Community Health Information Network Research Articles

Identification of barriers affecting the use of health information exchange (HIE) in clinicians' practices: An empirical study in the United States

Health information exchange (HIE) programs as a policy subject in several developed countries can enable sharing of adequate and accurate information across providers and healthcare organizations to improve care coordination. However, besides the expected benefits of participating in HIE in enhancing coordination, reducing costs, and improving patient safety, previous studies report that clinicians' rate of using HIE mechanisms is still low. Insufficient participation of clinicians in data exchange networks can diminish the value of HIE. Based on utility theory, this study aims to identify and categorize barriers associated with the implementation of HIE projects in healthcare organizations and develop a comprehensive model to empirically examine the effects of HIE inhibitors on clinicians' intention to engage in HIE networks. Data was collected using an online survey from 318 clinicians working in different healthcare settings in the United States. Results show that internal inhibitors (including technological and organizational barriers) and external inhibitors (including partners, patients, vendors, and legal barriers) strongly influence clinicians' intention to engage in HIEs. Taking an integrated approach, this study can contribute to the existing literature by providing a more informed way of conceptualizing and explaining HIE adoption in healthcare organizations. The findings can help HIE decision-makers, healthcare organizations, and providers to identify key HIE inhibitors and take corrective actions to address them. Addressing both internal and external inhibitors would increase the likelihood of widespread implementation of HIEs in different healthcare settings and facilitate interoperability and connectivity in regional and community health information networks.

Benefits and concerns associated with blockchain-based health information exchange (HIE): a qualitative study from physicians' perspectives

BackgroundBlockchain technology has the potential to revolutionize information sharing in companies. Many studies suggest using blockchain-powered platforms to replace existing mechanisms for health information exchange (HIE) across healthcare organizations. However, very few blockchain-based projects have been implemented in the healthcare sector. This study takes a qualitative approach to explore benefits, concerns, and barriers to the rollout of blockchain in HIE projects from physicians' perspectives.MethodsThe Promoting Action on Research Implementation in Health Services (PARIHS) framework was used to help us better understand root causes, existing problems, perceived risks, perceived benefits, and suggestions. In-depth interviews have been conducted with 38 physicians in six months. The data were analyzed and coded using NVIVO to classify conceptually similar themes mentioned by the interviewees.ResultsIn total, seven themes have been identified. The key benefits are categorized into three themes: innovative technological features, collaborative ecosystem, and system performance. The main concerns and risks are categorized into four themes: individual, organizational, technological, and market-related issues. The findings can contribute to knowledge by highlighting key values expected from blockchain technology in HIEs. The results also explore obstacles to leveraging the blockchain in healthcare from the perspectives of an important stakeholder (physicians).ConclusionsThe results show that although blockchain technology may create several benefits (e.g., innovative technological features, collaborative ecosystem, and system performance), its applications in healthcare are still in their early stages. The perceptions of the individual issues (e.g., lack of knowledge), organizational issues (e.g., implementation issues), technological issues (e.g., blockchain model types), and market-related issues (e.g., regulatory concerns) indicate that blockchain-based applications in healthcare continue to be an emerging field. This study has practical implications as understanding these concerns can help developers and healthcare managers identify potential issues in the planning, developing, and implementing blockchain-based HIE systems. Addressing these barriers would support the widespread use of blockchain-based HIEs in different healthcare settings and facilitate interoperability and connectivity in regional and community health information networks.

Use of a Preventive Index to Examine Clinic-Level Factors Associated With Delivery of Preventive Care

There is an increasing need for the development of new methods to understand factors affecting delivery of preventive care. This study applies a new measurement approach and assesses clinic-level factors associated with preventive care delivery. This retrospective longitudinal cohort study of 94 community health centers used electronic health record data from the OCHIN community health information network, 2014-2015. Clinic-level preventive ratios (time covered by a preventive service/time eligible for a preventive service) were calculated in 2017 for 12 preventive services with A or B recommendations from the U.S. Preventive Services Task Force along with an aggregate preventive index for all services combined. For each service, multivariable negative binomial regression modeling and calculated rate ratios assessed the association between clinic-level variables and delivery of care. Of ambulatory community health center visits, 59.8% were Medicaid-insured and 10.4% were uninsured. Ambulatory community health centers served 16.9% patients who were Hispanic, 13.1% who were nonwhite, and 68.7% who had household incomes <138% of the federal poverty line. Clinic-level preventive ratios ranged from 3% (hepatitis C screening) to 93% (blood pressure screening). The aggregate preventive index including all screening measures was 47% (IQR, 42%-50%). At the clinic level, having a higher percentage of uninsured visits was associated with lower preventive ratios for most (7 of 12) preventive services. Approaches that use individual preventive ratios and aggregate prevention indices are promising for understanding and improving preventive service delivery over time. Health insurance remains strongly associated with access to needed preventive care, even for safety net clinic populations.

Patterns of Electronic Portal Use among Vulnerable Patients in a Nationwide Practice-based Research Network: From the OCHIN Practice-based Research Network (PBRN).

Underserved patient populations experience barriers to accessing and engaging within the complex health care system. Electronic patient portals have been proposed as a potential new way to improve access and engagement. We studied patient portal use for 12 consecutive months (365 days) among a large, nationally distributed, underserved patient population within the OCHIN (originally created as the Oregon Community Health Information Network and renamed OCHIN as other states joined) practice-based research network (PBRN). We retrospectively assessed adoption and use of Epic's MyChart patient portal in the first 12 months after MyChart was made available to the OCHIN PBRN. We examined electronic health record data from 36,549 patients aged ≥18 years who were offered a MyChart access code between May 1, 2012, and April 30, 2013, across the OCHIN PBRN in 13 states. Overall, 29% of patients offered an access code logged into their MyChart account. Superusers (minimum of 2 logins per month over a 12-month period) accounted for 6% of users overall. Men, nonwhite patients, Hispanic patients, Spanish-speaking patients, and those with the lowest incomes were significantly less likely to activate. Publicly insured and uninsured patients were also less likely to log in to their MyChart account, but once activated they were more likely than privately insured patients to use MyChart functions. Our findings suggest that, compared with others, certain patient groups may be less interested in using patient portals or may have experienced significant barriers that prevented use. Making portal access available is a first step. Additional studies need to specifically identify health system-, clinic-, and patient-level barriers and facilitators to portal adoption and use.

The High Prevalence of Diabetes in a Large Cohort of Patients Drawn From Safety Net Clinics.

IntroductionUnderserved populations have been overlooked or underrepresented in research based on data from diabetes registries. We estimated diabetes prevalence using a cohort developed from the electronic health records of 3 networks of safety net clinics that provide care to underserved populations.MethodsADVANCE (Accelerating Data Value Across a National Community Health Center Network) is a partnership of the OCHIN Community Health Information Network (OCHIN), the Health Choice Network (HCN), and the Fenway Health Institute (FHI), representing 97 federally qualified health centers (FQHCs) and 744 clinic sites in 22 US states. Among 952,316 adults with a body mass index (BMI) measurement and at least 2 outpatient visits in 2012 to 2014, we calculated diabetes prevalence using outpatient diagnoses, diagnostic laboratory results, or dispenses of anti-hyperglycemic agents no more than 730 days apart. We calculated prevalence by age, sex, race, Hispanic ethnicity, and BMI class.ResultsThe crude prevalence of diabetes was 14.4%. Men had a higher prevalence than women (16.5% vs 13.2%); diabetes prevalence increased across age categories. White patients had the lowest prevalence (11.4%) and Hawaiian/Pacific Islanders, the highest prevalence (21.9%), with prevalence ranging from 15.2% to 16.5% for other race/ethnicities. The association between BMI class and diabetes prevalence was similar across all racial/ethnic groups.ConclusionThe ADVANCE diabetes cohort offers an opportunity to conduct epidemiologic and comparative effectiveness research on underserved and underrepresented individuals, who have a higher prevalence of diabetes than the general US population.

Receipt of Preventive Services After Oregon's Randomized Medicaid Experiment.

It is predicted that gaining health insurance via the Affordable Care Act will result in increased rates of preventive health services receipt in the U.S., primarily based on self-reported findings from previous health insurance expansion studies. This study examined the long-term (36-month) impact of Oregon's 2008 randomized Medicaid expansion ("Oregon Experiment") on receipt of 12 preventive care services in community health centers using electronic health record data. Demographic data from adult (aged 19-64 years) Oregon Experiment participants were probabilistically matched to electronic health record data from 49 Oregon community health centers within the OCHIN community health information network (N=10,643). Intent-to-treat analyses compared receipt of preventive services over a 36-month (2008-2011) period among those randomly assigned to apply for Medicaid versus not assigned, and instrumental variable analyses estimated the effect of actually gaining Medicaid coverage on preventive services receipt (data collected in 2012-2014; analysis performed in 2014-2015). Intent-to-treat analyses revealed statistically significant differences between patients randomly assigned to apply for Medicaid (versus not assigned) for 8 of 12 assessed preventive services. In intent-to-treat analyses, Medicaid coverage significantly increased the odds of receipt of most preventive services (ORs ranging from 1.04 [95% CI=1.02, 1.06] for smoking assessment to 1.27 [95% CI=1.02, 1.57] for mammography). Rates of preventive services receipt will likely increase as community health center patients gain insurance through Affordable Care Act expansions. Continued effort is needed to increase health insurance coverage in an effort to decrease health disparities in vulnerable populations.

Recruiting community health centers into pragmatic research: Findings from STOP CRC.

Challenges of recruiting participants into pragmatic trials, particularly at the level of the health system, remain largely unexplored. As part of Strategies and Opportunities to STOP Colon Cancer in Priority Populations (STOP CRC), we recruited eight separate community health centers (consisting of 26 individual safety net clinics) into a large comparative effectiveness pragmatic study to evaluate methods of raising the rates of colorectal cancer screening. In partnership with STOP CRC's advisory board, we defined criteria to identify eligible health centers and applied these criteria to a list of health centers in Washington, Oregon, and California affiliated with Oregon Community Health Information Network, a 16-state practice-based research network of federally sponsored health centers. Project staff contacted centers that met eligibility criteria and arranged in-person meetings of key study investigators with health center leadership teams. We used the Consolidated Framework for Implementation Research to thematically analyze the content of discussions during these meetings to identify major facilitators of and barriers to health center participation. From an initial list of 41 health centers, 11 met the initial inclusion criteria. Of these, leaders at three centers declined and at eight centers (26 clinic sites) agreed to participate (73%). Participating and nonparticipating health centers were similar with respect to clinic size, percent Hispanic patients, and percent uninsured patients. Participating health centers had higher proportions of Medicaid patients and higher baseline colorectal cancer screening rates. Common facilitators of participation were perception by center leadership that the project was an opportunity to increase colorectal cancer screening rates and to use electronic health record tools for population management. Barriers to participation were concerns of center leaders about ability to provide fecal testing to and assure follow-up of uninsured patients, limited clinic capacity to prepare mailings required by the study protocol, discomfort with randomization, and concerns about delaying program implementation at some clinics due to the research requirements. Our findings address an important research gap and may inform future efforts to recruit community health centers into pragmatic research.

Community Health Center Use After Oregon's Randomized Medicaid Experiment.

There is debate about whether community health centers (CHCs) will experience increased demand from patients gaining coverage through Affordable Care Act Medicaid expansions. To better understand the effect of new Medicaid coverage on CHC use over time, we studied Oregon's 2008 randomized Medicaid expansion (the "Oregon Experiment"). We probabilistically matched demographic data from adults (aged 19-64 years) participating in the Oregon Experiment to electronic health record data from 108 Oregon CHCs within the OCHIN community health information network (originally the Oregon Community Health Information Network) (N = 34,849). We performed intent-to-treat analyses using zero-inflated Poisson regression models to compare 36-month (2008-2011) usage rates among those selected to apply for Medicaid vs not selected, and instrumental variable analyses to estimate the effect of gaining Medicaid coverage on use. Use outcomes included primary care visits, behavioral/mental health visits, laboratory tests, referrals, immunizations, and imaging. The intent-to-treat analyses revealed statistically significant differences in rates of behavioral/mental health visits, referrals, and imaging between patients randomly selected to apply for Medicaid vs those not selected. In instrumental variable analyses, gaining Medicaid coverage significantly increased the rate of primary care visits, laboratory tests, referrals, and imaging; rate ratios ranged from 1.27 (95% CI, 1.05-1.55) for laboratory tests to 1.58 (95% CI, 1.10-2.28) for referrals. Our results suggest that use of many different types of CHC services will increase as patients gain Medicaid through Affordable Care Act expansions. To maximize access to critical health services, it will be important to ensure that the health care system can support increasing demands by providing more resources to CHCs and other primary care settings.

The ADVANCE network: accelerating data value across a national community health center network.

The ADVANCE (Accelerating Data Value Across a National Community Health Center Network) clinical data research network (CDRN) is led by the OCHIN Community Health Information Network in partnership with Health Choice Network and Fenway Health. The ADVANCE CDRN will ‘horizontally’ integrate outpatient electronic health record data for over one million federally qualified health center patients, and ‘vertically’ integrate hospital, health plan, and community data for these patients, often under-represented in research studies. Patient investigators, community investigators, and academic investigators with diverse expertise will work together to meet project goals related to data integration, patient engagement and recruitment, and the development of streamlined regulatory policies. By enhancing the data and research infrastructure of participating organizations, the ADVANCE CDRN will serve as a ‘community laboratory’ for including disadvantaged and vulnerable patients in patient-centered outcomes research that is aligned with the priorities of patients, clinics, and communities in our network.

The OCHIN Community Information Network: Bringing Together Community Health Centers, Information Technology, and Data to Support a Patient-Centered Medical Village

Creating integrated, comprehensive care practices requires access to data and informatics expertise. Information technology (IT) resources are not readily available to individual practices. One model of shared IT resources and learning is a "patient-centered medical village." We describe the OCHIN Community Health Information Network as an example of this model; community practices have come together collectively to form an organization that leverages shared IT expertise, resources, and data, providing members with the means to fully capitalize on new technologies that support improved care. This collaborative facilitates the identification of "problem sheds" through surveillance of network-wide data, enables shared learning regarding best practices, and provides a "community laboratory" for practice-based research. As an example of a community of solution, OCHIN uses health IT and data-sharing innovations to enhance partnerships between public health leaders, clinicians in community health centers, informatics experts, and policy makers. OCHIN community partners benefit from the shared IT resource (eg, a linked electronic health record, centralized data warehouse, informatics, and improvement expertise). This patient-centered medical village provides (1) the collective mechanism to build community-tailored IT solutions, (2) "neighbors" to share data and improvement strategies, and (3) infrastructure to support innovations based on electronic health records across communities, using experimental approaches.

The roles of past behavior and health beliefs in predicting medication adherence to a statin regimen

Purpose:Current medication-adherence predictive tools are based on patient medication-taking beliefs, but studying past behavior may now be a more explanatory and accessible method. This study will evaluate if past medication-refill behavior for a statin regimen is more predictive of medication adherence than patient medication-taking health beliefs.Patients and methods:This prospective longitudinal study was implemented in a national managed care plan in the United States. A group of 1433 statin patients were identified and followed for 6 months. Medication-taking health beliefs, collected from self-reported mail questionnaires, and past medication-refill behavior, using proportion of days covered (PDC), were collected prior to 6-month follow-up. Outcomes were measured using categorical PDC variable (of adherence, PDC ≥ 85%, versus nonadherence, PDC < 85%), with model fit estimated using receiver operator characteristic analysis.Results:The area under the receiver operator characteristic curve for past behavior (Az = 0.78) was significantly greater (P < 0.05) than for patient health beliefs (Az = 0.69), indicating that past prescription-refill behavior is a better predictor of medication adherence than prospective health beliefs. Among health beliefs, the factor most related to medication adherence was behavioral intent (odds ratio, 5.12; 95% confidence interval, 1.84 to 15.06). The factor most strongly related to behavioral intent was impact of regimen on daily routine (odds ratio, 3.3; 95% confidence interval, 1.41 to 7.74).Conclusion:Electronic medical records and community health-information networks may make past prescription-refill rates more accessible and assist physicians with managing medication-regimen adherence. Health beliefs, however, may still play an important role in influencing medication-taking behaviors.

Developing a network of community health centers with a common electronic health record: description of the Safety Net West Practice-based Research Network (SNW-PBRN).

In 2001, community health center (CHC) leaders in Oregon established an organization to facilitate the integration of health information technology, including a shared electronic health record (EHR), into safety net clinics. The Oregon Community Health Information Network (shortened to OCHIN as other states joined) became a CHC information technology hub, supporting a network-wide EHR with one master patient index, now linked across >40 safety net organizations serving >900,000 patients with nearly 800,000 distinct CHC visits. Recognizing the potential of OCHIN's multiclinic network and comprehensive EHR database for conducting safety net-based research, OCHIN leaders and local researchers formed the Safety Net West practice-based research network (PBRN). The Safety Net West "community- based laboratory," based at OCHIN, is positioned to become an important resource for many studies including: evaluation of the real-time impact of health care reform on uninsured populations; development of new models of primary care delivery; dissemination and translation of interventions from other EHR-based systems (e.g., Kaiser Permanente) into the community health setting; and analyses of factors influencing disparities in health and health care access. We describe the founding of Safety Net West, its infrastructure development, current projects, and the future goals of this community-based PBRN with a common EHR.

Informal Social Support for HIV Medical Care

The purpose of this paper is to explore the relationship of availability of HIV-related information and emotional support necessary to obtaining appropriate medical care. Multivariate models control for use of professional case management, mental health services, and drug treatment services. Study data were obtained from the first two rounds of interviews from the New York City Community Health Advisory and Information Network (CHAIN). Household information support and professional ancillary services were significantly associated with entry into appropriate medical care. Among participants in appropriate care at the baseline, only professional services were significantly associated with continuity of care.

Social Support, Disclosure, and Use of Antiretroviral Therapy

This paper investigates the association between social support, disclosure of HIV/AIDS, and odds of initiating combination antiretroviral drug therapy in its first years on the market. Data are drawn from the first three rounds of the Community Health Advisory and Information Network (CHAIN) survey, collected between 1994 and 1997. CHAIN documents service needs and rates of service utilization among a representative sample of persons with HIV/AIDS in New York City. A two-step logistic regression estimated associations between (1) perceived social support and use of combination antiretroviral therapy, and (2) the interaction between concealing HIV/AIDS and perceived social support. Results offered evidence that the positive association between social support and use of highly active antiretroviral treatment (HAART) and other combination antiretroviral therapies is contingent upon disclosure of HIV status within the household or among friend and acquaintance networks. A positive association between social support and odds of using combination therapy was only observed among those who disclosed their HIV status.

The impact of loss of Medicaid on health service utilization among persons with HIV/AIDS in New York City

Objectives To examine predictors of losing Medicaid and the impact of losing Medicaid on health service utilization for persons living with HIV/AIDS. Design The data are from the Community Health Advisory and Information Network (CHAIN), an on-going longitudinal survey representative of adults with HIV/AIDS in NYC ( N = 698) (1994–1997 data). Change of Medicaid coverage between survey waves was considered a “transition” yielding three groups: “no transition”, “transition to insurance”, and “transition to no insurance”. Methods To determine predictors of transitions and the impact of transitions on health service utilization, multinomial logistic regression was used to compare the three groups. Results There were 114 transitions and 792 cases without transitions, with transitions decreasing over time. Thirty percent of transitions were from Medicaid to no insurance. Transitions to insurance were more likely among the employed and those with incomes over US$ 15,000. Transitions to no insurance were more likely among AIDS cases, recent immigrants, and people less than 30-year-old. People in both transition groups were less likely than people who retained Medicaid to have experienced a life event in the pre-transition period. Those with transitions to insurance reported decreased hospital and drug treatment. People who became uninsured reported decreased use of routine and preventive care, decreased health information and advice and decreased use of private doctors and outpatient clinics. Conclusion While the rate of transitions from Medicaid was relatively low, such transitions were associated with greater variability in quality of health care and greater difficulty accessing primary care among the uninsured.

EGads! A Health Futurist Lost In Cyberspace

eGads! A Health Futurist Lost In Cyberspace

Regional Health Information Networks in Europe

Between 1996 and the end of 2000 there were six projects in Europe -joint initiatives of the European Union and scientific/industrial consortia -addressing the topic of community health information networks. These projects focused on the exploitation and implementation of results in the field of healthcare telematics and telemedicine applications and services. Previously isolated system-and application modules where to be integrated according to the needs of professionals and patients. These projects significantly facilitated the development of the specific field of business “healthcare telematics” which can now be considered as established. Nowadays, new mobile systems enable even more comprehensive services.

Community Health Information Networks:

Community Health Information Networks:

The Role of Community Health Information Networks in Disease Management

A Community Health Information Network (CHIN) is a web-based net of computer systems which allows the electronic exchange of clinical, financial and administrative information among unaffiliated healthcare entities in order to improve the efficiency and delivery of healthcare in the community. It achieves this through a combination of services, products and technology. One field of application in which CHINs can be very effective is disease management; the aim of disease management is to align patient, provider and payer interests in order to enhance quality of care and cost savings. CHINs can be used to effectively and efficiently implement disease management programmes through linking disease management systems (i.e. computerised disease management programmes) with other information systems. The application of CHINs in the implementation of disease management programmes has many benefits including shared data, internal communication, external communication, value-added applications, bonding and marketing presence. However, there are also problems and pitfalls of an architectural and ‘emotional’ nature. Architectural problems relate to legacy system incompatibility, legacy functionality, external data representation, communications disparity, distributed governance, flexibility versus homogeneity, confidentiality, and size and scalability. Emotional problems include personal barriers, community and ethnic cultural issues, and suspicion between the various levels of care involved in an information exchange process. Many examples of operational CHINs can be found on the Internet. Although many challenges lie ahead for patients, healthcare providers and healthcare organisations in this field, these examples show that the use of CHINs will influence medical and healthcare practice in a positive way, especially in terms of disease management.

Aspects sémantiques de la description des trajectoires de patients

Controlled medical terminologies play a central role in medical information systems which allows sharing of information. Development of community health information networks raises the issue of semantic interoperability between distributed and heterogeneous systems. The main objective of this paper is to analyse semantic interoperability from the point of view of the health care process representations. The underlying conceptual representations need to address the requirements of their intended users.