Evaluation of prevention of mother-to-child transmission national health information system for hiv/aids, in southern region of Mozambique, April to November 2016

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Study Justification:
The study aimed to evaluate the prevention of mother-to-child transmission (PMTCT) national health information system for HIV/AIDS in the southern region of Mozambique. This evaluation was necessary because Mozambique has a generalized HIV epidemic, with a high prevalence of HIV among pregnant women and a vertical transmission rate that exceeds global targets. The study aimed to assess the performance of the electronic national health information system (SIS-MA) and the attributes and usefulness of the PMTCT surveillance system.
Highlights:
1. The PMTCT SIS-MA is useful in supporting the collection, analysis, interpretation, and dissemination of health data for defining and monitoring public health policies in Mozambique.
2. The system demonstrated flexibility in maintaining functionality with the introduction of new health facilities.
3. The concordance of data between the register books and monthly reports was high.
4. Efforts are needed to improve data quality to ensure effective monitoring of the PMTCT program and reduce vertical transmission.
Recommendations:
1. Enhance the simplicity of the system by reducing the number of key variables collected from register books and streamlining data flow procedures.
2. Improve data quality by increasing the completeness of data and ensuring better concordance between register books, monthly reports, and the SIS-MA database.
3. Strengthen the acceptability of the system by increasing professionals’ interest and engagement in data notification and improving their opinion of the registration and data entry process.
4. Enhance representativeness by ensuring accurate and comprehensive data on age, sex, clinical status, date of first consultation, and location.
5. Improve timeliness by reducing the time required to fill out register books, report data to the district statistics team, and enter data into the system.
6. Enhance stability by addressing interruptions in the system’s functionality and ensuring offline availability of the SIS-MA.
7. Promote the usefulness of the system by further supporting the collection, analysis, interpretation, and dissemination of health data for the prevention and control of adverse health events.
8. Strengthen knowledge among health professionals regarding PMTCT procedures and services.
Key Role Players:
1. Ministry of Health, Mozambique
2. National Health Information System Department
3. Maternal and Child Health Nurses
4. District-level Health Statisticians
5. Health Facility Managers
6. Data Entry Personnel
7. Public Health Researchers and Evaluators
Cost Items for Planning Recommendations:
1. Training and capacity building for health professionals on PMTCT surveillance system procedures and data quality improvement.
2. Development and implementation of simplified data collection tools and procedures.
3. Technical support for system maintenance, upgrades, and addressing interruptions.
4. Information and communication technology infrastructure and equipment.
5. Monitoring and evaluation activities to assess the effectiveness of implemented recommendations.
6. Stakeholder engagement and coordination efforts.
7. Research and evaluation funding for further studies on PMTCT program effectiveness and impact.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is rated 7 because it provides a descriptive, cross-sectional evaluation of the prevention of mother-to-child transmission (PMTCT) national health information system in Mozambique. The study design, methods, and results are clearly described. However, the abstract lacks specific details about the sample size, data analysis methods, and statistical significance of the findings. To improve the evidence, the abstract could include more information about the sample size calculation, statistical tests used, and confidence intervals for the reported percentages. Additionally, providing more context about the limitations of the study and potential biases would enhance the overall strength of the evidence.

Introduction: Mozambique has a generalized HIV epidemic, among pregnant women, HIV prevalence is estimated at 15.8% with a vertical transmission rate of 14%, more than double global targets. We evaluate electronic national health information system (SIS-MA) performance to verify if the data flow procedures met its objectives and evaluated the prevention of mother-to-child transmission (PMTCT) surveillance system to access its attributes and usefulness. Methods: we conducted a descriptive, cross-sectional evaluation of the PMTCT surveillance system in eight facilities in Gaza and Inhambane provinces using the centers for disease control and prevention guidelines (2001). For data quality, we cross-referenced patient registries from health facilities against the SIS-MA. We also interviewed 34 health technicians, using a Likert scale, to assess the following attributes of the PMTCT surveillance system: simplicity, stability, flexibility, acceptability, timeliness and data quality, usefulness of the system and knowledge of PMTCT. Results: regarding the simplicity measure, we verified that the registry books contain more than 30 variables. The system was 83% flexible in maintaining functionality with the introduction of new health facilities in the system. The completeness of the data was 50% and concordance of data from the register book and monthly reports was 89%. Conclusion: the PMTCT SIS-MA is useful in supporting the collection, analysis, interpretation and continuous and systematic dissemination of health data that are used to define and monitor public health policies in Mozambique. However, continued efforts are needed to improve data quality to ensure that the SIS-MA can adequately monitor the PMTCT program and contribute to reduced vertical transmission.

Study design: we carried out a descriptive, cross-sectional evaluation of the PMTCT surveillance system between April and November 2016. The evaluation of the system was conducted per centers for disease control and prevention (CDC) guidelines (2001), which outline key attributes of the system including: simplicity, flexibility, data quality, acceptability, sensitivity, predictive positive value, representativeness, timeliness and stability. For this evaluation, we focused on the attributes of simplicity, flexibility, data quality, acceptability, representativeness, timeliness and stability using observation, data review (PMTCT register books, monthly summary reports and the SIS-MA database) and interviews. It was not possible to evaluate the sensitivity and the predictive positive value due to the absence of variables to evaluate these attributes in the system. Study site: the study was conducted in Gaza and Inhambane provinces, located in the southern region of Mozambique (Figure 1). We selected these provinces because they are located in the southern region, which has the highest prevalence of HIV infection among pregnant women (23.6%) in Mozambique [8]. Study population, sample size consideration and sampling technique: using a semi-structured questionnaire, we interviewed 28 maternal and child health (MCH) nurses responsible for PMTCT in the eight health facilities and eight district-level health statisticians responsible for entering data in SIS-MA. The questionnaire assessed their level of knowledge about the system and evaluated the following attributes: simplicity, flexibility, acceptability, representativeness, timeliness, stability and usefulness. We selected at convenience sample of four health facilities (HF) from Gaza and Inhambane provinces. These facilities reported the highest numbers of MCH patients in 2016 and also offered antiretroviral treatment (ART) in the antenatal consultation (ANC) and HIV exposed infants/at-risk children services [7]. For the review of the option B+ registry books and monthly SIS-MA summary reports, one month was randomly selected for each health facility from April to December 2016. Data analysis: the interviews were first transcribed. The interviews were then coded and then we analyzed knowledge and system attributes, as shown in the panel below. We used the Likert scale, a psychometric response scale used in questionnaires and opinion surveys in which the interviewees specified their level of agreement with a statement, based on a scale [9]. The Likert scale is a verified tool used as a basis to measure parameters similar to ones in this evaluation [10-12]. Data was analyzed using SPSS 16.0, descriptive analysis presented in frequency tables and for the evaluation of attributes, parameters described in a table using Microsoft Excel were used. Simplicity: structure and ease of operation of the health information system [13]. The following elements were evaluated for simplicity: number of key variables collected from the register books; number of documents to be filled out; data flow (health facility>district>province>national); number of trained personnel. Score: 1 to 8 classification: simple=2 points; complex=1 point. Final score: simple: ≥6 points; complex <6 points [11]. Flexibility: the system´s ability to adapt to changes in information needs. We observed the ability of the system to remain functional during the introduction of new health facilities and the change of trained personnel. Final score: yes: flexible or no: not flexible. Acceptability: the willingness of individuals and institutions to use the surveillance system. We evaluated the interest of the professionals participating in the system (based on the data notification rate) and the opinion of the technicians about the registration and data entry in the system. Final score: low: <70%; moderate: 70 to 89%; high: ≥90% [10]. Representativeness: the ability of the system to accurately describe the occurrence of a health-related event over time and its distribution in the population by place and person. Person: age, sex, clinical status; time: date of 1st consultation; place: province, district, health facility, residence. Final score: high: ≥85%; low: 10min – not timely); the time interval between the aggregation of the data in the monthly report and the reporting to the district statistics team (≤1 week = timely; ≥1 week = not timely); the time necessary to enter the data in the system (until 24 hours = timely; >24 hours = not timely). Final score: timely: ≥50% of stages satisfactory; mot timely: ≤50% of stages. Stability: the ability of the system to be operational when needed. We evaluate the interruption of the system from the beginning of the functionality; availability of the data in the system after the introduction of the same in the database; capacity of the SIS-MA to be operational even if it is offline. Final score: high =yes; low =no. Usefulness: an ability of the system to contribute to the prevention and control of adverse health events, including a better understanding of the public health implications of such events: we evaluated the ability of SIS-MA to support the collection, analysis, interpretation and continuous and systematic dissemination of health data. Final score: yes=useful; no= not useful [11]. Data quality: the integrity and validity of the data recorded in the system. We evaluate the number of variables/fields filled out with in completing the data. Data concordance we compared the data from the book, monthly summary and system database. Score: low <70%; moderate – 70 to 89%; high ≥90%. Knowledge of the health professionals: the knowledge of procedures for various PMTCT services: counselling; analysis of CD4, hemogram and biochemistry; the type of ART provided, prophylaxis with cotrimoxazole and isoniazid; early infant diagnosis; exclusive breastfeeding; childbirth; invitation of the partner for testing. Final score: low 0 – 2, acceptable 3 – 4 and good 5 – 7. Ethical considerations: ethical approval was obtained from the institutional committee of bioethics in health of the Faculty of Medicine and Maputo Central Hospital (CIBS FM & HCM). We obtained informed written consent from the interviewees. Participation was voluntary and anonymity was guaranteed by not indicating the interviewees´ name on the questionnaire. We coded the identification (name) of the participants so that there is a link between the code and the information.

Based on the provided description, here are some potential innovations that could be recommended to improve access to maternal health:

1. Electronic Health Information System: Implementing an electronic health information system, similar to the SIS-MA, in other regions of Mozambique could improve data flow procedures and ensure accurate and timely collection, analysis, and dissemination of health data related to maternal health.

2. Mobile Health (mHealth) Solutions: Developing mobile applications or SMS-based platforms that provide pregnant women with access to important maternal health information, such as prenatal care guidelines, appointment reminders, and educational resources, could improve access to essential maternal health services.

3. Telemedicine Services: Introducing telemedicine services, such as remote consultations and telemonitoring, could help overcome geographical barriers and provide pregnant women in remote areas with access to specialized maternal health care.

4. Community Health Workers: Expanding the role of community health workers in maternal health could improve access to care by bringing essential services closer to the community. Training community health workers to provide prenatal care, education, and support to pregnant women could help reduce barriers to accessing maternal health services.

5. Transport and Referral Systems: Developing efficient transport and referral systems specifically designed for pregnant women could help overcome transportation challenges and ensure timely access to maternal health facilities, especially for those living in remote areas.

6. Maternal Health Education Programs: Implementing comprehensive maternal health education programs in schools, communities, and health facilities could improve awareness and knowledge about maternal health, leading to better utilization of maternal health services.

7. Public-Private Partnerships: Collaborating with private sector organizations, such as mobile network operators and technology companies, could leverage their resources and expertise to develop innovative solutions for improving access to maternal health services, such as mobile health applications or telemedicine platforms.

8. Maternal Health Financing Models: Exploring innovative financing models, such as microinsurance or community-based health financing schemes, could help address financial barriers to accessing maternal health services and ensure that pregnant women can afford the care they need.

These are just a few potential innovations that could be considered to improve access to maternal health. It’s important to assess the specific context and needs of the target population to determine the most appropriate and effective innovations to implement.
AI Innovations Description
Based on the information provided, here is a recommendation that can be used to develop an innovation to improve access to maternal health:

1. Improve data quality: The evaluation found that the completeness of data in the Prevention of Mother-to-Child Transmission (PMTCT) national health information system (SIS-MA) was only 50%. To ensure accurate monitoring of the PMTCT program and reduce vertical transmission, efforts should be made to improve data quality. This can be achieved by implementing regular training programs for health technicians responsible for data entry, ensuring proper documentation and record-keeping at health facilities, and conducting regular data audits to identify and address any data discrepancies.

By improving data quality, the SIS-MA will provide more reliable and accurate information on maternal health, allowing policymakers and healthcare providers to make informed decisions and allocate resources effectively.

It is important to note that this recommendation is based on the specific findings and context described in the provided description. Further analysis and consultation with relevant stakeholders would be necessary to develop a comprehensive and tailored innovation to improve access to maternal health in Mozambique.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Strengthen Data Quality: Focus on improving the completeness and concordance of data in the Prevention of Mother-to-Child Transmission (PMTCT) national health information system (SIS-MA). This can be achieved by providing training to health technicians on accurate data entry and regular data quality assessments.

2. Streamline Data Collection: Simplify the PMTCT surveillance system by reducing the number of variables collected from the register books. This will make data collection less burdensome for health facilities and improve the efficiency of the system.

3. Enhance System Flexibility: Ensure that the PMTCT surveillance system can adapt to changes in information needs, such as the introduction of new health facilities or changes in trained personnel. This can be achieved by designing the system to be easily scalable and providing ongoing technical support.

4. Improve Timeliness: Reduce the time required to complete various steps in the surveillance system, such as filling out register books, aggregating data in monthly reports, and entering data into the system. Timeliness is crucial for effective monitoring and response to maternal health issues.

5. Increase Acceptability: Promote the use of the PMTCT surveillance system among health professionals by highlighting its benefits and addressing any concerns or barriers to data entry. This can be done through targeted training programs and regular communication channels.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Define Key Performance Indicators (KPIs): Identify specific metrics that will be used to measure the impact of the recommendations. For example, KPIs could include data completeness, timeliness of reporting, and user satisfaction.

2. Baseline Assessment: Conduct an initial assessment to establish the current state of the PMTCT surveillance system. This assessment should include data quality audits, interviews with health technicians, and analysis of system performance.

3. Implement Recommendations: Roll out the recommended improvements to the PMTCT surveillance system. This may involve training programs, system updates, and communication campaigns.

4. Data Collection: Collect data on the identified KPIs before and after implementing the recommendations. This can be done through surveys, data audits, and system performance monitoring.

5. Data Analysis: Analyze the collected data to assess the impact of the recommendations on improving access to maternal health. Compare the KPIs before and after the implementation to identify any improvements or areas that still need attention.

6. Evaluation and Iteration: Evaluate the results of the simulation and identify areas for further improvement. Use the findings to refine the recommendations and iterate the process to continuously enhance access to maternal health.

By following this methodology, it will be possible to simulate the impact of the recommendations on improving access to maternal health and make informed decisions for further interventions.

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