Public health delivery in the information age: the role of informatics and technology

Lessons Learned From Implementation of Mpox Surveillance During an Outbreak Response in Tennessee, 2022

OBJECTIVES

Mpox surveillance was integral during the 2022 outbreak response. We evaluated implementation of mpox surveillance in Tennessee during an outbreak response and made recommendations for surveillance during emerging infectious disease outbreaks.

METHODS

To understand surveillance implementation, system processes, and areas for improvement, we conducted 8 semistructured focus groups and 7 interviews with 36 health care, laboratory, and health department representatives during September 9-20, 2022. We categorized and analyzed session transcription and notes. We analyzed completeness and timeliness of surveillance data, including 349 orthopoxvirus-positive laboratory reports from commercial, public health, and health system laboratories during July 1-August 31, 2022.

RESULTS

Participants described an evolving system and noted that existing informatics platforms inefficiently supported iterations of reporting requirements. Clear communication, standardization of terminology, and shared, adaptable, and user-friendly informatics platforms were prioritized for future emerging infectious disease surveillance systems. Laboratory-reported epidemiologic information was often incomplete; only 55% (191 of 349) of reports included patient address and telephone number. The median time from symptom onset to specimen collection was 5 days (IQR, 3-6 d), from specimen collection to laboratory reporting was 3 days (IQR, 1-4 d), from laboratory reporting to patient interview was 1 day (IQR, 1-3 d), and from symptom onset to patient interview was 9 days (IQR, 7-12 d).

CONCLUSIONS

Future emerging infectious disease responses would benefit from standardized surveillance approaches that facilitate rapid implementation. Closer collaboration among informatics, laboratory, and clinical partners across jurisdictions and agencies in determining system priorities and designing workflow processes could improve flexibility of the surveillance platform and completeness and timeliness of laboratory reporting. Improved timeliness will facilitate public health response and intervention, thereby mitigating morbidity.

FACEmemory®, an Innovative Online Platform for Episodic Memory Pre-Screening: Findings from the First 3,000 Participants

BACKGROUND

The FACEmemory® online platform comprises a complex memory test and sociodemographic, medical, and family questions. This is the first study of a completely self-administered memory test with voice recognition, pre-tested in a memory clinic, sensitive to Alzheimer's disease, using information and communication technologies, and offered freely worldwide.

OBJECTIVE

To investigate the demographic and clinical variables associated with the total FACEmemory score, and to identify distinct patterns of memory performance on FACEmemory.

METHODS

Data from the first 3,000 subjects who completed the FACEmemory test were analyzed. Descriptive analyses were applied to demographic, FACEmemory, and medical and family variables; t-test and chi-square analyses were used to compare participants with preserved versus impaired performance on FACEmemory (cut-off = 32); multiple linear regression was used to identify variables that modulate FACEmemory performance; and machine learning techniques were applied to identify different memory patterns.

RESULTS

Participants had a mean age of 50.57 years and 13.65 years of schooling; 64.07% were women, and 82.10% reported memory complaints with worries. The group with impaired FACEmemory performance (20.40%) was older, had less schooling, and had a higher prevalence of hypertension, diabetes, dyslipidemia, and family history of neurodegenerative disease than the group with preserved performance. Age, schooling, sex, country, and completion of the medical and family history questionnaire were associated with the FACEmemory score. Finally, machine learning techniques identified four patterns of FACEmemory performance: normal, dysexecutive, storage, and completely impaired.

CONCLUSIONS

FACEmemory is a promising tool for assessing memory in people with subjective memory complaints and for raising awareness about cognitive decline in the community.

Topics Included in Health Literacy Studies in Asia: A Systematic Review

The study aimed to review general and specific health literacy studies in different countries in Asia to understand the progress of health literacy researches in the region. English-published studies with quantitative measurements of health literacy were collected through a systematic search in PubMed, Cochrane Library, Embase, and Web of Science, without publication dates limitation. A total of 156 articles on general health literacy, oral, mental, disease-specific health literacy, and eHealth literacy were collected. General health literacy was the most covered topic in 89 articles, followed by eHealth Literacy. Health literacy studies have been conducted in 16 countries and have been increasingly concerned in most of the countries in Asia. China had the largest number of articles, followed by Taiwan. Four studies had participants from more than one country. Education, age, health status, incomes, and living/residential area were significantly associated with health literacy levels in 156 studies, with the prevalence of 55.8%, 28.2%, 20.5%, 17.9%, and 10.9%, respectively. Lower health literacy was related to poorer health outcomes or lower quality of life in 71 studies.

Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study

BACKGROUND

Experience-based knowledge and value considerations of health professionals, citizens, and patients are essential to formulate public health and clinical guidelines that are relevant and applicable to medical practice. Conventional methods for incorporating such knowledge into guideline development often involve a limited number of representatives and are considered to be time-consuming. Including experiential knowledge can be crucial during rapid guidance production in response to a pandemic but it is difficult to accomplish.

OBJECTIVE

This proof-of-concept study explored the potential of artificial intelligence (AI)-based methods to capture experiential knowledge and value considerations from existing data channels to make these insights available for public health guideline development.

METHODS

We developed and examined AI-based methods in relation to the COVID-19 vaccination guideline development in the Netherlands. We analyzed Dutch messages shared between December 2020 and June 2021 on social media and on 2 databases from the Dutch National Institute for Public Health and the Environment (RIVM), where experiences and questions regarding COVID-19 vaccination are reported. First, natural language processing (NLP) filtering techniques and an initial supervised machine learning model were developed to identify this type of knowledge in a large data set. Subsequently, structural topic modeling was performed to discern thematic patterns related to experiences with COVID-19 vaccination.

RESULTS

NLP methods proved to be able to identify and analyze experience-based knowledge and value considerations in large data sets. They provide insights into a variety of experiential knowledge that is difficult to obtain otherwise for rapid guideline development. Some topics addressed by citizens, patients, and professionals can serve as direct feedback to recommendations in the guideline. For example, a topic pointed out that although travel was not considered as a reason warranting prioritization for vaccination in the national vaccination campaign, there was a considerable need for vaccines for indispensable travel, such as cross-border informal caregiving, work or study, or accessing specialized care abroad. Another example is the ambiguity regarding the definition of medical risk groups prioritized for vaccination, with many citizens not meeting the formal priority criteria while being equally at risk. Such experiential knowledge may help the early identification of problems with the guideline's application and point to frequently occurring exceptions that might initiate a revision of the guideline text.

CONCLUSIONS

This proof-of-concept study presents NLP methods as viable tools to access and use experience-based knowledge and value considerations, possibly contributing to robust, equitable, and applicable guidelines. They offer a way for guideline developers to gain insights into health professionals, citizens, and patients' experience-based knowledge, especially when conventional methods are difficult to implement. AI-based methods can thus broaden the evidence and knowledge base available for rapid guideline development and may therefore be considered as an important addition to the toolbox of pandemic preparedness.

Timeliness and completeness of monthly disease surveillance data reporting, Uganda, 2020-2021

Introduction

timely and complete reporting of routine public health information about diseases and public health events are important aspects of a robust surveillance system. Although data on the completeness and timeliness of monthly surveillance data are collected in the District Health Information System-2 (DHIS2), they have not been routinely analyzed. We assessed completeness and timeliness of monthly outpatient department (OPD) data, January 2020-December 2021.

Methods

we analyzed secondary data from all the 15 regions and 146 districts of Uganda. Completeness was defined as the number of submitted reports divided by the number of expected reports. Timeliness was defined as the number of reports submitted by the deadline (15th day of the following month) divided by reports received. Completeness or timeliness score of <80% was regarded incomplete or untimely.

Results

overall, there was good general performance with the median completeness being high in 2020 (99.5%; IQR 97.8-100%) and 2021 (100%; IQR 98.7-100%), as was the median timeliness (2020; 82.8%, IQR 74.6-91.8%; 2021, 94.9%, IQR 86.5-99.1%). Kampala Region was the only region that consistently failed to reach ≥ 80% OPD timeliness (2020: 44%; 2021: 65%). Nakasongola was the only district that consistently performed poorly in the submission of timely reports in both years (2020: 54.4%, 2021: 58.3%).

Conclusion

there was an overall good performance in the submission of complete and timely monthly OPD reports in most districts and regions in Uganda. There is a need to strengthen the good reporting practices exhibited and offer support to regions, districts, and health facilities with timeliness challenges.

Digital Biobanking and Big Data as a New Research Tool: A Position Paper

Big data analytics in medicine is driving significant change, as it offers vital information for improving functions, developing cutting-edge solutions and overcoming inefficiencies. With the right archiving and analysis tools, all players in the healthcare system, from hospitals to patients and from medical personnel to the pharmaceutical industry, can yield numerous benefits. Therefore, to analyze and interpret these analytics effectively, so that they can be useful for the advancement of scientific knowledge, we require information sharing, specific skills, training, integration between all system players, unique infrastructures and security. All these characteristics will make it possible to establish and harmonize real big data biobanks, for which it will be appropriate to consider new forms of governance compared to those traditionally conceived for large-sample biobanks.

Public health nursing workforce and learning needs: A national sample survey analysis

OBJECTIVES

Generate national estimates of the public health nursing workforce's (1) demographic and work characteristics and (2) continuing education learning needs in the United States.

DESIGN

Secondary data analysis of the 2018 National Sample Survey of Registered Nurses.

SAMPLE

Total 7352 of the 50,273 survey respondents were categorized as public health nurses (PHNs), representing an estimated 467,271 national workforce.

MEASUREMENTS

Survey items for demographics, practice setting, training topics, and language(s) spoken fluently were analyzed.

RESULTS

Workforce demographic characteristics are included. Mental health training was the most frequently endorsed topic by PHNs, followed by patient-centered care and evidence-based care. Training topic needs vary by practice setting.

CONCLUSIONS

Results here can be used as a needs assessment for national public health nursing professional development and education initiatives. Further research is needed to refine and survey a nationally representative sample in a manner meaningful to public health nursing practice.

Development and Application Evaluation of a Nursing Simulation Teaching Information System Based on Hospital Information Systems

BACKGROUND

The extensive application of hospital information systems in the current information-driven era suggests that nursing education should focus on information education.

METHODS

The newly developed hospital information system was used and evaluated by 544 students to explore the feasibility and necessity of such applications for teaching.

RESULTS

Overall, 97.1% of the students expressed satisfaction, and 96.0% supported simulated information education for nursing. The usability was good, with the system receiving a usability score of 72.625 ± 13.0907. The junior students had a higher score than the sophomores regarding system availability, and the difference was statistically significant.

CONCLUSIONS

Students generally had a high degree of satisfaction with the simulated information nursing education system and highly approved of the teaching method. However, the system needs to be upgraded.

Streamlined pediatric anxiety program for school mental health services

There needs to be serious transformation of evidence-based interventions (EBIs) into real-world solutions; otherwise, EBIs will never achieve the intended public health impact. In a randomized trial, we reported effects of a redesigned anxiety program. Herein, we described the redesign process that led to the program. Survey data revealed provider preferences for school mental health anxiety services. Focus groups and prototype feedback sessions revealed service barriers to uptake, implementation, and sustainability along with corresponding enabling strategies. Prototype feedback sessions also focused on refinement and fine-tuning of the redesign. In the end, traditional EBI strategies were transformed and packaged into six lessons, lasting 20-30 minutes each, and amenable to delivery in small-group format. The redesign achieved the intended purpose of retaining elements from cognitive and behavior therapy and social skills training for the target population of the intervention (e.g., 3rd to 5th graders with heterogeneous anxiety problems - identified and referred). The streamlined EBI is accessible from PBS LearningMedia™ - a service that hosts public, research-based, and school-ready materials.

ICT in disaster management context: a descriptive and critical review

Disasters cause catastrophic events that lead to fatalities, damage, and social disturbance. Hydrological and meteorological disasters have an enormous impact worldwide. The impact of IT (Information Technology) in managing these disasters has been neglected. This study is intended to reveal the worldwide research status of hydro-meteorological disasters and various ITs in hazard management through a descriptive and critical review of existing literature. The bibliographic data is collected from Scopus and PATSTAT from 2010 to 2019. This study provides a basic framework for data acquisition, literature selection, and analysis of published documents. A descriptive review of selected literature is conducted to reveal the growth of publications w.r.t. year-wise reported hazards, citation analysis of published documents, patent analysis, geographical status of different hazards research, most influential journals, institutions, and documents. Further, critical review is conducted to analyze the environmental issues, recent developments in ICT-based disaster management, resilience concerns, key research areas, and challenges to implement ICT in disaster management. The present analysis depicts the importance of information technology in disaster management and offers guidance for future disaster management work supported by IT.

Observing, spanning and shifting boundaries: working with data in non-clinical practice

Purpose

Effective use of data across public health organisations (PHOs) is essential for the provision of health services. While health technology and data use in clinical practice have been investigated, interactions with data in non-clinical practice have been largely neglected. The purpose of this paper is to consider what constitutes data, and how people in non-clinical roles in a PHO interact with data in their practice.

Design/methodology/approach

This mixed methods study involved a qualitative exploration of how employees of a large PHO interact with data in their non-clinical work roles. A quantitative survey was administered to complement insights gained through qualitative investigation.

Findings

Organisational boundaries emerged as a defining issue in interactions with data. The results explain how data work happens through observing, spanning and shifting of boundaries. The paper identifies five key issues that shape data work in relation to boundaries. Boundary objects and processes are considered, as well as the roles of boundary spanners and shifters.

Research limitations/implications

The study was conducted in a large Australian PHO, which is not completely representative of the unique contexts of similar organisations. The study has implications for research in information and organisational studies, opening fields of inquiry for further investigation.

Practical implications

Effective systems-wide data use can improve health service efficiencies and outcomes. There are also implications for the provision of services by other health and public sectors.

Originality/value

The study contributes to closing a significant research gap in understanding interactions with data in the workplace, particularly in non-clinical roles in health. Research analysis connects concepts of knowledge boundaries, boundary spanning and boundary objects with insights into information behaviours in the health workplace. Boundary processes emerge as an important concept to understand interactions with data. The result is a novel typology of interactions with data in relation to organisational boundaries.

An Integrated Community-Based Blood Pressure Telemonitoring Program - A Population-Based Observational Study

BACKGROUND

Home blood pressure telemonitoring (BPT) has been shown to improve blood pressure control. A community-based BPT program (the Health+ program) was launched in 2015 in an urban area around a medical center.

OBJECTIVES

To examine the impact of the BPT program on the use of medical resources.

METHODS

We conducted a retrospective propensity-score (PS)-matched observational cohort study using the National Health Insurance Research Database (NHIRD) 2013-2016 in Taiwan. A total of 9,546 adults with a high risk of cardiovascular disease participated in the integrated BPT program, and 19,082 PS-matched controls were identified from the NHIRD. The primary and secondary outcome measures were changes in 1-year emergency department visit rate, hospitalization rate, duration of hospital stay, and healthcare costs.

RESULTS

The number of emergency department visits in the Health+ group significantly reduced (0.8 to 0.6 per year vs. 0.8 to 0.9 per year, p < 0.0001) along with a significant decrease in hospitalization rate (43.7% to 21.3% vs. 42.7% to 35.3%, p < 0.001). The duration of hospital stay was also lower in the Health+ group (4.3 to 3.3 days vs. 5.3 to 6.5 days, p < 0.0001). The annual healthcare costs decreased more in the Health+ group (USD 1642 to 1169 vs. 1466 to 1393 per year, p < 0.001), compared with the controls. Subgroup analysis of the Health+ group revealed that the improvements in outcomes were significantly greater among those who were younger and had fewer comorbidities, especially without diabetes or hypertension.

CONCLUSIONS

A community-based integrated BPT program may improve patients' health outcomes and reduce healthcare costs.

The impact of interprofessional communication through ICT on health outcomes of older adults receiving home care in Japan – A retrospective cohort study

Background

Information communication technology (ICT) is crucial to modern communication and information sharing. Effective interprofessional collaboration is essential in the care of elderly people. However, little is known about the effects of ICT on care provision for elderly people in a home setting. This retrospective cohort study examines the impact of interprofessional collaboration using ICT on the health outcomes of elderly home care patients.

Methods

The Team^® mobile application promotes cooperation in local medical health care. It enables providers to obtain and share patient information within a single, cloud‐based platform. We collected and analyzed data from 554 patients from Nagaoka (Niigata prefecture, Japan) who received home care services from 2015 to 2020. We calculated the cumulative hazard ratio (HR) of death or admission to a hospital or nursing home for patients whose information was shared among different professions using the platform, and for those whose information was not shared. We used a Cox proportional hazards model, adjusted for covariates, and applied propensity score matching.

Results

The average age of the study population was 83.5 years; the median follow‐up period was 579.0 days. The risk of death or admission to a hospital or nursing home significantly decreased in the information‐shared group, compared with the control group (adjusted HR: 0.47 [p < 0.01]). Significance remained after propensity score matching (HR: 0.58; p = 0.01).

Conclusions

Interprofessional collaboration using ICT may reduce the risk of death or admission to a hospital or nursing home among elderly home care patients in Japan.

Climate Change, Human Health, and Health Informatics: A New View of Connected and Sustainable Digital Health

The connection between human health and climate change has had a scientific basis for many decades. However, little attention has been directed to applying the science of health informatics to this aspect of health and healthcare until recently. This paper briefly reviews examples of recent international work on two fronts: to consider how health informatics can reduce the carbon footprint of healthcare, and to consider how it can integrate new kinds of data for insights into the human health impacts of climate change. Health informatics has two principles of fundamental relevance to this work - connectedness, in other words linking and integrating health data from multiple sources; and sustainability, in other words making healthcare overall more efficient and effective. Deepening its commitment to these principles will position health informatics as a discipline and a profession to support and guide technological advances that respond to the world's climate health challenges.

Managing the Digital Disruption Associated with COVID-19-Driven Rapid Digital Transformation in Brisbane, Australia

BACKGROUND

The COVID-19 pandemic has forced rapid digital transformation of many health systems. These innovations are now entering the literature, but there is little focus on the resulting disruption.

OBJECTIVE

We describe the implementation of digital innovations during the COVID-19 response of Australia's largest health service, Metro North (in Brisbane, Queensland), the challenges of the subsequent digital disruption, how these were managed, and lessons learned.

METHODS

Prior to the COVID-19 pandemic, the Australian state of Queensland created the Queensland Digital Clinical Charter, which provides guidance for the development of digital health programs. The guidelines utilize three horizons: digitizing workflows, leveraging digital data to transform clinical care, and reimagining new and innovative models of care. The technical response to COVID-19 in Metro North is described across these horizons. The rapid digital response caused significant disruption to health care delivery; management of the disruption and the outcomes are detailed. This is a participatory action research project, with members of the research team assisting with leading the implementation project informing the case report content.

RESULTS

Several digital innovations were introduced across Metro North during the COVID-19 response. This resulted in significant disruption creating digital hypervigilance, digital deceleration, data discordance, and postdigital "depression." Successful management of the digital disruption minimized the negative effects of rapid digital transformation, and contributed to the effective management of the pandemic in Queensland.

CONCLUSION

The rapid digital transformation in Metro North during COVID-19 was successful in several aspects; however, ongoing challenges remain. These include the need to improve data sharing and increase interoperability. Importantly, the innovations need to be evaluated to ensure that Metro North can capitalize on these changes and incorporate them into long-term routine practice. Moving forward, it will be essential to manage not only the pandemic, but increasingly, the resultant digital disruption.

COVID-19, Race/Ethnicity, and Age: the Role of Telemedicine to Close the Gaps on Health Disparities

The novel COVID-19 outbreak is a major public health challenge that quickly turned into an economic recession of great proportions. This pandemic poses a trade-off between health and the economy where social distancing, quarantines, and isolation shut down demand and supply chains across the USA. This paper analyzes the impact of COVID-19 on illness and death among older adults and communities of color with low socioeconomic status in New York City. To achieve this goal, fractional logit models are used to capture changes in the novel virus’ morbidity and mortality rates at the neighborhood level. Median income, race/ethnicity, age, household crowding, and socially interactive employment explained the disproportionate exposure and fatalities across the city. We also employ a variable related to telehealth/telemedicine to sustain that technology goods along with government intervention as a provider of social goods can ameliorate existing health disparities. There is a need for evidence-based data on the economic costs and social benefits of COVID-19 relief programs.

The role of undergraduate medical students training in respect for patient confidentiality

BACKGROUND

Encouraging professional integrity is vital for providing a standard of excellence in quality medical care and education and in promoting a culture of respect and responsibility. The primary objective of this work consisted of studying the relationship of medical students to the right to patient privacy in Spain, specifically by analysing the conditions for accessing patient clinical histories (CHs).

METHODS

A cross-sectional study was conducted based on a questionnaire sent by e-mail to final-year students at 41 Spanish universities. It had 14 multiple choice and closed questions framed in 3 large blocks. The first question addressed basic general knowledge issues on the right to privacy and the obligation for confidentiality. The two remaining blocks were made up of questions directed towards evaluating the frequency with which certain requirements and action steps related to students attending patients were performed and regarding the guarantees associated with accessing and handling patient CHs both on paper and in the Electronic Medical Record.

RESULTS

A total of 245 valid replies were considered. A total of 67.8 % of participants were women, with an average age of 24.05 ± 3.49 years. Up to 90.6 % were aware that confidentiality affected the data in CHs, although 43.3 % possessed non-anonymized photocopies of patient clinical reports outside the healthcare context, and only 49.8 % of the students were always adequately identified. A total of 59.2 % accessed patient CHs on some occasions by using passwords belonging to healthcare professionals, 77.2 % of them did not have the patients' express consent, and 71.9 % accessed a CH that was not anonymised.

CONCLUSIONS

The role of healthcare institutions and universities is considered to be fundamental in implementing educational measures regarding the risks and ethical and legal problems arising from the use of CHs among professionals and students. A thorough study of medical ethics is needed through the analysis of clinical cases and direct exposure to situations in which the patient's confidentiality is questioned.

Identifying Opportunities to Strengthen the Public Health Informatics Infrastructure: Exploring Hospitals' Challenges with Data Exchange

Policy Points Even though most hospitals have the technological ability to exchange data with public health agencies, the majority continue to experience challenges. Most challenges are attributable to the general resources of public health agencies, although workforce limitations, technology issues such as a lack of data standards, and policy uncertainty around reporting requirements also remain prominent issues. Ongoing funding to support the adoption of technology and strengthen the development of the health informatics workforce, combined with revising the promotion of the interoperability scoring approach, will likely help improve the exchange of electronic data between hospitals and public health agencies.

CONTEXT

The novel coronavirus 2019 (COVID-19) pandemic has highlighted significant barriers in the exchange of essential information between hospitals and local public health agencies. Thus it remains important to clarify the specific issues that hospitals may face in reporting to public health agencies to inform focused approaches to improve the information exchange for the current pandemic as well as ongoing public health activities and population health management.

METHODS

This study uses cross-sectional data of acute-care, nonfederal hospitals from the 2017 American Hospital Association Annual Survey and Information Technology supplement. Guided by the technology-organization-environment framework, we coded the responses to a question regarding the challenges that hospitals face in submitting data to public health agencies by using content analysis according to the type of challenge (i.e., technology, organization, or environment), responsible entity (i.e., hospital, public health agency, vendor, multiple), and the specific issue described. We used multivariable logistic and multinomial regression to identify characteristics of hospitals associated with experiencing the types of challenges.

FINDINGS

Our findings show that of the 2,794 hospitals in our analysis, 1,696 (61%) reported experiencing at least one challenge in reporting health data to a public health agency. Organizational issues were the most frequently reported type of challenge, noted by 1,455 hospitals. The most common specific issue, reported by 1,117 hospitals, was the general resources of public health agencies. An advanced EHR system and participation in a health information exchange both decreased the likelihood of not reporting experiencing a challenge and increased the likelihood of reporting an organizational challenge.

CONCLUSIONS

Our findings inform policy recommendations such as improving data standards, increasing funding for public health agencies to improve their technological capabilities, offering workforce training programs, and increasing clarity of policy specifications and reporting. These approaches can improve the exchange of information between hospitals and public health agencies.