Health information technology capacity at federally qualified health centers: a mechanism for improving quality of care

Patient-Engagement Health Information Technology and Quality Process Outcomes in Federally Qualified Health Centers

BACKGROUND AND OBJECTIVES

Health information technology (HIT) for patient-engagement can positively influence the quality and efficiency of health care delivery. Although this topic is of significant importance, it has not been fully addressed in the federally qualified health center (FQHC) context. This research investigates the relationship between the level of patient-engagement HIT and FQHC preventive health care quality outcomes.

METHOD

Based on the Uniform Data System (UDS), this study employed multivariable regression analysis to investigate the association between the level of patient-engagement HIT and FQHC preventive health care quality outcomes. FQHCs were placed in 4 mutually exclusive groups based on the level of FQHC use of patient-engagement HIT.

RESULTS

The results indicate that compared with the most comprehensive patient-engagement HIT at FQHCs, less comprehensive patient-engagement HIT was associated with lower rates of preventive care provision.

CONCLUSIONS

Comprehensive patient-engagement HIT across FQHCs may improve preventive health care quality outcomes. The results support policy incentives for FQHCs with less comprehensive levels of patient-engagement HIT to foster improved preventive care for their patients.

Navigating the doctor-patient-AI relationship - a mixed-methods study of physician attitudes toward artificial intelligence in primary care

BACKGROUND

Artificial intelligence (AI) is a rapidly advancing field that is beginning to enter the practice of medicine. Primary care is a cornerstone of medicine and deals with challenges such as physician shortage and burnout which impact patient care. AI and its application via digital health is increasingly presented as a possible solution. However, there is a scarcity of research focusing on primary care physician (PCP) attitudes toward AI. This study examines PCP views on AI in primary care. We explore its potential impact on topics pertinent to primary care such as the doctor-patient relationship and clinical workflow. By doing so, we aim to inform primary care stakeholders to encourage successful, equitable uptake of future AI tools. Our study is the first to our knowledge to explore PCP attitudes using specific primary care AI use cases rather than discussing AI in medicine in general terms.

METHODS

From June to August 2023, we conducted a survey among 47 primary care physicians affiliated with a large academic health system in Southern California. The survey quantified attitudes toward AI in general as well as concerning two specific AI use cases. Additionally, we conducted interviews with 15 survey respondents.

RESULTS

Our findings suggest that PCPs have largely positive views of AI. However, attitudes often hinged on the context of adoption. While some concerns reported by PCPs regarding AI in primary care focused on technology (accuracy, safety, bias), many focused on people-and-process factors (workflow, equity, reimbursement, doctor-patient relationship).

CONCLUSION

Our study offers nuanced insights into PCP attitudes towards AI in primary care and highlights the need for primary care stakeholder alignment on key issues raised by PCPs. AI initiatives that fail to address both the technological and people-and-process concerns raised by PCPs may struggle to make an impact.

Adoption of Electronic Health Record Among Substance Use Disorder Treatment Programs: Nationwide Cross-Sectional Survey Study

BACKGROUND

Electronic health record (EHR) systems have been shown to be associated with improvements in care processes, quality of care, and patient outcomes. EHR also has a crucial role in the delivery of substance use disorder (SUD) treatment and is considered important for addressing SUD crises, including the opioid epidemic. However, little is known about the adoption of EHR in SUD treatment programs or the organizational-level factors associated with the adoption of EHR in SUD treatment.

OBJECTIVE

We examined the adoption of EHR in SUD programs, with a focus on changes in adoption from 2014 to 2017, and identified organizational-level factors associated with EHR adoption.

METHODS

We used data from the 2014 and 2017 National Drug Abuse Treatment System Surveys. Our analysis included 1027 SUD programs (531 in 2014 and 496 in 2017). We used chi-square and Mann-Whitney U tests for categorical and continuous variables, respectively, to assess changes in EHR adoption, technology use, program, and client characteristics. We also investigated differences in characteristics and barriers to adoption by EHR adoption status (adopted EHR vs had not adopted or were planning to adopt EHR). We then conducted multivariate logistic regressions to examine internal and external factors associated with EHR adoption.

RESULTS

The adoption of EHR increased significantly from 57.6% (306/531) in 2014 to 69.2% (343/496) in 2017 (P<.001), showing that nearly one-third (153/496, 30.8%) of SUD programs had not yet adopted an EHR system by 2017. We identified a significant increase in technology use and ownership by a parent company (P=.01 and P<.001) and a decrease in the percentage of uninsured patients in 2017 (P<.001), compared to 2014. Our analysis further showed significant differences by adoption status for three major barriers to adoption: (1) start-up costs, (2) ongoing financial costs, and (3) privacy or security concerns (P<.001). Programs that used computerized scheduling (adjusted odds ratio [AOR] 3.02, 95% CI 2.23-4.09) and billing systems (AOR 2.29, 95% CI 1.62-3.25) were more likely to adopt EHR. Similarly, ownership type, such as private nonprofit (AOR 1.86, 95% CI 1.31-2.65) and public (AOR 2.14, 95% CI 1.27-3.67), or interest in participating in a patient-centered medical home (AOR 1.93, 95% CI 1.29-2.92), were associated with an increased likelihood to adopt EHR. Overall, SUD programs were more likely to adopt an EHR system in 2017 compared to 2014 (AOR 1.44, 95% CI 1.07-1.94).

CONCLUSIONS

Our findings highlighted that SUD programs may be on track to achieve widespread EHR adoption. However, there is a need for focused strategies, resources, and policies explicitly designed to systematically address barriers and tackle obstacles to expanding the adoption of EHR systems. These efforts must be holistic and address factors at multiple organizational levels.

Ideas from the Frontline: Improvement Opportunities in Federally Qualified Health Centers

BACKGROUND

Engaging frontline clinicians and staff in quality improvement is a promising bottom-up approach to transforming primary care practices. This may be especially true in federally qualified health centers (FQHCs) and similar safety-net settings where large-scale, top-down transformation efforts are often associated with declining worker morale and increasing burnout. Innovation contests, which decentralize problem-solving, can be used to involve frontline workers in idea generation and selection.

OBJECTIVE

We aimed to describe the ideas that frontline clinicians and staff suggested via organizational innovation contests in a national sample of 54 FQHCs.

INTERVENTIONS

Innovation contests solicited ideas for improving care from all frontline workers-regardless of professional expertise, job title, and organizational tenure and excluding those in senior management-and offered opportunities to vote on ideas.

PARTICIPANTS

A total of 1,417 frontline workers across all participating FQHCs generated 2,271 improvement opportunities.

APPROACHES

We performed a content analysis and organized the ideas into codes (e.g., standardization, workplace perks, new service, staff relationships, community development) and categories (e.g., operations, employees, patients).

KEY RESULTS

Ideas from frontline workers in participating FQHCs called attention to standardization (n = 386, 17%), staffing (n = 244, 11%), patient experience (n = 223, 10%), staff training (n = 145, 6%), workplace perks (n = 142, 6%), compensation (n = 101, 5%), new service (n = 92, 4%), management-staff relationships (n = 82, 4%), and others. Voting results suggested that staffing resources, standardization, and patient communication were key issues among workers.

CONCLUSIONS

Innovation contests generated numerous ideas for improvement from the frontline. It is likely that the issues described in this study have become even more salient today, as the COVID-19 pandemic has had devastating impacts on work environments and health/social needs of patients living in low-resourced communities. Continued work is needed to promote learning and information exchange about opportunities to improve and transform practices between policymakers, managers, and providers and staff at the frontlines.

Engaging and informing patients: Health information technology use in community health centers

OBJECTIVE

This paper aims to address the relationship between the community health center (CHC) patient mix and the level of patient engagement health information technology (HIT) comprehensiveness.

PARTICIPANTS

The study was conducted on sample CHCs (n = 3,592 CHC-years) active between 2016 and 2018.

METHODS

Patient engagement HIT comprehensiveness was measured based on a framework of patient engagement through HIT that includes a two-part dichotomy of patient engagement and patient informing. Univariate analysis was used to describe CHC characteristics and multivariable ordered logistic regression analysis was used to test hypothesized relationships.

RESULTS

The study identified four levels of patient engagement HIT comprehensiveness: 1) to neither engage nor inform, 2) to primarily inform, 3) to primarily engage, and 4) to engage and inform. It was found that CHCs serving disproportionate shares of patients with disadvantageous socioeconomic characteristics are less likely to incorporate more comprehensive patient engagement HIT.

CONCLUSION

The results highlight the different levels of patient engagement HIT use among CHCs and a negative association between CHC's higher proportion of patients with a disadvantageous sociodemographic background and patient engagement HIT comprehensiveness.

Employee Engagement in Quality Improvement and Patient Sociodemographic Characteristics in Federally Qualified Health Centers

Quality improvement (QI) work is critical, particularly in federally qualified health centers (FQHCs) that treat underserved populations. In a national sample of 45 FQHCs, we examined how patients' sociodemographic characteristics were associated with employee engagement in QI, via innovation contests that solicited ideas for improving care and offered opportunities to vote on ideas. We posited that patients' sociodemographic characteristics influence the complexity and intensity of clinical work and thus employees' capacity to engage in QI. Regression results indicated that the percentage of patients living in poverty was negatively associated with employee participation in idea submission and voting. Moreover, the percentage of Hispanic patients was negatively associated with participation in voting. The percentage of Black patients, however, was not associated with either outcome. FQHCs that serve a higher share of low income and/or Hispanic patients may face resource and personnel constraints that reduce employees' capacity to contribute to QI efforts.

Predicting and responding to change: Perceived environmental uncertainty among substance use disorder treatment programs

INTRODUCTION

Substance use disorder (SUD) treatment programs offering addiction health services (AHS) must be prepared to adapt to change in their operating environment. These environmental uncertainties may have implications for service delivery, and ultimately patient outcomes. To adapt to a multitude of environmental uncertainties, treatment programs must be prepared to predict and respond to change. Yet, research on treatment programs preparedness for change is sparse. We examined reported difficulties in predicting and responding to changes in the AHS system, and factors associated with these outcomes.

METHODS

Cross-sectional surveys of SUD treatment programs in the United States in 2014 and 2017. We used linear and ordered logistic regression to examine associations between key independent variables (e.g., program, staff, and client characteristics) and four outcomes, (1) reported difficulties in predicting change, (2) predicting effect of change on organization, (3) responding to change, and (4) predicting changes to make to respond to environmental uncertainties. Data were collected through telephone surveys.

RESULTS

The proportion of SUD treatment programs reporting difficulty predicting and responding to changes in the AHS system decreased from 2014 to 2017. However, a considerable proportion still reported difficulty in 2017. We identified that different organizational characteristics are associated with their reported ability to predict or respond to environmental uncertainty. Findings show that predicting change is significantly associated with program characteristics only, while predicting effect of change on organizations is associated with program and staff characteristics. Deciding how to respond to change is associated with program, staff, and client characteristics, while predicting changes to make to respond is associated with staff characteristics only.

CONCLUSIONS

Although treatment programs reported decreased difficulty predicting and responding to changes, our findings identify program characteristics and attributes that could better position programs with the foresight to more effectively predict and respond to uncertainties. Given resource constraints at multiple levels in treatment programs, this knowledge might help identify and optimize aspects of programs to intervene upon to enhance their adaptability to change. These efforts may positively influences processes or care delivery, and ultimately translate into improvements in patient outcomes.

Where Are the New Federally Qualified Health Center Sites? Uncovering FQHC Expansion and Ambulatory Care Policy Implications

So-called "geographic expansion race," health care organizations expand physical facilities to different geographical locations as a way to foster growth. This study furthers knowledge on Federally Qualified Health Centers' (FQHCs') geographical expansion in relation to the local market's payer mix. The results indicated that areas with a higher proportion of Medicaid patients with fewer uninsured are more likely to see new FQHC sites opening. The findings are consistent with previous literature on the health care organization's geographical expansion and also indicated that some areas might lack proper FQHC services despite the high needs.

Pain Management in Primary Care: A Randomized Controlled Trial of a Computerized Decision Support Tool

BACKGROUND

Primary care providers manage most patients with chronic pain. Pain is a complex problem, particularly in underserved populations. A technology-enabled, point-of-care decision support tool may improve pain management outcomes.

METHODS

We created an electronic health record (EHR)-based decision support tool, the Pain Management Support System-Primary Care (PMSS-PC), and studied the tool-plus-education in 6 Federally Qualified Health Center practices using a randomized, wait-list controlled design. The PMSS-PC generated "best practice alerts," gave clinicians access to a pain assessment template, psychological distress and substance use measures, guidelines for drug and non-drug therapies, and facilitated referrals. Practices were randomly assigned to early vs delayed (after 6 months) implementation of the intervention, including technical support and 6 webinars. The primary outcome was change in worst pain intensity scores after 6 months, assessed on the Brief Pain Inventory-Short Form. Changes in outcomes were compared between the practices using linear multilevel modeling. The EHR provided clinician data on PMSS-PC utilization.

RESULTS

The 256 patients in the early implementation practices had significantly improved worst pain (standardized effect size [ES] = -.32) compared with the 272 patients in the delayed implementation practices (ES = -.11). There was very low clinician uptake of the intervention in both conditions.

CONCLUSIONS

Early implementation of the PMSS-PC improved worst pain, but this effect cannot be attributed to clinician use of the tool. Further PMSS-PC development is not indicated, but practice-level interventions can improve pain, and studies are needed to identify the determinants of change.

Supporting the Implementation of Connected Care Technologies in the Veterans Health Administration: Cross-Sectional Survey Findings from the Veterans Engagement with Technology Collaborative (VET-C) Cohort

BACKGROUND

Widespread adoption, use, and integration of patient-facing technologies into the workflow of health care systems has been slow, thus limiting the realization of their potential. A growing body of work has focused on how best to promote adoption and use of these technologies and measure their impacts on processes of care and outcomes. This body of work currently suffers from limitations (eg, cross-sectional analyses, limited patient-generated data linked with clinical records) and would benefit from institutional infrastructure to enhance available data and integrate the voice of the patient into implementation and evaluation efforts.

OBJECTIVE

The Veterans Health Administration (VHA) has launched an initiative called the Veterans Engagement with Technology Collaborative cohort to directly address these challenges. This paper reports the process by which the cohort was developed and describes the baseline data being collected from cohort members. The overarching goal of the Veterans Engagement with Technology Collaborative cohort is to directly engage veterans in the evaluation of new VHA patient-facing technologies and in so doing, to create new infrastructure to support related quality improvement and evaluation activities.

METHODS

Inclusion criteria for veterans to be eligible for membership in the cohort included being an active user of VHA health care services, having a mobile phone, and being an established user of existing VHA patient-facing technologies as represented by use of the secure messaging feature of VHA's patient portal. Between 2017 and 2018, we recruited veterans who met these criteria and administered a survey to them over the telephone.

RESULTS

The majority of participants (N=2727) were male (2268/2727, 83.2%), White (2226/2727, 81.6%), living in their own apartment or house (2519/2696, 93.4%), and had completed some college (1176/2701, 43.5%) or an advanced degree (1178/2701, 43.6%). Cohort members were 59.9 years old, on average. The majority self-reported their health status as being good (1055/2725, 38.7%) or very good (524/2725, 19.2%). Most cohort members owned a personal computer (2609/2725, 95.7%), tablet computer (1616/2716, 59.5%), and/or smartphone (2438/2722, 89.6%).

CONCLUSIONS

The Veterans Engagement with Technology Collaborative cohort is an example of a VHA learning health care system initiative designed to support the data-driven implementation of patient-facing technologies into practice and measurement of their impacts. With this initiative, VHA is building capacity for future, rapid, rigorous evaluation and quality improvement efforts to enhance understanding of the adoption, use, and impact of patient-facing technologies.

The context, strategy and performance of the American safety net primary care providers: a systematic review

PURPOSE

The objective of this research is to synthesize evidence on the relationship between context, strategies and performance in the context of federally qualified health centers (FQHCs), a core safety net health services provider in the United States. The research also identifies prior approaches to measure contextual factors, FQHC strategy and performance. Gaps in the research are identified, and directions for future research are provided.

DESIGN/METHODOLOGY/APPROACH

A systematic review of peer-reviewed journal articles published between the years 1997 and 2017 was conducted using a bibliographic search of PubMed, Business Source Premier and ABI/Inform databases.

FINDINGS

28 studies were selected for the analysis. Results supported associations among contextual factors (organizational and environmental) and FQHC strategy and FQHC performance. The research also indicates that previous research was primarily emphasized on clinical performance with less focus on other types of FQHC performance. In addition, there exists a wide variability in terms of measuring context, FQHC strategy and performance.

ORIGINALITY/VALUE

Operating in resource-scarce and highly constraining environments, FQHCs have demonstrated the ability to stay innovative and competent as serving often unhealthier and costlier patient populations. To date, there has been no study that reviewed the relationships between context, FQHC strategy and FQHC performance. In addition, there is an absence of consensus on how context, FQHC strategy and FQHC performance are measured. This study is the first that examined context-strategy-performance relationships in the context of FQHCs.

Health Information Technology Adoption and Clinical Performance in Federally Qualified Health Centers

A national sample (N = 982) of federally qualified health centers (FQHCs) for the period 2011-2016 was examined regarding the relationship between the age and extent of health information technology (HIT) use and clinical performance. We found that each additional year of HIT use was associated with an approximate 4 percent increase in both process and outcome measures of clinical performance. Furthermore, FQHCs that fully adopted HIT had 7 percent higher clinical performance on hypertension control than those that did not adopt HIT. This study's findings can assist stakeholders to make informed decisions for improving care and sustaining a competitive advantage.

Electronic medical record implementation for a healthcare system caring for homeless people

Objective

Electronic medical record (EMR) implementation at centers caring for homeless people is constrained by limited resources and the increased disease burden of the patient population. Few informatics articles address this issue. This report describes Boston Health Care for the Homeless Program’s migration to new EMR software without loss of unique care elements and processes.

Materials and methods

Workflows for clinical and operational functions were analyzed and modeled, focusing particularly on resource constraints and comorbidities. Workflows were optimized, standardized, and validated before go-live by user groups who provided design input. Software tools were configured to support optimized workflows. Customization was minimal. Training used the optimized configuration in a live training environment allowing users to learn and use the software before go-live.

Results

Implementation was rapidly accomplished over 6 months. Productivity was reduced at most minimally over the initial 3 months. During the first full year, quality indicator levels were maintained. Keys to success were completing before go-live workflow analysis, workflow mapping, building of documentation templates, creation of screen shot guides, role-based phased training, and standardization of processes. Change management strategies were valuable. The early availability of a configured training environment was essential. With this methodology, the software tools were chosen and workflows optimized that addressed the challenges unique to caring for homeless people.

Conclusions

Successful implementation of an EMR to care for homeless people was achieved through detailed workflow analysis, optimizing and standardizing workflows, configuring software, and initiating training all well before go-live. This approach was particularly suitable for a homeless population.

Safety-net institutions in the US grapple with new cholesterol treatment guidelines: a qualitative analysis from the PHoENIX Network

Background

Clinical performance measures, such as for cholesterol control targets, have played an integral role in assessing the value of care and translating evidence into clinical practice. New guidelines often require development of corresponding performance metrics and systems changes that can be especially challenging in safety-net health care institutions. Understanding how public health care institutions respond to changing practice guidelines may be critical to informing how we adopt evolving evidence in clinical settings that care for the most vulnerable populations.

Methods

We conducted six focus groups with representatives of California’s 21 public hospital systems to examine their reactions to the recent 2013 cholesterol treatment guideline.

Results

Participants reported a sense of confusion and lack of direction in implementing the new guideline. They cited organizational and data infrastructural inadequacies that made implementation of the new guidelines impractical in their clinical settings.

Conclusion

Adopting new performance measures to align with evolving cholesterol guidelines is a complex process that may work at odds with existing quality improvement priorities. Current efforts to translate evidence into practice may rely too much on performance measures and not enough on building capacity or support for innovative efforts to meet the goals of guidelines.

Using Health IT to Coordinate Care and Improve Quality in Safety-Net Clinics

BACKGROUND

Health centers provide care to vulnerable and high-need populations. Recent investments have promoted use of health information technology (HIT) capabilities for improving care coordination and quality of care in health centers. This study examined factors associated with use of these HIT capabilities and the association between these capabilities and quality of care in a census of health centers in the United States.

METHODS

Cross-sectional secondary data from the 2015 Health Resources and Services Administration's Uniform Data System was used to examine 6 measures of HIT capability related to care coordination and clinical decision support and 16 measures of quality (12 process measures, 3 outcome measures, 1 composite measure) for health centers in the United States. Adjusted logistic regressions were used to examine health center characteristics associated with use of HIT capabilities, and adjusted linear regressions were used to examine associations between HIT capabilities and quality of care.

RESULTS

Many health centers reported using HIT for care coordination activities, including coordinating enabling services (67.3%) or engaging patients (81.0%). Health center size and medical home recognition were associated with significantly greater odds of using HIT for enabling services and engaging patients. These HIT capabilities were associated with higher overall quality and higher rates of six process measures (adult screening and maternal and child health) and hemoglobin A1c control.

CONCLUSION

Use of HIT for such activities as arranging enabling services and engaging patients are underleveraged tools for care coordination. There may be opportunities to further improve quality of care for vulnerable patients by promoting health centers' use of these HIT capabilities.

The Effectiveness of Health Care Information Technologies: Evaluation of Trust, Security Beliefs, and Privacy as Determinants of Health Care Outcomes

Background

The diffusion of health information technologies (HITs) within the health care sector continues to grow. However, there is no theory explaining how success of HITs influences patient care outcomes. With the increase in data breaches, HITs’ success now hinges on the effectiveness of data protection solutions. Still, empirical research has only addressed privacy concerns, with little regard for other factors of information assurance.

Objective

The objective of this study was to study the effectiveness of HITs using the DeLone and McLean Information Systems Success Model (DMISSM). We examined the role of information assurance constructs (ie, the role of information security beliefs, privacy concerns, and trust in health information) as measures of HIT effectiveness. We also investigated the relationships between information assurance and three aspects of system success: attitude toward health information exchange (HIE), patient access to health records, and perceived patient care quality.

Methods

Using structural equation modeling, we analyzed the data from a sample of 3677 cancer patients from a public dataset. We used R software (R Project for Statistical Computing) and the Lavaan package to test the hypothesized relationships.

Results

Our extension of the DMISSM to health care was supported. We found that increased privacy concerns reduce the frequency of patient access to health records use, positive attitudes toward HIE, and perceptions of patient care quality. Also, belief in the effectiveness of information security increases the frequency of patient access to health records and positive attitude toward HIE. Trust in health information had a positive association with attitudes toward HIE and perceived patient care quality. Trust in health information had no direct effect on patient access to health records; however, it had an indirect relationship through privacy concerns.

Conclusions

Trust in health information and belief in the effectiveness of information security safeguards increases perceptions of patient care quality. Privacy concerns reduce patients’ frequency of accessing health records, patients’ positive attitudes toward HIE exchange, and overall perceived patient care quality. Health care organizations are encouraged to implement security safeguards to increase trust, the frequency of health record use, and reduce privacy concerns, consequently increasing patient care quality.

Do Years of Experience With Electronic Health Records Matter for Productivity in Community Health Centers?

This study investigated how years of experience with an electronic health record (EHR) related to productivity in community health centers (CHCs). Using data from the 2012 Uniform Data System, we regressed average annual medical visits, weighted for service intensity, as a function of full-time equivalent medical staff controlling for CHC size and location. Physician productivity significantly improved. Although the productivity of all other staff types was not significantly different by years of EHR experience, the trends showed lower productivity among nurses and other medical staff in CHCs with fewer years of EHR experience versus more years of experience.

A technology training protocol for meeting QSEN goals: Focusing on meaningful learning

The purpose of this paper is to describe and discuss how we designed and developed a 12-step technology training protocol. The protocol is meant to improve meaningful learning in technology education so that nursing students are able to meet the informatics requirements of Quality and Safety Education in Nursing competencies. When designing and developing the training protocol, we used a simplified experiential learning model that addressed the core features of meaningful learning: to connect new knowledge with students' prior knowledge and real-world workflow. Before training, we identified students' prior knowledge and workflow tasks. During training, students learned by doing, reflected on their prior computer skills and workflow, designed individualized procedures for integration into their workflow, and practiced the self-designed procedures in real-world settings. The trainer was a facilitator who provided a meaningful learning environment, asked the right questions to guide reflective conversation, and offered scaffoldings at critical moments. This training protocol could significantly improve nurses' competencies in using technologies and increase their desire to adopt new technologies.

The Association of Electronic Health Record Adoption with Staffing Mix in Community Health Centers

OBJECTIVE

To assess how medical staffing mix changed over time in association with the adoption of electronic health records (EHRs) in community health centers (CHCs).

STUDY SETTING

Community health centers within the 50 states and Washington, DC.

STUDY DESIGN

Estimated how the change in the share of total medical staff full-time equivalents (FTE) by provider category between 2007 and 2013 was associated with EHR adoption using fractional multinomial logit.

DATA COLLECTION

2007-2013 Uniform Data System, an administrative data set of Section 330 federal grant recipients; and Readiness for Meaningful Use and HIT and Patient Centered Medical Home Recognition Survey responses collected from Section 330 recipients between December 2010 and February 2011.

PRINCIPAL FINDINGS

Having an EHR system did significantly shift the share of workers over time between physicians and each of the other categories of health care workers. While an EHR system significantly shifted the share of physician and other medical staff, this effect did not significantly vary over time. CHCs with EHRs by the end of the study period had a relatively greater proportion of other medical staff compared to the proportion of physicians.

CONCLUSIONS

Electronic health records appeared to influence staffing allocation in CHCs such that other medical staff may be used to support adoption of EHRs as well as be leveraged as an important care provider.

Using Health Information Technology and Data to Improve Chronic Disease Outcomes in Federally Qualified Health Centers in Maryland

Federally Qualified Health Centers provide health care services to underserved communities and vulnerable populations. In Maryland, the burden of chronic disease is high among Federally Qualified Health Center patients. Electronic health records (EHRs) are becoming more widely used, and effective use of EHR data may improve chronic disease outcomes. This article describes the process of developing a data aggregation and analytics platform to support health centers in using population health data based on standardized clinical quality measures. This data warehouse, capable of aggregating EHR data across multiple health centers, provides opportunities for benchmarking and elicits a discussion of quality improvement, including identifying and sharing clinical best practices. Phase 1 of the project involved the strategic engagement of health center leadership and staff to get buy-in and to assess readiness. Phase 2 established the technological infrastructure and processes to support data warehouse implementation and began the process of information sharing and collaboration among 4 early adopters. Phase 3 will expand the project to additional health centers and continue quality improvement efforts. The health information technology marketplace is rapidly changing, and staying current will be a priority so that the data warehouse remains a useful quality improvement tool that continues to meet the demands of Maryland health centers. Ongoing efforts will also focus on ways to further add value to the system, such as incorporating new metrics to better inform health center decision making and allocation of resources. The data warehouse can inform and transform the quality of health care delivered to Maryland’s most vulnerable populations, and future research should focus on the ability of health centers to translate this potential into actual improvements.

Medicaid Stage 1 Meaningful Use EHR Incentive Payments Are Associated With Higher Quality but Not Improvements in Quality

This was a retrospective cohort study of ambulatory care quality by physicians who received payment for Medicaid Stage 1 Meaningful Use (MU) in 2012 using New York State Medicaid Claims (2010-2013). Eight quality measures were used to compare performance of physicians who received payments to Adopt, Implement, or Use (AIU) an electronic health record in 2011 but not for MU in 2012 (AIU-only group) and physicians who cared for Medicaid patients but received no payments (no-incentive group), using propensity score-weighted difference-in-difference logistic regression analyses, clustering by physician. In all, 13 697 physicians and 913 476 patients were studied. In 2010, the MU group scored higher than both groups (vs AIU-only in 3 of 8 measures, 0.8-1.3 adjusted percentage points; vs no-incentive, 2 of 8 measures, 0.9-2.0 adjusted percentage points). The difference-in-difference analysis found no additional improvements in quality over time relative to either control group. Longer follow-up is needed to determine the effects of Stage 2 MU.

Assessing the health information needs of unaffiliated health professionals and using training on openly available search tools and resources to provide solutions to their information access challenges and barriers

This article will describe a year-long (2010-11) joint project between Columbia University Medical Center's Health Sciences Library and the Institute for Family Health (IFH), a network of Federally Qualified Health Centers (FQHCs) serving disadvantaged populations in New York State. This National Institutes of Health-funded pilot project aimed to (a) determine the medical literature and training needs of IFH personnel, (b) develop generic licensing agreements with publishers that would enable a health sciences library to provide access to electronic resources for FQHC personnel, and (c) develop reference/education services for IFH personnel. How the reference and education aims were met will be described and discussed here as the lessons learned from this project may be useful to librarians considering doing instructional outreach to unaffiliated health professionals working at FQHCs nationwide.

Adoption and use of electronic health records among federally qualified health centers grew substantially during 2010-12

Federally qualified health centers play an important role in providing health care to underserved populations. Recent substantial federal investments in health information technology have enabled health centers to expand their use of electronic health record (EHR) systems, but factors associated with adoption are not clear. We examined 2010-12 administrative data from the Health Resources and Services Administration's Uniform Data System for more than 1,100 health centers. We found that in 2012 nine out of ten health centers had adopted a EHR system, and half had adopted EHRs with basic capabilities. Seven in ten health centers reported that their providers were receiving meaningful-use incentive payments from the Centers for Medicare and Medicaid Services (CMS). Only one-third of health centers had EHR systems that could meet CMS's stage 1 meaningful-use core requirements. Health centers that met the stage 1 requirements had more than twice the odds of receiving quality recognition, compared with centers with less than basic EHRs. Policy initiatives should focus assistance on EHR capabilities with slower uptake; connect providers with technical assistance to support implementation; and leverage the connection between meaningful use and quality recognition programs.

Sharing a Playbook: Integrated Care in Community Health Centers in the United States

OBJECTIVES

We investigated basic measures used to assess collaboration between colocated providers and to gauge the extent to which health centers practice integrated care.

METHODS

We used the Assessment of Behavioral Health Services survey and the 2010 Uniform Data System to explore the elements of integrated care for behavioral health conditions. We used multivariable regression models to examine the correlates of integrated care.

RESULTS

More than 85% of health centers provided mental health services in 2010, and almost half offered substance use treatment. Health centers commonly reported shared access to information among behavioral health and medical providers and joint care planning. A higher degree of integrated care involving joint case conferences was less common. Health centers without electronic health records and those with lower percentages of total staff composed of behavioral health workers were less likely to provide integrated care.

CONCLUSIONS

A 2-pronged strategy involving financial incentives and technical assistance to spread best practices might increase integrated care, particularly among health centers that are not maximizing the potential of electronic health records and health centers with low behavioral health staffing levels.

Electronic Health Records: Describing Technological Stressors of Nurse Educators

The purpose of this study was to describe the technological stressors that nurse educators experienced when using electronic health records while teaching clinical courses. Survey results indicated that educators had mild to moderate technological stress when teaching the use of electronic health records to students in clinical nursing courses.

Electronic health records and health care quality over time in a federally qualified health center

The longitudinal effects of electronic health records (EHRs) on ambulatory quality are not clear. It is not known whether adoption and meaningful use of EHRs result in a brief period of quality improvement that then plateaus, or whether with ongoing use quality improvement continues. We studied health care quality at six sites of a Federally Qualified Health Center in New York State over 3 years (2008–2010) for 25 290 unique patients. Patients were twice as likely to receive recommended care on a set of 12 quality measures (11 of which are included in Stage 1 Meaningful Use) 3 years post-EHR implementation, compared to 1-year post-implementation (odds ratio 1.97; 95% confidence interval, 1.91–2.03). The magnitude of absolute improvement ranged from 5% to 20% per measure. EHRs were associated with continuing improvement in health care quality for at least 3 years post-implementation in the safety-net setting of a Federally Qualified Health Center.

Health care system collaboration to address chronic diseases: a nationwide snapshot from state public health practitioners

INTRODUCTION

Until recently, health care systems in the United States often lacked a unified approach to prevent and manage chronic disease. Recent efforts have been made to close this gap through various calls for increased collaboration between public health and health care systems to better coordinate provision of services and programs. Currently, the extent to which the public health workforce has responded is relatively unknown. The objective of this study is to explore health care system collaboration efforts and activities among a population-based sample of state public health practitioners.

METHODS

During spring 2013, a national survey was administered to state-level chronic disease public health practitioners. Respondents were asked to indicate whether or not they collaborate with health care systems. Those who reported "yes" were asked to indicate all topic areas in which they collaborate and provide qualitative examples of their collaborative work.

RESULTS

A total of 759 respondents (84%) reported collaboration. Common topics of collaboration activities were tobacco, cardiovascular health, and cancer screening. More client-oriented interventions than system-wide interventions were found in the qualitative examples provided. Respondents who collaborated were also more likely to use the Community Guide, use evidence-based decision making, and work in program areas that involved secondary, rather than primary, prevention.

CONCLUSION

The study findings indicate a need for greater guidance on collaboration efforts that involve system-wide and cross-system interventions. Tools such as the Community Guide and evidence-based training courses may be useful in providing such guidance.

Diabetes and hypertension quality measurement in four safety-net sites: lessons learned after implementation of the same commercial electronic health record

BACKGROUND

In this new era after the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009, the literature on lessons learned with electronic health record (EHR) implementation needs to be revisited.

OBJECTIVES

Our objective was to describe what implementation of a commercially available EHR with built-in quality query algorithms showed us about our care for diabetes and hypertension populations in four safety net clinics, specifically feasibility of data retrieval, measurements over time, quality of data, and how our teams used this data.

METHODS

A cross-sectional study was conducted from October 2008 to October 2012 in four safety-net clinics located in the Midwest and Western United States. A data warehouse that stores data from across the U.S was utilized for data extraction from patients with diabetes or hypertension diagnoses and at least two office visits per year. Standard quality measures were collected over a period of two to four years. All sites were engaged in a partnership model with the IT staff and a shared learning process to enhance the use of the quality metrics.

RESULTS

While use of the algorithms was feasible across sites, challenges occurred when attempting to use the query results for research purposes. There was wide variation of both process and outcome results by individual centers. Composite calculations balanced out the differences seen in the individual measures. Despite using consistent quality definitions, the differences across centers had an impact on numerators and denominators. All sites agreed to a partnership model of EHR implementation, and each center utilized the available resources of the partnership for Center-specific quality initiatives.

CONCLUSIONS

Utilizing a shared EHR, a Regional Extension Center-like partnership model, and similar quality query algorithms allowed safety-net clinics to benchmark and improve the quality of care across differing patient populations and health care delivery models.

Discharge summary for medically complex infants transitioning to primary care

Improvements in the care of the premature infant and advancements in technology are increasing life expectancy of infants with medical conditions once considered lethal; these infants are at risk of becoming a medically complex infant. Complex infants have a significant existing problem list, are on several medications, and receive medical care by several specialists. Deficits in communication and information transfer at the time of discharge remain problematic for this population. A questionnaire was developed for primary care providers (PCPs) to explore the effectiveness of the current discharge summary because it is related to effective communication when assuming the care of a new patient with medical complexity. PCPs assuming the care of these infants agree that an evidence-based tool, in the form of a specialized summary for this population, would be of value.

A nationwide survey of trauma center information technology leverage capacity for mental health comorbidity screening

BACKGROUND

Despite evidence that electronic medical record (EMR) information technology innovations can enhance the quality of trauma center care, few investigations have systematically assessed United States (US) trauma center EMR capacity, particularly for screening of mental health comorbidities.

STUDY DESIGN

Trauma programs at all US level I and II trauma centers were contacted and asked to complete a survey regarding health information technology (IT) and EMR capacity.

RESULTS

Three hundred ninety-one of 525 (74%) US level I and II trauma centers responded to the survey. More than 90% of trauma centers reported the ability to create custom patient tracking lists in their EMR. Forty-seven percent of centers were interested in automating a blood alcohol content screening process; only 14% reported successfully using their EMR to perform this task. Marked variation was observed across trauma center sites with regard to the types of EMR systems used as well as rates of adoption and turnover of EMR systems.

CONCLUSIONS

Most US level I and II trauma centers have installed EMR systems; however, marked heterogeneity exists with regard to EMR type, available features, and turnover. A minority of centers have leveraged their EMR for screening of mental health comorbidities among trauma inpatients. Greater attention to effective EMR use is warranted from trauma accreditation organizations.

Readiness for meaningful use of health information technology and patient centered medical home recognition survey results

OBJECTIVE

Determine the factors that impact HIT use and MU readiness for community health centers (CHCs).

BACKGROUND

The HITECH Act allocates funds to Medicaid and Medicare providers to encourage the adoption of electronic health records (EHR), in an effort to improve health care quality and patient outcomes, and to reduce health care costs.

METHODS

We surveyed CHCs on their Readiness for Meaningful Use (MU) of Health Information Technology (HIT) and Patient Centered Medical Home (PCMH) Recognition, then we combined responses with 2009 Uniform Data System data to determine which factors impact use of HIT and MU readiness.

RESULTS

Nearly 70% of CHCs had full or partial EHR adoption at the time of survey. Results are presented for centers with EHR adoption, by the length of time that their EHR systems have been in operation.

Information technology improves Emergency Department patient discharge instructions completeness and performance on a national quality measure: a quasi-experimental study

OBJECTIVE

To compare the completeness of Emergency Department (ED) discharge instructions before and after introduction of an electronic discharge instructions module by scoring compliance with the Centers for Medicare and Medicaid Services (CMS) Outpatient Measure 19 (OP-19).

METHODS

We performed a quasi-experimental study examining the impact of an electronic discharge instructions module in an academic ED. Three hundred patients discharged home from the ED were randomly selected from two time intervals: 150 patients three months before and 150 patients three to five months after implementation of the new electronic module. The discharge instructions for each patient were reviewed, and compliance for each individual OP-19 element as well as overall OP-19 compliance was scored per CMS specifications. Compliance rates as well as risk ratios (RR) and risk differences (RD) with 95% confidence intervals (CI) comparing the overall OP-19 scores and individual OP-19 element scores of the electronic and paper-based discharge instructions were calculated.

RESULTS

The electronic discharge instructions had 97.3% (146/150) overall OP-19 compliance, while the paper-based discharge instructions had overall compliance of 46.7% (70/150). Electronic discharge instructions were twice as likely to achieve overall OP-19 compliance compared to the paper-based format (RR: 2.09, 95% CI: 1.75 - 2.48). The largest improvement was in documentation of major procedures and tests performed: only 60% of the paper-based discharge instructions satisfied this criterion, compared to 100% of the electronic discharge instructions (RD: 40.0%, 95% CI: 32.2% - 47.8%). There was a modest difference in medication documentation with 92.7% for paper-based and 100% for electronic formats (RD: 7.3%, 95% CI: 3.2% - 11.5%). There were no statistically significant differences in documentation of patient care instructions and diagnosis between paper-based and electronic formats.

CONCLUSION

With careful design, information technology can improve the completeness of ED patient discharge instructions and performance on the OP-19 quality measure.