Characteristics of Local Health Departments Associated with Implementation of Electronic Health Records and Other Informatics Systems

Value of Electronic Health Records Measured Using Financial and Clinical Outcomes: Quantitative Study

BACKGROUND

The Health Information Technology for Economic and Clinical Health Act of 2009 was legislated to reduce health care costs, improve quality, and increase patient safety. Providers and organizations were incentivized to exhibit meaningful use of certified electronic health record (EHR) systems in order to achieve this objective. EHR adoption is an expensive investment, given the resources and capital that are invested. Due to the cost of the investment, a return on the EHR adoption investment is expected.

OBJECTIVE

This study performed a value analysis of EHRs. The objective of this study was to investigate the relationship between EHR adoption levels and financial and clinical outcomes by combining both financial and clinical outcomes into one conceptual model.

METHODS

We examined the multivariate relationships between different levels of EHR adoption and financial and clinical outcomes, along with the time variant control variables, using moderation analysis with a longitudinal fixed effects model. Since it is unknown as to when hospitals begin experiencing improvements in financial outcomes, additional analysis was conducted using a 1- or 2-year lag for profit margin ratios.

RESULTS

A total of 5768 hospital-year observations were analyzed over the course of 4 years. According to the results of the moderation analysis, as the readmission rate increases by 1 unit, the effect of a 1-unit increase in EHR adoption level on the operating margin decreases by 5.38%. Hospitals with higher readmission payment adjustment factors have lower penalties.

CONCLUSIONS

This study fills the gap in the literature by evaluating individual relationships between EHR adoption levels and financial and clinical outcomes, in addition to evaluating the relationship between EHR adoption level and financial outcomes, with clinical outcomes as moderators. This study provided statistically significant evidence (P<.05), indicating that there is a relationship between EHR adoption level and operating margins when this relationship is moderated by readmission rates, meaning hospitals that have adopted EHRs could see a reduction in their readmission rates and an increase in operating margins. This finding could further be supported by evaluating more recent data to analyze whether hospitals increasing their level of EHR adoption would decrease readmission rates, resulting in an increase in operating margins. Hospitals would incur lower penalties as a result of improved readmission rates, which would contribute toward improved operating margins.

An evaluation of the risk factors associated with implementing projects of health information technology by fuzzy combined ANP-DEMATEL

BACKGROUND

Application of a Clinical Information System (CIS) like Electronic Patient Record (EPR), PACS system and CPOE has turned into one of the most important criteria of priorities of health care systems. The aims of the clinical information system include improving the physicians' efficiency level, integrating the caring process, and expanding the fuzzy quality of the services offered to patients. Achievement of these benefits in reality is not an easy task, and there are lots of plans in this field which are doomed to failure. About 50% of the implementation plans of clinical information systems in health care organizations have failed, and this trend is significantly affecting industrial countries. Proper implementation of hospital information systems lies in identifying and assessing the relationships among the most important risk factors of fuzzy. The present study aimed to provide an applicable model for identifying, ranking and evaluating the risk factors associated with projects of clinical information technology in hospitals of Shiraz University of Medical Sciences.

METHOD

This is an applied study which evaluates the risk factors associated with implementation of clinical information technology projects in hospitals of Shiraz Medical Sciences University. The participants consisted of professionals and senior experts of clinical information technology. Fuzzy logic was used in this study. We also applied ANP-DEMATEL combined model with fuzzy procedure to provide the analytic model of the study.

RESULTS

According to the study findings, lack of top-executive supports, and unstable organizational environment were the two most important risk factors, while the main organizational factors and technology were also highly important. In addition, the factors associated with technology had the highest influence on the other studied risk factors.

CONCLUSION

Hospital authorities can benefit from this proposed model to reduce the risk of implementing the projects of clinical information technology and improve the success coefficient of the risk of such projects.

The Value of Electronic Health Records Since the Health Information Technology for Economic and Clinical Health Act: Systematic Review

Background

Electronic health records (EHRs) are the electronic records of patient health information created during ≥1 encounter in any health care setting. The Health Information Technology Act of 2009 has been a major driver of the adoption and implementation of EHRs in the United States. Given that the adoption of EHRs is a complex and expensive investment, a return on this investment is expected.

Objective

This literature review aims to focus on how the value of EHRs as an intervention is defined in relation to the elaboration of value into 2 different value outcome categories, financial and clinical outcomes, and to understand how EHRs contribute to these 2 value outcome categories.

Methods

This literature review was conducted using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The initial search of key terms, EHRs, values, financial outcomes, and clinical outcomes in 3 different databases yielded 971 articles, of which, after removing 410 (42.2%) duplicates, 561 (57.8%) were incorporated in the title and abstract screening. During the title and abstract screening phase, articles were excluded from further review phases if they met any of the following criteria: not relevant to the outcomes of interest, not relevant to EHRs, nonempirical, and non–peer reviewed. After the application of the exclusion criteria, 80 studies remained for a full-text review. After evaluating the full text of the residual 80 studies, 26 (33%) studies were excluded as they did not address the impact of EHR adoption on the outcomes of interest. Furthermore, 4 additional studies were discovered through manual reference searches and were added to the total, resulting in 58 studies for analysis. A qualitative analysis tool, ATLAS.ti. (version 8.2), was used to categorize and code the final 58 studies.

Results

The findings from the literature review indicated a combination of positive and negative impacts of EHRs on financial and clinical outcomes. Of the 58 studies surveyed for this review of the literature, 5 (9%) reported on the intersection of financial and clinical outcomes. To investigate this intersection further, the category “Value–Intersection of Financial and Clinical Outcomes” was generated. Approximately 80% (4/5) of these studies specified a positive association between EHR adoption and financial and clinical outcomes.

Conclusions

This review of the literature reports on the individual and collective value of EHRs from a financial and clinical outcomes perspective. The collective perspective examined the intersection of financial and clinical outcomes, suggesting a reversal of the current understanding of how IT investments could generate improvements in productivity, and prompted a new question to be asked about whether an increase in productivity could potentially lead to more IT investments.

Perception of physicians towards electronic prescription system and associated factors at resource limited setting 2021: Cross sectional study

Introduction

The healthcare industry is increasingly concerned about medical errors, which are the leading cause of death worldwide and also compromise patient safety. This medical error is even more serious in developing countries where healthcare is not supported by technology. Because of the traditional paper-based prescription system, Ethiopia has an overall medication prescribing error rate of 58.07% that could be avoided if an electronic prescription system was in place. Therefore, this study aims to assess physicians’ perceptions towards electronic prescription implementation.

Methods

From February 1 to April 5, 2021, an institution-based cross-sectional study was conducted among physicians working in public hospitals in the Amhara region. 384 physicians were selected using a simple random sampling method. The data was collected using a self-administered questionnaire and analysed using SPSS, version 21. To assess factors associated with perception among physicians, a binary and multivariable logistic regression analysis were performed. A P.05 value, at a 95% confidence interval, was considered statistically significant. The validity of the questionnaire was determined based on expert opinion, as well as its reliability was determined by calculating the value of Cronbach alpha (α = .78).

Results

In this study, 231 (76.5%) of study participants had a positive perception of electronic prescription. Around 70.8% had more than 5 years of computer usage experience. Nearly 90% of participants claimed that their prescriptions were legible; however, 89% believe that paper-based prescriptions are prone to error. According to multivariable logistic regression analysis, technical skill [AOR] 4.7, 95% confidence interval [CI] (1.27–17.41), good internet access (AOR 2.82, % CI 1.75–4.54), and perceived usefulness of e-prescription system (AOR 3.31, 95% CI 1.01–12.12) were significantly associated with perception.

Conclusions

The majority of respondents have a positive perception of electronic prescription. The most notable factors associated with physician perception were organizational factors, internet access, perceived usefulness of the system, and technical skill.

Assessing Public Health Workforce Informatics Competencies: A Study of 3 District Health Departments in Georgia

CONTEXT

Despite the increased recognition of the importance of having informatics-competent public health professionals, the competency level of the public health workforce in public health informatics (PHI) has not been examined extensively in the literature.

OBJECTIVE

The purpose of this study was to assess public health workforce informatics competencies in select Georgia health districts and determine the correlates of PHI proficiency.

METHODS

This study is based on a cross-sectional quantitative study design. We conducted an online self-administered survey of employees from 3 selected district health departments to assess proficiency in foundational PHI competency domains. Three hundred thirty-three respondents completed the survey, with a response rate of 32.5%. A gap score was calculated as a proxy to identify informatics training needs. A path analysis was conducted to assess the relationships among contextual factors and foundational PHI competency domains.

RESULTS

The public health employees participating in this study reported relatively high proficiency in foundational PHI competency. Psychometric testing of the competency assessment instrument revealed 2 foundational informatics competency domains-effective information technology (IT) use and effective use of information. The effective use of IT mediated the relationship between employee-level factors of age and past informatics training and the effective use of information.

CONCLUSION

The study highlights the importance of improving the ability of public health professionals to leverage IT and information to advance population health. Periodic assessment of staff PHI competencies can help proactively identify competency gaps and address needs for additional training. Short assessment tools, such as presented in this study, can be validated and used for such assessments.

Community Health Improvement Plans: An Analysis of Approaches Used by Local Health Departments

CONTEXT

The Public Health Accreditation Board requires accredited local health departments (LHDs) to complete community health improvement plans (CHIPs). Evidence suggests that participatory planning frameworks, cross-sector collaboration, social determinants of health (SDOHs), and steering organizations are integral to effective public health planning. However, little is known about the degree to which LHDs incorporate these aspects during the CHIP process.

OBJECTIVES

To describe the use of planning methods, SDOHs, cross-sector partnerships, and steering organizations during the CHIP development process among nationally accredited LHDs and to identify whether LHD jurisdictional size or region is associated with differences in use.

DESIGN

The most recent CHIPs from 93% of all nationally accredited LHDs (n = 195) were qualitatively reviewed and numerically coded for each of the planning components to calculate frequency and degree of use. Differences in use of each component by LHDs' jurisdictional size and region were tested using the chi-square test.

MAIN OUTCOME MEASURE

Use of CHIP planning frameworks, SDOH inclusion, cross-sector partnerships, and steering organizations.

RESULTS

One-half of LHDs (53%) reported use of Mobilizing for Action through Planning and Partnerships, but nearly one-fourth of LHDs did not use any planning framework. LHDs with a large jurisdictional size (>500 000) were significantly more likely to include SDOHs to a high degree than LHDs with mid- (100 000-499 999) to small- (<99 999) jurisdictional size (P < .01). Similarly, large LHDs were more likely to include cross-sector partners except for the category community members, which were rarely (10%) included. Mid-sized LHDs were more likely to lead the CHIP steering committee (61%) than small (29%) and large (9%) LHDs (P < .01). Differences in use of the 4 components by region were less significant.

CONCLUSIONS

Jurisdictional size, rather than region, was more strongly associated with LHD approaches to CHIP development. More studies are needed to determine how differences influence CHIP implementation and impact.

Developing Evidence-based Population Health Informatics curriculum: Integrating competency based model and job analysis

With the rapid pace of technological advancements, public health professions require a core set of informatics skills. The objective of the study is to integrate informatics competencies and job analysis to guide development of an evidence-based curriculum framework and apply it towards creation of a population health informatics program. We conducted content analysis of the Population Health Informatics related job postings in the state of New York between June and July 2019 using the Indeed job board. The search terms included "health informatics" and "population health informatics." The initial search yielded 496 job postings. After removal of duplicates, inactive postings and that did not include details of the positions' responsibilities resulted in 306 jobs. Information recorded from the publicly available job postings included job categories, type of hiring organization, educational degree preferred and required, work experience preferred and required, salary information, job type, job location, associated knowledge, skills and expertise and software skills. Most common job title was that of an analyst (21%, n=65) while more than one-third of the hiring organizations were health systems (35%, n=106). 95% (n=291) of the jobs were fulltime and nearly half of these jobs were in New York City (47%, n=143). Data/statistical analysis (68%, n=207), working in multidisciplinary teams (35%, n=108), and biomedical/clinical experience (30%, n=93) were the common skills needed. Structured query language (SQL), Python, and R language were common programming language skills. A broad framework of integrating informatics competencies, combined with analysis of the skills the jobs needed, and knowledge acquisition based on global health informatics projects guided the development of an online population health informatics curriculum in a rapidly changing technological environment.

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.

Public Health Informatics in Local and State Health Agencies: An Update From the Public Health Workforce Interests and Needs Survey

Objective:

To characterize public health informatics (PHI) specialists and identify the informatics needs of the public health workforce.

Design:

Cross-sectional study.

Setting:

US local and state health agencies.

Participants:

Employees from state health agencies central office (SHA-COs) and local health departments (LHDs) participating in the 2017 Public Health Workforce Interests and Needs Survey (PH WINS). We characterized and compared the job roles for self-reported PHI, “information technology specialist or information system manager” (IT/IS), “public health science” (PHS), and “clinical and laboratory” workers.

Main Outcome Measure:

Descriptive statistics for demographics, income, education, public health experience, program area, job satisfaction, and workplace environment, as well as data and informatics skills and needs.

Results:

A total of 17 136 SHA-CO and 26 533 LHD employees participated in the survey. PHI specialist was self-reported as a job role among 1.1% and 0.3% of SHA-CO and LHD employees. The PHI segment most closely resembled PHS employees but had less public health experience and had lower salaries. Overall, fewer than one-third of PHI specialists reported working in an informatics program area, often supporting epidemiology and surveillance, vital records, and communicable disease. Compared with PH WINS 2014, current PHI respondents' satisfaction with their job and workplace environment moved toward more neutral and negative responses, while the IT/IS, PHS, and clinical and laboratory subgroups shifted toward more positive responses. The PHI specialists were less likely than those in IT/IS, PHS, or clinical and laboratory roles to report gaps in needed data and informatics skills.

Conclusions:

The informatics specialists' role continues to be rare in public health agencies, and those filling that role tend to have less public health experience and be less well compensated than staff in other technically focused positions. Significant data and informatics skills gaps persist among the broader public health workforce.

Health Professionals' Readiness and Its Associated Factors to Implement Electronic Medical Record System in Four Selected Primary Hospitals in Ethiopia

BACKGROUND

Incorporating electronic medical record systems (EMRs) into the healthcare system is not only about modernizing the health system, but is about saving lives by facilitating communication and practicing evidence-based decision. Globally, more than 50% of EMR projects fail before they reach their target. Even though EMRs are an essential tool for health care, their adoption and utilization remains low in developing countries including Ethiopia.

OBJECTIVE

The aim of this study was to determine health professionals' readiness and associated factors toward the implementation of EMRs in four selected primary hospitals in Ethiopia.

METHODS

An institutionbased cross-sectional study supplemented with a qualitative approach was conducted on 414 health professionals from March 2 to May 5, 2018 in four selected primary hospitals in Ethiopia. A self-administered questionnaire was used to collect the quantitative data and in-depth interviews were employed for the qualitative data. The data were analyzed using SPSS version 20 software. Descriptive statistics, bivariable, and multivariable logistic regression analyses were done. An adjusted odds ratio (AOR) with 95% CI was used to determine the association between the determinants and the outcome variable.

RESULTS

More than half (258; 62.3%) of health professionals were ready to use the electronic medical recording system. EMR knowledge (AOR = 2.64; 95% CI: [1.62, 4.29]), attitude (AOR = 1.63; 95% CI: [1.01, 2.63]), computer literacy (AOR = 3.30; 95% CI: [2.05, 5.31]), and EMR training (AOR = 3.63, ;5% CI: [1.69, 5.80]) were significantly associated with EMR readiness.

CONCLUSION AND RECOMMENDATION

In general, the overall readiness of health professionals for EMR implementation was found to be low. Comprehensive packages of capacity-building are crucial to raise the level of knowledge, attitude, and computer skill among health workers.

Availability of Foodborne Illness Reporting Mechanisms for the Public on Local Health Department Web Sites

CONTEXT

Foodborne illness is a serious and preventable public health problem, with high health and economic tolls in the United States. Local governments play an important role in food safety, with local health departments (LHDs) responsible for licensing and inspecting restaurants. Foodborne illness complaints from the public result in identification of more serious and critical food safety violations than regularly scheduled inspections; however, few people report foodborne illness. Availability of existing methods for the public to report foodborne illness to LHDs across the United States was examined.

OBJECTIVE

In 2016, data were collected and analyzed from a nationally representative stratified sample of 816 LHDs. Each LHD Web site was examined to determine whether the Web site included a way for constituents to report a suspected foodborne illness.

RESULTS

Just 27.6% of LHD Web sites included a way for constituents to report a suspected foodborne illness. LHDs with reporting mechanisms were serving significantly larger populations and had significantly more staff members, higher revenues, and higher expenditures. Health departments with reporting mechanisms were also significantly more likely to conduct environmental health surveillance activities, to regulate, inspect, and/or license food service establishments, and to be involved in food safety policy.

CONCLUSIONS

Consumer reports of suspected foodborne illness help identify serious and critical food safety violations in food establishments; however, foodborne illness is vastly underreported by the US public. While more evidence is needed on how current systems are working, increasing the visibility and availability of Web-based reporting mechanisms through the following strategies is recommended: (1) test and modify search functions on LHD Web sites to ensure consumers find reporting mechanisms; (2) add a downloadable form as an option for reporting; (3) coordinate with state health departments to ensure clear instructions are available for reporting at both state and local levels; and (4) consider linking directly to state health department reporting mechanisms.

Data, capacity-building, and training needs to address rural health inequities in the Northwest United States: a qualitative study

OBJECTIVE

Rural public health system leaders struggle to access and use data for understanding local health inequities and to effectively allocate scarce resources to populations in need. This study sought to determine these rural public health system leaders' data access, capacity, and training needs.

MATERIALS AND METHODS

We conducted qualitative interviews across Alaska, Idaho, Oregon, and Washington with individuals expected to use population data for analysis or decision-making in rural communities. We used content analysis to identify themes.

RESULTS

We identified 2 broad themes: (1) challenges in accessing or using data to monitor and address health disparities and (2) needs for training in data use to address health inequities. Participants faced challenges accessing or using data to address rural disparities due to (a) limited availability or access to data, (b) data quality issues, (c) limited staff with expertise and resources for analyzing data, and (d) the diversity within rural jurisdictions. Participants also expressed opportunities for filling capacity gaps through training-particularly for displaying and communicating data.

DISCUSSION

Rural public health system leaders expressed data challenges, many of which can be aided by informatics solutions. These include interoperable, accessible, and usable tools that help capture, access, analyze, and display data to support health equity efforts in rural communities.

CONCLUSION

Informatics has the potential to address some of the daunting data-related challenges faced by rural public health system leaders working to enhance health equity. Future research should focus on developing informatics solutions to support data access and use in rural communities.

Official Websites of Local Health Centers in Taiwan: A Nationwide Study

Local health centers (LHCs) play a key role in public health. Because it has now become popular to seek health information on the Internet, an effective website is indispensable to an LHC. Our study aimed to survey the official websites of LHCs in Taiwan with an evaluation framework. All 369 LHCs in Taiwan were surveyed in March 2018. The evaluation indicators included health information, online interactive services, technical features, institutional information, links to external resources, website management, the last updated time, and number of visitors. The indicators were stratified by the urbanization levels of the LHCs. In total, 98.0% (n = 360) of the LHCs had official websites. The majority (n = 241) of the websites were updated within the past 30 days, and most of the websites (n = 353) provided health information. However, the information provided varied considerably. Few LHCs (n = 31) provided online interactive services in terms of an online appointment function. In terms of providing online consultation services, rural LHCs outperformed suburban and urban LHCs (16.4% versus 14.5% and 6.0%, respectively). Most LHCs in Taiwan do not seem to take full advantage of the Internet, with their websites typically serving as static bulletin boards instead of new channels of communication. Further studies could focus on the effectiveness of these websites.

Data, Staff, and Money: Leadership Reflections on the Future of Public Health Informatics

CONTEXT

Health informatics can play a critical role in supporting local health departments' (LHDs') delivery of certain essential public health services and improving evidence base for decision support. However, LHDs' informatics capacities are below an optimum level. Efforts to build such capacities face ongoing challenges. Moreover, little is known about LHD leaders' desires for the future of public health informatics.

OBJECTIVES

Conduct a qualitative analysis of LHDs' future informatics plans, perceived barriers to accomplishing those plans, and potential impact of future advances in public health informatics on the work of the public health enterprise.

METHODS

This research presents findings from 49 in-depth key informant interviews with public health leaders and informatics professionals from LHDs, representing insights from across the United States. Interviewees were selected on the basis of the size of the population their LHD serves, as well as level of informatics capacity. Interviews were transcribed, verified, and double coded.

RESULTS

Major barriers to doing more with informatics included staff capacity and training, financial constraints, dependency on state health agency, and small LHD size/lack of regionalization. When asked about the role of leadership in expanding informatics, interviewees said that leaders could make it a priority through (1) learning more about informatics and (2) creating appropriate budgets for integrated information systems. Local health department leaders said that they desired data that were timely and geographically specific. In addition, LHD leaders said that they desired greater access to clinical data, especially around chronic disease indicators.

CONCLUSIONS

Local health department leadership desires to have timely or even real-time data. Local health departments have a great potential to benefit from informatics, particularly electronic health records in advancing their administrative practices and service delivery, but financial and human capital represents the largest barrier. Interoperability of public health systems is highly desirable but hardly achievable in the presence of such barriers.

Identifying Barriers to Collaboration Between Primary Care and Public Health: Experiences at the Local Level

OBJECTIVES

Interest is increasing in collaborations between public health and primary care to address the health of a community. Although the understanding of how these collaborations work is growing, little is known about the barriers facing these partners at the local level. The objective of this study was to identify barriers to collaboration between primary care and public health at the local level in 4 states.

METHODS

The study team, which comprised 12 representatives of Practice-Based Research Networks (networks of practitioners interested in conducting research in practice-based settings), identified 40 key informants from the public health and primary care fields in Colorado, Minnesota, Washington State, and Wisconsin. The key informants participated in standardized, semistructured telephone interviews with 8 study team members in 2014 and 2015. Interviews were audio recorded and transcribed verbatim. We analyzed key themes and subthemes by drawing on grounded theory.

RESULTS

Primary care and public health participants identified similar barriers to collaboration. Barriers at the institutional level included the challenges of the primary care environment, in which providers feel overwhelmed and resources are tight; the need for systems change; a lack of partnership; and geographic challenges. Barriers to collaboration included mutual awareness, communication, data sharing, capacity, lack of resources, and prioritization of resources.

CONCLUSIONS

Some barriers to collaboration (eg, changes to health care billing, demands on provider time) require systems change to overcome, whereas others (eg, a lack of shared priorities and mutual awareness) could be addressed through educational approaches, without adding resources or making a systemic change. Overcoming these common barriers may lead to more effective collaboration.

Leveraging public health's participation in a Health Information Exchange to improve communicable disease reporting

BACKGROUND

Infectious diseases can appear and spread rapidly. Timely information about disease patterns and trends allows public health agencies to quickly investigate and efficiently contain those diseases. But disease case reporting to public health has traditionally been paper-based, resulting in somewhat slow, burdensome processes. Fortunately, the expanding use of electronic health records and health information exchanges has created opportunities for more rapid, complete, and easily managed case reporting and investigation. To assess how this new service might impact the efficiency and quality of a public health agency's case investigations, we compared the timeliness of usual case investigation to that of case investigations based on case report forms that were partially pre-populated with electronic data.

INTERVENTION

Between September 2013-March 2014, chlamydia disease report forms for certain clinics in Indianapolis were electronically pre-populated with clinical, lab and patient data available through the Indiana Health Information Exchange, then provided to the patient’s doctor. Doctors could then sign the form and deliver it to public health for investigation and population-level disease tracking. Methods: We utilized a novel matched case analysis of timeliness changes in receipt and processing of communicable disease report forms. Each Chlamydia cases reported with the pre-populated form were matched to cases reported in usual ways. We assessed the time from receipt of the case at the public health agency: 1) inclusion of the case into the public health surveillance system and 2) to close to case. A hierarchical random effects model was used to compare mean difference in each outcome between the target cases and the matched cases, with random intercepts for case.

RESULTS

Twenty-one Chlamydia cases were reported to the public health agency using the pre-populated form. Sixteen of these pre-populated form cases were matched to at least one other case, with a mean of 23 matches per case. The mean Reporting Lag for the pre-populated form cases was 2.5 days, which was 2.7 days shorter than the mean Reporting Lag for the matched controls (p = <0.001). The mean time to close a pre-populated form case was 4.7 days, which was 0.2 days shorter than time to close for the matched controls (p = 0.792).

CONCLUSIONS

Use of pre-populated forms significantly decreased the time it took for the local public health agency to begin documenting and closing chlamydia case investigations. Thoughtful use of electronic health data for case reporting may decrease the per-case workload of public health agencies, and improve the timeliness of information about the pattern and spread of disease.

Overcoming Barriers to Experience Benefits: A Qualitative Analysis of Electronic Health Records and Health Information Exchange Implementation in Local Health Departments

Introduction:

Electronic Health Records (EHRs) and Health Information Exchanges (HIEs) are changing surveillance and analytic operations within local health departments (LHDs) across the United States. The objective of this study was to analyze the status, benefits, barriers, and ways of overcoming challenges in the implementation of EHRs and HIEs in LHDs.

Methods:

This study employed a mixed methods approach, first using the 2013 National Profile of LHDs survey to ascertain the status of EHR and HIE implementation across the US, as well as to aid in selection of respondents for the second, interview-based part of project. Next, forty-nine key-informant interviews of local health department staff were conducted. Data were coded thematically and independently by two researchers. Coding was compared and re-coded using the consensus definitions.

Results:

Twenty-three percent of LHDs nationwide are using EHRs and 14 percent are using HIEs. The most frequently mentioned benefits for implementation were identified as care coordination, retrieval or managing information, and the ability to track outcomes of care. A few mentioned barriers included financial resources, resistance to change, and IT related issues during implementation.

Discussion:

Despite financial, technical capacity, and operational constraints, leaders interviewed as part of this project were optimistic about the future of EHRs in local health departments. Recent policy changes and accreditation have implications of improving processes to affect populations served.

Conclusions:

Overcoming the challenges in implementing EHRs can result in increased efficiencies in surveillance and higher quality patient care and tracking. However, significant opportunity cost does exist.

Public Health, Population Health, and Epidemiology Informatics: Recent Research and Trends in the United States

Objectives: To survey advances in public and population health and epidemiology informatics over the past 18 months. Methods: We conducted a review of English-language research works conducted in the domain of public and population health informatics and published in MEDLINE or Web of Science between January 2015 and June 2016 where information technology or informatics was a primary subject or main component of the study methodology. Selected articles were presented using a thematic analysis based on the 2011 American Medical Informatics Association (AMIA) Public Health Informatics Agenda tracks as a typology. Results: Results are given within the context developed by Dixon et al., (2015) and key themes from the 2011 AMIA Public Health Informatics Agenda. Advances are presented within a socio-technical infrastructure undergirded by a trained, competent public health workforce, systems development to meet the business needs of the practice field, and research that evaluates whether those needs are adequately met. The ability to support and grow the infrastructure depends on financial sustainability. Conclusions: The fields of public health and population health informatics continue to grow, with the most notable developments focused on surveillance, workforce development, and linking to or providing clinical services, which encompassed population health informatics advances. Very few advances addressed the need to improve communication, coordination, and consistency with the field of informatics itself, as identified in the AMIA agenda. This will likely result in the persistence of the silos of public health information systems that currently exist. Future research activities need to aim toward a holistic approach of informatics across the enterprise.

Enhancing the Science of Discovery in Public Health Systems and Services Research Through Participatory Research Methods

The objective was to combine cost analysis and participatory research to identify actionable cost-saving opportunities in public health services for sexually transmitted infections (STI). This study used a mixed-methods approach of analyzing Florida public health data, combined with participatory research approaches to data collection including quantitative web-based surveys, qualitative in-depth interviews, and group discussions. Florida surveillance and administrative data on STIs and county health department (CHD) costs of services for 2012 were analyzed in addition to primary data collected from all Florida CHDs during 2014 and 2015. Variations in STI service delivery practices were the primary variables of concern. Variations in practices, rather than demographic factors such as size of county or STI rates, were associated with variations in cost. Five identified variations in practices were rated for cost savings, no or minimal adverse health impact, and ease of implementation. Following discussion of the ratings by CHDs, texting STI test results was ranked highest for quality improvement implementation initiatives. This study provides a compelling example of how in-depth qualitative and quantitative follow-up research focused on discovery and development with the practice community provides critical insights for interpreting administrative data and drawing accurate reality-based conclusions. The research design was intended to be a highly adaptive research approach that adjusts to the political and technical circumstances of delivering public health services. The extensive stakeholder engagement throughout all phases the study enables this research to address and overcome potential barriers and challenges to actionable findings.

Macro Trends and the Future of Public Health Practice

Public health practice in the twenty-first century is in a state of significant flux. Several macro trends are impacting the current practice of governmental public health and will likely have effects for many years to come. These macro trends are described as forces of change, which are changes that affect the context in which the community and its public health system operate. This article focuses on seven such forces of change: the Patient Protection and Affordable Care Act, public health agency accreditation, climate change, health in all policies, social media and informatics, demographic transitions, and globalized travel. Following the description of each of these, this article then turns to possible approaches to measuring, tracking, and understanding the impact of these forces of change on public health practice, including the use of evidence-based public health, practice-based research, and policy surveillance.

Creating a Taxonomy of Local Boards of Health Based on Local Health Departments' Perspectives

OBJECTIVES

To develop a local board of health (LBoH) classification scheme and empirical definitions to provide a coherent framework for describing variation in the LBoHs.

METHODS

This study is based on data from the 2015 Local Board of Health Survey, conducted among a nationally representative sample of local health department administrators, with 394 responses. The classification development consisted of the following steps: (1) theoretically guided initial domain development, (2) mapping of the survey variables to the proposed domains, (3) data reduction using principal component analysis and group consensus, and (4) scale development and testing for internal consistency.

RESULTS

The final classification scheme included 60 items across 6 governance function domains and an additional domain-LBoH characteristics and strengths, such as meeting frequency, composition, and diversity of information sources. Application of this classification strongly supports the premise that LBoHs differ in their performance of governance functions and in other characteristics.

CONCLUSIONS

The LBoH taxonomy provides an empirically tested standardized tool for classifying LBoHs from the viewpoint of local health department administrators. Future studies can use this taxonomy to better characterize the impact of LBoHs.

Assessing Skills and Capacity for Informatics: Activities Most Commonly Performed by or for Local Health Departments

OBJECTIVE

To describe the informatics activities performed by and for local health departments.

DESIGN

Analysis of data from the 2015 Informatics Capacity and Needs Assessment Survey of local health departments conducted by the Jiann-Ping Hsu College of Public Health at Georgia Southern University in collaboration with the National Association of County & City Health Officials.

PARTICIPANTS

324 local health departments.

MAIN OUTCOME MEASURE(S)

Informatics activities performed at or for local health departments in use and analysis of data, system design, and routine use of information systems.

RESULTS

A majority of local health departments extract data from information systems (69.5%) and use and interpret quantitative (66.4%) and qualitative (55.1%) data. Almost half use geographic information systems (45.0%) or statistical or other analytical software (39.7%). Local health departments were less likely to perform project management (35.8%), business process analysis and redesign (24.0%), and developing requirements for informatics system development (19.7%). Local health departments were most likely to maintain or modify content of a Web site (72.1%). A third of local health departments (35.8%) reported acting as "super users" for their information systems. A significantly higher proportion of local health departments serving larger jurisdictions (500 000+) and those with shared governance reported conducting informatics activities.

CONCLUSION

Most local health department informatics activities are completed by local health department staff within each department or a central department, but many state health departments also contribute to informatics at the local level. Larger local health departments and those with shared governance were more likely to perform informatics activities. Local health departments need effective leadership, a skilled workforce, strong partnerships, and policies that foster implementation of health information systems to successfully engage in informatics. Local health departments also face important training needs, including data analytics, project management, and geographical information systems, so they can adapt to the increasing availability of electronic data and changes in technology.

An Iterative, Low-Cost Strategy to Building Information Systems Allows a Small Jurisdiction Local Health Department to Increase Efficiencies and Expand Services

OBJECTIVE AND METHODS

The objective of this case study was to describe the process and outcomes of a small local health department's (LHD's) strategy to build and use information systems. The case study is based on a review of documents and semi-structured interviews with key informants in the Pomperaug District Health Department. Interviews were recorded, transcribed, coded, and analyzed.

RESULTS AND CONCLUSIONS

The case study here suggests that small LHDs can use a low-resource, incremental strategy to build information systems for improving departmental effectiveness and efficiency. Specifically, we suggest that the elements for this department's success were simple information systems, clear vision, consistent leadership, and the involvement, training, and support of staff.

Electronic Health Records and Meaningful Use in Local Health Departments: Updates From the 2015 NACCHO Informatics Assessment Survey

This study provides an updated view using the most recent data to identify the primary storage of clinical data, status of data for meaningful use, and characteristics associated with the implementation of electronic health records in local health departments.

Electronic health records (EHRs) are evolving the scope of operations, practices, and outcomes of population health in the United States. Local health departments (LHDs) need adequate health informatics capacities to handle the quantity and quality of population health data.

Local Health Departments' Partners and Challenges in Electronic Exchange of Health Information

BACKGROUND

Unprecedented amounts of data are produced by the health care and other sectors, presenting opportunities for local health departments (LHDs) to access these data. LHDs will need to participate in health information exchange (HIE) with a number of partners in order to benefit from these data resources. LHDs' participation in HIEs with specific partners has not been studied.

OBJECTIVES

To describe the level of and challenges in LHD participation in HIE with other partners, and variation by LHD population size and governance type.

DATA AND METHODS

This research uses data from the 2015 Informatics Capacity and Needs Assessment Survey, with a target population of all LHDs in the United States. A representative sample of 650 LHDs was drawn using a stratified random sampling design. A total of 324 completed responses were received with a 50% response rate. Survey data were cleaned, and bivariate comparisons were conducted using χ and Somer's D.

RESULTS

Substantial variation existed in LHDs' participation in HIE by type of exchange partner. Although 71% participated in HIE with the state departments of health, only 12% with jail/correctional health, 14% with health or county-based purchasing plans, and 15% with home health agencies. Compared with large LHDs (jurisdiction populations of ≥500 000), smaller LHDs were more likely to participate in HIE with state departments of health, but less likely with other exchange partners. The challenges to HIE participation were technological, and organizational/interorganizational in nature and variation existed by LHDs' population size and governance structure with respect to state authority.

CONCLUSIONS

Local public health agencies more commonly participate in HIE with some partners, but may need to improve HIE with many others. National strategies targeting an increase in HIE of LHDs may use our findings to focus those initiatives.

The Methods Behind 2015 Informatics Capacity and Needs Assessment Study

The 2015 Informatics Needs and Capacity of Local Health Departments (LHDs) survey is the most recent comprehensive source of quantitative data on LHD informatics. Conducted by the National Association of County & City Health Officials (NACCHO), this is the third nationally representative quantitative study of LHD informatics since 2009. The previous 2 comprehensive quantitative assessments were conducted by NACCHO in 2009-2010 and 2011. Given that public health informatics is rapidly evolving, the 2015 Informatics survey is a much-needed country-wide assessment of the current informatics needs and capacities of LHDs. This article outlines detailed methodology used in the 2015 Informatics survey, including instrument development, pretesting, sampling design and sample size, survey administration, and sampling weights. A 9-member advisory committee representing federal, state, and local health agency representatives guided the design and implementation of this study. The survey instrument was organized into 6 topic areas: demographics, physical infrastructure, skills and capacity available, public health workforce development needs, electronic health records, and health information exchange. The instrument was pretested with a sample of 20 LHDs and subsequently pilot-tested with 30 LHDs. The survey was administered via the Qualtrics survey software to the sample of 650 LHDs, selected using stratified random sampling. The survey was fielded for approximately 8 weeks and 324 usable responses were received, constituting a response rate of 50%. Statistical weights were developed to account for 3 factors: (a) disproportionate response rate by population size (using 7 population strata), (b) oversampling of LHDs with larger population sizes, and

Clinical Data Systems to Support Public Health Practice: A National Survey of Software and Storage Systems Among Local Health Departments

CONTEXT

Numerous software and data storage systems are employed by local health departments (LHDs) to manage clinical and nonclinical data needs. Leveraging electronic systems may yield improvements in public health practice. However, information is lacking regarding current usage patterns among LHDs.

OBJECTIVE

To analyze clinical and nonclinical data storage and software types by LHDs.

DESIGN

Data came from the 2015 Informatics Capacity and Needs Assessment Survey, conducted by Georgia Southern University in collaboration with the National Association of County and City Health Officials.

PARTICIPANTS

A total of 324 LHDs from all 50 states completed the survey (response rate: 50%).

MAIN OUTCOME MEASURES

Outcome measures included LHD's primary clinical service data system, nonclinical data system(s) used, and plans to adopt electronic clinical data system (if not already in use). Predictors of interest included jurisdiction size and governance type, and other informatics capacities within the LHD. Bivariate analyses were performed using χ and t tests.

RESULTS

Up to 38.4% of LHDs reported using an electronic health record (EHR). Usage was common especially among LHDs that provide primary care and/or dental services. LHDs serving smaller populations and those with state-level governance were both less likely to use an EHR. Paper records were a common data storage approach for both clinical data (28.9%) and nonclinical data (59.4%). Among LHDs without an EHR, 84.7% reported implementation plans.

CONCLUSIONS

Our findings suggest that LHDs are increasingly using EHRs as a clinical data storage solution and that more LHDs are likely to adopt EHRs in the foreseeable future. Yet use of paper records remains common. Correlates of electronic system usage emerged across a range of factors. Program- or system-specific needs may be barriers or facilitators to EHR adoption. Policy makers can tailor resources to address barriers specific to LHD size, governance, service portfolio, existing informatics capabilities, and other pertinent characteristics.

Public Health Staff Development Needs in Informatics: Findings From a National Survey of Local Health Departments

CONTEXT

Public health practice is information-intensive and information-driven. Public health informatics is a nascent discipline, and most public health practitioners lack necessary skills in this area.

OBJECTIVE

To describe the staff development needs of local health departments (LHDs) related to informatics.

DESIGN

Data came from the 2015 Informatics Capacity and Needs Assessment Survey, conducted by Georgia Southern University in collaboration with the National Association of County & City Health Officials.

PARTICIPANTS

A total of 324 LHDs from all 50 states completed the survey (response rate: 50%).

MAIN OUTCOME MEASURE(S)

Outcome measures included LHDs' specific staff development needs related to informatics. Predictors of interest included jurisdiction size and governance type.

RESULTS

Areas of workforce development and improvement in informatics staff of LHDs included using and interpreting quantitative data, designing and running reports from information systems, using and interpreting qualitative data, using statistical or other analytical software, project management, and using geographical information systems. Significant variation in informatics training needs exists depending on the size of the LHD population and governance type.

CONCLUSION

Substantial training needs exist for LHDs across many areas of informatics ranging from very basic to specialized skills and are related to the size of LHD population and governance type.

Informatics as a Strategic Priority and Collaborative Processes to Build a Smarter, Forward-Looking Health Department

Health information is critical to surveillance and assessment of public health threats, population and disease trends, management of clinical services, completion of immunizations, identification of disease trends, and communication with community partners. This article explores how a medium-sized local health department using best practices in informatics could implement and use informatics to improve the practice of public health.

Investigating Informatics Activity, Control, and Training Needs in Large, Medium, and Small Health Departments

This article investigates informatics training needs in local health departments of different jurisdictional sizes.

A recent National Association of City & County Health Officials survey shed light on informatics workforce development needs. Local health departments (LHDs) of various jurisdictional sizes and control over informatics may differ on training needs and activity. Understanding the precise nature of this variation will allow stakeholders to appropriately develop workforce development tools to advance the field.

Interoperability of Information Systems Managed and Used by the Local Health Departments

BACKGROUND

In the post-Affordable Care Act era marked by interorganizational collaborations and availability of large amounts of electronic data from other community partners, it is imperative to assess the interoperability of information systems used by the local health departments (LHDs).

OBJECTIVES

To describe the level of interoperability of LHD information systems and identify factors associated with lack of interoperability.

DATA AND METHODS

This mixed-methods research uses data from the 2015 Informatics Capacity and Needs Assessment Survey, with a target population of all LHDs in the United States. A representative sample of 650 LHDs was drawn using a stratified random sampling design. A total of 324 completed responses were received (50% response rate). Qualitative data were used from a key informant interview study of LHD informatics staff from across the United States. Qualitative data were independently coded by 2 researchers and analyzed thematically. Survey data were cleaned, bivariate comparisons were conducted, and a multivariable logistic regression was run to characterize factors associated with interoperability.

RESULTS

For 30% of LHDs, no systems were interoperable, and 38% of LHD respondents indicated some of the systems were interoperable. Significant determinants of interoperability included LHDs having leadership support (adjusted odds ratio [AOR] = 3.54), control of information technology budget allocation (AOR = 2.48), control of data systems (AOR = 2.31), having a strategic plan for information systems (AOR = 1.92), and existence of business process analysis and redesign (AOR = 1.49).

CONCLUSION

Interoperability of all systems may be an informatics goal, but only a small proportion of LHDs reported having interoperable systems, pointing to a substantial need among LHDs nationwide.