Health information technology and its effects on hospital costs, outcomes, and patient safety

Governance for Patient Safety: A Framework of Strategy Domains for Risk Management

BACKGROUND

Adverse events in healthcare are primarily due to system failures rather than individuals. Risk reduction strategies should therefore focus on strengthening systems, bringing about improvements in governance, and targeting individual practices or products. The purpose of this study was to conduct a scoping review to develop a global framework of management strategies for sustaining a safety-oriented culture in healthcare organizations, focusing on patient safety and the adoption of good safety-related practices.

METHODS

We conducted a search on safety-related strategies in 2 steps. The first involved a search in the PubMed database to identify effective, broadly framed, cross-sector domains relevant to clinical risk management strategies in healthcare systems. In the second step, we then examined the strategies adopted by running a scoping review for each domain.

RESULTS

Our search identified 8 strategy domains relevant to patient safety: transformational leadership, patient engagement, human resources management quality, innovation technology, skills certification, education in patient safety, teamwork, and effective communication.

CONCLUSIONS

This scoping review explores management strategies key to healthcare systems' efforts to create safety-oriented organizations. Improvement efforts should focus particularly on the domains identified: combined together, they would nurture an overall safety-oriented culture and have an impact on preventable adverse events.

Value of the Electronic Medical Record for Hospital Care: Update From the Literature

Background

Electronic records could improve quality and efficiency of health care. National and international bodies propagate this belief worldwide. However, the evidence base concerning the effects and advantages of electronic records is questionable. The outcome of health care systems is influenced by many components, making assertions about specific types of interventions difficult. Moreover, electronic records itself constitute a complex intervention offering several functions with possibly positive as well as negative effects on the outcome of health care systems.

Objective

The aim of this review is to summarize empirical studies about the value of electronic medical records (EMRs) for hospital care published between 2010 and spring 2019.

Methods

The authors adopted their method from a series of literature reviews. The literature search was performed on MEDLINE with “Medical Record System, Computerized” as the essential keyword. The selection process comprised 2 phases looking for a consent of both authors. Starting with 1345 references, 23 were finally included in the review. The evaluation combined a scoring of the studies’ quality, a description of data sources in case of secondary data analyses, and a qualitative assessment of the publications’ conclusions concerning the medical record’s impact on quality and efficiency of health care.

Results

The majority of the studies stemmed from the United States (19/23, 83%). Mostly, the studies used publicly available data (“secondary data studies”; 17/23, 74%). A total of 18 studies analyzed the effect of an EMR on the quality of health care (78%), 16 the effect on the efficiency of health care (70%). The primary data studies achieved a mean score of 4.3 (SD 1.37; theoretical maximum 10); the secondary data studies a mean score of 7.1 (SD 1.26; theoretical maximum 9). From the primary data studies, 2 demonstrated a reduction of costs. There was not one study that failed to demonstrate a positive effect on the quality of health care. Overall, 9/16 respective studies showed a reduction of costs (56%); 14/18 studies showed an increase of health care quality (78%); the remaining 4 studies missed explicit information about the proposed positive effect.

Conclusions

This review revealed a clear evidence about the value of EMRs. In addition to an awesome majority of economic advantages, the review also showed improvements in quality of care by all respective studies. The use of secondary data studies has prevailed over primary data studies in the meantime. Future work could focus on specific aspects of electronic records to guide their implementation and operation.

Impact of the 2015 Health Information Technology Certification Edition on Interoperability among Hospitals

OBJECTIVE

Most nonfederal acute care hospitals use electronic health records (EHRs) certified by the Office of the National Coordinator for Health Information Technology. In 2015, the Office of the National Coordinator for Health Information Technology finalized the 2015 Health IT Certification Edition and adoption by hospitals began in 2016. We examine the impact of the 2015 Edition on rates of interoperable exchange among nonfederal acute hospitals.

MATERIALS AND METHODS

The study applies a standard difference-in-differences design and a recently developed fixed effects estimator that relaxes the assumption of treatment effects being constant across groups and time. In the analysis, we identify separate effects of the 2015 Edition for hospitals that switched EHR developers and forecast hospitals' interoperability over 2015 Edition adoption rates.

RESULTS

The adoption of the 2015 Edition increased hospitals' rates of interoperable exchange and especially benefited hospitals that switched EHR developers in the post-implementation period. Forecasting results indicate that if all hospitals adopted the 2015 Edition, 53% to 61% of hospitals would engage in interoperable health information exchange compared with the current rate of 46%.

DISCUSSION

Hospitals' levels of interoperability have been rising over the last few years. Adoption of newer technology improved hospitals' interoperability and accounts for up to 12% of the rise in interoperability.

CONCLUSIONS

Certified technology is one mechanism to ensure providers use recent and safe technologies for interoperable exchange. Adoption of certified EHRs improves the nation's interoperable exchange; however, it has a clear limited effect. Other mechanisms are necessary for achieving comprehensive interoperable exchange.

Does Eco-Certification Correlate with Improved Financial Performance? Evidence From a Longitudinal Study in the US Hospital Industry

Health care-based negative production externalities, such as greenhouse gas emissions, underscore the need for hospitals to implement sustainable practices. Eco-certification has been adopted by a number of providers in an attempt, for instance, to curb energy consumption. While these strategies have been evaluated with respect to cost savings, their implications pertaining to hospitals' financial viability remain unknown. We specify a fixed-effects model to estimate the correlation between Energy Star certification and 3 different hospitals' financial performance measures (net patient revenue, operating expenses, and operating margin) in the United States between 2000 and 2016. The Energy Star participation indicators' parameters imply that this type of eco-certification is associated with lower net patient revenue and lower operating expenses. However, the estimated negative relationship between eco-certification and operating margin suggests that the savings in operating expenses are not enough for a hospital to achieve higher margins. These findings may indicate that undertaking sustainable practices is partially related to intangible benefits such as community reputation and highlight the importance of government policies to financially support hospitals' investments in green practices.

Electronic Health Record Adoption and Rates of In-hospital Adverse Events

OBJECTIVE

Nationwide initiatives have focused on improving patient safety through greater use of health information technology. We examined the association of hospitals' electronic health record (EHR) adoption and occurrence rates of adverse events among exposed patients.

METHODS

We conducted a retrospective analysis of patient discharges using data from the 2012 and 2013 Medicare Patient Safety Monitoring System. The sample included patients age 18 and older that were hospitalized for one of 3 conditions: acute cardiovascular disease, pneumonia, or conditions requiring surgery. The main outcome measures were in-hospital adverse events, including hospital-acquired infections, adverse drug events (based on selected medications), general events, and postprocedural events. Adverse event rates and patient exposure to a fully electronic EHR were determined through chart abstraction.

RESULTS

Among the 45,235 patients who were at risk for 347,281 adverse events in the study sample, the occurrence rate of adverse events was 2.3%, and 13.0% of patients were exposed to a fully electronic EHR. In multivariate modeling adjusted for patient and hospital characteristics, patient exposure to a fully electronic EHR was associated with 17% to 30% lower odds of any adverse event for cardiovascular (odds ratio [OR], 0.80; 95% confidence interval [CI], 0.72-0.90), pneumonia (OR, 0.70; CI, 0.62-0.80), and surgery (OR, 0.83; CI, 0.72-0.96) patients. The associations of EHR adoption and adverse events varied by event type and by medical condition.

CONCLUSIONS

Cardiovascular, pneumonia, and surgery patients exposed to a fully electronic EHR were less likely to experience in-hospital adverse events.

The effect of different classification of hospitals on medical expenditure from perspective of classification of hospitals framework: evidence from China

Background

Different classification of hospitals (COH) have an important impact on medical expenditures in China. The objective of this study is to examine the impact of COH on medical expenditures with the hope of providing insights into appropriate care and resource allocation.

Methods

From the perspective of COH framework, using the Urban Employee Basic Medical Insurance (UEBMI) data of Chengdu City from 2011 to 2015, with sample size of 488,623 hospitalized patients, our study empirically analyzed the effect of COH on medical expenditure by multivariate regression modeling.

Results

The average medical expenditure was 5468.86 Yuan (CNY), the average expenditure of drug, diagnostic testing, medical consumables, nursing care, bed, surgery and blood expenditures were 1980.06 Yuan (CNY), 1536.27 Yuan (CNY), 500.01 Yuan (CNY), 166.23 Yuan (CNY), 221.98 Yuan (CNY), 983.18 Yuan (CNY) and 1733.21 Yuan (CNY) respectively. Patients included in the analysis were mainly elderly, with an average age of 86.65 years old. Female and male gender were split evenly. The influence of COH on total medical expenditures was significantly negative (p < 0.001). The reimbursement ratio of UEBMI had a significantly positive (p < 0.001) effect on various types of medical expenditures, indicating that the higher the reimbursement ratio was, the higher the medical expenditures would be.

Conclusions

COH influenced medical expenditures significantly. In consideration of reducing medical expenditures, the government should not only start from the supply side of healthcare services, but also focus on addressing the demand side.

Choosing and booking-and attending? Impact of an electronic booking system on outpatient referrals and non-attendances

Patient non-attendance can lead to worse health outcomes and longer waiting times. In the English National Health Service, around 7% of patients who are referred by their general practice for a hospital outpatient appointment fail to attend. An electronic booking system (Choose and Book-C&B) for general practices making hospital outpatient appointments was introduced in England in 2005 and by 2009 accounted for 50% of appointments. It was intended, inter alia, to reduce the rate of non-attendance. Using a 2004-2009 panel with 7,900 English general practices, allowing for the relaxation of constraints on patient of hospital, and for the potential endogeneity of use of C&B, we estimate that the introduction of C&B reduced non-attendance by referred patients in 2009 by 72,160 (8.7%).

Physician EHR Adoption and Potentially Preventable Hospital Admissions among Medicare Beneficiaries: Panel Data Evidence, 2010-2013

OBJECTIVE

To test for correlation between the growth in adoption of ambulatory electronic health records (EHRs) in the United States during 2010-2013 and hospital admissions and readmissions for elderly Medicare beneficiaries with at least one of four common ambulatory care-sensitive conditions (ACSCs).

DATA SOURCES

SK&A Information Services Survey of Physicians, American Hospital Association General Survey and Information Technology Supplement; and the Centers for Medicare & Medicaid Services Chronic Conditions Data Warehouse Geographic Variation Database for 2010 through 2013.

STUDY DESIGN

Fixed effects model estimated the relationship between hospital referral region (HRR) level measures of physician EHR adoption and ACSC admissions and readmissions. Analyzed rates of admissions and 30-day readmissions per beneficiary at the HRR level (restricting the denominator to beneficiaries in our sample), adjusted for differences across HRRs in Medicare beneficiary age, gender, and race. Calculated physician EHR adoption rates as the percentage of physicians in each HRR who report using EHR in ambulatory care settings.

PRINCIPAL FINDINGS

Each percentage point increase in market-level EHR adoption by physicians is correlated with a statistically significant decline of 1.06 ACSC admissions per 10,000 beneficiaries over the study period, controlling for the overall time trend as well as market fixed effects and characteristics that changed over time. This finding implies 26,689 fewer ACSC admissions in our study population during 2010 to 2013 that were related to physician ambulatory EHR adoption. This represents 3.2 percent fewer ACSC admissions relative to the total number of such admissions in our study population in 2010. We found no evidence of a correlation between EHR use, by either physicians or hospitals, and hospital readmissions at either the market level or hospital level.

CONCLUSIONS

This study extends knowledge about EHRs' relationship with quality of care and utilization. The results suggest a significant association between EHR use in ambulatory care settings and ACSC admissions that is consistent with policy goals to improve the quality of ambulatory care for patients with chronic conditions. The null findings for readmissions support the need for improved interoperability between ambulatory care EHRs and hospital EHRs to realize improvements in readmissions.

Attributing Responsibility: Hospitals Account for 20% of Variance in Acute Myocardial Infarction Patient Mortality

Applying a log-logistic accelerated failure time mixed effects model to a sample of 95,504 in-hospital patients with acute myocardial infarction (AMI) between 2005 and 2010 in the United States, we measured the relative contribution of hospitals (vs. patients) in explaining in-hospital AMI mortality. Before adjusting for age, race, income, 29 comorbidities of AMI patients, and primary payer, hospital characteristics explained 19.93% of the variance in AMI in-hospital mortality. After controlling for these, variance explained declined by 5.65%, to 14.28%. These findings have implications for policymakers in assessing hospitals' "responsibility" for AMI patient mortality, for hospitals in allocating resources toward improving AMI patient care, and for medical intermediaries in making liability judgments and payment allocations to hospitals.

Impact of CPOE usage on medication management process costs and quality outcomes

We assess the impact of computerized physician order entry (CPOE) systems usage on cost and process quality in the medication management process. Data are compiled from 1,014 U.S. acute-care hospitals that have already implemented CPOE. Data sources include the American Hospital Association, HIMSS Analytics, and the Centers for Medicare and Medicaid Services. We examine the association of CPOE usage with nursing and pharmacy salary costs, and evidence-based medication process compliance. Empirical findings controlling for endogeneity in usage show that benefits accrue even when 100 percent usage is not achieved. We demonstrate that the relationship of CPOE usage with cost and compliance is non-linear.

A systematic review of the cost of data collection for performance monitoring in hospitals

BACKGROUND

Key performance indicators (KPIs) are used to identify where organisational performance is meeting desired standards and where performance requires improvement. Valid and reliable KPIs depend on the availability of high-quality data, specifically the relevant minimum data set ((MDS) the core data identified as the minimum required to measure performance for a KPI) elements. However, the feasibility of collecting the relevant MDS elements is always a limitation of performance monitoring using KPIs. Preferably, data should be integrated into service delivery, and, where additional data are required that are not currently collected as part of routine service delivery, there should be an economic evaluation to determine the cost of data collection. The aim of this systematic review was to synthesise the evidence base concerning the costs of data collection in hospitals for performance monitoring using KPI, and to identify hospital data collection systems that have proven to be cost minimising.

METHODS

We searched MEDLINE (1946 to May week 4 2014), Embase (1974 to May week 2 2014), and CINAHL (1937 to date). The database searches were supplemented by searching for grey literature through the OpenGrey database. Data was extracted, tabulated, and summarised as part of a narrative synthesis.

RESULTS

The searches yielded a total of 1,135 publications. After assessing each identified study against specific inclusion exclusion criteria only eight studies were deemed as relevant for this review. The studies attempt to evaluate different types of data collection interventions including the installation of information communication technology (ICT), improvements to current ICT systems, and how different analysis techniques may be used to monitor performance. The evaluation methods used to measure the costs and benefits of data collection interventions are inconsistent across the identified literature. Overall, the results weakly indicate that collection of hospital data and improvements in data recording can be cost-saving.

CONCLUSIONS

Given the limitations of this systematic review, it is difficult to conclude whether improvements in data collection systems can save money, increase quality of care, and assist performance monitoring of hospitals. With that said, the results are positive and suggest that data collection improvements may lead to cost savings and aid quality of care.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42014007450 .

The influence of institutional pressures on hospital electronic health record presence

Electronic health records (EHR) are a promising form of health information technology that could help US hospitals improve on their quality of care and costs. During the study period explored (2005-2009), high expectations for EHR diffused across institutional stakeholders in the healthcare environment, which may have pressured hospitals to have EHR capabilities even in the presence of weak technical rationale for the technology. Using an extensive set of organizational theory-specific predictors, this study explored whether five factors - cause, constituents, content, context, and control - that reflect the nature of institutional pressures for EHR capabilities motivated hospitals to comply with these pressures. Using information from several national data bases, an ordered probit regression model was estimated. The resulting predicted probabilities of EHR capabilities from the empirical model's estimates were used to test the study's five hypotheses, of which three were supported. When the underlying cause, dependence on constituents, or influence of control were high and potential countervailing forces were low, hospitals were more likely to employ strategic responses that were compliant with the institutional pressures for EHR capabilities. In light of these pressures, hospitals may have acquiesced, by having comprehensive EHR capabilities, or compromised, by having intermediate EHR capabilities, in order to maintain legitimacy in their environment. The study underscores the importance of our assessment for theory and policy development, and provides suggestions for future research.

Meaningful Use IT reduces hospital-caused adverse drug events even at challenged hospitals

BACKGROUND

many Meaningful Use (MU) requirements involve medication management. Little is known about what impact these will have on adverse drug events (ADEs) at challenged hospitals.

METHODS

we use the Florida State Inpatient Database (HCUP, AHRQ), the AHA IT Supplement, and Hospital Compare. Controlling for non-response selection bias, we use multi-level GLLAMM regression analysis to examine the impact of the 5 core MU medication elements on hospital-caused ADEs.

RESULTS

adopting all 5 core MU elements was associated with a reduction in ADEs. Hospitals reporting costs as the main barrier to MU reduced their ADE rates by 35%; low quality hospitals reduced ADEs by 29%, compared to 27% at high quality hospitals. Among hospitals reporting these medication elements among their top MU challenges, ADEs were reduced by 69%, compared to 45% for hospitals with no drug functions as their top MU challenges. However, ADEs increased by 14% at hospitals with physician resistance to MU, compared to a 52% ADE reduction without physician resistance.

CONCLUSIONS

the bundling all five medication functions in MU is associated with large reductions in ADEs.

IMPLICATIONS

without physician buy-in at the hospital, MU will have no impact on ADEs.

Measuring value for money: a scoping review on economic evaluation of health information systems

Objective

To explore how key components of economic evaluations have been included in evaluations of health information systems (HIS), to determine the state of knowledge on value for money for HIS, and provide guidance for future evaluations.

Materials and methods

We searched databases, previously collected papers, and references for relevant papers published from January 2000 to June 2012. For selection, papers had to: be a primary study; involve a computerized system for health information processing, decision support, or management reporting; and include an economic evaluation. Data on study design and economic evaluation methods were extracted and analyzed.

Results

Forty-two papers were selected and 33 were deemed high quality (scores ≥8/10) for further analysis. These included 12 economic analyses, five input cost analyses, and 16 cost-related outcome analyses. For HIS types, there were seven primary care electronic medical records, six computerized provider order entry systems, five medication management systems, five immunization information systems, four institutional information systems, three disease management systems, two clinical documentation systems, and one health information exchange network. In terms of value for money, 23 papers reported positive findings, eight were inconclusive, and two were negative.

Conclusions

We found a wide range of economic evaluation papers that were based on different assumptions, methods, and metrics. There is some evidence of value for money in selected healthcare organizations and HIS types. However, caution is needed when generalizing these findings. Better reporting of economic evaluation studies is needed to compare findings and build on the existing evidence base we identified.

Likelihood of hospital readmission after first discharge: Medicare Advantage vs. fee-for-service patients

This study tests whether the likelihood of hospital readmission within 30 days of discharge is different for enrollees in Medicare Advantage plans versus the standard fee-for-service program. A key requirement is to control for self-selection into Advantage plans. The study uses statewide inpatient databases maintained by the Agency for Healthcare Research and Quality for five states in 2006. The type of Medicare coverage is known, along with an encrypted patient identifier. We identify eligible first discharges and the first readmission within 30 days. We use selected area characteristics as instrumental variables for enrollment in Advantage plans and apply a bivariate probit analysis. Descriptively, there is a slightly lower likelihood of readmission for Advantage plan enrollees. However, the Advantage plan patients are younger and less severely ill. After risk adjustment and control for self-selection, the enrollees in Advantage plans have a substantially higher likelihood of readmission. Recognizing caveats and limitations, the study supports informing Medicare beneficiaries about the rates of readmission for Advantage plans in their area. Analytical methods to adjust for self-selection into particular plans or plan types should be considered when possible.

Hospital IT Sophistication Profiles and Patient Safety Outcomes

Information technology (IT) sophistication of acute care hospitals in Texas was measured to explore the relationships between IT infrastructure and patient outcomes using Donabedian’s framework. The sample was acute care hospitals (n=175) with an IT profile using HIMSS, demographic and operations data. Three dimensions of hospital IT sophistication were measured and related to patient care outcomes using the AHRQ Patient Safety Indicators (PSI). Significant relationships (p < 0.05) using linear regression were found between hospital IT sophistication and three PSI measures. A review of similar studies during the same time period in Iowa, Georgia, and Florida compares findings from two instruments used to profile hospital IT infrastructure. This study adds to and confirms findings of positive relationships between IT sophistication of hospitals and patient care outcomes using the AHRQ safety indicators. Discussion of the conceptual model and the IT sophistication construct provides a theoretical framework for this line of research.

Hospital implementation of health information technology and quality of care: are they related?

BACKGROUND

Recently, there has been considerable effort to promote the use of health information technology (HIT) in order to improve health care quality. However, relatively little is known about the extent to which HIT implementation is associated with hospital patient care quality. We undertook this study to determine the association of various HITs with: hospital quality improvement (QI) practices and strategies; adherence to process of care measures; risk-adjusted inpatient mortality; patient satisfaction; and assessment of patient care quality by hospital quality managers and front-line clinicians.

METHODS

We conducted surveys of quality managers and front-line clinicians (physicians and nurses) in 470 short-term, general hospitals to obtain data on hospitals' extent of HIT implementation, QI practices and strategies, assessments of quality performance, commitment to quality, and sufficiency of resources for QI. Of the 470 hospitals, 401 submitted complete data necessary for analysis. We also developed measures of hospital performance from several publicly data available sources: Hospital Compare adherence to process of care measures; Medicare Provider Analysis and Review (MEDPAR) file; and Hospital Consumer Assessment of Healthcare Providers and Systems HCAHPS® survey. We used Poisson regression analysis to examine the association between HIT implementation and QI practices and strategies, and general linear models to examine the relationship between HIT implementation and hospital performance measures.

RESULTS

Controlling for potential confounders, we found that hospitals with high levels of HIT implementation engaged in a statistically significant greater number of QI practices and strategies, and had significantly better performance on mortality rates, patient satisfaction measures, and assessments of patient care quality by hospital quality managers; there was weaker evidence of higher assessments of patient care quality by front-line clinicians.

CONCLUSIONS

Hospital implementation of HIT was positively associated with activities intended to improve patient care quality and with higher performance on four of six performance measures.