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

Automating surgical procedure extraction for society of surgeons adult cardiac surgery registry using pretrained language models

Objective

Surgical registries play a crucial role in clinical knowledge discovery, hospital quality assurance, and quality improvement. However, maintaining a surgical registry requires significant monetary and human resources given the wide gamut of information abstracted from medical records ranging from patient co-morbidities to procedural details to post-operative outcomes. Although natural language processing (NLP) methods such as pretrained language models (PLMs) have promised automation of this process, there are yet substantial barriers to implementation. In particular, constant shifts in both underlying data and required registry content are hurdles to the application of NLP technologies.

Materials and Methods

In our work, we evaluate the application of PLMs for automating the population of the Society of Thoracic Surgeons (STSs) adult cardiac surgery registry (ACS) procedural elements, for which we term Cardiovascular Surgery Bidirectional Encoder Representations from Transformers (CS-BERT). CS-BERT was validated across multiple satellite sites and versions of the STS-ACS registry.

Results

CS-BERT performed well (F1 score of 0.8417 ± 0.1838) in common cardiac surgery procedures compared to models based on diagnosis codes (F1 score of 0.6130 ± 0.0010). The model also generalized well to satellite sites and across different versions of the STS-ACS registry.

Discussion and Conclusions

This study provides evidence that PLMs can be used to extract the more common cardiac surgery procedure variables in the STS-ACS registry, potentially reducing need for expensive human annotation and wide scale dissemination. Further research is needed for rare procedural variables which suffer from both lack of data and variable documentation quality.

The role of information systems in emergency department decision-making-a literature review

OBJECTIVES

Healthcare providers employ heuristic and analytical decision-making to navigate the high-stakes environment of the emergency department (ED). Despite the increasing integration of information systems (ISs), research on their efficacy is conflicting. Drawing on related fields, we investigate how timing and mode of delivery influence IS effectiveness. Our objective is to reconcile previous contradictory findings, shedding light on optimal IS design in the ED.

MATERIALS AND METHODS

We conducted a systematic review following PRISMA across PubMed, Scopus, and Web of Science. We coded the ISs' timing as heuristic or analytical, their mode of delivery as active for automatic alerts and passive when requiring user-initiated information retrieval, and their effect on process, economic, and clinical outcomes.

RESULTS

Our analysis included 83 studies. During early heuristic decision-making, most active interventions were ineffective, while passive interventions generally improved outcomes. In the analytical phase, the effects were reversed. Passive interventions that facilitate information extraction consistently improved outcomes.

DISCUSSION

Our findings suggest that the effectiveness of active interventions negatively correlates with the amount of information received during delivery. During early heuristic decision-making, when information overload is high, physicians are unresponsive to alerts and proactively consult passive resources. In the later analytical phases, physicians show increased receptivity to alerts due to decreased diagnostic uncertainty and information quantity. Interventions that limit information lead to positive outcomes, supporting our interpretation.

CONCLUSION

We synthesize our findings into an integrated model that reveals the underlying reasons for conflicting findings from previous reviews and can guide practitioners in designing ISs in the ED.

Composite measures of quality of health care: Evidence mapping of methodology and reporting

Background

Quality indicators are used to quantify the quality of care. A large number of quality indicators makes assessment of overall quality difficult, time consuming and impractical. There is consequently an increasing interest for composite measures based on a combination of multiple indicators.

Objective

To examine the use of different approaches to construct composite measures of quality of care and to assess the use of methodological considerations and justifications.

Methods

We conducted a literature search on PubMed and EMBASE databases (latest update 1 December 2020). For each publication, we extracted information on the weighting and aggregation methodology that had been used to construct composite indicator(s).

Results

A total of 2711 publications were identified of which 145 were included after a screening process. Opportunity scoring with equal weights was the most used approach (86/145, 59%) followed by all-or-none scoring (48/145, 33%). Other approaches regarding aggregation or weighting of individual indicators were used in 32 publications (22%). The rationale for selecting a specific type of composite measure was reported in 36 publications (25%), whereas 22 papers (15%) addressed limitations regarding the composite measure.

Conclusion

Opportunity scoring and all-or-none scoring are the most frequently used approaches when constructing composite measures of quality of care. The attention towards the rationale and limitations of the composite measures appears low.

Discussion

Considering the widespread use and the potential implications for decision-making of composite measures, a high level of transparency regarding the construction process of the composite and the functionality of the measures is crucial.

How IT Investments Help Hospitals Gain and Sustain Reputation in the Media: The Role of Signaling and Framing

Practice- and Policy-Oriented Abstract

Understanding how IT investments help organizations to build and sustain reputation is of particular relevance for healthcare practitioners and policy makers because patients are often unable to assess the quality of care, relying instead on the reputation of health service providers in the media, such as newspapers. As information intermediaries, journalists detect, aggregate, and translate the weaker signals for quality, such as state-of-the-art IT, that a hospital emanates. Our analysis of 152 hospital organizations in England, complemented by interviews with healthcare journalists, shows that journalists write less negatively about hospitals when healthcare organizations’ IT equipment investments are high. This implies that investments in IT equipment can buffer hospitals from negative press, thereby helping them to gain and maintain a strong reputation in the media. Practitioners and policy makers may incorporate the reputational effect of IT when making investment decisions and further amplify such IT investment through press releases, corporate reports, and media interactions.

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 Electronic Health Records Interoperability on Telehealth Service Outcomes

This paper aims to develop a telehealth success model and discusses three critical components: (1) health information quality, (2) electronic health record system quality, and (3) telehealth service quality to ensure effective telehealth service delivery, reduce professional burnout, and enhance access to care. The paper applied a policy analysis method and discussed telehealth applications in rural health, mental health, and veterans health services. The results pointed out the fact that, although telehealth paired with semantic/organizational interoperability facilitates value-based and team-based care, challenges remain to enhance user (both patients and clinicians) experience and satisfaction. The conclusion indicates that approaches at systemic and physician levels are needed to reduce disparities in health technology adoption and improve access to telehealth care.

Socio-technical drivers and barriers in the consumer adoption of personal health records: An empirical investigation

BACKGROUND

Increasingly popular in the healthcare domain, electronic personal health records (PHRs) have the potential to foster engagement towards improving health outcomes, achieve efficiencies in care, and reducing costs. Despite touted benefits, the uptake of PHRs is lackluster, with low adoption rates.

OBJECTIVE

This paper reports findings from an empirical investigation on socio-technical factors affecting the adoption of PHRs.

METHODS

A research model comprising personal and technological determinants of PHR adoption is developed and validated in this study. Demographic, technographic and psychographic data pertaining to the use of PHRs was collected through an online questionnaire for past, current, and potential users. Partial least squares (PLS) based structural equation modeling (SEM) was used to estimate a structural model of cognitive and affective factors impacting intentions to use PHRs.

RESULTS

Analysis reveal that in addition to the expected positive impact of a PHR system's usefulness and usability, system integration also positively effects consumer intention to adopt. Results also suggest that higher levels of perceived usability and integration do not translate into higher levels of perceived usefulness. The study also highlights the importance of subjective norm, technology awareness, and technology anxiety as direct antecedents of intention to adopt PHRs. Differential effects of adoption factors are also discussed.

CONCLUSIONS

Our study hopes to contribute to an understanding of consumer adoption of PHRs, and to help improve the design and delivery of consumer-centric healthcare technologies. After implications for research, we provide suggestions and guidelines for PHR technology developers and constituents in the healthcare delivery chain.

CLINICALTRIAL

Factors that Determine Comprehensive Categorical Classification of EHR Implementation Levels

Electronic Health Records (EHRs) have the potential to alleviate patient safety mistakes. Of the various levels of EHR, advanced or higher-level functionalities of EHR are designed to improve patient safety. Certain organizational and environmental factors may pose as barriers toward implementing all of the functionalities, leaving certain hospitals intermediate between basic and comprehensive levels of implementation. This study identifies a comprehensive categorical classification that includes hospitals that have functionalities between basic and comprehensive levels of EHR and determines the organizational and environmental factors that may influence hospitals to implement one or more combinations of these categories. A longitudinal panel design was used. Ordinal logistic regression with random effects model was fitted with robust cluster standard errors. Our sample consisted of non-federal general acute care hospitals utilizing a panel design from 2010 to 2016 with 17 586 hospital-year observations (or an average of 2600 hospitals per year). Larger size hospitals, ones with higher total margin, metropolitan and urban hospitals, system affiliated hospitals, and those in higher managed care penetration areas have higher odds of belonging in one of the higher categories of EHR implementation. Hospitals that can access a greater amount of human resources and financial assets from their environments, may implement higher levels of EHR. Initial and maintenance costs of EHR, interoperability issues, and inability to distribute high costs of training across facilities may stymie implementation of higher EHR functionalities. Policymaking to encourage competition among vendors may possibly lower the implementation price for hospitals with limited resources.

Utility, Value, and Benefits of Contemporary Personal Health Records: Integrative Review and Conceptual Synthesis

Background

Contemporary personal health record (PHR) technologies offer a useful platform for individuals to maintain a lifelong record of personally reported and clinically sourced data from various points of medical care.

Objective

This paper presents an integrative review and synthesis of the extant literature on PHRs. This review draws upon multiple lenses of analysis and deliberates value perspectives of PHRs at the product, consumer, and industry levels.

Methods

Academic databases were searched using multiple keywords related to PHRs for the years 2001-2020. Three research questions were formulated and used as selection criteria in our review of the extant literature relevant to our study.

Results

We offer a high-level functional utility model of PHR features and functions. We also conceptualize a consumer value framework of PHRs, highlighting the applications of these technologies across various health care delivery activities. Finally, we provide a summary of the benefits of PHRs for various health care constituents, including consumers, providers, payors, and public health agencies.

Conclusions

PHR products offer a myriad of content-, connectivity-, and collaboration-based features and functions for their users. Although consumers benefit from the tools provided by PHR technologies, their overall value extends across the constituents of the health care delivery chain. Despite advances in technology, our literature review identifies a shortfall in the research addressing consumer value enabled by PHR tools. In addition to scholars and researchers, our literature review and proposed framework may be especially helpful for value analysis committees in the health care sector that are commissioned for the appraisal of innovative health information technologies such as PHRs.

Predictive Model Based on Health Data Analysis for Risk of Readmission in Disease-Specific Cohorts

BACKGROUND

Intervention planning to reduce 30-day readmission post-acute myocardial infarction (AMI) in an environment of resource scarcity can be improved by readmission prediction score. The aim of study is to derive and validate a prediction model based on routinely collected hospital data for identification of risk factors for all-cause readmission within zero to 30 days post discharge from AMI.

METHODS

Our study includes 2,849 AMI patient records (January 2005 to December 2014) from a tertiary care facility in India. EMR with ICD-10 diagnosis, admission, pathological, procedural and medication data is used for model building. Model performance is analyzed for different combination of feature groups and diabetes sub-cohort. The derived models are evaluated to identify risk factors for readmissions.

RESULTS

The derived model using all features has the highest discrimination in predicting readmission, with AUC as 0.62; (95 percent confidence interval) in internal validation with 70/30 split for derivation and validation. For the sub-cohort of diabetes patients (1359) the discrimination is slightly better with AUC 0.66; (95 percent CI;). Some of the positively associated predictive variables, include age group 80-90, medicine class administered during index admission (Anti-ischemic drugs, Alpha 1 blocker, Xanthine oxidase inhibitors), additional procedure in index admission (Dialysis). While some of the negatively associated predictive variables, include patient demography (Male gender), medicine class administered during index admission (Betablocker, Anticoagulant, Platelet inhibitors, Anti-arrhythmic).

CONCLUSIONS

Routinely collected data in the hospital's clinical and administrative data repository can identify patients at high risk of readmission following AMI, potentially improving AMI readmission rate.

Meaningful Use of Electronic Health Records and Ambulatory Healthcare Quality Measures

Introduction

Electronic Health Record (EHR) adoption rates for office-based physicians doubled between 2008 and 2015, from 42% to 89%, and more than 60% of all office-based physicians achieved meaningful use by 2016. The US government has paid billions of dollars in incentives to promote EHR meaningful use. Nonetheless, evidence linking EHR meaningful use to quality measures improvements is limited.

Objective

This study aims to examine the relationship between EHR meaningful use and capabilities among four quality measures in an ambulatory healthcare setting.

Study design

A cross-sectional study design of the 2015-2016 National Ambulatory Medical Care Survey dataset.

Methods

We used adjusted multivariate regression models to examine associations between (a) EHR meaningful use and (b) 10 EHR-computerized capabilities, with four quality measures (blood pressure screening, tobacco use screening, obesity screening, and obesity education).

Results

We analyzed 30,787 office visits, representing an annual estimate of 680 million national office visits. Results showed that 95% of visits were to offices meeting EHR meaningful use criteria. We found one positive association between EHR meaningful use and obesity screening (OR= 3.5, 95% CI [1.742-6.917]). We also found eight positive associations between EHR capabilities and three quality measures (screening for blood pressure and obesity, and obesity education). These associations included five EHR-computerized capabilities: “record patient problem list”, “view lab results”, “Reminders for interventions/screening”, “Order lab results” and “Recording clinical notes”. No EHR capability was associated with screening for tobacco use.

Conclusions

We looked at a handful of screening-oriented quality measures in ambulatory healthcare and found limited associations with EHR meaningful use but multiple positively significant associations with EHR capabilities. Although EHR meaningful use has become more commonly used, offering substantial administrative efficiency over paper records, current patterns of EHR meaningful use do not always appear to translate into a better quality of care in physician offices. However, quality measures used represent limited procedures for a handful of specific conditions and not the overall healthcare aspect.

Association Between Use of EHR-Generated Dashboards and Hospital Outcomes in 30-Day Heart Failure Readmissions

EXECUTIVE SUMMARY

This study examined whether usage of clinical data from the electronic health record (EHR) to create organizational- and unit-level performance dashboards and assess adherence to clinical practice guidelines is associated with hospital outcomes in risk-adjusted 30-day readmissions for patients with a principal diagnosis of heart failure (HF). It further assesses the association between the metrics of hospital financial health and the usage of those EHR-generated tools.A cross-sectional study design was used. The study used data from the 2016 American Hospital Association Annual Survey Information Technology Supplement, the Pennsylvania Health Care Cost Containment Council's (PHC4's) 2017 Hospital Performance Report, and the PHC4 General Acute Care Hospitals Financial Analysis Report for fiscal year 2017. Contingency tables, likelihood-ratio chi-square tests, and logistic regression were applied for data analysis.Usage of the EHR to assess adherence to clinical practice guidelines and create EHR-generated unit-level performance dashboards, rather than organizational performance dashboards, was more strongly associated with the hospitals' rating in risk-adjusted 30-day readmissions for HF patients. An increase in hospitals' operating margin was associated with greater odds of the usage of the discussed EHR tools, after controlling for hospital control/ownership and the total number of beds.Usage of some EHR-generated analytical tools may be more strongly associated with lower-than-expected 30-day hospital readmissions in HF patients than with other tools. Better hospital financial health is linked with greater uptake of the discussed analytical tools. Further research could help to determine which EHR-generated tools are more effective in improving hospital outcomes in HF.

Trust and Privacy: How Patient Trust in Providers is Related to Privacy Behaviors and Attitudes

Healthcare today requires extensive sharing and access to patient health information. The use of health information technology (health IT) exacerbates patients' privacy concerns because it expands the availability of patient data to numerous members of the healthcare team. Patient concerns about the privacy of their data may be associated with nondisclosure of their information to providers. Patient trust in physicians, a multi-dimensional perception influenced by patient, physician, and situational factors, can facilitate disclosure and use of health IT. Previous work has done little to explore how specific dimensions of trust in physicians are related to patient information-sharing concerns or behavior. Using data from a nationally-representative survey, we show that patients with higher trust in provider confidentiality have significantly lower likelihood of reporting having ever withheld important health information and lower likelihood of thinking it is important to find out who has looked at their medical records. Patient trust in physician competence is related to higher likelihood of thinking it is important for health care providers to share information electronically This work sheds light on the importance of considering multiple dimensions of trust for patient behavior and attitudes related to their information sharing with health care providers.

How Does Electronic Health Information Exchange Affect Hospital Performance Efficiency? The Effects of Breadth and Depth of Information Sharing

EXECUTIVE SUMMARY

This research was motivated by the large investment in health information technology (IT) by hospitals and the inconsistent findings related to the effects of health IT adoption on hospital performance. Building on resource orchestration theory and the information systems literature, the authors developed a research model to investigate how the configuration strategies for sharing information under health IT systems affect hospital efficiency. The hypotheses were tested using data from the 2010 annual and IT surveys of the American Hospital Association, Centers for Medicare & Medicaid Services case mix index, and U.S. Census Bureau's small-area income and poverty estimates. The study revealed that in health IT systems, the breadth (extent) and depth (level of detail) of digital information sharing among stakeholders each has a curvilinear relationship with hospital efficiency. In addition, breadth and depth reinforce each other's positive effects and attenuate each other's negative effects, and their balance has a positive effect on hospital efficiency. The results of this research have the potential to enrich the literature on the value of adopting health IT systems as well as in providing practitioner guidelines for meaningful use.

Exploring the Impact of a Telehealth Care System on Organizational Capabilities and Organizational Performance from a Resource-Based Perspective

This study explored the effects of information technology (IT) resources-in conjunction with IT infrastructure and organizational resources-on organizational capabilities and performance. The study further analyzed the mediating effect of organizational capabilities on the relationship between IT resources and organizational performance. A cross-sectional research design was adopted, and questionnaire copies were administered to senior care supervisors of Taiwanese day care centers, care institutions, and hospitals. In total, 328 valid questionnaire responses were obtained. The study results are summarized as follows: (1) A direct effect analysis revealed that IT infrastructure significantly affected service performance and financial performance; organizational resources significantly affected service performance but did not significantly affect financial performance. (2) A mediation model analysis indicated that organizational capabilities exerted a mediating effect on the relationship between IT resources and organizational performance. These results can serve as a reference for medical care organizations in developing strategies for reviewing internal IT resources, integrating internal and external capabilities, creating a competitive advantage, and boosting their performance.

Electronic health records systems and hospital clinical performance: a study of nationwide hospital data

OBJECTIVE

Electronic health records (EHRs) were expected to yield numerous benefits. However, early studies found mixed evidence of this. We sought to determine whether widespread adoption of modern EHRs in the US has improved clinical care.

METHODS

We studied hospitals reporting performance measures from 2008-2015 in the Centers for Medicare and Medicaid Services Hospital Compare database that also reported having an EHR in the American Hospital Association 2015 IT supplement. Using interrupted time-series analysis, we examined the association of EHR implementation, EHR vendor, and Meaningful Use status with 11 process measures and 30-day hospital readmission and mortality rates for heart failure, pneumonia, and acute myocardial infarction.

RESULTS

A total of 1246 hospitals contributed 8222 hospital-years. Compared to hospitals without EHRs, hospitals with EHRs had significant improvements over time on 5 of 11 process measures. There were no substantial differences in readmission or mortality rates. Hospitals with CPSI EHR systems performed worse on several process and outcome measures. Otherwise, we found no substantial improvements in process measures or condition-specific outcomes by duration of EHR use, EHR vendor, or a hospital's Meaningful Use Stage 1 or Stage 2 status.

CONCLUSION

In this national study of hospitals with modern EHRs, EHR use was associated with better process of care measure performance but did not improve condition-specific readmission or mortality rates regardless of duration of EHR use, vendor choice, or Meaningful Use status. Further research is required to understand why EHRs have yet to improve standard outcome measures and how to better realize the potential benefits of EHR systems.

Diffusion dynamics of electronic health records: A longitudinal observational study comparing data from hospitals in Germany and the United States

BACKGROUND

While aiming for the same goal of building a national eHealth Infrastructure, Germany and the United States pursued different strategic approaches - particularly regarding the role of promoting the adoption and usage of hospital Electronic Health Records (EHR).

OBJECTIVE

To measure and model the diffusion dynamics of EHRs in German hospital care and to contrast the results with the developments in the US.

MATERIALS AND METHODS

All acute care hospitals that were members of the German statutory health system were surveyed during the period 2007-2017 for EHR adoption. Bass models were computed based on the German data and the corresponding data of the American Hospital Association (AHA) from non-federal hospitals in order to model and explain the diffusion of innovation.

RESULTS

While the diffusion dynamics observed in the US resembled the typical s-shaped curve with high imitation effects (q = 0.583) but with a relatively low innovation effect (p = 0.025), EHR diffusion in Germany stagnated with adoption rates of approx. 50% (imitation effect q = -0.544) despite a higher innovation effect (p = 0.303).

DISCUSSION

These findings correlate with different governmental strategies in the US and Germany of financially supporting EHR adoption. Imitation only seems to work if there are financial incentives, e.g. those of the HITECH Act in the US. They are lacking in Germany, where the government left health IT adoption strategies solely to the free market and the consensus among all of the stakeholders.

CONCLUSION

Bass diffusion models proved to be useful for distinguishing the diffusion dynamics in German and US non-federal hospitals. When applying the Bass model, the imitation parameter needs a broader interpretation beyond the network effects, including driving forces such as incentives and regulations, as was demonstrated by this study.

Is duration of hospital participation in meaningful use associated with value in Medicare?

Objectives

“Meaningful Use” (MU) of electronic health records (EHRs) is a measure used by Medicare to determine whether hospitals are comprehensively using electronic tools. Whether hospitals’ engagement in value-based initiatives such as MU is associated with value—defined as high quality and low costs—is unknown. Our objectives were to describe hospital participation in MU, and determine whether duration of participation is associated with value.

Materials and Methods

We linked national Medicare data with MU and other hospital-level and market data. We analyzed bivariate relationships to characterize duration of participation. We estimated inverse probability-weighted multilevel logistic regressions to evaluate whether duration of participation was associated with higher likelihood of value—operationalized as having performance on 30-day readmission and inpatient spending at or below the national average.

Results

Of 2860 short-term hospitals, 59% had 4 or 5 years of MU participation by 2015; 7% had 1 or 2 years. There were differences by duration of participation across location, ownership, and size. Seventeen percent of hospitals were classified as high-value. Controlling for hospital characteristics, and holding constant market location, there was no evidence of a statistical association between duration of participation and value (odds ratio = 1.05, 95% confidence interval: 0.91–1.21; P = .51). Examining the 2 outcomes separately, there was a significant relationship between duration of participation and lower Medicare inpatient spending, but not 30-day readmission.

Discussion

Sustained participation in MU is associated with lower Medicare spending, but not with lower readmission rates.

Conclusion

Policy interventions aimed at increasing value may need a broader focus than EHR implementation and use.

Impact of Medicare's Nonpayment Program on Venous Thromboembolism Following Hip and Knee Replacements

OBJECTIVE

To determine whether Medicare's Nonpayment Program was associated with decline in venous thromboembolism (VTE) following hip and knee replacements; and whether the decline was greater among hospitals at risk of larger financial losses from the Program.

DATA SOURCES

State Inpatient Database for New York (NY) from 2005 to 2013.

STUDY DESIGN

The primary outcome was an occurrence of VTE. Medicare Utilization Ratio (MUR), which is the proportion of inpatient days in a hospital that is financed by Medicare, represented a hospital's financial sensitivity. We used hierarchical logistic regressions with difference-in-differences estimation to study the Program effects.

PRINCIPAL FINDINGS

A total of 98,729 hip replacement and 111,361 knee replacement stays were identified. For hip replacement, the Program was associated with significant reduction (Range: 44% to 53%) in VTE incidence among hospitals in MUR quartiles 2 to 4. For knee replacement, the Program was associated with significant reduction (47%) in VTE incidence only among quartile 2 hospitals.

CONCLUSION

Implementation of the Program was associated with a reduction in VTE, especially for hip replacements, in higher MUR hospitals. Payment reforms such as Medicare's Nonpayment Program that withhold payments for complications are effective and should be continued.

Does participation in health information exchange improve hospital efficiency?

The federal government allocated nearly $30 billion to spur the development of information technology infrastructure capable of supporting the exchange of interoperable clinical data, leading to growth in hospital participation in health information exchange (HIE) networks. HIEs have the potential to improve care coordination across healthcare providers, leading ultimately to increased productivity of health services for hospitals. However, the impact of HIE participation on hospital efficiency remains unclear. This dynamic prompts the question asked by this study: does HIE participation improve hospital efficiency. This study estimates the effect of HIE participation on efficiency using a national sample of 1017 hospitals from 2009 to 2012. Using a two-stage analytic design, efficiency indices were determined using the Malmquist algorithm and then regressed on a set of hospital characteristics. Results suggest that any participation in HIE can improve both technical efficiency change and total factor productivity (TFP). A second model examining total years of HIE participation shows a benefit of one and three years of participation on TFP. These results suggest that hospital investment in HIE participation may be a useful strategy to improve hospital operational performance, and that policy should continue to support increased participation and use of HIE. More research is needed to identify the exact mechanisms through which HIE participation can improve hospital efficiency.

The use of information technology to enhance patient safety and nursing efficiency

BACKGROUND

Issues in patient safety and nursing efficiency have long been of concern. Advancing the role of nursing informatics is seen as the best way to address this.

OBJECTIVES

The aim of this study was to determine if the use, outcomes and satisfaction with a nursing information system (NIS) improved patient safety and the quality of nursing care in a hospital in Taiwan.

METHOD

This study adopts a quasi-experimental design. Nurses and patients were surveyed by questionnaire and data retrieval before and after the implementation of NIS in terms of blood drawing, nursing process, drug administration, bar code scanning, shift handover, and information and communication integration.

RESULTS

Physiologic values were easier to read and interpret; it took less time to complete electronic records (3.7 vs. 9.1 min); the number of errors in drug administration was reduced (0.08% vs. 0.39%); bar codes reduced the number of errors in blood drawing (0 vs. 10) and transportation of specimens (0 vs. 0.42%); satisfaction with electronic shift handover increased significantly; there was a reduction in nursing turnover (14.9% vs. 16%); patient satisfaction increased significantly (3.46 vs. 3.34).

CONCLUSIONS

Introduction of NIS improved patient safety and nursing efficiency and increased nurse and patient satisfaction. Medical organizations must continually improve the nursing information system if they are to provide patients with high quality service in a competitive environment.

Short-term Impact of Meaningful Use Stage 1 Implementation: A Comparison of Health Outcomes in 2 Primary Care Clinics

We studied a primary care clinic transitioning to Meaningful Use stage 1 and a comparison clinic within the same health system. In the 6 months following implementation, after adjusting for confounders, mean systolic blood pressure worsened (+3.3 mm Hg; P = .004) in the intervention clinic compared with the comparison clinic. We did not see a change in the mean or proportion of patients meeting target goals for diabetes (hemoglobin A1c) or obesity (body mass index). Our findings suggest that the worsening of systolic blood pressure associated with Meaningful Use implementation is likely due to distractions of system changes negatively impacting health outcomes.

The Catch to Confidentiality: The Use of Electronic Health Records in Adolescent Health Care

PURPOSE

This study aims to understand pediatric health-care providers' expectations and the practices they employ to protect confidentiality in electronic health records (EHRs) and subsequently how EHRs affect the documentation and dissemination of information in the course of health-care delivery to adolescent minors.

METHODS

Twenty-six pediatric health-care providers participated in in-depth interviews about their experiences using EHRs to understand a broad spectrum of expectations and practices guiding the documentation and dissemination of information in the EHR. A thematic analysis of interviews was conducted to draw findings and conclusions.

RESULTS

Two themes and several subthemes emerged centering on how EHRs affected confidentiality expectations and practices. Participants expressed confidentiality concerns due to the EHR's longevity as a legacy record, its multidimensional uses, and increased access by users (theme 1). These concerns affected practices for protecting adolescent confidentiality within the EHR (theme 2). Practices included selectively omitting or concealing information and utilizing sets of personal and collective codes designed to alert providers or teams of providers to confidential information within a patient's record.

CONCLUSIONS

EHRs create new and unresolved challenges for pediatric health care as they alter expectations of confidentiality and the documentation and dissemination of information within the record. This is particularly relevant in the course of care to adolescent minors as EHRs may compromise the tenuous balance providers maintain between protecting confidentiality and effective documentation within the record.

Body Mass Index of 92,027 patients acutely admitted to general hospitals in Denmark: Associated clinical characteristics and 30-day mortality

BACKGROUND

Data are sparse on the range of BMI among patients acutely admitted to general hospitals. We investigated BMI values and associated patient characteristics, reasons for hospital admission, and mortality in Denmark.

METHODS

We identified all persons with an acute inpatient admission 2011-2014 in Central Denmark Region and assessed BMI measurements recorded in the Clinical Information System. We used cross-sectional and cohort analyses to examine the BMI distribution and its association with demographic characteristics, comorbidities, medication use, tobacco smoking, reasons for admission, and 30-day mortality.

RESULTS

Among 92,027 acutely admitted patients (median age 62 years, 49% female) with a BMI measurement, 4% had a BMI (kg/m2) <18.5, 42% a BMI between 18.5 and 25, 34% a BMI between 25 and 30, and 20% a BMI ≥30. Compared with normal-weight patients, 30-day mortality was high among patients with BMI <18.5 (7.5% vs. 2.8%, age- and smoking-adjusted odds ratio (aOR) 2.4; 95% confidence interval (CI): 2.0-2.9, whereas patients with overweight (aOR 0.7; 95% CI: 0.6-0.8) and obesity class I (aOR 0.8; 95% CI: 0.6-0.9)). Compared with the total population, patients with BMI <18.5 were older (68 years median); more were female (73%); more had comorbidities (Charlson Comorbidity Index score >0 in 42% vs. 33% overall), more were current smokers (45% vs. 27% overall), and acute admissions due to respiratory diseases or femoral fractures were frequent. In contrast, patients with BMI ≥30 were relatively young (59 years median), fewer smoked (24%): type 2 diabetes, sleep disorders, cholelithiasis, and heart failure were frequent diagnoses. Prevalence of therapies for metabolic syndrome, pain, and psychiatric disorders increased with higher BMI, while patients with BMI <18.5 frequently used asthma medications, glucocorticoids, and antibiotics.

CONCLUSION

In patients acutely admitted to general hospitals, reasons for hospital admission and associated clinical characteristics differ substantially according to BMI range. BMI <18.5 is a clinical predictor of high short-term mortality.

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.

Information technology to support patient engagement: where do we stand and where can we go?

Objective

Given the strong push to empower patients and make them partners in their health care, we evaluated the current capability of hospitals to offer health information technology that facilitates patient engagement (PE).

Materials and Methods

Using an ontology mapping approach, items from the American Hospital Association Information Technology Supplement were mapped to defined levels and categories within the PE Framework. Points were assigned for each health information technology function based upon the level of engagement it encompassed to create a PE-information technology (PE-IT) score. Scores were divided into tertiles, and hospital characteristics were compared across tertiles. An ordered logit model was used to estimate the effect of characteristics on the adjusted odds of being in the highest tertile of PE-IT scores.

Results

Thirty-six functions were mapped to specific levels and categories of the PE Framework, and adoption of each item ranged from 23.5 to 96.7%. Hospital characteristics associated with being in the highest tertile of PE-IT scores included medium and large bed size (relative to small), nonprofit (relative to government nonfederal), teaching hospital, system member, Midwest and South regions, and urban location.

Discussion

Hospital adoption of PE-oriented technology remains varied, suggesting that hospitals are considering how technology can create partnerships with patients. However, PE functionalities that facilitate higher levels of engagement are lacking, suggesting room for improvement.

Conclusion

While hospitals have reached modest levels of adoption of PE technologies, consistent monitoring of this capacity can identify opportunities to use technology to facilitate engagement.

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.

Meaningful Use of Electronic Health Records and Medicare Expenditures: Evidence from a Panel Data Analysis of U.S. Health Care Markets, 2010-2013

OBJECTIVE

To determine if recent growth in hospital and physician electronic health record (EHR) adoption and use is correlated with decreases in expenditures for elderly Medicare beneficiaries.

DATA SOURCES

American Hospital Association (AHA) General Survey and Information Technology Supplement, Health Information Management Systems Society (HIMSS) Analytics survey, SK&A Information Services, and the Centers for Medicare & Medicaid Services (CMS) Chronic Conditions Data Warehouse Geographic Variation Database for 2010 through 2013.

STUDY DESIGN

Fixed effects model comparing associations between hospital referral region (HRR) level measures of hospital and physician EHR penetration and annual Medicare expenditures for beneficiaries with one of four chronic conditions. Calculated hospital penetration rates as the percentage of Medicare discharges from hospitals that satisfied criteria analogous to Meaningful Use (MU) Stage 1 requirements and physician rates as the percentage of physicians using ambulatory care EHRs.

PRINCIPAL FINDINGS

An increase in the hospital penetration rate was associated with a small but statistically significant decrease in total Medicare and Medicare Part A acute care expenditures per beneficiary. An increase in physician EHR penetration was also associated with a significant decrease in total Medicare and Medicare Part A acute care expenditures per beneficiary as well as a decrease in Medicare Part B expenditures per beneficiary. For the study population, we estimate approximately $3.8 billion in savings related to hospital and physician EHR adoption during 2010-2013. We also found that an increase in physician EHR penetration was associated with an increase in lab test expenses.

CONCLUSIONS

Health care markets that had steeper increases in EHR penetration during 2010-2013 also had steeper decreases in total Medicare and acute care expenditures per beneficiary. Markets with greater increases in physician EHR had greater declines in Medicare Part B expenditures per beneficiary.

Impact of Medicare's Nonpayment Program on Hospital-acquired Conditions

BACKGROUND

Medicare's Nonpayment Program of 2008 (hereafter called Program) withholds hospital reimbursement for costs related to hospital-acquired conditions (HACs). Little is known whether a hospital's Medicare patient load [quantified by the hospital's Medicare utilization ratio (MUR), which is the proportion of inpatient days financed by Medicare] influences its response to the Program.

OBJECTIVE

To determine whether the Program was associated with changes in HAC incidence, and whether this association varies across hospitals with differential Medicare patient load.

RESEARCH DESIGN

Quasi-experimental study using difference-in-differences estimation. Incidence of HACs before and after Program implementation was compared across hospital MUR quartiles.

SUBJECTS

A total of 867,584 elderly Medicare stays for acute myocardial infarction, congestive heart failure, pneumonia, and stroke that were discharged from 159 New York State hospitals from 2005 to 2012.

MEASURES

For descriptive analysis, hospital-level mean HAC rates by month, MUR quartile, and Program phase are reported. For multivariate analysis, primary outcome is incidence of the any-or-none indicator for occurrence of at least 1 of 6 HACs. Secondary outcomes are the incidence of each HAC.

RESULTS

The Program was associated with decline in incidence of (i) any-or-none indicator among MUR quartile 2 hospitals (conditional odds ratio=0.57; 95% confidence interval, 0.38-0.87), and (ii) catheter-associated urinary tract infections among MUR quartile 3 hospitals (conditional odds ratio=0.30; 95% confidence interval, 0.12-0.75) as compared with MUR quartile 1 hospitals. Significant declines in certain HACs were noted in the stratified analysis.

CONCLUSIONS

The Program was associated with decline in incidence of selected HACs, and this decline was variably greater among hospitals with higher MUR.

Ceiling effect in EMR system assimilation: a multiple case study in primary care family practices

BACKGROUND

There has been indisputable growth in adoption of electronic medical record (EMR) systems in the recent years. However, physicians' progress in using these systems has stagnated when measured with maturity scales. While this so-called ceiling effect has been observed and its consequences described in previous studies, there is a paucity of research on the elements that could explain such an outcome. We first suggest that in the context of EMR systems we are in presence of a "tiered ceiling effect" and then we show why such phenomenon occurs.

METHODS

We conducted in-depth case studies in three primary care medical practices in Canada where physicians had been using EMR systems for 3 years or more. A total of 37 semi-structured interviews were conducted with key informants: family physicians (about half of the interviews), nurses, secretaries, and administrative managers. Additional information was obtained through notes taken during observations of users interacting with their EMR systems and consultation of relevant documents at each site. We used abductive reasoning to infer explanations of the observed phenomenon by going back and forth between the case data and conceptual insights.

RESULTS

Our analysis shows that a ceiling effect has taken place in the three clinics. We identified a set of conditions preventing the users from overcoming the ceiling. In adopting an EMR system, all three clinics essentially sought improved operational efficiency. This had an influence on the criteria used to assess the systems available on the market and eventually led to the adoption of a system that met the specified criteria without being optimal. Later, training sessions focussed on basic functionalities that minimally disturbed physicians' habits while helping their medical practices become more efficient. Satisfied with the outcome of their system use, physicians were likely to ignore more advanced EMR system functionalities. This was because their knowledge about EMR systems came almost exclusively from a single source of information: their EMR system vendors. This knowledge took the form of interpretations of what the innovation was (know-what), with little consideration of the rationales for innovation adoption (know-why) or hands-on strategies for adopting, implementing and assimilating the innovation in the organization (know-how).

CONCLUSIONS

This paper provides a holistic view of the technological innovation process in primary care and contends that limited learning, satisficing behaviours and organizational inertia are important factors leading to the ceiling effect frequently experienced in the EMR system assimilation phase.

Hospital Adoption of Health Information Technology to Support Public Health Infrastructure

CONTEXT

Health information technology (IT) has the potential to improve the nation's public health infrastructure. In support of this belief, meaningful use incentives include criteria for hospitals to electronically report to immunization registries, as well as to public health agencies for reportable laboratory results and syndromic surveillance. Electronic reporting can facilitate faster and more appropriate public health response. However, it remains unclear the extent that hospitals have adopted IT for public health efforts.

OBJECTIVE

To examine hospital adoption of IT for public health and to compare hospitals capable of using and not using public health IT.

DESIGN

Cross-sectional design with data from the 2012 American Hospital Association annual survey matched with data from the 2013 American Hospital Association Information Technology Supplement. Multivariate logistic regression was used to compare hospital characteristics. Inverse probability weights were applied to adjust for selection bias because of survey nonresponse.

PARTICIPANTS

All acute care general hospitals in the United States that matched across the surveys and had complete data available were included in the analytic sample.

MAIN OUTCOME MEASURES

Three separate outcome measures were used: whether the hospital could electronically report to immunization registries, whether the hospital could send electronic laboratory results, and whether the hospital can participate in syndromic surveillance.

RESULTS

A total of 2841 hospitals met the inclusion criteria. Weighted results show that of these hospitals, 62.7% can electronically submit to immunization registries, 56.6% can electronically report laboratory results, and 54.4% can electronically report syndromic surveillance. Adjusted and weighted results from the multivariate analyses show that small, rural hospitals and hospitals without electronic health record systems lag in the adoption of public health IT capabilities.

CONCLUSION

While a majority of hospitals are using public health IT, the infrastructure still has significant room for growth. Differences in hospitals' adoption of public health IT may exacerbate existing health disparities.

Implementation of an online HIV prevention and treatment cascade in Thai men who have sex with men and transgender women using Adam's Love Electronic Health Record system

OBJECTIVES

Electronic health record (EHR) systems have been infrequently used to support HIV service delivery models to optimise HIV prevention and treatment cascades. We have studied the implementation, uptake and use of an EHR among Thai men who have sex with men (MSM) and transgender (TG) women.

METHODS

Participants, e-counselled via the Adam's Love ( www.adamslove.org) support platforms, after having completed risk behaviour questionnaires and being assessed for their HIV risk by online counsellors, were enrolled based on their preference into one of three EHR-supported arms: (1) private clinic-based HIV testing and counselling (HTC); (2) online pretest counselling and private clinic-based HIV testing (hybrid); and (3) online supervised HIV self-testing and counselling (eHTC).

RESULTS

Between December 2015 and May 2016, of a total of 489 MSM and TG women were introduced to the study, 186 (38%) enrolled into the study, with 89, 72 and 25 participants joining the HTC, hybrid and eHTC arms, respectively. Seeking sex online was reported by 83.9%. HIV prevalence was highest (16%) in the eHTC arm, and participants in this arm were more likely to be younger (median age 25 vs 29 vs 27 years; P=0.01), bisexual (16% vs 9.7% vs 5.6%; P=0.005), with an unknown history of HIV or first-time HIV testers (48% vs 25% vs 19.1%; P=0.01) or had tested >1 year ago (15.8% vs 4.8% vs 3.4%, P=0.04), compared with those in the hybrid and HTC arms. Around half (48.3%) of them revisited the EHR at least once to access laboratory results, read post-test summaries and make an appointment for another HIV test. The participants in the eHTC arm had reduced odds of revisiting the EHR twice or more as compared with participants in the HTC [odds ratio (OR) 0.14, 95% confidence interval (CI) 0.03-0.67, P=0.01] and hybrid arms (OR 0.10, 95% CI 0.02-0.44, P=0.003). Overall the EHR satisfaction was high at 4.4 (SD 0.68) on a Likert scale of 5.

CONCLUSIONS

Young and high-risk MSM and some TG women engaged successfully with the Adam's Love EHR system, showing its potential to support innovative service delivery models and target hard-to-reach and vulnerable populations.

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.

Electronic health records to facilitate clinical research

Electronic health records (EHRs) provide opportunities to enhance patient care, embed performance measures in clinical practice, and facilitate clinical research. Concerns have been raised about the increasing recruitment challenges in trials, burdensome and obtrusive data collection, and uncertain generalizability of the results. Leveraging electronic health records to counterbalance these trends is an area of intense interest. The initial applications of electronic health records, as the primary data source is envisioned for observational studies, embedded pragmatic or post-marketing registry-based randomized studies, or comparative effectiveness studies. Advancing this approach to randomized clinical trials, electronic health records may potentially be used to assess study feasibility, to facilitate patient recruitment, and streamline data collection at baseline and follow-up. Ensuring data security and privacy, overcoming the challenges associated with linking diverse systems and maintaining infrastructure for repeat use of high quality data, are some of the challenges associated with using electronic health records in clinical research. Collaboration between academia, industry, regulatory bodies, policy makers, patients, and electronic health record vendors is critical for the greater use of electronic health records in clinical research. This manuscript identifies the key steps required to advance the role of electronic health records in cardiovascular clinical research.

Achieving Adherence to Evidence-Based Practices

In response to evolving policies and conditions, hospitals have increased health information technology (HIT) adoption and strived to improve hospital–physician integration. While evidence suggests that both HIT and integration confer independent benefits, when combined, they may provide complementary means to achieve high performance or overlap to offset each other’s contribution. We explore this relationship in the context of hospital adherence to evidence-based practices (EBPs). Using the American Hospital Association’s Annual and IT Supplement surveys, and Centers for Medicare and Medicaid Services’s Hospital Compare, we estimate the independent relationships and interactions between HIT and hospital–physician integration with respect to EBP adherence. HIT adoption and tight (but not loose) integration are independently associated with greater adherence to EBPs. The interaction between HIT adoption and tight integration is negative, consistent with an offsetting association between HIT adoption and integration in their relationship to EBP adherence. This finding reveals the need to be aware of potential substitutive effects from simultaneous pursuit of multiple approaches to performance improvement.

Implementation of Electronic Health Records and Entrepreneurial Strategic Orientation in Substance Use Disorder Treatment Organizations

OBJECTIVE

This research studied the relationships of the components of entrepreneurial strategic orientation (ESO) with implementation of electronic health records (EHRs) within organizations that treat patients with substance use disorders (SUDs).

METHOD

A national sample of 317 SUD treatment providers were studied in a period after the Health Information Technology for Economic and Clinical Health (HITECH) Act was enacted (2009) and meaningful use EHR requirements were established (2010), but before implementation of the Affordable Care Act. The study sample was selected using stratified random sampling and was part of a longitudinal study of treatment providers across the United States.

RESULTS

After we controlled for potentially confounding variables, four components of ESO had a significant relationship with EHR implementation. Levels of slack resources in an organization moderated the relationship of ESO with meaningful use of EHRs, increasing the strength of the relationship for some components but reducing the strength of others.

CONCLUSIONS

From a policy and practice perspective, the results suggest that training and education to develop higher levels of ESO within SUD treatment organizations are likely to increase their level of meaningful use of EHRs, which in turn may enhance the integration of SUD treatment with primary medical providers, better preparing SUD treatment providers for the environmental changes of the Affordable Care Act.

Quality improvement teams, super-users, and nurse champions: a recipe for meaningful use?

OBJECTIVE

This study assessed whether having an electronic health record (EHR) super-user, nurse champion for meaningful use (MU), and quality improvement (QI) team leading MU implementation is positively associated with MU Stage 1 demonstration.

METHODS

Data on MU demonstration of 596 providers in 37 ambulatory care clinics came from the clinical data warehouse and administrative systems of UNC Health Care. We surveyed the 37 clinics about champions, super-users, and QI teams. We used generalized estimating equation methods with an independence working correlation matrix to account for clustering within clinics and to weight contributions from each clinic according to clinic size.

RESULTS

Having a QI team lead MU implementation was significantly associated with MU demonstration (odds ratio, OR = 3.57, 95% CI, 1.83-6.96, P < .001, Table 2). Having neither a nurse champion nor an EHR super-user was significant.

CONCLUSION

Our findings support the alignment of MU with QI efforts by having the QI team lead MU implementation.

Personal Health Record Use in the United States: Forecasting Future Adoption Levels

Background

Personal health records (PHRs) offer a tremendous opportunity to generate consumer support in pursing the triple aim of reducing costs, increasing access, and improving care quality. Moreover, surveys in the United States indicate that consumers want Web-based access to their medical records. However, concerns that consumers’ low health information literacy levels and physicians’ resistance to sharing notes will limit PHRs’ utility to a relatively small portion of the population have reduced both the product innovation and policy imperatives.

Objective

The purpose of our study was 3-fold: first, to report on US consumers’ current level of PHR activity; second, to describe the roles of imitation and innovation influence factors in determining PHR adoption rates; and third, to forecast future PHR diffusion uptake among US consumers under 3 scenarios.

Methods

We used secondary data from the Health Information National Trends Survey (HINTS) of US citizens for the survey years 2008, 2011, and 2013. Applying technology diffusion theory and Bass modeling, we evaluated 3 future PHR adoption scenarios by varying the introduction dates.

Results

All models displayed the characteristic diffusion S-curve indicating that the PHR technology is likely to achieve significant market penetration ahead of meaningful use goals. The best-performing model indicates that PHR adoption will exceed 75% by 2020. Therefore, the meaningful use program targets for PHR adoption are below the rates likely to occur without an intervention.

Conclusions

The promise of improved care quality and cost savings through better consumer engagement prompted the US Institute of Medicine to call for universal PHR adoption in 1999. The PHR products available as of 2014 are likely to meet and exceed meaningful use stage 3 targets before 2020 without any incentive. Therefore, more ambitious uptake and functionality availability should be incorporated into future goals.

Impact of Heath Information Technology on the Quality of Patient Care

OBJECTIVE

To examine the relationships among Electronic Health Record (EHR) adoption and adverse outcomes and satisfaction in hospitalized patients.

MATERIALS AND METHODS

This secondary analysis of cross sectional data was compiled from four sources: (1) State Inpatient Database from the Healthcare Cost Utilization Project; (2) Healthcare Information and Management Systems Society (HIMSS) Dorenfest Institute; (3) Hospital Consumer Assessment of Healthcare Providers and Systems Survey (HCAHPS) and (4) New Jersey nurse survey data. The final analytic sample consisted of data on 854,258 adult patients discharged from 70 New Jersey hospitals in 2006 and 7,679 nurses working in those same hospitals. The analytic approach used ordinary least squares and multiple regression models to estimate the effects of EHR adoption stage on the delivery of nursing care and patient outcomes, controlling for characteristics of patients, nurses, and hospitals.

RESULTS

Advanced EHR adoption was independently associated with fewer patients with prolonged length of stay and seven-day readmissions. Advanced EHR adoption was not associated with patient satisfaction even when controlling for the strong relationships between better nursing practice environments, particularly staffing and resource adequacy, and missed nursing care and more patients reporting "Top-Box," satisfaction ratings.

CONCLUSIONS

This innovative study demonstrated that advanced stages of EHR adoption show some promise in improving important patient outcomes of prolonged length of stay and hospital readmissions. Strongly evident by the relationships among better nursing work environments, better quality nursing care, and patient satisfaction is the importance of supporting the fundamentals of quality nursing care as technology is integrated into practice.

Modest Associations Between Electronic Health Record Use and Acute Myocardial Infarction Quality of Care and Outcomes: Results From the National Cardiovascular Data Registry

BACKGROUND

In 2009, national legislation promoted wide-spread adoption of electronic health records (EHRs) across US hospitals; however, the association of EHR use with quality of care and outcomes after acute myocardial infarction (AMI) remains unclear.

METHODS AND RESULTS

Data on EHR use were collected from the American Hospital Association Annual Surveys (2007-2010) and data on AMI care and outcomes from the National Cardiovascular Data Registry Acute Coronary Treatment and Interventions Outcomes Network Registry-Get With The Guidelines. Comparisons were made between patients treated at hospitals with fully implemented EHR (n=43 527), partially implemented EHR (n=72 029), and no EHR (n=9270). Overall EHR use increased from 82.1% (183/223) hospitals in 2007 to 99.3% (275/277) hospitals in 2010. Patients treated at hospitals with fully implemented EHRs had fewer heparin overdosing errors (45.7% versus 72.8%; P<0.01) and a higher likelihood of guideline-recommended care (adjusted odds ratio, 1.40 [confidence interval, 1.07-1.84]) compared with patients treated at hospitals with no EHR. In non-ST-segment-elevation AMI, fully implemented EHR use was associated with lower risk of major bleeding (adjusted odds ratio, 0.78 [confidence interval, 0.67-0.91]) and mortality (adjusted odds ratio, 0.82 [confidence interval, 0.69-0.97]) compared with no EHR. In ST-segment-elevation MI, outcomes did not significantly differ by EHR status.

CONCLUSIONS

EHR use has risen to high levels among hospitals in the National Cardiovascular Data Registry. EHR use was associated with less frequent heparin overdosing and modestly greater adherence to acute MI guideline-recommended therapies. In non-ST-segment-elevation MI, slightly lower adjusted risk of major bleeding and mortality were seen in hospitals implemented with full EHRs; however, in ST-segment-elevation MI, differences in outcomes were not seen.

EHR Adoption and Hospital Performance: Time-Related Effects

OBJECTIVE

To assess whether, 5 years into the HITECH programs, national data reflect a consistent relationship between EHR adoption and hospital outcomes across three important dimensions of hospital performance.

DATA SOURCES/STUDY SETTING

Secondary data from the American Hospital Association and CMS (Hospital Compare and EHR Incentive Programs) for nonfederal, acute-care hospitals (2009-2012).

STUDY DESIGN

We examined the relationship between EHR adoption and three hospital outcomes (process adherence, patient satisfaction, efficiency) using ordinary least squares models with hospital fixed effects. Time-related effects were assessed through comparing the impact of EHR adoption pre (2008/2009) versus post (2010/2011) meaningful use and by meaningful use attestation cohort (2011, 2012, 2013, Never). We used a continuous measure of hospital EHR adoption based on the proportion of electronic functions implemented.

DATA COLLECTION/EXTRACTION METHODS

We created a panel dataset with hospital-year observations.

PRINCIPAL FINDINGS

Higher levels of EHR adoption were associated with better performance on process adherence (0.147; p < .001) and patient satisfaction (0.118; p < .001), but not efficiency (0.01; p = .78). For all three outcomes, there was a stronger, positive relationship between EHR adoption and performance in 2010/2011 compared to 2008/2009. We found mixed results based on meaningful use attestation cohort.

CONCLUSIONS

Performance gains associated with EHR adoption are apparent in more recent years. The large national investment in EHRs appears to be delivering more consistent benefits than indicated by earlier national studies.