Health IT and inappropriate utilization of outpatient imaging: A cross-sectional study of U.S. hospitals.

OBJECTIVE: To determine whether the use of information technology (IT), measured by Meaningful Use capability, is associated with lower rates of inappropriate utilization of imaging services in hospital outpatient settings. RESEARCH DESIGN: A retrospective cross-sectional analysis of 3332 nonfederal U.S. hospitals using data from: Hospital Compare (2011 outpatient imaging efficiency measures), HIMSS Analytics (2009 health IT), and Health Indicator Warehouse (market characteristics). Hospitals were categorized for their health IT infrastructure including EHR Stage-1 capability, and three advanced imaging functionalities/systems including integrated picture archiving and communication system, Web-based image distribution, and clinical decision support (CDS) with physician pathways. Three imaging efficiency measures suggesting inappropriate utilization during 2011 included: percentage of "combined" (with and without contrast) computed tomography (CT) studies out of all CT studies for abdomen and chest respectively, and percentage of magnetic resonance imaging (MRI) studies of lumbar spine without antecedent conservative therapy within 60days. For each measure, three separate regression models (GLM with gamma-log link function, and denominator of imaging measure as exposure) were estimated adjusting for hospital characteristics, market characteristics, and state fixed effects. Additionally, Heckman's Inverse Mills Ratio and propensity for Stage-1 EHR capability were used to account for selection bias. PRINCIPAL FINDINGS: We find support for association of each of the four health IT capabilities with inappropriate utilization rates of one or more imaging modality. Stage-1 EHR capability is associated with lower inappropriate utilization rates for chest CT (incidence rate ratio IRR=0.72, p-value <0.01) and lumbar MRI (IRR=0.87, p-value <0.05). Integrated PACS is associated with lower inappropriate utilization rate of abdomen CT (IRR=0.84, p-value <0.05). Imaging distribution over Web capability is associated with lower inappropriate utilization rates for chest CT (IRR=0.66, p-value <0.05) and lumbar MRI (IRR=0.86, p-value <0.05). CDS with physician pathways is associated with lower inappropriate utilization rates for abdomen CT (IRR=0.87, p-value <0.01) and lumbar MRI (IRR=0.90, p-value <0.05). All other cases showed no association. CONCLUSIONS: The study offers mixed results. Taken together, the results suggest that the use of Stage-1 Meaningful Use capable EHR systems along with advanced imaging related functionalities could have a beneficial impact on reducing some of the inappropriate utilization of outpatient imaging.

Medication Nonadherence: The Role of Cost, Community, and Individual Factors.

OBJECTIVE: To explain the association of out-of-pocket (OOP) cost, community-level factors, and individual characteristics on statin therapy nonadherence. DATA SOURCES: BlueCross BlueShield of Texas claims data for the period of 2008-2011. STUDY DESIGN: A retrospective cohort of 49,176 insured patients, aged 18-64 years, with at least one statin refill during 2008-2011 was analyzed. Using a weighted proportion of days covered ratio, differences between adherent and nonadherent groups are assessed using chi-squared tests, t-tests, and a clustered generalized linear model with logit link function. PRINCIPAL FINDINGS: Statin therapy adherence, measured at 48 percent, is associated with neighborhood-level socioeconomic factors, including race/ethnicity, educational attainment, and poverty level. Individual characteristics influencing adherence include OOP medication cost, gender, age, comorbid conditions, and total health care utilization. CONCLUSIONS: This study signifies the importance of OOP costs as a determinant of adherence to medications, but more interestingly, the results suggest that other socioeconomic factors, as measured by neighborhood-level variables, have a greater association on the likelihood of adherence. The results may be of interest to policy makers, benefit designers, self-insured employers, and provider organizations.

Institutionalizing HIPAA compliance: organizations and competing logics in U.S. health care.

Health care in the United States is highly regulated, yet compliance with regulations is variable. For example, compliance with two rules for securing electronic health information in the 1996 Health Insurance Portability and Accountability Act took longer than expected and was highly uneven across U.S. hospitals. We analyzed 3,321 medium and large hospitals using data from the 2003 Health Information and Management Systems Society Analytics Database. We find that organizational strategies and institutional environments influence hospital compliance, and further that institutional logics moderate the effect of some strategies, indicating the interplay of regulation, institutions, and organizations that contribute to the extensive variation that characterizes the U.S. health care system. Understanding whether and how health care organizations like hospitals respond to new regulation has important implications both for creating desired health care reform and for medical sociologists interested in the changing organizational structure of health care.

Information technology and hospital patient safety: a cross-sectional study of US acute care hospitals.

OBJECTIVES: To determine whether health information technology (IT) systems are associated with better patient safety in acute care settings. STUDY DESIGN: In a cross-sectional retrospective study, data on hospital patient safety performance for October 2008 to June 2010 were combined with 2007 information technology systems data. The sample included 3002 US non-federal acute care hospitals. Electronic health record (EHR) system was coded as a composite dichotomous variable based on the presence of 10 major clinical and administrative applications that (if in use) could potentially meet stage 1 "meaningful use" objectives. The surgical IT system was measured as a dichotomous variable if a hospital used at least 1 of the perioperative, preoperative, or postoperative information systems. Hospital patient safety performance was measured by risk-standardized estimated rates per 1000 admissions. Statistical analyses were conducted using an estimated dependent variable methodology with gamma-log link-based weighted generalized linear models, adjusting for hospital characteristics, historical composite process quality, and propensity for EHR adoption. RESULTS: We found that the use of surgical IT systems was associated with 7% to 26% lower rates for 7 of 8 patient safety indicators (incidence rate ratio [IRR] range from 0.74 to 0.93; all P values < .01). Further, stage 1 meaningful use-capable EHR systems were associated with 7% to 11% lower rates on 3 of 8 measures (IRR range from 0.89 to 0.93; all P values < .01). CONCLUSIONS: Our results suggest that the use of IT is associated with modestly lower rates of adverse events in hospitals. However, the cross-sectional design limits our ability to make causal conclusions.

Meaningful use of electronic health record systems and process quality of care: evidence from a panel data analysis of U.S. acute-care hospitals.

OBJECTIVE: To estimate the incremental effects of transitions in electronic health record (EHR) system capabilities on hospital process quality. DATA SOURCE: Hospital Compare (process quality), Health Information and Management Systems Society Analytics (EHR use), and Inpatient Prospective Payment System (hospital characteristics) for 2006-2010. STUDY SETTING: Hospital EHR systems were categorized into five levels (Level_0 to Level_4) based on use of eight clinical applications. Level_3 systems can meet 2011 EHR "meaningful use" objectives. Process quality was measured as composite scores on a 100-point scale for heart attack, heart failure, pneumonia, and surgical care infection prevention. Statistical analyses were conducted using fixed effects linear panel regression model for all hospitals, hospitals stratified on condition-specific baseline quality, and for large hospitals. PRINCIPAL FINDINGS: Among all hospitals, implementing Level_3 systems yielded an incremental 0.35-0.49 percentage point increase in quality (over Level_2) across three conditions. Hospitals in bottom quartile of baseline quality increased 1.16-1.61 percentage points across three conditions for reaching Level_3. However, transitioning to Level_4 yielded an incremental decrease of 0.90-1.0 points for three conditions among all hospitals and 0.65-1.78 for bottom quartile hospitals. CONCLUSIONS: Hospitals transitioning to EHR systems capable of meeting 2011 meaningful use objectives improved process quality, and lower quality hospitals experienced even higher gains. However, hospitals that transitioned to more advanced systems saw quality declines.

Medication administration quality and health information technology: a national study of US hospitals.

OBJECTIVE: To determine whether the use of computerized physician order entry (CPOE) and electronic medication administration records (eMAR) is associated with better quality of medication administration at medium-to-large acute-care hospitals. DATA/STUDY SETTING: A retrospective cross-sectional analysis of data from three sources: CPOE/eMAR usage from HIMSS Analytics (2010), medication quality scores from CMS Hospital Compare (2010), and hospital characteristics from CMS Acute Inpatient Prospective Payment System (2009). The analysis focused on 11 quality indicators (January-December 2009) at 2603 medium-to-large (≥ 100 beds), non-federal acute-care hospitals measuring proportion of eligible patients given (or prescribed) recommended medications for conditions, including acute myocardial infarction, heart failure, and pneumonia, and surgical care improvement. Using technology adoption by 2008 as reference, hospitals were coded: (1) eMAR-only adopters (n=986); (2) CPOE-only adopters (n=115); and (3) adopters of both technologies (n=804); with non-adopters of both technologies as reference group (n=698). Hospitals were also coded for duration of use in 2-year increments since technology adoption. Hospital characteristics, historical measure-specific patient volume, and propensity scores for technology adoption were used to control for confounding factors. The analysis was performed using a generalized linear model (logit link and binomial family). PRINCIPAL FINDINGS: Relative to non-adopters of both eMAR and CPOE, the odds of adherence to all measures (except one) were higher by 14-29% for eMAR-only hospitals and by 13-38% for hospitals with both technologies, translating to a marginal increase of 0.4-2.0 percentage points. Further, each additional 2 years of technology use was associated with 6-15% higher odds of compliance on all medication measures for eMAR-only hospitals and users of both technologies. CONCLUSIONS: Implementation and duration of use of health information technologies are associated with improved adherence to medication guidelines at US hospitals. The benefits are evident for adoption of eMAR systems alone and in combination with CPOE.