Differences by Race in Outcomes of an In-Person Training Intervention on Use of an Inpatient Portal: A Secondary Analysis of a Randomized Clinical Trial.

Importance: Differences in patient use of health information technologies by race can adversely impact equitable access to health care services. While this digital divide is well documented, there is limited evidence of how health care systems have used interventions to narrow the gap. Objective: To compare differences in the effectiveness of patient training and portal functionality interventions implemented to increase portal use among racial groups. Design, Setting, and Participants: This secondary analysis used data from a randomized clinical trial conducted from December 15, 2016, to August 31, 2019. Data were from a single health care system and included 6 noncancer hospitals. Participants were patients who were at least 18 years of age, identified English as their preferred language, were not involuntarily confined or detained, and agreed to be provided a tablet to access the inpatient portal during their stay. Data were analyzed from September 1, 2022, to October 31, 2023. Interventions: A 2 × 2 factorial design was used to compare the inpatient portal training intervention (touch, in-person [high] vs built-in video tutorial [low]) and the portal functionality intervention (technology, full functionality [full] vs a limited subset of functions [lite]). Main Outcomes and Measures: Primary outcomes were inpatient portal use, measured by frequency and comprehensiveness of use, and use of specific portal functions. A logistic regression model was used to test the association of the estimators with the comprehensiveness use measure. Outcomes are reported as incidence rate ratios (IRRs) for the frequency outcomes or odds ratios (ORs) for the comprehensiveness outcomes with corresponding 95% CIs. Results: Of 2892 participants, 550 (19.0%) were Black individuals, 2221 (76.8%) were White individuals, and 121 (4.2%) were categorized as other race (including African, American Indian or Alaska Native, Asian or Asian American, multiple races or ethnicities, and unknown race or ethnicity). Black participants had a significantly lower frequency (IRR, 0.80 [95% CI, 0.72-0.89]) of inpatient portal use compared with White participants. Interaction effects were not observed between technology, touch, and race. Among participants who received the full technology intervention, Black participants had lower odds of being comprehensive users (OR, 0.76 [95% CI, 0.62-0.91), but interaction effects were not observed between touch and race. Conclusions and Relevance: In this study, providing in-person training or robust portal functionality did not narrow the divide between Black participants and White participants with respect to their inpatient portal use. Health systems looking to narrow the digital divide may need to consider intentional interventions that address underlying issues contributing to this inequity. Trial Registration: ClinicalTrials.gov Identifier: NCT02943109.

Community-level determinants of stakeholder perceptions of community stigma toward people with opioid use disorders, harm reduction services and treatment in the HEALing Communities Study.

BACKGROUND: Community stigma toward people with opioid use disorder (OUD) can impede access to harm reduction services and treatment with medications for opioid use disorder (MOUD). Such community OUD stigma is partially rooted in community-level social and economic conditions, yet there remains a paucity of large-scale quantitative data examining community-level factors associated with OUD stigma. We examined whether rurality, social inequity, and racialized segregation across communities from four states in the HEALing Communities Study (HCS) were associated with 1) greater perceived community stigma toward people treated for OUD, 2) greater perceived intervention stigma toward MOUD, and 3) greater perceived intervention stigma toward naloxone by community stakeholders in the HCS. METHODS: From November 2019-January 2020, a cross-sectional survey about community OUD stigma was administered to 801 members of opioid overdose prevention coalitions across 66 communities in four states prior to the start of HCS intervention activities. Bivariate analyses assessed pairwise associations between community rural/urban status and each of the three stigma variables, using linear mixed effect modeling to account for response clustering within communities, state, and respondent sociodemographic characteristics. We conducted similar bivariate analyses to assess pairwise associations between racialized segregation and social inequity. RESULTS: On average, the perceived community OUD stigma scale score of stakeholders from rural communities was 4% higher (ß=1.57, SE=0.7, p≤0.05), stigma toward MOUD was 6% higher (ß=0.28, SE=0.1, p≤0.05), and stigma toward naloxone was 10% higher (ß=0.46, SE=0.1, p≤0.01) than among stakeholders from urban communities. No significant differences in the three stigma variables were found among communities based on racialized segregation or social inequity. CONCLUSION: Perceived community stigma toward people treated for OUD, MOUD, and naloxone was higher among stakeholders in rural communities than in urban communities. Findings suggest that interventions and policies to reduce community-level stigma, particularly in rural areas, are warranted.

Multicomponent provider-patient intervention to improve glycaemic control in Medicaid-insured pregnant individuals with type 2 diabetes: clinical trial protocol for the ACHIEVE study.

INTRODUCTION: Type 2 diabetes (T2D) is one of the most frequent comorbid medical conditions in pregnancy. Glycaemic control decreases the risk of adverse pregnancy outcomes for the pregnant individual and infant. Achieving glycaemic control can be challenging for Medicaid-insured pregnant individuals who experience a high burden of unmet social needs. Multifaceted provider-patient-based approaches are needed to improve glycaemic control in this high-risk pregnant population. Mobile health (mHealth) applications (app), provider dashboards, continuous glucose monitoring (CGM) and addressing social needs have been independently associated with improved glycaemic control in non-pregnant individuals living with diabetes. The combined effect of these interventions on glycaemic control among pregnant individuals with T2D remains to be evaluated. METHODS AND ANALYSIS: In a two-arm randomised controlled trial, we will examine the combined effects of a multicomponent provider-patient intervention, including a patient mHealth app, provider dashboard, CGM, a community health worker to address non-medical health-related social needs and team-based care versus the current standard of diabetes and prenatal care. We will recruit 124 Medicaid-insured pregnant individuals living with T2D, who are ≤20 weeks of gestation with poor glycaemic control measured as a haemoglobin A1c ≥ 6.5% assessed within 12 weeks of trial randomisation or within 12 weeks of enrolling in prenatal care from an integrated diabetes and prenatal care programme at a tertiary care academic health system located in the Midwestern USA. We will measure how many individuals achieve the primary outcome of glycaemic control measured as an A1c<6.5% by the time of delivery, and secondarily, adverse pregnancy outcomes; patient-reported outcomes (eg, health and technology engagement, literacy and comprehension; provider-patient communication; diabetes self-efficacy; distress, knowledge and beliefs; social needs referrals and utilisation; medication adherence) and CGM measures of glycaemic control (in the intervention group). ETHICS AND DISSEMINATION: The Institutional Review Board at The Ohio State University approved this study (IRB: 2022H0399; date: 3 June 2023). We plan to submit manuscripts describing the user-designed methods and will submit the results of the trial for publication in peer-reviewed journals and presentations at international scientific meetings. TRIAL REGISTRATION NUMBER: NCT05662462.

Assessment of structured data elements for social risk factors.

OBJECTIVES: Computable social risk factor phenotypes derived from routinely collected structured electronic health record (EHR) or health information exchange (HIE) data may represent a feasible and robust approach to measuring social factors. This study convened an expert panel to identify and assess the quality of individual EHR and HIE structured data elements that could be used as components in future computable social risk factor phenotypes. STUDY DESIGN: Technical expert panel. METHODS: A 2-round Delphi technique included 17 experts with an in-depth knowledge of available EHR and/or HIE data. The first-round identification sessions followed a nominal group approach to generate candidate data elements that may relate to socioeconomics, cultural context, social relationships, and community context. In the second-round survey, panelists rated each data element according to overall data quality and likelihood of systematic differences in quality across populations (ie, bias). RESULTS: Panelists identified a total of 89 structured data elements. About half of the data elements (n = 45) were related to socioeconomic characteristics. The panelists identified a diverse set of data elements. Elements used in reimbursement-related processes were generally rated as higher quality. Panelists noted that several data elements may be subject to implicit bias or reflect biased systems of care, which may limit their utility in measuring social factors. CONCLUSIONS: Routinely collected structured data within EHR and HIE systems may reflect patient social risk factors. Identifying and assessing available data elements serves as a foundational step toward developing future computable social factor phenotypes.

Care Team Perspectives About an Inpatient Portal: Benefits and Challenges of Patients' Portal Use During Hospitalization.

While current research about inpatient portals has focused largely on the patient perspective, it is also critical to consider the care team point of view, as support from these individuals is essential to successful portal implementation and use. We held brief in-person interviews with 433 care team members across a six-hospital health system to explore opinions about patients' use of an inpatient portal as perceived by care team members. Using the Inpatient Portal Evaluation Framework, we characterized benefits and challenges of portal use that care team members reported affected patients, themselves, and the collaborative work of these care teams with their patients. Interviewees noted inpatient portals can improve patient care and experience and also indicated room for improvement in portal use for hospitalized patients. Further understanding of the care team perspective is critical to inform approaches to inpatient portal implementation that best benefit both patients and providers.

Differences Between Races in Health Information Seeking and Trust Over Time: Evidence From a Cross-Sectional, Pooled Analyses of HINTS Data.

PURPOSE: Assessed racial disparities in health information-seeking behavior and trust of information sources from 2007 to 2017. DESIGN: Pooled cross-sectional survey data. SETTING: Health Information National Trends Survey (HINTS). PARTICIPATION: Data included 6 iterations of HINTS (pooled: N = 19 496; 2007: n = 3593; 2011: n = 3959; 2013: n = 3185; Food and Drug Administration [FDA] 2015: n = 3738; 2017: n = 3285; and FDA 2017: n = 1736). MEASURES: Outcome variables were health information seeking, high confidence, and high trust of health information from several sources. Independent variable was race group, controlling for other sociodemographic and socioeconomic variables. ANALYSIS: Weighted descriptive and multivariate logistic regression for the pooled sample assessed associations by race. Fully interacted models with race-survey year interactions compared differences in outcomes between years. RESULTS: Black respondents, relative to white, had greater odds of having high confidence in their ability to attain health information, trust of health information from newspapers and magazines, radio, internet, television, government, charitable organizations, and religious organizations. Hispanic respondents, relative to white, had lower odds of seeking health information and trusting health information from doctors. They had higher odds of trusting health information from the radio, the internet, television, charitable organizations, and religious organizations. CONCLUSION: Disparities between races in trust of information sources remained across time. Understanding optimal information media, their reach, and credibility among racial groups could enable more targeted approaches to developing interventions. Our analytical approach minimized limitations present in the HINTS.

Exploring the Digital Divide: Age and Race Disparities in Use of an Inpatient Portal.

Background: Age and race disparities in the use of new technologies-the digital divide-may be limiting the potential of patient-facing health information technology to improve health and health care. Objective: To investigate whether disparities exist in the use of patient portals designed specifically for the inpatient environment. Methods: Patients admitted to the six hospitals affiliated with a large, Midwestern academic medical center from July 2017 to July 2018 were provided with access to a tablet equipped with an inpatient portal and recruited to participate in the study (n = 842). Demographic characteristics of study enrollees were obtained from patients' electronic health records and surveys given to patients during their hospital stay. Log files from the inpatient portal were used to create a global measure of use and calculate use rates for specific portal features.Results: We found both age and race disparities in use of the inpatient portal. Patients aged 60-69 (45.3% difference, p < 0.001) and those over age 70 (36.7% difference, p = 0.04) used the inpatient portal less than patients aged 18-29. In addition, African American patients used the portal less than White patients (40.4% difference, p = 0.004).Discussion: These findings suggest that the availability of the technology alone may be insufficient to overcome barriers to use and that additional intervention may be needed to close the digital divide. Conclusions: We identified lower use of the inpatient portal among African American and older patients, relative to White and younger patients, respectively.

Opportunities for Community Health Worker Training to Improve Access to Health Care for Medicaid Enrollees.

Limited access to care can negatively affect population health, which is particularly concerning for individuals of lower socioeconomic status. Shortages of US health care providers in areas that predominantly serve Medicaid enrollees contribute to a lack of access. The Ohio Medicaid Technical Assistance and Policy Program Healthcare Access Initiative was designed as a workforce development initiative to train and deploy community health workers (CHWs). The authors conducted 55 key informant interviews with preceptors, CHWs, and administrators across 5 sites with the specific aim of improving understanding of common barriers to and benefits of CHW program implementation across different CHW programs in Ohio. CHW programs reportedly act as a bridge between the patient and providers, and program benefits were reported for participants, organizations, and patients. This study found that CHW programs enabled training of health professionals that can empower participants while allowing them to also give back to their communities. Organizations employing CHWs reported being able to extend clinic services, increase utilization of community resources, and improve patient compliance through the efforts of CHWs; program impacts also led to increased patient support, patient education, and overall better care. To better integrate CHWs into health care organizations, organizations should focus on clearly defining the CHW role and ensuring adequate infrastructure to support CHW efforts.

The CITIES Project: Understanding the Health of Underrepresented Populations in Ohio.

BACKGROUND: Ohio, the catchment area of The Ohio State University Comprehensive Cancer Center (OSUCCC), includes diverse populations with different cancer profiles. As part of the National Cancer Institute (NCI)-funded initiative to conduct population health assessments in cancer center catchment areas, the OSUCCC surveyed residents, focusing on factors contributing to cancer disparities in Ohio populations. METHODS: Two sampling strategies were used: (i) probability sampling of mailing lists and (ii) convenience sampling at community events, coupled with phone/in-person/web surveys. Survey items were chosen along multilevel framework constructs, used in concert with other funded NCI-Designated Cancer Centers. Multivariable logistic regression models investigated predictors associated with health behaviors, cancer beliefs, knowledge, and screening. RESULTS: The sample of 1,005 respondents were white (46.6%), African American (24.7%), Hispanic (13.7%), Somali (7.6%), and Asian (7.5%). A total of 216 respondents were Appalachian. Variations in cancer attitudes, knowledge, and behaviors were noted by racial/ethnic and geographic group. Multivariable models identified individuals with less financial security as less likely to exercise or be within guidelines for screening, but more likely to smoke and have a poor diet. At the community-level, measures of poverty were highest in Appalachia, whereas children in female-headed households were greater in urban minority areas. CONCLUSIONS: This population health assessment reinforced the diversity of the OSUCCC catchment area. These populations are ripe for implementation science strategies, focusing in communities and clinics that serve vulnerable populations. IMPACT: Understanding attitudes, knowledge, and behaviors of this population can assist tailoring outreach and research strategies to lessen the cancer burden.

Effectiveness of an infant mortality prevention home-visiting program on high-risk births in Ohio.

OBJECTIVES: The Ohio Infant Mortality Reduction Initiative (OIMRI) is a home-visiting program that aims to reduce infant mortality among infants of high-risk black women. This study examined birth outcomes among OIMRI participants and compared program participants to matched non-OIMRI women. DESIGN: Program data were linked to birth records, death records, and Medicaid claims data. Propensity score matching was used to match program participants with like women in Ohio. SAMPLE: The sample consisted of 2,837 black mothers from 14 counties in Ohio. MEASUREMENTS: Infant mortality, causes of death, and birth weight were examined. RESULTS: There were 25 deaths among 2,837 OIMRI participants from 2010 to 2015, for an infant mortality rate of 8.8 deaths per 1,000 live births (95% CI 5.4-12.2). Among those women who participated in OIMRI, three fewer deaths per 1,000 births within the first year of life were estimated compared to those not in OIMRI; however, this was not statistically significant. CONCLUSIONS: The number of infant deaths among women enrolled in the OIMRI program was not significantly different from those who did not participate in OIMRI. Programs like OIMRI cannot singlehandedly address the infant mortality disparity but may help prevent some infant mortality risks.

Odds of talking to healthcare providers as the initial source of healthcare information: updated cross-sectional results from the Health Information National Trends Survey (HINTS).

BACKGROUND: People use a variety of means to find health information, including searching the Internet, seeking print sources, and talking to healthcare providers, family members, and friends. Doctors are considered the most trusted source of health information, but people may be underutilizing them in favor of searching the Internet. METHODS: A multinomial logistic regression of cross-sectional data from Cycle 4 of the Health Information National Trends Survey (HINTS) was conducted. Independent variables included gender, age, rurality, cancer history, general health, income, race, education level, insurance status, veteran status, Internet use, and data year; the dependent variable was the first chosen source of health information. RESULTS: The most frequent initial source of health information was the Internet, and the second most frequent was healthcare providers. There were significant differences in odds of using healthcare providers as the first source of health information. Those likely to use doctors as their initial source of health information were older adults, black adults, adults with health insurance, those who do not use the Internet, and adults who do not have a college degree. CONCLUSIONS: People who use healthcare providers as the first source of health information may have better access to health care and be those less likely to use the Internet. Doctors may have to provide more information to those who do not use the internet and spend time verifying information for those who do use health information from the internet.

Trends and Gaps in Awareness of Direct-to-Consumer Genetic Tests From 2007 to 2014.

INTRODUCTION: Direct-to-consumer genetic tests for inherited disease risks have gained recent approvals from the Food and Drug Administration, and interest in these tests has continued to grow. Broad use of these tests coupled with planning and discussion with health providers regarding genetic risks and potential protective behavior changes have been proposed as preventive tools to reduce health disparities and improve equity in health outcomes. However, awareness of direct-to-consumer genetic testing has historically demonstrated differences by education, income, and race; these disparities could jeopardize potential benefits by limiting access and use. METHODS: The national survey data from the Health Information National Trends Survey was analyzed to understand how overall awareness of direct-to-consumer genetic testing and disparities in awareness across sociodemographic groups have changed since 2007. RESULTS: The findings showed persistent disparities, as well as a widening gap in awareness between Hispanics and non-Hispanic whites (OR2007 =1.52, OR2014 =0.58, pchange =0.0056), despite overall increases in awareness over time. CONCLUSIONS: Given these findings, policies regulating direct-to-consumer genetic tests should prioritize equitable distribution of benefits by including provisions that counteract prevailing disparities in awareness.

Growth Dynamics of Patient-Provider Internet Communication: Trend Analysis Using the Health Information National Trends Survey (2003 to 2013).

BACKGROUND: Communication is key in chronic disease management, and the internet has altered the manner in which patients and providers can exchange information. Adoption of secure messaging differs among patients due to the digital divide that keeps some populations from having effective access to online resources. OBJECTIVE: This study aimed to examine the current state of online patient-provider communication, exploring trends over time in the use of online patient-provider communication tools. METHODS: A 3-part analytic process was used to study the following: (1) reanalysis, (2) close replication across years, and (3) trend analysis extension. During the reanalysis stage, the publicly available Health Information National Trends Survey (HINTS) 1 and 2 data were used with the goal of identifying the precise analytic methodology used in a prior study, published in 2007. The original analysis was extended to add 3 additional data years (ie, 2008, 2011, and 2013) using the original analytical approach with the purpose of identifying trends over time. Multivariate logistic regression was used to analyze pooled data across all years, with year as an added predictor, in addition to a model for each individual data year. RESULTS: The odds of internet users to communicate online with health care providers was significantly and increasingly higher year-over-year, starting in 2003 (2005: odds ratio [OR] 1.31, 95% CI 1.03-1.68; 2008: OR 2.14, 95% CI 1.76-2.59; 2011: OR 2.92, 95% CI 2.33-3.66; and 2013: OR 5.77; 95% CI 4.62-7.20). Statistically significant socio-economic factors found to be associated with internet users communicating online with providers included age, having health insurance, having a history of cancer, and living in an urban area of residence. CONCLUSIONS: The proportion of internet users communicating online with their health care providers has significantly increased since 2003. Although these trends are encouraging, access challenges still exist for some groups, potentially giving rise to a new set of health disparities related to communication.

Insider versus outsider executive succession: The relationship to hospital efficiency.

BACKGROUND: The relationship between Chief Executive Officer (CEO) succession and hospitals' competitive performance is an area of interest for health services researchers. Of particular interest is the impact on overall strategic direction and health system performance that results from selecting a CEO from inside the firm as opposed to seeking outside leadership. Empirical work-to-date has yielded mixed results. Much of this variability has been attributed to design flaws; however, in the absence of a clear message from the evidence, the preference for hiring "outsiders" continues to grow. PURPOSE: This paper investigates on the extent to which insider CEO succession versus outsider succession impacts hospitals' competitive advantage vis-à-vis a sample of organizations that compete in the same sector. METHODS: A hospital matching protocol based on propensity scores is used to control for endogeneity and makes comparisons of productivity across organizations through the use of stochastic frontier estimation. FINDINGS: Succession negatively impacts hospitals' productivity, and firms with outsider CEO succession events closed the gap toward the competitive advantage frontier faster than comparable firms with insider successions. PRACTICE IMPLICATIONS: More research needs to be done on succession planning and its impact on CEO turnover.

Working with an Electronic Medical Record in Ambulatory Care: A Study of Patient Perceptions of Intrusiveness

OBJECTIVE: To assess patient perceptions of electronic medical record (EMR) intrusiveness during ambulatory visits to clinics associated with a large academic medical center. METHOD: We conducted a survey of patients seen at any of 98 academic medical center clinics. The survey assessed demographics, visit satisfaction, computer use, and perceived intrusiveness of the computer. RESULTS: Of 7,058 patients, slightly more than 80 percent reported that the physician had used the computer while in the room, but only 24 percent were shown results in the EMR. Most patients were very satisfied or satisfied with their visit and did not find the computer intrusive (83 percent). Younger respondents, those shown results, and those who reported that the physician used the computer were more likely to perceive the computer as intrusive. Qualitative comments suggest different perceptions related to computer intrusiveness than to EMR use more generally. DISCUSSION: Patients were generally accepting of EMRs and therefore use of computers in the exam room. However, subgroups of patients may require greater study to better understand patient perceptions related to EMR use and intrusiveness. CONCLUSION: Results suggest the need for greater focus on how physicians use computers in the exam room in a manner that facilitates maintaining good rapport with patients.

Patient Safety Errors: Leveraging Health Information Technology to Facilitate Patient Reporting.

Patient safety continues to be a national challenge not only for providers but for patients and families as well. In an attempt to standardize processes and systems, we have lost opportunities for improvement. For instance, current patient safety reporting systems tend to favor capturing details around events that are classified as highly clinically significant (i.e., sentinel-level and never events); yet little to no effort is spent on capturing information about less evident errors or near misses, nor simply about concerns that are more experiential in nature. As a result, patients' experiences and observations are relegated to the notion of satisfaction, real-time reporting remains illusive, and the ability to learn across incidents remains anecdotal rather than systematic. Herein we propose an alternative, real-time, innovative model that merges syndromic surveillance and patient engagement to embrace patient-initiated reporting of patient safety events and concerns. The result would be a patient safety system where patients are partners, in both the conduct of their care, and in the quality of the healthcare delivered.

Measuring Patient Satisfaction's Relationship to Hospital Cost Efficiency: Can Administrators Make a Difference?

OBJECTIVE: The aim of this study was to assess the ability and means by which hospital administrators can influence patient satisfaction and its impact on costs. DATA SOURCES: Data are drawn from the American Hospital Association's Annual Survey of Hospitals, federally collected Hospital Cost Reports, and Medicare's Hospital Compare. STUDY DESIGN: Stochastic frontier analyses (SFA) are used to test the hypothesis that the patient satisfaction-hospital cost relationship is primarily a latent "management effect." The null hypothesis is that patient satisfaction measures are main effects under the control of care providers rather than administrators. PRINCIPLE FINDINGS: Both SFA models were superior to the standard regression analysis when measuring patient satisfaction's relationship to hospitals' cost efficiency. The SFA model with patient satisfaction measures treated as main effects, rather than "latent, management effects," was significantly better comparing the log-likelihood statistics. Higher patient satisfaction scores on the environmental quality and provider communication dimensions were related to lower facility costs. Higher facility costs were positively associated with patients' overall impressions (willingness to recommend and overall satisfaction), assessments of medication and discharge instructions, and ratings of caregiver responsiveness (pain control and help when called). CONCLUSIONS: In the short term, managers have a limited ability to influence patient satisfaction scores, and it appears that working through frontline providers (doctors and nurses) is critical to success. In addition, results indicate that not all patient satisfaction gains are cost neutral and there may be added costs to some forms of quality. Therefore, quality is not costless as is often argued.

Hospital characteristics associated with achievement of meaningful use.

The objective of this study was to identify factors associated with hospitals that achieved the Medicare meaningful use incentive thresholds for payment under the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009. We employed a cross-sectional design using data from the 2011 American Hospital Association Annual Survey, including the Information Technology Supplement; the Centers for Medicare & Medicaid Services report of hospitals receiving meaningful use payments; and the Health Resources and Services Administration's Area Resource File. We used a lagged value from 2010 to determine electronic health record (EHR) adoption. Our methods were a descriptive analysis and logistic regression to examine how various hospital characteristics are associated with the achievement of Medicare meaningful use incentives. Overall, 1,769 (38%) of 4,683 potentially eligible hospitals achieved meaningful use incentive thresholds by the end of 2012. Characteristics associated with organizations that received incentive payments were having an EHR in place in 2010, having a larger bed size, having a single health information technology vendor, obtaining Joint Commission accreditation, operating under for-profit status, having Medicare share of inpatient days in the middle two quartiles, being eligible for Medicaid incentives, and being located in the Middle Atlantic or South Atlantic census region. Characteristics associated with not receiving incentive payments were being a member of a hospital system and being located in the Mountain or Pacific census region. Thus far, little evidence suggests that the HITECH incentive program has enticed hospitals without an EHR system to adopt meaningful use criteria. Policy makers should consider modifying the incentive program to accelerate the adoption of and meaningful use in hospitals without EHRs.

Evidence-based management of ambulatory electronic health record system implementation: an assessment of conceptual support and qualitative evidence.

OBJECTIVES: While electronic health record (EHR) systems have potential to drive improvements in healthcare, a majority of EHR implementations fall short of expectations. Shortcomings in implementations are often due to organizational issues around the implementation process rather than technological problems. Evidence from both the information technology and healthcare management literature can be applied to improve the likelihood of implementation success, but the translation of this evidence into practice has not been widespread. Our objective was to comprehensively study and synthesize best practices for managing ambulatory EHR system implementation in healthcare organizations, highlighting applicable management theories and successful strategies. METHODS: We held 45 interviews with key informants in six U.S. healthcare organizations purposively selected based on reported success with ambulatory EHR implementation. We also conducted six focus groups comprised of 37 physicians. Interview and focus group transcripts were analyzed using both deductive and inductive methods to answer research questions and explore emergent themes. RESULTS: We suggest that successful management of ambulatory EHR implementation can be guided by the Plan-Do-Study-Act (PDSA) quality improvement (QI) model. While participants did not acknowledge nor emphasize use of this model, we found evidence that successful implementation practices could be framed using the PDSA model. Additionally, successful sites had three strategies in common: 1) use of evidence from published health information technology (HIT) literature emphasizing implementation facilitators; 2) focusing on workflow; and 3) incorporating critical management factors that facilitate implementation. CONCLUSIONS: Organizations seeking to improve ambulatory EHR implementation processes can use frameworks such as the PDSA QI model to guide efforts and provide a means to formally accommodate new evidence over time. Implementing formal management strategies and incorporating new evidence through the PDSA model is a key element of evidence-based management and a crucial way for organizations to position themselves to proactively address implementation and use challenges before they are exacerbated.

Hospital website rankings in the United States: expanding benchmarks and standards for effective consumer engagement.

BACKGROUND: Passage of the Patient Protection and Affordable Care Act (ACA) increased the roles hospitals and health systems play in care delivery and led to a wave of consolidation of medical groups and hospitals. As such, the traditional patient interaction with an independent medical provider is becoming far less common, replaced by frequent interactions with integrated medical groups and health systems. It is thus increasingly important for these organizations to have an effective social media presence. Moreover, in the age of the informed consumer, patients desire a readily accessible, electronic interface to initiate contact, making a well-designed website and social media strategy critical features of the modern health care organization. OBJECTIVE: The purpose of this study was to assess the Web presence of hospitals and their health systems on five dimensions: accessibility, content, marketing, technology, and usability. In addition, an overall ranking was calculated to identify the top 100 hospital and health system websites. METHODS: A total of 2407 unique Web domains covering 2785 hospital facilities or their parent organizations were identified and matched against the 2009 American Hospital Association (AHA) Annual Survey. This is a four-fold improvement in prior research and represents what the authors believe to be a census assessment of the online presence of US hospitals and their health systems. Each of the five dimensions was investigated with an automated content analysis using a suite of tools. Scores on the dimensions are reported on a range from 0 to 10, with a higher score on any given dimension representing better comparative performance. Rankings on each dimension and an average ranking are provided for the top 100 hospitals. RESULTS: The mean score on the usability dimension, meant to rate overall website quality, was 5.16 (SD 1.43), with the highest score of 8 shared by only 5 hospitals. Mean scores on other dimensions were between 4.43 (SD 2.19) and 6.49 (SD 0.96). Based on these scores, rank order calculations for the top 100 websites are presented. Additionally, a link to raw data, including AHA ID, is provided to enable researchers and practitioners the ability to further explore relationships to other dynamics in health care. CONCLUSIONS: This census assessment of US hospitals and their health systems provides a clear indication of the state of the sector. While stakeholder engagement is core to most discussions of the role that hospitals must play in relation to communities, management of an online presence has not been recognized as a core competency fundamental to care delivery. Yet, social media management and network engagement are skills that exist at the confluence of marketing and technical prowess. This paper presents performance guidelines evaluated against best-demonstrated practice or independent standards to facilitate improvement of the sector's use of websites and social media.