OBJECTIVES

Timely access to appropriate levels of care is essential for improving maternal, newborn,
and child health outcomes. To address persistent service delivery fragmentation and strengthen referral systems, the Philippine Department of Health issued Administrative Order 2020-0019 to guide the design of Health Care Provider Networks (HCPNs) under the Universal Health Care Act of 2019. This study assessed the extent to which sixteen municipalities across four provinces in Eastern Visayas comply with the HCPN service delivery guidelines in the context of maternal and newborn care.

The study employed a descriptive cross-sectional mixed-methods design, utilizing structured facility checklists to assess compliance with HCPN standards. Qualitative data were gathered through key informant interviews and focus group discussions with purposively selected stakeholders—decision makers, health personnel, and mothers—to contextualize findings. A three-lever framework for integrated care (policy, operational, and cross- cutting) guided the analysis

The findings revealed significant gaps between the current capacities of study health facilities and the requirements outlined in the HCPN guidelines. Major gaps included (1) weak cooperative governance mechanisms to support network-wide coordination; (2) limited systematic linkages between facilities, including fragmented referral protocols and non-interoperable health information systems; (3) inadequate investments in infrastructure, health human resources, and medical commodities; and (4) absence of performance monitoring systems across HCPNs.

BACKGROUND AND OBJECTIVE

There are mixed reports on nurses’ satisfaction with electronic medical records (EMR) in literature, and facilitators and barriers to its adoption were reported frequently. A Philippine public tertiary hospital developed an EMR to facilitate remote access to patient charts outside its COVID-designated areas during the pandemic. This study aims to assess nurses’ satisfaction with EMR use in order to improve their user experience. The Delone and McLean Information System (D&M IS) Success Model was used as its framework. This offers a unique perspective to EMR adoption by accounting for the effects of the pandemic.

A descriptive, cross-sectional, quantitatively driven, concurrent mixed-methods design was employed. Nurses from the hospital were recruited for the survey (n=353) and the focus group discussions (n=14). Ethical approval was obtained prior to its conduct. Analysis was done through descriptive statistics, multiple linear regression, and thematic analysis. Data were integrated to appreciate the differences in their experiences from the point of adoption up to their current experiences.

Nurses initially faced challenges with the EMR when it was introduced, but improvements and continuous use have led to their current high satisfaction. Despite mandatory use and high usage scores, some daily tasks are still done manually. Use, length of service, number of patients handled, designation, and area of assignment were found to be associated with satisfaction. Thematic analysis highlighted several adoption prerequisites in this setup, including assessment of user competence and experience, and the provision of training, structural necessities, and organizational support.

This study found high use and satisfaction scores, aligning with the D&M IS Success Model, despite initial adoption challenges. Recommendations include maintaining high EMR use and improving efficiency, communication, and collaboration. Emphasis was placed on the provisions of better training and continuous feedback gathering.

Background and Objective: There are mixed reports on nurses’ satisfaction with electronic medical records (EMR) in literature, and facilitators and barriers to its adoption were reported frequently. A Philippine public tertiary hospital developed an EMR to facilitate remote access to patient charts outside its COVID-designated areas during the pandemic. This study aims to assess nurses’ satisfaction with EMR use in order to improve their user experience. The Delone and McLean Information System (D&M IS) Success Model was used as its framework. This offers a unique perspective to EMR adoption by accounting for the effects of the pandemic. Methods: A descriptive, cross-sectional, quantitatively driven, concurrent mixed-methods design was employed. Nurses from the hospital were recruited for the survey (n=353) and the focus group discussions (n=14). Ethical approval was obtained prior to its conduct. Analysis was done through descriptive statistics, multiple linear regression, and thematic analysis. Data were integrated to appreciate the differences in their experiences from the point of adoption up to their current experiences. Results: Nurses initially faced challenges with the EMR when it was introduced, but improvements and continuous use have led to their current high satisfaction. Despite mandatory use and high usage scores, some daily tasks are still done manually. Use, length of service, number of patients handled, designation, and area of assignment were found to be associated with satisfaction. Thematic analysis highlighted several adoption prerequisites in this setup, including assessment of user competence and experience, and the provision of training, structural necessities, and organizational support. Conclusions This study found high use and satisfaction scores, aligning with the D&M IS Success Model, despite initial adoption challenges. Recommendations include maintaining high EMR use and improving efficiency, communication, and collaboration. Emphasis was placed on the provisions of better training and continuous feedback gathering.
Human ; electronic health records ; health information systems ; nurses ; pandemics ; Philippines

Objectives: This study explores the potential of the HeLe Service Delivery Model, a community-based newborn hearing screening (NHS) program supported by a web-based referral system, in improving provision of hearing care services. Methods: This prospective observational study evaluated the HeLe Service Delivery Model based on records review and user perspectives. We collected system usage logs from July to October 2018 and data on patient outcomes. Semi-structured interviews and review of field reports were conducted to identify implementation challenges and facilitating factors. Descriptive statistics and content analysis were used to analyze quantitative and qualitative data, respectively. Results: Six hundred ninety-two (692) babies were screened: 110 in the RHUs and 582 in the Category A NHS hospital. Mean age at screening was 1.4±1.05 months for those screened in the RHU and 0.46±0.74 month for those in the Category A site. 47.3% of babies screened at the RHU were ≤1 month old in contrast to 86.6% in the Category A hospital. A total of 10 babies (1.4%) received a positive NHS result. Eight of these ten patients were referred via the NHS Appointment and Referral System; seven were confirmed to have bilateral profound hearing loss, while one patient missed his confirmatory testing appointment. The average wait time between screening and confirmatory testing was 17.1±14.5 days. Facilitating factors for NHS implementation include the presence of champions, early technology adopters, legislations, and capacity-building programs. Challenges identified include perceived inconvenience in using information systems, cost concerns for the patients, costly hearing screening equipment, and unstable internet connectivity. The lack of nearby facilities providing NHS diagnostic and intervention services remains a major block in ensuring early diagnosis and management of hearing loss in the community. Conclusion The eHealth-enabled HeLe Service Delivery Model for NHS is promising. It addresses the challenges and needs of community-based NHS by establishing a healthcare provider network for NHS in the locale, providing a capacity-building program to train NHS screeners, and deploying health information systems that allows for documentation, web-based referral and tracking of NHS patients. The model has the potential to be implemented on a larger scale — a deliberate step towards universal hearing health for all Filipinos.
Neonatal Screening ; Hearing Loss ; Health Information Systems ; Community Health Services ; Delivery of Health Care

Background: Health information systems (HIS) such as Electronic Medical Record (EMR) systems are essential in the integration of fragmented local health systems. Investing in HIS is crosscutting; it can address multiple interrelated health system gaps. However, public health authorities, especially those in resource-constrained communities, are often faced with the dual challenge of upgrading and digitalizing local HIS and addressing other more apparent health system gaps. Objectives: The study aimed to identify and document strategies that not only motivate policy change towards adoption of electronic HIS but also address other health system gaps. Methodology: The author, in his capacity as a local health official in a resource-constrained community, developed, implemented, and documented a social marketing strategy wherein community stakeholders were influenced to invest in an electronic medical record (EMR) system because it was shown to also have the capacity to address other priority health system gaps identified. Results: The strategy, based on situational, stakeholder, and risk analyses, prompted local governance to first invest in improving the delivery of services accredited by the national health insurance program (PhilHealth), for which reimbursements would require electronically submitted claim forms. Community stakeholders then supported the proposal to invest in an EMR system because they were persuaded that it can facilitate increased financing from PhilHealth claims reimbursements, which could be used to enable not only improvement in existing health services but to also initiate other health programs. Conclusion Social marketing using the perspective of health as an investment influenced stakeholders to invest in an EMR system.
Public Health ; Health Information Systems ; Health Communication ; Social Marketing

PURPOSE: An injury surveillance information system (ISIS) collects, analyzes, and distributes data on injuries to promote health care delivery. The present study aimed to review the data elements and functional requirements of this system. METHOD: This study was conducted in 2019. Studies related to injury surveillance system were searched from January 2000 to September 2019 via the databases of PubMed, Web of Knowledge, ScienceDirect, and Scopus. Articles related to the epidemiology of injury, population survey, and letters to the editor were excluded, while the review and research articles related to ISISs were included in the study. Initially 324 articles were identified, and finally 22 studies were selected for review. Having reviewed the articles, the data needed were extracted and the results were synthesized narratively. RESULTS: The results showed that most of the systems reviewed in this study used the minimum data set suggested by the World Health Organization injury surveillance guidelines along with supplementary data. The main functions considered for the system were injury track, data analysis, report, data linkage, electronic monitoring and data dissemination. CONCLUSION ISISs can help to improve healthcare planning and injury prevention. Since different countries have various technical and organizational infrastructures, it is essential to identify system requirements in different settings.
Datasets as Topic ; Delivery of Health Care ; Health Information Systems ; Health Planning ; Humans ; Public Health Surveillance ; methods ; Wounds and Injuries ; prevention & control

BACKGROUND: Current international recommendations in generating and using evidence in Health Research Priority Setting (HRPS) include the use of systematic reviews, and systematic or scientific situational analysis. In the Philippines, the Philippine National Health Research System's (PNHRS) National Guidelines for Health Research Prioritization recommends the use of either a Combined Approach Matrix (CAM) or situational analysis in generating and using evidence for HRPS. At present, there is a lack of a gold standard in generating and utilizing evidence in HRPS.

OBJECTIVE: The primary objective of this paper is to document a practical yet alternative/innovative approach on how evidence was generated and utilized in the process of HRPS as observed in the development of the National Unified Health Research Agenda (NUHRA) in the Philippines. Specifically, it identifies the types of knowledge products produced and their role in the process of health research agenda setting; how evidence was used and managed in the course of NUHRA development; and, the lessons learned from the experience.

METHODS: This case study is descriptive of the experience of generating and utilizing evidence for HRPS in the Philippines. The study utilized primary and secondary data. Knowledge Management (KM) was used as a lens to describe the process of generating and managing information for the NUHRA. Document analysis was used in comparing and aligning data with the integrated KM framework.

RESULTS: Pre-selected data were captured and created; shared and disseminated; and subsequently acquired and applied voluntarily by stakeholders during the process of HRPS. Relevant data was presented into various information products designed with a specific stakeholder in mind. Technical papers were developed to cater to national level stakeholders and focused on broad, nationally-relevant issues. Regional situational analysis reports focused on regional and local data and were designed for regional stakeholders to use during the development of Regional Unified Health Research Agenda (RUHRA). Infographics were developed to present the findings of the technical papers creatively and concisely and the NUHRA methodology and were presented to both national and regional stakeholders. The RUHRAs and the NUHRA were the outputs of the health research prioritization activities and will be made available through local and national channels of the PNHRS.

RECOMMENDATIONS: Opportunities for formalization and institutionalization of knowledge management for generating and using evidence in HRPS may be explored to address health information fragmentation across the health research system.

OBJECTIVES: A clinical data warehouse (CDW) is part of our hospital information system, and it provides user-friendly ‘data search and extraction’ interfaces for query composition. We carried out a risk factor analysis for the extended use of opioids after coronary artery bypass grafting (CABG), taking advantage of the CDW system. METHODS: From 2015 to 2017, clinical data from 461 patients who had undergone either isolated or concomitant CABG were extracted using the CDW; the extracted data included baseline patient characteristics, various examination results, and opioid prescription information. Supplementary data that could not be extracted with the CDW were collected via manual review of the electronic medical records. RESULTS: Data from a total of 447 patients were analyzed finally. The mean patient age was 66.8 ± 10.9 years, 332 patients (74%) were male, and 235 patients (53%) had diabetes. Among the 447 patients, 90 patients (20.1%) took some type of opioid at the 15th postoperative day. An oral rapid-acting agent was the most frequently used opioid (83%). In the risk factor analysis for extended opioid use, duration of operation was the only significant risk factor (odds ratio = 1.004; 95% confidence interval, 1.001–1.007; p = 0.008). CONCLUSIONS: Longer operation time was associated with the risk of extended opioid use after CABG. CDW was a helpful tool for extracting mass clinical data rapidly, but to maximize its utility, the data should be checked carefully as they are entered in the system so that post-processing can be minimized. Further refinement of the clinical data input and output interface is warranted.
Analgesics, Opioid ; Coronary Artery Bypass ; Coronary Vessels ; Database Management Systems ; Electronic Health Records ; Hospital Information Systems ; Humans ; Male ; Prescriptions ; Risk Factors

OBJECTIVES: The objective of this study was to investigate the clinical decision support (CDS) functions and digitalization of clinical documents of Electronic Medical Record (EMR) systems in Korea. This exploratory study was conducted focusing on current status of EMR systems. METHODS: This study used a nationwide survey on EMR systems conducted from July 25, 2018 to September 30, 2018 in Korea. The unit of analysis was hospitals. Respondents of the survey were mainly medical recorders or staff members in departments of health insurance claims or information technology. This study analyzed data acquired from 132 hospitals that participated in the survey. RESULTS: This study found that approximately 80% of clinical documents were digitalized in both general and small hospitals. The percentages of general and small hospitals with 100% paperless medical charts were 33.7% and 38.2%, respectively. The EMR systems of general hospitals are more likely to have CDS functions of warnings regarding drug dosage, reminders of clinical schedules, and clinical guidelines compared to those of small hospitals; this difference was statistically significant. For the lists of digitalized clinical documents, almost 93% of EMR systems in general hospitals have the inpatient progress note, operation records, and discharge summary notes digitalized. CONCLUSIONS: EMRs are becoming increasingly important. This study found that the functions and digital documentation of EMR systems still have a large gap, which should be improved and made more sophisticated. We hope that the results of this study will contribute to the development of more sophisticated EMR systems.
Appointments and Schedules ; Decision Support Systems, Clinical ; Electronic Health Records ; Health Information Exchange ; Hope ; Hospitals, General ; Humans ; Inpatients ; Insurance, Health ; Korea ; Medical Informatics ; Medical Records ; Medical Records Systems, Computerized ; Surveys and Questionnaires

OBJECTIVES: This study aimed to investigate the user experience (UX) of the New Defense Medical Information System (N-DEMIS), which was introduced in 2012 as part of an effort to improve the old system of armed forces hospitals and ultimately bring their standards up to those of civilian hospitals. METHODS: In this study, the dependent variable was the UX of N-DEMIS and was composed of usability, affect, and user value. The questionnaire comprised 41 questions: nine on general characteristics, 20 on usability, four on affect, and eight on user value. The data collection period was from April 15 to April 30, 2018. Overall, 85 responses were received; of these, three insincere responses were excluded, and the remaining 82 responses were used in the analysis. RESULTS: The overall value of Cronbach's alpha was 0.917, indicating an overall high-reliability. There was a significant difference between user value and usability, but there was no significant differences between the other pairs. We observed a significant effect on UX for length of time working in an armed forces hospital and employment type. CONCLUSIONS: The results of our survey showed an even distribution of scores across the three elements of UX, showing that no particular aspect of N-DEMIS is superior to the others in terms of user satisfaction. However, the overall UX score of around 60% indicates the need for future improvements. Rather than focusing improvements on a specific area, improvements should be spread across usability, affect, and user value.
Arm ; Data Collection ; Electronic Health Records ; Employment ; Hospital Information Systems ; Information Systems ; Personal Satisfaction ; User-Computer Interface