computing, Vienna, Austria) and shinyapps (R Studio, Boston, USA) software. While data validity is a concern in the routine systems for collection of data on nutrition and maternal and child health, we aimed to use the best available data and to provide an opportunity to improve its quality via the intervention. We complemented these data with qualitative data obtained from our observations throughout the study, from discussions between universities and district offices and from questionnaires to all participants in universities and district offices. Questionnaires covered the participants' views about implementation of the intervention, government policies related to COVID-19 and budget allocations for maternal and child health and nutrition programmes.

Programme analysis
More details of the participating universities and district offices are shown in the data repository. 21 Three of the 21 universities (14%) were absent from several development meetings and did not reach all their assigned districts to assist them in completing the required documents. Of the 304 district health offices, 80 offices (26%) did not attend all the trainings and were unable to com-

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Monitoring maternal and child health programmes, Indonesia Siti Helmyati et al.
plete all the required documents. Only 158 offices (52%) were able to validate the quantitative data and provide all the necessary qualitative information. Adherence to standard operating procedures by participants, based on our observations, is shown by the shadings in Fig. 1. We needed to modify most of the activities in the intervention to meet the short timeline of the study, and to meet the challenge of bringing the electronic monitoring to scale in 304 districts nationwide. Our use of a blended learning system was efficient for the large number of participants and enabled participants to learn and open the materials even after the training.
The electronic monitoring and evaluation system was effective in assisting district offices to use routine data for situation analysis and decision-making in their area (Table 1). Technical assistance by universities was an important component in helping district offices conduct these activities. Now that the national routine data are digital-based and relatively easy to use, the system has sustainability. However, challenges such as poor internet access and the small number of staff focused on maternal and child health and nutrition in the district offices and universities need to be considered (Box 1). The lead university has filed a report about these challenges to the health ministry for further action. Table 2 presents the follow-up analyses of the challenges of the pandemic reported by participants and the innovations that took place to mitigate the impact of the pandemic. We note with interest how community health workers (CHWs) coped well with the restrictions imposed by the pandemic. However, the situation varied across provinces. Several provinces would have benefited from collaboration with other ministries or agencies involved in development planning, particularly in addressing preexisting health-system challenges. These problems include security problems (in

Dashboard development
The lead university designed the online dashboard to display the information collected and to be ready to be synchronized with the national health information system

Capacity-building
The health ministry and lead university carried out online training for sta in partner universities (100-minute sessions to groups of sta from 4-5 universities) on how to be consultants to the district health o ces. The partner universities then carried out online training for sta of the district health o ces (100-minute sessions to groups of 60 sta ) to improve their capacity to analyse and assess the impact of the pandemic Progress report and monitoring for partner universities The lead university held an online meeting with partner universities once a week for 1 hour. The lead university was also available for informal contact by mobile phone chat application. Discussions often centred on universities' constraints in implementing assistance to district health o ces Progress report and monitoring for district health offices Partner universities held an online meeting with district health o ces once a week for 2-3 hours. Discussions often centred on issues with implementation of the intervention by district health o ces Data collection and analysis District health o ces compiled routine data on the maternal and child health and nutrition indicators (as de ned in the intervention protocol) from the national data system that was displayed in the dashboard. If local data were available, the health o ce sta compared both data sets and used the most up to date. Supervision was by partner universities

Collection of report documents
Partner universities reviewed the analysis documents and sent them to the lead university. The lead university checked the completeness of the data, compiled the data into one le and created a summary of information from each document

Data entry into COVID-19 dashboard
The lead university as dashboard developer and manager uploaded the documents from district health o ces and made a compilation and summary of information from each document in the dashboard

Dissemination of results
The results of the intervention were disseminated by the lead university to all those involved in e orts to help maternal and child health and nutrition programmes recover from the COVID-19 pandemic at the national and regional levels (the health ministry, participants from universities and health o ces, Indonesian family planning agency and the general public) Evaluation of results of the analysis and reports A meeting was held between the lead university and the health ministry to evaluate the activities and results of the intervention Data verification District health o ces were able to verify or change the data displayed on the dashboard by contacting their partner university COVID-19: coronavirus disease 2019. Note: Dark blue shading indicates that the step in the intervention protocol was implemented as intended; light blue shading indicates that the step was implemented with modifications.
Monitoring maternal and child health programmes, Indonesia Siti Helmyati et al.
Papua Province), lack of appropriate anthropometric measuring tools and lack of trained staff. Furthermore, many district offices reported poor internet access and infrastructure. Fig. 2 maps the impact of the COVID-19 pandemic on key maternal and child health and nutrition indicators across districts of Indonesia as of 22 January 2021. Based on the analyses of nutrition-related programmes in 260 priority districts, 23 districts (9%) were severely affected by the pandemic, 101 districts (39%) moderately affected, 61 districts (23%) mildly affected and 75 districts (29%) could not be assessed due to lack of data. Fig. 2 shows the impact of the pandemic on maternal and neonatal mortality indicators in 120 priority districts:15 districts (13%) were severely affected, 59 districts (49%) were moderately affected, and 46 districts (38%) were mildly affected.

Impact analysis
We also assessed the impact of the COVID-19 pandemic on four of the six nutrition indicators (Fig. 3) and eight maternal and child health indicators ( Fig. 4) as of 22 January 2021. Growth monitoring (nutrition indicators) and maternal services coverage (at least four visits; maternal and child health indicators) were the most affected (89 and 91 districts affected, respectively), while vitamin A supplementation (nutrition indicators) and family planning services (maternal and child health indicators) were the least affected (80 and 25 districts, respectively).

Policy analysis
The impact analysis was followed by policy analysis and recommendations for strategies to support maternal and child health and nutrition programmes during the pandemic (Box 2). The most prominent follow-up actions suggested by district offices and their partner university were improving the health information system; engaging the community for action on maternal and child health and nutrition programmes; and solving underlying health-system problems such as lack of staff and insufficient anthropometric measuring tools in field offices.

Discussion
We present our experience in developing an approach to monitoring the impact of the COVID-19 pandemic on key components of the routine health-care system in Indonesia. 22 The intervention allowed for rapid situation assessments of the impact of the pandemic on mother and child and nutrition programmes in individual districts and nationwide. The use of digital technology was effective and time-efficient -factors which are important in settings such as Indonesia with a large population and diverse geographical conditions, and during external shocks such as a pandemic.
We found evidence of good feasibility of the online system. The health ministry fully supported using digital-based routine data for monitoring essential services, and strengthened the platforms by further online training for district offices after the required activities had been completed. The intervention is in line with World Health Organization's recommendation to use routine data to maintain essential health services. 22 The routine collection of nutrition and maternal and child health indicators are now digital-based and easier to use and access. University staff found the online system easier to operate and more efficient than paper-based and face-to-face methods, especially after much of the resources of district offices were diverted to managing the COVID-19 pandemic. Furthermore, the system was considered more convenient for universities, particularly during travel restrictions. University partners were enthusiastic in assisting the district offices, in line with the culture of research and community service in higher education in Indonesia. 23 District offices recognized the important role of universities in improving their ability to analyse data and make policy recommendations, and the majority of them still communicated with universities after the study ended.
There were challenges, however. Fidelity to the intervention in terms of adherence to standard protocols by district office and university staff showed some weaknesses. A major component of the intervention was the analysis of national routine data that were available on the dashboard and were easy to access online for district offices. However, several district officers preferred to use their own data for analysis since they believed that these were more complete, up to date and reliable than the data in the national systems which were collected by CHWs at integrated health posts who were not properly trained. Furthermore, data were not regularly updated by the community health centre or district offices due to limitations in human resources, infrastructure and internet access. These factors adversely affected the completion of the intervention activities by district offices, even with supervision and encouragement from their partner university. District offices around the more remote eastern regions and small islands of Indonesia were especially affected. Poor adherence to the intervention protocols highlighted Challenges reported by staff of partner universities: • Negative responses from the district office staff: slow or often late in giving response, did not look interested or did not understand the aim of this study (31 respondents); • Difficulty in coordination between university and district office or among programmes in district offices (1 respondent); • Poor communication between head of district office and maternal and child health and nutrition implementer (1 respondent); • Health office staff did not understand the type of data needed or how to analyse data (1 respondent); • Prefer face-to-face monitoring and evaluation (1 respondent). COVID-19: coronavirus disease 2019. Note: The data are only from participants who offered their comments and therefore do not represent the views of all participants.

Table 2. Challenges and innovations in the implementation of the intervention to maintain maternal and child health and nutrition programmes during the COVID-19 pandemic, Indonesia, October-November 2020
Programme component

Challenges Innovations
Growth monitoring -Health ministry mandate to postpone services at integrated health posts from March to August 2020 (but still continue for areas with a high risk of COVID-19) led to delays in growth monitoring -Parents' fears about COVID-19 meant that they did not want to bring their child to integrated health posts for anthropometric measurements -Civil unrest in a district in Papua Province halted activities at integrated health posts even before the COVID-19 pandemic started -Some district offices reported that integrated health posts did not have proper anthropometry gauges due to shortages of human and financial resources -Health workers or CHWs carried out home visits to monitor children aged 0-59 months old at risk of undernutrition -Health workers created a group mobile phone chat with parents to monitor the health condition of children aged 0-59 months and share health information -Parents of children aged 0-59 months made an appointment with health workers in community health centres for anthropometry measurement -Parents who had a bodyweight scale and were able to measure body height or length at home would examine their children then report the results to the health workers by telephone Exclusive breastfeeding -Health workers had difficulty monitoring exclusive breastfeeding since services at integrated health posts were halted and parents with newborns could not go to community health centres. Health workers had to rely on subjective answers from mothers in phone conversations about exclusive breastfeeding -Civil unrest in a district in Papua Province halted activities at integrated health posts before the COVID-19 pandemic started -Health workers monitored the programme's coverage using a mobile phone chat application. However, the methods could not ensure whether mothers had exclusively breastfed or not -Health workers asked mothers to come to the community health centre or vice versa when there was a nutrition counselling session. The counselling would be face-to-face, private and limited to 30 minutes Vitamin A supplementation -A district office in Bali Province reported that their CHWs refused to distribute vitamin A supplements door-to-door because of the risk of exposure to COVID-19 -Civil unrest in a district in Papua Province halted activities at integrated health posts even before the COVID-19 pandemic started -Since in February 2020 no COVID-19 case was found in Indonesia and in August 2020 the cases number had lowered, the distribution of vitamin A supplements in most districts was relatively stable -Most district offices reported that health workers and CHWs were willing to distribute supplements for children aged 0-59 months door-to-door Infant and young child feeding -District offices reported that budget reallocation for COVID-19 mitigation had led to postponement of the infant and young child feeding programme -Several district offices from remote areas reported that they did not have trained staff in community health centres to carry out infant and young child feeding education for CHWs or mothers -Civil unrest in a district in Papua Province halted activities at integrated health posts even before the COVID-19 pandemic started -For districts that had carried out the infant and young child feeding programme, health workers used a mobile phone chat application to communicate with CHWs and mothers and carried out online nutrition counselling sessions in groups -Community health centres that had conducted the infant and young child feeding programme could invite mothers or CHWs (in small groups or privately) to attend for a counselling session. This activity depended on the severity of COVID-19 in the areas -Health workers could give counselling on infant and young child feeding, especially for mothers of malnourished children aged 0-59 months, when they came to the community health centre for growth monitoring Integrated management of childhood illnesses -District offices who planned to start integrated management of childhood illness in 2020 reported that budget reallocation for COVID-19 mitigation had led to postponement of the programme -Several district offices reported they did not have trained staff in community health centres -Civil unrest in a district in Papua Province halted activities at integrated health posts even before the COVID-19 pandemic started -Several district offices reported that, whenever possible, health workers would go to the homes of children aged 0-59 months and check their health condition -Community health centres which already had an integrated management of childhood illness service modified examination rooms to separate patients with and without signs and symptoms of respiratory illness (continues. . .) Monitoring maternal and child health programmes, Indonesia Siti Helmyati et al.
gaps in resources across Indonesia. Furthermore, several district offices reported that staff were reassigned to handling the COVID-19 pandemic, and therefore fewer staff were available to manage maternal and child health and nutrition programmes. High workloads and administrative duties also hindered the full participation of district offices in the intervention activities.
We made several modifications to accommodate the time-limitations and the abilities of district offices since this was their first experience with electronic monitoring and evaluation. Despite the circumstances, partner universities continued to assist and supervise district offices via online meetings, messages and phone calls and to use available routine health data for analysis. Universities emphasized the importance of completing the activities in the protocol and the benefits to district offices if they were able to complete all the necessary documents for display on the dashboard, including gaining support from the health ministry and stakeholders. Nevertheless, several district offices could not complete all the activities in the given time.
The biggest challenge to effective implementation of the intervention was the inequalities in resources across district offices and universities. Several district offices have few human resources focusing on maternal and

Challenges Innovations
First antenatal care -Some health facilities were temporarily closed due to staff shortages when staff became infected with COVID-19 -Some parents were afraid of being exposed to COVID- 19 when visiting health facilities -Telemedicine was used so that pregnant women could seek information about their pregnancy via social media managed by community health centres, mother and child clinics or health workers. Consultation with a midwife or other health worker could also be done online -Pregnant women could make an appointment in advance or register online with the health facility to avoid crowding at facilities Maternal services coverage -Many health staff at community health centres and hospitals were diverted to COVID-19 activities (e.g. testing, tracking and treatment), while other areas lacked staff even before the pandemic -Pregnant women could make an appointment with the health facility for an examination to avoid crowding at facilities (. . .continued) child health and nutrition programmes, and some offices struggled to adjust to an online-based work system. Furthermore, mobile phone and internet networks are not equally available across Indonesia, causing difficulties for several participants. University staff too were often unfamiliar with the data and how the platforms worked, so additional training was needed. Some university staff were newly assigned to the district offices, hence training for a consultant role is continuously needed. Better planning and leadership from the health ministry is needed for the intervention to be more effective.
Another weakness of the intervention was the uneven geographical distribution of partner universities, which were mainly from highly populated Java Island. To better assist the district offices, a more diverse selection of universities need to be engaged in the programme. We also noted that district offices in geographical proximity to universities were more active and had better understanding about the COVID-19 impact in their area.
The dashboard can rapidly display the status of essential services across regions or over time, which helped in analysing the situation for further recommendations to relevant stakeholders. After the dissemination of the results of the monitoring and evaluation at the end of 2020, there was a discussion Notes: Stunting priority districts (n = 260) and maternal and neonatal mortality priority districts (n = 120). Nutrition programmes were assessed based on six indicators: Severe impact was defined as five to six out of six indicators being negatively affected by the pandemic, Moderate Impact was three to four indicators affected, and Mild impact was one to two indicators affected. Cannot be determined was when there were insufficient reports to generate the composite index. Maternal and child health programmes were assessed based on eight indicators: Severe impact was seven to eight indicators negatively affected by the pandemic, Moderate impact was four to six indicators affected, and Mild impact was one to three indicators affected.
Monitoring maternal and child health programmes, Indonesia Siti Helmyati et al.
among the health ministry, universities and family planning agency about synchronizing the dashboards to the routine national data collection platforms for nutrition and maternal and child health indicators. Unfortunately, the plan was postponed due to limited funds from budget reallocation for handling COVID-19. The health ministry is now focusing on strengthening routine data use in community health centres and district or provincial health offices.
The implementation was funded by the health ministry at a total cost of 703.6 million Indonesian rupiahs, or 49 645 United States dollars (US$). The funding was split into six categories: implementation design, development of programmes, training, analysis and reporting, supervision of universities, and universities' fees, with the last category receiving the largest share of US$ 42 333. Given the large number of district offices and universities involved and the positive outcomes of the system, we believe that the cost of the intervention was reasonable.
This study has some limitations. First, the evaluations of fidelity and feasibility were limited. We could only identify participants' adherence to standard protocols. Moreover, our primary measure of adherence and exposure were observations and questionnaire surveys, although the latter could not reach all participants. We did not evaluate district offices on the quality of training and development activities they received, the professional supervision by universities or the convenience of the dashboard. The information we gathered was not measured through direct surveys or evaluations. Second, there was no comparison group to compare the quality and delivery of training and supervision. Third, the duration of the monitoring and evaluation from planning to implementation was short, only 3 months, and operated at the end of the year when district office staff reported a backlog of work. The short timescale of the intervention likely influenced the willingness of district offices and universities to complete the programme.
The implementation of the intervention has had some positive outcomes. First, the health ministry, universities, district health offices and other stakeholders have begun to appreciate the benefit of routine health data and use of information technology systems for rapid health system assessment. Routine health data also avoid the need for and reliance on costly health surveys. Participants understood the importance of data quality and validity and the efforts needed to improve the health information system. There is now an established network between universities and district offices managing maternal and child health and nutrition programmes, including data validation, which could lead to better collaboration to improve the quality of services delivery in the future.  Notes: Nutrition services were assessed based on six indicators but the chart shows only the four indicators measured by quantitative methods; the other two indicators were based on subjective opinions from the district health offices. Severe impact was defined as five to six out of six indicators being negatively affected by the pandemic, Moderate impact was three to four indicators affected, and Mild impact was one to two indicators affected. We also made a note of districts where there were insufficient reports to generate the composite index. The numbers shown are the number of districts. For nutrition programmes, Impacted means that the programme's coverage in the district was negatively impacted by the COVID-19 pandemic marked by a decrease of the coverage during the pandemic. Not impacted means that the programme's coverage was not negatively impacted marked by the stable coverage during the pandemic. Impact unclear from data means the data and information provided was ambiguous so no conclusions could be drawn.

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Monitoring maternal and child health programmes, Indonesia Siti Helmyati et al.
We also observed a positive longerterm impact following the intervention. In 2021, the health ministry began using training activities to further scale up the use of national health routine data for decision-making by district offices and started collaborating with various universities to strengthen the routine data collection systems for maternal and child health and nutrition indicators. The national population and family planning agency, an agency mandated to reduce stunting prevalence in Indonesia, is now planning to cooperate with universities to assist districts in implementing, monitoring and evaluating stunting reduction programmes.
Data integration would be important to improve maternal and child health and nutrition programmes as many of the variables are collected by different units within the district offices or by external agencies. This would allow for more rapid analysis and programme planning or recommendations.
The implementation of the electronic monitoring and evaluation has offered the potential for better use of routine health data in programme monitoring and evaluation. The online platform allows for better coverage across countries with vast geographical areas and large populations. While several modifications and continuous improvement are pertinent, we propose that a similar approach could be scaled up to other programmes and beyond the pandemic period. ■

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Monitoring maternal and child health programmes, Indonesia Siti Helmyati et al.

Supervisión sobre la continuidad de los servicios de salud maternoinfantil en Indonesia
Objetivo Aplicar un sistema en línea para evaluar los efectos de la pandemia de la coronavirosis de 2019 (COVID-19) en los servicios sanitarios esenciales de salud y nutrición maternoinfantil en Indonesia. Métodos Se desarrolló un sistema electrónico de supervisión y de evaluación para ayudar a las oficinas distritales de salud a realizar evaluaciones rápidas sobre los efectos de la COVID-19 en los programas de salud y nutrición maternoinfantil en su zona y a elaborar respuestas normativas y programáticas. Esta investigación de aplicación se llevó a cabo de septiembre a diciembre de 2020 en 304 distritos. Las estrategias consistieron en la asistencia técnica a las oficinas de distrito a cargo de 21 universidades asociadas y el desarrollo de un tablero de mando en línea para realizar análisis rápidos de la situación y presentar informes. Se recopilaron datos cualitativos sobre la viabilidad y la adhesión a la intervención, así como datos cuantitativos de las bases de datos de salud sistemáticas para analizar los efectos de la COVID-19 en los indicadores de salud y nutrición maternoinfantil.
Resultados En la mayoría de los distritos, los servicios clave de salud y nutrición maternoinfantil se vieron moderada o gravemente afectados como consecuencia de la pandemia, en especial la supervisión del crecimiento infantil y los servicios de asistencia prenatal. La adhesión al protocolo de la intervención varió en los diferentes distritos, pero el sistema es un método viable que se puede ampliar a otras regiones y programas sanitarios. La participación activa del ministerio de sanidad, la oficina del distrito y los socios universitarios proporcionó una plataforma de colaboración para el fortalecimiento de los sistemas sanitarios. Conclusión El sistema electrónico de supervisión y de evaluación podría aplicarse y completarse con varias modificaciones que se adapten a las oficinas de distrito y a las universidades. Existe la posibilidad de ampliar la intervención mediante la mejora de la formación y la planificación de la aplicación.