Assessing intersectional gender analysis in Nepal's health management information system: a case study on tuberculosis for inclusive health systems.

BACKGROUND: Tuberculosis (TB) remains a major public health problem in Nepal, high in settings marked by prevalent gender and social inequities. Various social stratifiers intersect, either privileging or oppressing individuals based on their characteristics and contexts, thereby increasing risks, vulnerabilities and marganilisation associated with TB. This study aimed to assess the inclusiveness of gender and other social stratifiers in key health related national policies and the Health Management Information System (HMIS) of National Tuberculosis Programme (NTP) by conducting an intersectional analysis of TB cases recorded via HMIS. METHODS: A desk review of key policies and the NTP's HMIS was conducted. Retrospective intersectional analysis utilized two secondary data sources: annual NTP report (2017-2021) and records of 628 TB cases via HMIS 6.5 from two TB centres (2017/18-2018/19). Chi-square test and multi-variate analysis was used to assess the association between social stratifers and types of TB, registration category and treatment outcome. RESULTS: Gender, social inclusion and concept of intersectionality are incorporated into various health policies and strategies but lack effective implementation. NTP has initiated the collection of age, sex, ethnicity and location data since 2014/15 through the HMIS. However, only age and sex disaggregated data are routinely reported, leaving recorded social stratifiers of TB patients static without analysis and dissemination. Furthermore, findings from the intersectional analysis using TB secondary data, showed that male more than 25 years exhibited higher odds [adjusted odds ratio (aOR) = 4.95, 95% confidence interval (CI): 1.60-19.06, P = 0.01)] of successful outcome compared to male TB patients less than 25 years. Similarly, sex was significantly associated with types of TB (P < 0.05) whereas both age (P < 0.05) and sex (P < 0.05) were significantly associated with patient registration category (old/new cases). CONCLUSIONS: The results highlight inadequacy in the availability of social stratifiers in the routine HMIS. This limitation hampers the NTP's ability to conduct intersectional analyses, crucial for unveiling the roles of other social determinants of TB. Such limitation underscores the need for more disaggregated data in routine NTP to better inform policies and plans contributing to the development of a more responsive and equitable TB programme and effectively addressing disparities.

Adapting national data systems for donor transition: comparative analysis of experience from Georgia and China.

Health management information systems (HMISs) are essential in programme planning, budgeting, monitoring and evidence-informed decision-making. This paper focuses on donor transitions in two upper-middle-income countries, China and Georgia, and explores how national HMIS adaptations were made and what facilitated or limited successful and sustainable transitions. This comparative analytical case study uses a policy triangle framework and a mixed-methods approach to explore how and why adaptations in the HMIS occurred under the Gavi Alliance and the Global Fund-supported programmes in China and Georgia. A review of published and grey literature, key informant interviews and administrative data analysis informed the study findings. Contextual factors such as the global and country context, and health system and programme needs drove HMIS developments. Other factors included accountability on a national and international level; improvements in HMIS governance by establishing national regulations for clear mandates of data collection and reporting rules and creating institutional spaces for data use; investing in hardware, software and human resources to ensure regular and reliable data generation; and capacitating national players to use data in evidence-based decision-making for programme and transition planning, budgeting and outcome monitoring. Not all the HMIS initiatives supported by donors were sustained and transitioned. For the successful adaptation and sustainable transition, five interlinked and closely coordinated support areas need to be considered: (1) coupling programme design with a good understanding of the country context while considering domestic and external demands for information, (2) regulating appropriate governance and management arrangements enhancing country ownership, (3) avoiding silo HMIS solutions and taking integrative approach, (4) ensuring the transition of funding onto domestic budget and enforcing fulfilment of the government's financial commitments and finally (5) investing in technologies and skilled human resources for the HMIS throughout all levels of the health system. Neglecting any of these elements risks not delivering sustainable outcomes.

Review of the India Adolescent Health Strategy in the context of disease burden among adolescents.

Background: A nuanced understanding of the health needs of adolescents in the context of the India Adolescent Health Strategy (IAHS) is needed to inform policy interventions for improving the health and well-being of adolescents in India. Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, we identified the top ten causes of years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs) disaggregated by sex and age group (10-14 and 15-19 years) for India and its states in 2019. To inform the IAHS of refinement or expansion in focus needed to improve adolescent health in India, we reviewed the extent to which the top 10 causes of disease burden are addressed in the IAHS, and the availability of and age- and sex-disaggregation in the service utilisation data for adolescents captured in the Adolescent Friendly Health Clinic monitoring information system (AFHC MIS) and Health Management Information System (HMIS). We also reviewed the availability of and age-and sex-disaggregation in the data capture at the population level for the IAHS outcome indicators in the data sources identified in the IAHS operational framework. Findings: Females in the 10-14 and 15-19 years age groups suffered 6.75 million and 9.25 million DALYs, respectively, 39.1% and 44.2% of which were YLLs; the corresponding DALYs for males were 6.71 million and 9.65 million (42.3% and 41.1% YLLs), respectively. Within the 6 thematic areas of the IAHS, most strategies and indicators identified are for sexual and reproductive health followed by nutrition, and broadly these conditions accounted for YLDs and not YLLs in adolescents. Significant gaps in the IAHS in comparison to the disease burden for fatal diseases and conditions were seen across injuries, communicable diseases, and non-communicable diseases. Injuries accounted for 65.9% and 45.3% of YLLs in males and females aged 15-19 years, and 40.8% in males aged 10-14 years. Specifically, road injuries (15.3%, 95% UI 11.0-18.0) and self-harm (11.3%, 95% UI 8.7-14.2) accounted for most of the injury deaths in 15-19 years whereas drowning (7.7% 95% UI 5.8-9.6) and road injuries (6.9%, 95% UI 4.7-8.6) accounted for the most injury deaths in 10-14 years males. However, only self-harm and gender-based violence are specifically addressed in the IAHS with non-specific interventions for other injuries. Diarrhoea, lower respiratory infections, malaria, encephalitis, tuberculosis, typhoid, cirrhosis, and hepatitis are the other disease conditions accounting for YLLs and DALYs in adolescents but these are neither addressed in the IAHS nor in service provision under the AFHC MIS. There is no age- or sex-disaggregation in the cause of death data captured in the HMIS to allow an understanding of mortality in adolescents. For the IAHS outcome indicators at the population level, data capture for the 10-14 years irrespective of sex was largely missing from the population surveys and none of the surveys captured data for either females or males aged 15-19 years for physical inactivity and mental health indicators. Interpretation: The considerable differences seen in the IAHS thematic focus as compared with the leading causes of fatal and non-fatal disease burden in adolescents in India, and in the availability of population-level data to monitor the outcome indicators of the IAHS can pose substantial limitations for improving adolescent health in India. The findings in this paper can be utilized by decision makers to refine action aimed at improving adolescent health and well-being. Funding: Bill & Melinda Gates Foundation.

Documenting the development, adoption and pre-ebola implementation of Liberia's integrated disease surveillance and response (IDSR) strategy.

BACKGROUND: In the immediate aftermath of a 14-year civil conflict that disrupted the health system, Liberia adopted the internationally recommended integrated disease surveillance and response (IDSR) strategy in 2004. Despite this, Liberia was among the three West African countries ravaged by the worst Ebola epidemic in history from 2014 to 2016. This paper describes successes, failures, strengths, and weaknesses in the development, adoption, and implementation of IDSR following the civil war and up until the outbreak of Ebola, from 2004 to early 2014. METHODS: We reviewed 112 official Government documents and peer-reviewed articles and conducted 29 in-depth interviews with key informants from December 2021 to March 2022 to gain perspectives on IDSR in the post-conflict and pre-Ebola era in Liberia. We assessed the core and supportive functions of IDSR, such as notification of priority diseases, confirmation, reporting, analysis, investigation, response, feedback, monitoring, staff training, supervision, communication, and financial resources. Data were triangulated and presented via emerging themes and in-depth accounts to describe the context of IDSR introduction and implementation, and the barriers surrounding it. RESULTS: Despite the adoption of the IDSR framework, Liberia failed to secure the resources-human, logistical, and financial-to support effective implementation over the 10-year period. Documents and interview reports demonstrate numerous challenges prior to Ebola: the surveillance system lacked key components of IDSR including laboratory testing capacity, disease reporting, risk communication, community engagement, and staff supervision systems. Insufficient financial support and an abundance of vertical programs further impeded progress. In-depth accounts by donors and key governmental informants demonstrate that although the system had a role in detecting Ebola in Liberia, it could not respond effectively to control the disease. CONCLUSION: Our findings suggest that post-war, Liberia's health system intended to prioritize epidemic preparedness and response with the adoption of IDSR. However, insufficient investment and systems development meant IDSR was not well implemented, leaving the country vulnerable to the devastating impact of the Ebola epidemic.

Strengthening routine data reporting in private hospitals in Lagos, Nigeria.

The availability of routine health information is critical for effective health planning, especially in resource-limited countries. Nigeria adopted the web-based District Health Information System (DHIS) to harmonize the collection, analysis and storage of data for informed decision-making. However, only 44% of all private hospitals in Lagos State reported to the DHIS despite constituting 90% of all health facilities in the state. To bridge this gap, this study implemented targeted interventions. This paper describes (1) the implemented interventions, (2) the effects of the interventions on data reporting on DHIS during the intervention period and (3) the evaluation of data reporting on DHIS after the intervention period in select private hospitals in Lagos State. A five-pronged intervention was implemented in 55 private hospitals (intervention hospitals), which entailed stakeholder engagement, on-the-job training, in-facility mentoring and the provision of data tools and job aids, to improve data reporting on DHIS from 2014 to 2017. A controlled before-and-after study design was employed to assess the effectiveness of the implemented interventions. A comparable cohort of 55 non-intervention private hospitals was selected, and data were extracted from both groups. Data analysis was conducted using paired and independent t-tests to assess the effect and measure the difference between both groups of hospitals, respectively. An average increase of 65.28% (P < 0.01) in reporting rate and 50.31% (P < 0.01) in the timeliness of reporting on DHIS was seen among intervention hospitals. Similarly, the difference between intervention and non-intervention hospitals post-intervention was significantly different for both data reporting (mean difference = -22.38, P < 0.01) and timeliness (mean difference = -18.81, P < 0.01), respectively. Furthermore, a sustained improvement in data reporting and timeliness of reporting on DHIS was observed among intervention hospitals 24 months after interventions. Thus, implementing targeted interventions can strengthen routine data reporting for better performance and informed decision-making.

A roadmap for using DHIS2 data to track progress in key health indicators in the Global South: experience from sub-saharan Africa.

High quality health data as collected by health management information systems (HMIS) is an important building block of national health systems. District Health Information System 2 (DHIS2) software is an innovation in data management and monitoring for strengthening HMIS that has been widely implemented in low and middle-income countries in the last decade. However, analysts and decision-makers still face significant challenges in fully utilizing the capabilities of DHIS2 data to pursue national and international health agendas. We aimed to (i) identify the most relevant health indicators captured by DHIS2 for tracking progress towards the Sustainable Development goals in sub-Saharan African countries and (ii) present a clear roadmap for improving DHIS2 data quality and consistency, with a special focus on immediately actionable solutions. We identified that key indicators in child and maternal health (e.g. vaccine coverage, maternal deaths) are currently being tracked in the DHIS2 of most countries, while other indicators (e.g. HIV/AIDS) would benefit from streamlining the number of indicators collected and standardizing case definitions. Common data issues included unreliable denominators for calculation of incidence, differences in reporting among health facilities, and programmatic differences in data quality. We proposed solutions for many common data pitfalls at the analysis level, including standardized data cleaning pipelines, k-means clustering to identify high performing health facilities in terms of data quality, and imputation methods. While we focus on immediately actionable solutions for DHIS2 analysts, improvements at the point of data collection are the most rigorous. By investing in improving data quality and monitoring, countries can leverage the current global attention on health data to strengthen HMIS and progress towards national and international health priorities.

Impact of COVID-19 on utilization of maternal and child health services in India: Health management information system data analysis.

Background/Objectives: Studies globally have documented the impact of COVID 19 on maternal and newborn health services. This study assesses the impact of COVID-19 on essential maternal and child health (MCH) services in India based on the national Health Management Information System (HMIS). Methods: Present retrospective study used secondary data analysis upon the routinely collected data accessed from Health Management Information System. Microdata on maternal and newborn indicators was extracted for all states between April and June during 2019, 2020 and 2021. Relative change for each indicator were taken into consideration for the year 2020 and 2021; with respect to the outcomes in 2019. Results: Compared to 2019, antenatal care registrations saw a decline in all states for both periods in 2020 and 2021 except for Sikkim, Telangana, Maharashtra and Andhra Pradesh. Similarly, the relative changes in 2019 pertaining to the proportion of pregnant women provided with emergency obstetric care for pregnancy complications registered a decline in all states except for Himachal Pradesh, Telangana and Arunachal Pradesh. There was a decreasing trend noted in institutional deliveries in 2020 and 2021 among all major states. However, an increasing trend was seen in the number of immunization sessions held among all major states. Conclusion: The study demonstrates a disruption in service delivery during the lockdown period in the first wave and the peak of the second wave. Further qualitative studies need to be undertaken to generate evidence for maintaining continuum of care during a pandemic situation.

Digital Technologies to Enhance Infectious Disease Surveillance in Tanzania: A Scoping Review.

Mobile phones and computer-based applications can speed up disease outbreak detection and control. Hence, it is not surprising that stakeholders in the health sector are becoming more interested in funding these technologies in Tanzania, Africa, where outbreaks occur frequently. The objective of this situational review is, therefore, to summarize available literature on the application of mobile phones and computer-based technologies for infectious disease surveillance in Tanzania and to inform on existing gaps. Four databases were searched-Cumulative Index to Nursing and Allied Health Literature (CINAHL), Excerpta Medica Database (Embase), PubMed, and Scopus-yielding a total of 145 publications. In addition, 26 publications were obtained from the Google search engine. Inclusion and exclusion criteria were met by 35 papers: they described mobile phone-based and computer-based systems designed for infectious disease surveillance in Tanzania, were published in English between 2012 and 2022, and had full texts that could be read online. The publications discussed 13 technologies, of which 8 were for community-based surveillance, 2 were for facility-based surveillance, and 3 combined both forms of surveillance. Most of them were designed for reporting purposes and lacked interoperability features. While undoubtedly useful, the stand-alone character limits their impact on public health surveillance.

Telephone treatments in Improving Access to Psychological Therapies services: an analysis of use and impact on treatment uptake.

BACKGROUND: There is debate about how best to increase access to psychological therapy and deliver mental healthcare effectively and efficiently at a national level. One trend is the increased use of the telephone to deliver therapy. However, there is the potential to disadvantage certain patient groups and/or impact on uptake of help. This study aims to answer three questions: (i) Which factors are associated with being offered an assessment by telephone? (ii) Which factors are associated with attendance at assessment? and (iii) What is the impact of an assessment by telephone on subsequent treatment appointment? METHODS: Routine outcome data was provided by seven UK Improving Access to Psychological Therapy services. The analysis sample comprised 49,923 patients who referred to 615 general practices in 2017. Multilevel modelling, including service and GP practice as random factors, was used to answer the three research questions. RESULTS: The offer of an initial assessment by telephone was strongly associated with local service configuration. Patient self-referral, a shorter wait, greater age and lower deprivation were associated with attendance at assessment and subsequent treatment session. Telephone mode assessment had no impact on the uptake of the assessment but may influence the uptake of further treatment if this was also by telephone. The practitioner carrying out the assessment had a significant effect on subsequent treatment uptake. CONCLUSION: Offering telephone assessments does not have a negative impact on uptake of assessment and services may benefit by facilitating and integrating telephone assessments into their systems. The COVID-19 pandemic has accelerated the use of telephone and other remote means of delivery, and results from this study can inform services to consider how best to re-configure post-pandemic.

The Quality of Logistics Management Information System and the Availability of Tracer Drugs at Health Posts in Rural Ethiopia: A Mixed-Method Study.

Background: Proper implementation of the logistics management information system (LMIS) would facilitate access to essential pharmaceutical products. It also prevents wastage at health posts. The aim of this study was to assess the implementation of the LMIS and the availability of tracer drugs at health posts in rural Ethiopia. Methods: We employed a cross-sectional descriptive design with a mixed-method approach. The data used for this paper was collected from March to May 2019 as part of the National HEP assessment. The study involved 343 health posts randomly selected from nine regions of Ethiopia. Women's Development Army members and household heads participated in the qualitative study (i.e. in FGD and KII). The quantitative data were exported from Open Data Kit (ODK) to Stata 15.1 for statistical analysis, and the qualitative data were entered into NVivo 12 and analyzed using thematic content analysis. Results: Of the health posts, 59.4% had a space for storing drugs; less than half (41.9%; 95% confidence interval (CI) [36%, 48%]) had a functioning refrigerator. The mean percentage of the availability of selected tracer drugs at health posts was 59.6%, with a 95% CI (58.9%, 60.3%). Bin cards were available at 43% (95% CI [40%, 46%]) of health posts, and among these, only 27.5% of the health posts adequately used the bin cards. Conclusion: The absence and poor use of LMIS tools was observed at health posts. Proper implementation of the LMIS has the potential to improve the availability of essential drugs that, in turn, improve health post level delivery of health services.

The Quality of Logistics Management Information System and the Availability of Tracer Drugs at Health Posts in Rural Ethiopia: A Mixed-Method Study

BACKGROUND: Proper implementation of the logistics management information system (LMIS) would facilitate access to essential pharmaceutical products. It also prevents wastage at health posts. The aim of this study was to assess the implementation of the LMIS and the availability of tracer drugs at health posts in rural Ethiopia. METHODS: We employed a cross-sectional descriptive design with a mixed-method approach. The data used for this paper was collected from March to May 2019 as part of the National HEP assessment. The study involved 343 health posts randomly selected from nine regions of Ethiopia. Women's Development Army members and household heads participated in the qualitative study (i.e. in FGD and KII). The quantitative data were exported from Open Data Kit (ODK) to Stata 15.1 for statistical analysis, and the qualitative data were entered into NVivo 12 and analyzed using thematic content analysis. RESULTS: Of the health posts, 59.4% had a space for storing drugs; less than half (41.9%; 95% confidence interval (CI) [36%, 48%]) had a functioning refrigerator. The mean percentage of the availability of selected tracer drugs at health posts was 59.6%, with a 95% CI (58.9%, 60.3%). Bin cards were available at 43% (95% CI [40%, 46%]) of health posts, and among these, only 27.5% of the health posts adequately used the bin cards. CONCLUSION: The absence and poor use of LMIS tools was observed at health posts. Proper implementation of the LMIS has the potential to improve the availability of essential drugs that, in turn, improve health post level delivery of health services.

Does Digitally Enabling Frontline Health Workers Improve Coverage and Quality of Maternal and Child Health Services? Findings From a Mixed Methods Evaluation of TECHO+ in Gujarat.

Introduction: Technology Enabled Community Health Operations (TeCHO+) is a mobile and web-based application (app) for frontline health workers. It includes features such as real-time data entry, automated generation of the work plan, and a decision support system generating alerts for high-risk cases. Since 2019, the programme is implemented across all 33 districts of Gujarat, catering to a population of over 60 million. This study aims to compare changes in the coverage, quality of data reporting maternal and child health services, and time spent in the documentation before and after the introduction of the TeCHO+ app. Methods: To address the study aim, a mixed-method design with a realist evaluation approach was adopted. The survey was conducted with randomly selected beneficiaries from 32 sub-centers across two districts of Gujarat State in India. We surveyed 215 postpartum women and mothers of 102 children at baseline (pre) and 246 postpartum women and mothers of 119 children post 1 year of the TeCHO+ programme intervention in 2020. For qualitative data, total 29 Auxiliary Nurse Midwives, 12 Data Entry Operators and 10 Primary Health Center Medical Officers were purposively selected from 32 PHCs and interviewed to understand the pathways leading to the programme outcome. Results: Following introduction of TeCHO+, the coverage of full antenatal care (ANC; 75.6% vs. 67.9%, p-value < 0.0001), consumption of at least 180 iron-folic acid tablets (93% vs. 77%, p-value < 0.001), early initiation of breastfeeding (42.7% vs. 24.2%, p-value < 0.001), five home-visits by ANM during the first month after delivery (36.2% vs. 27.9%, p-value = 0.056), HBV0 vaccination (67.2% vs. 35.3%, p-value < 0.0001) and Pentavalent 2 (100% vs. 95.1%, p-value = 0.015) improved. The overall concordance rate for routine maternal health indicators (a measure of data quality) improved from 69.1 to 80.5%, while that for routine child health indicators improved from 86.6 to 92.1%. The programme resulted in 1.7 h saving a day of ANM's productive time and 1.5 h (a day) of data entry operator's time. Conclusions: The TeCHO+ programme has improved access to care. It impacted both coverage of maternal and child health services and data reporting quality of various maternal and child high-risk conditions. Considering the programme's success, other disease services might be added to the scope of TeCHO+ software.

Data quality and associated factors in the health management information system at health centers in Shashogo district, Hadiya zone, southern Ethiopia, 2021.

BACKGROUND: Poor quality routine data contributes to poor decision-making, inefficient resource allocation, loss of confidence in the health system, and may threaten the validity of impact evaluations. For several reasons in most developing countries, the routine health information systems in those countries are described as ineffective. Hence, the aim of this study is to determine the quality of data and associated factors in the routine health management information system in health centers of Shashogo district, Hadiya Zone. METHODS: A facility-based cross-sectional study was conducted from June 1, 2021, to July 1, 2021, and 300 participants were involved in the study through simple random sampling. The data was collected with a self-administered questionnaire by trained data collectors. After checking its completeness, the data was entered into EPI data version 3.1 and exported to SPSS version 25 for statistical analysis. Finally, variables with p < 0.05 during multivariable analysis were considered significant variables. RESULT: A total of 300(100%) participant were included in the interview and HMIS data quality was 83% in Shashogo district health centers. The data quality in terms of accuracy, completeness, and timeliness was 79%, 86%, and 84%, respectively. Conducting supportive supervision [AOR 3.5 (1.4, 8.9)], checking accuracy [AOR 1.3 (1.5, 3.5)], filling registrations [AOR 2.7 (1.44, 7.7)], and confidence level [AOR 1.9 (1.55, 3.35)] were all rated positively found to be factors associated with data quality. CONCLUSION: The overall level of data quality in Shashogo district health centers was found to be below the national expectation level. All dimensions of data quality in the district were below 90% in data accuracy, content completeness, and timeliness of data. Conducting supportive supervision, checking accuracy, filling registrations and confidence level were found to be factors associated with data quality. Hence, all stakeholders should give all necessary support to improve data quality in routine health information systems to truly attain the goal of providing good quality data for the decision-making process by considering the identified factors.

Perceived Usefulness, Competency, and Associated Factors in Using District Health Information System Data Among District Health Managers in Tanzania: Cross-sectional Study.

BACKGROUND: Tanzania introduced District Health Information Software (version 2; DHIS2) in 2013 to support existing health management information systems and to improve data quality and use. However, to achieve these objectives, it is imperative to build human resource capabilities to address the challenges of new technologies, especially in resource-constrained countries. OBJECTIVE: This study aimed to determine the perceived usefulness, competency, and associated factors in using DHIS2 data among district health managers (DHMs) in Tanzania. METHODS: This descriptive cross-sectional study used a quantitative approach, which involved using a self-administered web-based questionnaire. This study was conducted between April and September 2019. We included all core and co-opted members of the council or district health management teams (DHMTs) from all 186 districts in the country. Frequency and bivariate analyses were conducted, and the differences among categories were measured by using a chi-square test. P values of <.05 were considered significant. RESULTS: A total of 2667 (77.96%) of the expected 3421 DHMs responded, of which 2598 (97.41%) consented and completed the questionnaires. Overall, the DHMs were satisfied with DHIS2 (2074/2596, 79.83%) because of workload reduction (2123/2598, 81.72%), the ease of learning (1953/2598, 75.17%), and enhanced data use (2239/2598, 86.18%). Although only half of the managers had user accounts (1380/2598, 53.12%) and were trained on DHIS2 data analysis (1237/2598, 47.61%), most claimed to have average to advanced skills in data validation (1774/2598, 68.28%), data visualization (1563/2598, 60.16%), and DHIS2 data use (1321/2598, 50.85%). The biggest challenges facing DHMs included the use of a paper-based system as the primary data source (1890/2598, 72.75%) and slow internet speed (1552/2598, 59.74%). Core members were more confident in using DHIS2 compared with other members (P=.004), whereas program coordinators were found to receive more training on data analysis and use (P=.001) and were more confident in using DHIS2 data compared with other DHMT members (P=.001). CONCLUSIONS: This study showed that DHMs have appreciable competencies in using the DHIS2 and its data. However, their skill levels have not been commensurate with the duration of DHIS2 use. This study recommends improvements in the access to and use of DHIS2 data. More training on data use is required and should involve using cost-effective approaches to include both the core and noncore members of the DHMTs. Moreover, enhancing the culture and capacity of data use will ensure the better management and accountability of health system performance.

Machine learning-based demand forecasting in cancer palliative care home hospitalization.

OBJECTIVE: To develop an effective Management Information System (MIS) that is empowered by predictive models that can forecast the demand of end-stage cancer home hospitalized patients in individual and population levels, and help palliative care service systems operate smoothly where the demand is highly fluctuating, resources are limited, expensive, and hardly adjustable in a short time, and the backlog and shortage costs are high. METHOD: Inspired by real problems faced by a palliative care center providing various medical, nursing, psychological, and social services in a home-based setting, two Long Short-Term Memory (LSTM) based deep learning models are proposed for demand forecasting at both individual and population levels. The individual-level model can predict the type and time of the next service required for a specific patient with a given demographic and health profile, and the population-level model helps with the prediction of next week's demand for various services in a center supporting a specific patient population. Predicted demand informs on optimal resource and operations plan through a well designed MIS. RESULTS: Experiments were conducted on a dataset consisting of more than 4000 cancer patients with a Palliative Performance Scale (PPS) of 40 and below discharged from hospital to home under a national palliative care center's home hospitalization service in Iran from September 2012 to July 2019. The models outperformed conventional time-series forecasting methods where applicable. Results indicate that the proposed models were capable of forecasting patients' demand with astonishing performances both individually and on larger scales. CONCLUSION: Intelligent demand forecasting can help palliative care home hospitalization systems to overcome the challenge of progressive demand growth when a considerable portion of patients are approaching death, followed by a sudden drop in demand when those patients pass away. It helps to improve resource utilization and quality of care concurrently.

Direct financial assistance for improved maternal and child health data: a pilot study supporting the health management information system in Malawi.

BACKGROUND: The health management information system (HMIS) is an integral component of a strong health care system. Despite its importance for decision-making, the quality of HMIS data remains of concern in low- and middle-income countries. To address challenges with the quality of maternal and child health (MCH) data gathered within Malawi's HMIS, we conducted a pilot study evaluating different support modalities to district-level HMIS offices. We hypothesized that providing regular, direct financial assistance to HMIS offices would enable staff to establish strategies and priorities based on local context, resulting in more accurate, timely, and complete MCH data. METHODS: The pilot intervention was implemented in Mwanza district, while Chikwawa, Neno, and Ntchisi districts served as control sites given support received from other institutions. The intervention consisted of providing direct financial assistance to Mwanza's HMIS office following the submission of detailed budgets and lists of planned activities. In the control districts, we performed interviews with the HMIS officers to track the HMIS-related activities. We evaluated the intervention by comparing data quality between the post- and pre-intervention periods in the intervention and control districts. Additionally, we conducted interviews with Mwanza's HMIS office staff to determine the acceptability and appropriateness of the intervention. RESULTS: Following the 10-month intervention period, we observed improvements in MCH data quality in Mwanza. The availability and completeness of MCH data collected in the registers increased by 22 and 18 percentage points, respectively. The consistency of MCH data between summary reports and electronic HMIS also improved. In contrast, 2/3 control districts noted minimal changes or reductions in data quality after 10 months. The qualitative interviews confirmed that, despite some challenges, the intervention was well received by the participating HMIS office. HMIS staff preferred our strategy to other conventional strategies that fail to give them the independence to make decisions. CONCLUSIONS: This pilot intervention demonstrated an alternative approach to support HMIS offices in their daily efforts to improve data quality. Given the Ministry of Health's (MoH) interest in strengthening its HMIS, our intervention provides a strategy that the MoH and local and international partners could consider to rapidly improve HMIS data with minimal oversight.

Prevalence of inappropriate prescribing in complex chronic patients: Time trends in a health department of Valencia, Spain (2015-2019).

BACKGROUND AND OBJECTIVE: Inappropriate prescribing (IP) is an important cause of health problems among elderly and complex chronic patients (CCPs). OBJECTIVE: Surveillance of IP prevalence among elderly and CCPs in a health department. IP time trends across the period 2015-2019. METHOD: Descriptive population-based study. SETTING: 'València-Clínic-Malvarrosa' Health Department, Valencia, Spain. PERIOD: 2015-2019. SUBJECTS: Complete set of CCPs in the department, defined by clinical risk groups. Number of CCPs (annual average in the period): 9102 (75% ≥65 years of age). IP was measured using an indicator consisting of 13 specific types of prescriptions defined as inappropriate. ANALYSES: frequencies and time trends, both overall and by specific type. RESULTS: Overall prevalence of IP ranged from 0.276 (2015) to 0.289 (2018) per patient, without time trend. The most frequent inappropriate prescription was type 1: "≥75 years of age with inappropriate medication", which showed a stable rate across the period. Some types of inappropriate prescriptions displayed favourable decreasing time trends, while others showed no change or an unfavourable trend (i.e., joint prescription of absorbents and urinary antispasmodics). CONCLUSIONS: IP prevalence is a serious and persistent problem among the elderly and CCPs, especially in the oldest. It is therefore necessary its continuous surveillance (overall and by specific types of prescription). As well as interventions to optimise prescribing, thus improving the quality and efficiency of care for the elderly and CCPs.

Perform the Regulatory Process: A National Approach for Evaluation of the Pre-Hospital Emergency Information System in I.R. Iran.

Evaluation of Emergency Medical Services Management Information System (EMSIS) makes it possible to assess the extent to which the objectives of supporting of healthcare delivery services. This paper presents an overview of the regulatory process in prehospital EMS electronic data registration and provides a minimum data set for the purpose of developing such a care system on a national scale. It further offers an evaluation framework for such systems.

Adjustment of family planning service statistics reports to support decision-making at central and governorate level, Egypt.

BACKGROUND: The Ministry of Health and Population (MOHP)-Family Planning Sector (FPS) has a strong management information system (MIS) that allows the flow of data from MOHP-FP clinics, health districts, and governorates up to the central level. Yet, family planning (FP) quarterly reports issued at the central level are presented as database/spreadsheet software documents. These data are not used to provide indicators or information that aid in decision-making or the tracking of FP services over time. The objective of the study is to organize data in the database, develop key performance indicators, and design FP reports and policy briefs. METHODS: The study is operations research that is driven by published data derived from MOHP-FP sector-head, and 2014 service statistics quarterly hardcopy reports. The information was entered into an excel program, and 15 key performance indicators (KPIs) were calculated and used to rank Egypt's 27 governorates. We developed an annual FP report form, settled tables, and colored graphs that are liable to rank the governorates from best to least favorable. RESULTS: The quarterly data sheets issued by the MOHP-FP sector were organized for the quarters, and one annual sheet was developed with the organization of Egypt's Governorates into 4 specific regions, with each governorate having a fixed position in all reports. The key performance indicators were as follows: percent of clients aged 35 and up; percent of clients with fewer than three children; proportion of current FP users by method; percent of clients reported as first-time clients; percent of clients defined as new clients (non-FP users and FP discontinuers); and contraceptive coverage rate, i.e., percent coverage of married women of reproductive age with dispensed FP methods expressed as couple years. CONCLUSION: MOHP-FP sector service statistics data could be used for the development of fifteen key performance indicators. Having those indicators at governorate, district, and central levels in quarterly and annual reports and their communication with decision-makers at all levels and their tracking overtime will guide them to timely decision-making for improving performance in FP services at all levels.

Development and application of emergency management information systems for medical radiation / 中国辐射卫生

High-energy radiation derived from X-ray, γ-ray, neutrons, and other radioisotopes has been widely used for disease diagnosis and treatmentin clinical practice. Notably, high-energy radiation has been proven to increase the cure rate, prolong the survival time, and improve the quality of life among patients with malignant tumors. However, radiation poses huge threats to human health and life. Establishment of effective emergency management information systems for medical radiation is therefore of great significance to evaluate the radiation safety, predict the leakage of radioactive materials, and propose effective responses. This review summarizes the development and application of currently main emergency management information systems for medical radiation, so as to provide a reference for the establishment of sensitive and effective hospital-based radiation emergency management information systems.