Electronic Health Records’ Limited Successes Suggest More Targeted Uses

Cashing in: cost-benefit analysis framework for digital hospitals

BACKGROUND

For many countries, especially those outside the USA without incentive payments, implementing and maintaining electronic medical records (EMR) is expensive and can be controversial given the large amounts of investment. Evaluating the value of EMR implementation is necessary to understand whether or not, such investment, especially when it comes from the public source, is an efficient allocation of healthcare resources. Nonetheless, most countries have struggled to measure the return on EMR investment due to the lack of appropriate evaluation frameworks.

METHODS

This paper outlines the development of an evidence-based digital health cost-benefit analysis (eHealth-CBA) framework to calculate the total economic value of the EMR implementation over time. A net positive benefit indicates such investment represents improved efficiency, and a net negative is considered a wasteful use of public resources.

RESULTS

We developed a three-stage process that takes into account the complexity of the healthcare system and its stakeholders, the investment appraisal and evaluation practice, and the existing knowledge of EMR implementation. The three stages include (1) literature review, (2) stakeholder consultation, and (3) CBA framework development. The framework maps the impacts of the EMR to the quadruple aim of healthcare and clearly creates a method for value assessment.

CONCLUSIONS

The proposed framework is the first step toward developing a comprehensive evaluation framework for EMRs to inform health decision-makers about the economic value of digital investments rather than just the financial value.

The unfulfilled promises of electronic health records

We provide a brief update on the current evidence on electronic health records' benefits, risks, and potential harms through a rapid narrative review. Many of the promised benefits of electronic health records have not yet been realised. Electronic health records are often not user-friendly. To enhance their potential, electronic health record platforms should be continuously evaluated and enhanced by carefully considering feedback from all stakeholders.

Intelligent Health: Progress and Benefit of Artificial Intelligence in Sensing-Based Monitoring and Disease Diagnosis

Technology has progressed and allows people to go further in multiple fields related to social issues. Medicine cannot be the exception, especially nowadays, when the COVID-19 pandemic has accelerated the use of technology to continue living meaningfully, but mainly in giving consideration to people who remain confined at home with health issues. Our research question is: how can artificial intelligence (AI) translated into technological devices be used to identify health issues, improve people's health, or prevent severe patient damage? Our work hypothesis is that technology has improved so much during the last decades that Medicine cannot remain apart from this progress. It must integrate technology into treatments so proper communication between intelligent devices and human bodies could better prevent health issues and even correct those already manifested. Consequently, we will answer: what has been the progress of Medicine using intelligent sensor-based devices? Which of those devices are the most used in medical practices? Which is the most benefited population, and what do physicians currently use this technology for? Could sensor-based monitoring and disease diagnosis represent a difference in how the medical praxis takes place nowadays, favouring prevention as opposed to healing?

Visual Analytics to Leverage Anesthesia Electronic Health Record

BACKGROUND

Visual analytics is the science of analytical reasoning supported by interactive visual interfaces called dashboards. In this report, we describe our experience addressing the challenges in visual analytics of anesthesia electronic health record (EHR) data using a commercially available business intelligence (BI) platform. As a primary outcome, we discuss some performance metrics of the dashboards, and as a secondary outcome, we outline some operational enhancements and financial savings associated with deploying the dashboards.

METHODS

Data were transferred from the EHR to our departmental servers using several parallel processes. A custom structured query language (SQL) query was written to extract the relevant data fields and to clean the data. Tableau was used to design multiple dashboards for clinical operation, performance improvement, and business management.

RESULTS

Before deployment of the dashboards, detailed case counts and attributions were available for the operating rooms (ORs) from perioperative services; however, the same level of detail was not available for non-OR locations. Deployment of the yearly case count dashboards provided near-real-time case count information from both central and non-OR locations among multiple campuses, which was not previously available. The visual presentation of monthly data for each year allowed us to recognize seasonality in case volumes and adjust our supply chain to prevent shortages. The dashboards highlighted the systemwide volume of cases in our endoscopy suites, which allowed us to target these supplies for pricing negotiations, with an estimated annual cost savings of $250,000. Our central venous pressure (CVP) dashboard enabled us to provide individual practitioner feedback, thus increasing our monthly CVP checklist compliance from approximately 92% to 99%.

CONCLUSIONS

The customization and visualization of EHR data are both possible and worthwhile for the leveraging of information into easily comprehensible and actionable data for the improvement of health care provision and practice management. Limitations inherent to EHR data presentation make this customization necessary, and continued open access to the underlying data set is essential.

Rationalising pre-operative trauma bloods can lead to significant cost savings

BACKGROUND

A full set of pre-operative bloods is being done on nearly all trauma patients who are admitted to our institute for surgery-regardless of variables such as patient age, injury sustained, or co-morbidities. This leads to unnecessary bloods being taken.

AIMS

The primary aims are (1) to calculate the costs associated with routine pre-operative bloods and (2) to examine how much money could be saved by retrospectively applying a more pragmatic pre-operative bloods policy.

METHODS

Trauma theatre cases over a 5-week period were identified with their pre-operative bloods and post-operative transfusions. Labour, material, and processing costs were estimated for each test. An updated pre-operative blood schedule was proposed and applied retrospectively to see if cost savings could be found.

RESULTS

Of the 173 orthopaedic procedures performed, 109 (63%) had a group and screen or crossmatch pre-operatively. Fifteen (8.6%) required a post-operative blood transfusion. One hundred and twenty-eight (74%) patients had a full blood count, and renal profile taken pre-operatively. A full set of bloods costs approximately €51.23 to take and process. When the updated pre-operative blood guidelines were retrospectively applied, it would have led to cost savings of €2496 over the 5-week period of this audit, and if extrapolated up to 1 year, could lead to potential annual savings of €25,960.

CONCLUSIONS

We have demonstrated that an excessive amount of unnecessary pre-operative bloods have been taken using the current blood schedule. A pragmatic pre-operative blood schedule can lead to significant actual cost savings.

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.

Online patient portal use by caregivers in pediatric oncology: Are we widening sociodemographic disparities?

BACKGROUND

Financial and regulatory incentives have encouraged and increased the availability of online patient portals that provide caregivers access to their child's electronic health records (EHR). Such access is believed to promote better engagement and outcomes of care. Little is known about the use of portals by caregivers of children with cancer. This study sought to examine whether sociodemographic and clinical care variables are associated with portal activation in a pediatric oncology sample.

METHODS

Sociodemographic and clinical characteristics were extracted from the EHR of pediatric oncology patients treated for their first cancer in the Nemours Center for Cancer and Blood Disorders between 2012 and 2017. A Child Opportunity Index (COI) was calculated based on home zip code. Characteristics of children whose caregivers did and did not activate the portal were compared.

RESULTS

Sixty-six percent of caregivers activated a portal account with a peak within 90 days of diagnosis. In logistic regression, caregivers with a younger aged child, spoke English, lived closer to the hospital, lived in higher COI area, with longer treatment length, and more radiology tests had greater odds of portal activation. Those with private health insurance or White race were overrepresented among those who activated an account in univariate analysis.

CONCLUSION

The majority of caregivers of children with cancer activate portal accounts; however, differences in sociodemographic and clinical variables across those who did and did not activate accounts emerged. As portals become ubiquitous, we must understand how they are used and mitigate widening inequities caused by disparate portal use.

Health systems' use of enterprise health information exchange vs single electronic health record vendor environments and unplanned readmissions

OBJECTIVE

Enterprise health information exchange (HIE) and a single electronic health record (EHR) vendor solution are 2 information exchange approaches to improve performance and increase the quality of care. This study sought to determine the association between adoption of enterprise HIE vs a single vendor environment and changes in unplanned readmissions.

MATERIALS AND METHODS

The association between unplanned 30-day readmissions among adult patients and adoption of enterprise HIE or a single vendor environment was measured in a panel of 211 system-member hospitals from 2010 through 2014 using fixed-effects regression models. Sample hospitals were members of health systems in 7 states. Enterprise HIE was defined as self-reported ability to exchange information with other members of the same health system who used different EHR vendors. A single EHR vendor environment reported exchanging information with other health system members, but all using the same EHR vendor.

RESULTS

Enterprise HIE adoption was more common among the study sample than EHR (75% vs 24%). However, adoption of a single EHR vendor environment was associated with a 0.8% reduction in the probability of a readmission within 30 days of discharge. The estimated impact of adopting an enterprise HIE strategy on readmissions was smaller and not statically significant.

CONCLUSION

Reductions in the probability of an unplanned readmission after a hospital adopts a single vendor environment suggests that HIE technologies can better support the aim of higher quality care. Additionally, health systems may benefit more from a single vendor environment approach than attempting to foster exchange across multiple EHR vendors.

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.

Sustaining Innovations in Complex Health Care Environments: A Multiple-Case Study of Rapid Response Teams

OBJECTIVES

Rapid response teams (RRTs) are one innovation previously deployed in U.S. hospitals with the goal to improve the quality of care. Sustaining RRTs is important to achieve the desired implementation outcomes, reduce the risk of program investment losses, and prevent employee disillusionment and dissatisfaction. This study sought to examine factors that do and do not support the sustainability of RRTs.

METHODS

The study was conceptually guided by an adapted version of the Planning Model of Sustainability. A multiple-case study was conducted using a purposive sample of 2 hospitals with high RRT sustainability scores and 2 hospitals with low RRT sustainability scores. Data collection methods included (a) a hospital questionnaire that was completed by a nurse administrator at each hospital; (b) semistructured interviews with leaders, RRT members, and those activating RRT calls; and (c) a review of internal documents. Quantitative data were analyzed using descriptive statistics; qualitative data were analyzed using content analysis.

RESULTS

Few descriptive differences were found between hospitals. However, there were notable differences in the operationalization of certain factors between high- and low-sustainability hospitals. Additional sustainability factors other than those captured by the Planning Model of Sustainability were also identified.

CONCLUSIONS

The sustainability of RRTs is optimized through effective operationalization of organizational and project design and implementation factors. Two additional factors-individual and team characteristics-should be included in the Planning Model of Sustainability and considered as potential facilitators (or inhibitors) of RRT sustainability.

The efficiency analysis and spatial implications of health information technology: A regional exploratory study in China

The new adoption of healthcare information technology is costly, and effects on healthcare performance can be questionable. This nationwide study in China investigated the efficient performance of healthcare information technology and examined its spatial correlation. Panel data were extracted from the Annual Investigation Report on Hospital Information in China and the China Health Statistics Yearbook for 2007 through 2015 (279 observations). Stochastic frontier analysis was employed to estimate the technical efficiency of healthcare information technology performance and related factors at the regional level. Healthcare information technology performance was positively associated with electronic medical records, total input, and cost of inpatient stay, while picture archiving and communication systems and net assets were negatively related. Local Indicators of Spatial Association showed that there existed significant spatial autocorrelation. Governmental policies would best make distinctions among different forms of healthcare information technology, especially between electronic medical records and picture archiving and communication systems. Policies should be formulated to improve healthcare information technology adoption and reduce regional differences.

Association of Data Integration Technologies With Intensive Care Clinician Performance: A Systematic Review and Meta-analysis

IMPORTANCE

Sources of data in the intensive care setting are increasing exponentially, but the benefits of displaying multiparametric, high-frequency data are unknown. Decision making may not benefit from this technology if clinicians remain cognitively overburdened by poorly designed data integration and visualization technologies (DIVTs).

OBJECTIVE

To systematically review and summarize the published evidence on the association of user-centered DIVTs with intensive care clinician performance.

DATA SOURCES

MEDLINE, Embase, Cochrane Central Register of Controlled Trials, PsycINFO, and Web of Science were searched in May 2014 and January 2018.

STUDY SELECTION

Studies had 3 requirements: (1) the study tested a viable DIVT, (2) participants involved were intensive care clinicians, and (3) the study reported quantitative results associated with decision making in an intensive care setting.

DATA EXTRACTION AND SYNTHESIS

Of 252 records screened, 20 studies, published from 2004 to 2016, were included. The human factors framework to assess health technologies was applied to measure study completeness, and the Quality Assessment Instrument was used to assess the quality of the studies. PRISMA guidelines were adapted to conduct the systematic review and meta-analysis.

MAIN OUTCOMES AND MEASURES

Study completeness and quality; clinician performance; physical, mental, and temporal demand; effort; frustration; time to decision; and decision accuracy.

RESULTS

Of the 20 included studies, 16 were experimental studies with 410 intensive care clinician participants and 4 were survey-based studies with 1511 respondents. Scores for study completeness ranged from 27 to 43, with a maximum score of 47, and scores for study quality ranged from 46 to 79, with a maximum score of 90. Of 20 studies, DIVTs were evaluated in clinical settings in 2 studies (10%); time to decision was measured in 14 studies (70%); and decision accuracy was measured in 11 studies (55%). Measures of cognitive workload pooled in the meta-analysis suggested that any DIVT was an improvement over paper-based data in terms of self-reported performance, mental and temporal demand, and effort. With a maximum score of 22, median (IQR) mental demand scores for electronic display were 10 (7-13), tabular display scores were 8 (6.0-11.5), and novel visualization scores were 8 (6-12), compared with 17 (14-19) for paper. The median (IQR) temporal demand scores were also lower for all electronic visualizations compared with paper, with scores of 8 (6-11) for electronic display, 7 (6-11) for tabular and bar displays, 7 (5-11) for novel visualizations, and 16 (14.3-19.0) for paper. The median (IQR) performance scores improved for all electronic visualizations compared with paper (lower score indicates better self-reported performance), with scores of 6 (3-11) for electronic displays, 6 (4-11) for tabular and bar displays, 6 (4-11) for novel visualizations, and 14 (11-16) for paper. Frustration and physical demand domains of cognitive workload did not change, and differences between electronic displays were not significant.

CONCLUSIONS AND RELEVANCE

This review suggests that DIVTs are associated with increased integration and consistency of data. Much work remains to identify which visualizations effectively reduce cognitive workload to enhance decision making based on intensive care data. Standardizing human factors testing by developing a repository of open access benchmarked test protocols, using a set of outcome measures, scenarios, and data sets, may accelerate the design and selection of the most appropriate DIVT.

Deprescribing in the context of multiple providers: understanding patient preferences

OBJECTIVES

Deprescribing could reduce the risk of harm from inappropriate medications. We characterized patients' acceptance of deprescribing recommendations from pharmacists, primary care providers (PCPs), and specialists relative to the original prescriber's professional background.

STUDY DESIGN

Secondary analysis of national Patient Perceptions of Discontinuation survey responses from Veterans Affairs (VA) primary care patients with 5 or more prescriptions.

METHODS

We created 4 relative deprescribing authority (RDA) outcome groups from responses to 2 yes/no (Y/N) items: (1) "Imagine…a specialist…prescribed a medicine. Would you be comfortable if your PCP told you to stop...it?" and (2) "Imagine…your VA PCP prescribed a medicine. Would you be comfortable if a VA clinical pharmacist [Pharm] told you to stop…it?" Multinomial regression associated patient factors with RDA.

RESULTS

Respondents (n = 803; adjusted response rate, 52%) were predominantly men (85%) and older than 65 years (60%). A total of 281 (38%) respondents said no to both questions (PCP-N/Pharm-N) and 146 (20%) said yes to both (PCP-Y/Pharm-Y). A total of 155 (21%) said no to a PCP stopping a specialist's medicine but yes to a pharmacist stopping a PCP's (PCP-N/Pharm-Y). A total of 153 (21%) said that a PCP could stop a specialist's medication but a pharmacist could not stop a PCP's (PCP-Y/Pharm-N). In adjusted models (reference, PCP-N/Pharm-N), those with greater medication concerns were more likely to respond PCP-Y/Pharm-Y (odds ratio [OR], 1.45; 95% CI, 1.09-1.92). Those with more interest in shared decision making were more likely to respond PCP-N/Pharm-Y (OR, 1.41; 95% CI, 1.04-1.92). Those with greater trust in their PCP were less likely to respond PCP-N/Pharm-Y (OR, 0.52; 95% CI, 0.34-0.81) but more likely to respond PCP-Y/Pharm-N (OR, 2.16; 95% CI, 1.31-3.56) or PCP-Y/Pharm-Y (OR, 1.83; 95% CI, 1.13-2.98).

CONCLUSIONS

Understanding patient preferences of RDA can facilitate effective design and implementation of deprescribing interventions.

Are on-line patient portals meeting test result preferences of caregivers of children with cancer? A qualitative exploration

BACKGROUND

Management of pediatric cancer entails frequent laboratory and radiology testing to monitor response to treatment, side effects, and possible relapse of disease. Little is known about how caregivers of children with cancer would like to receive results of these tests and whether on-line patient portals may meet those preferences.

PROCEDURES

One-on-one semistructured interviews were conducted with 19 caregivers of children with cancer purposively sampled for breadth on demographic characteristics. Inductive qualitative content coding/analysis was utilized to distill caregiver's preferred methods for test result acquisition and their views of using an on-line patient portal to do so.

RESULTS

The relative prioritization of speed of information and mode of communication (i.e., "in person," by phone, etc.) revealed three preference styles. Factors including type of testing, type of result, and the time course within their child's care modified these preferences, and the desire to reduce anxiety played a central role. Caregivers recognized advantages of portal use including getting results "fast," being able to visualize trends in results, "keeping a record," and not interfering with clinic flow. Perceived disadvantages included the results being "complicated" or easily misunderstood, and learning results prior to disclosure by care team.

CONCLUSION

This study provides insight into the importance of understanding of how caregivers want test results and how they utilize the portal. Preferences for result acquisition vary on many factors and include the desire to decrease anxiety. As portal use increases, we have a duty to integrate this technology responsibly.

The role of a best practice alert in the electronic medical record in reducing repetitive lab tests

Background

The recommendations of the American Board of Internal Medicine Foundation’s “Choosing Wisely^®” initiative recognize the importance of improving the appropriateness of testing behavior and reducing the number of duplicate laboratory tests.

Objective

To assess the effectiveness of an electronic medical record Best Practice Alert (BPA or “pop up”) intervention aimed at reducing duplicate laboratory tests and hospital costs.

Design

Comparison of the number of duplicated laboratory tests performed on inpatients before and after the intervention.

Setting

University of Florida Health Shands Hospital, Gainesville, FL, USA, during 2014–2017.

Intervention

The electronic medical record intervention was a BPA pop-up alert that informed the ordering physician if a recent identical order already existed along with the “ordering time”, “collecting time”, “resulting time”, and the result itself.

Main outcome measures

Percentage change in the number of inpatient duplicate orders of selected clinical biochemistry tests and cost savings from reduction of the duplicates. Student’s t-test and beta-binomial models were used to analyze the data.

Results

Results from the beta-binomial model indicated that the intervention reduced the overall duplicates by 18% (OR=0.82, standard error=0.016, P-value<0.000). Percent reductions in 9 of the 17 tests were statistically significant: serum hemoglobin A1C level, vitamin B12, serum erythrocyte sedimentation rate, serum folate, serum iron, lipid panel, respiratory viral panel, serum thyroid stimulating hormone level, and Vitamin D. Additionally, important cost savings were realized from the reduction of duplicates for each lab test (with the exception of CRP) with an estimated overall savings of $72,543 over 17 months in the post-intervention period.

Conclusions

The present study included all hospital inpatients and covered 17 clinical laboratory tests. This rather simple and low-cost intervention resulted in significant reductions in percentage duplicates of several tests and resulted in cost savings. The study also highlights the role of hospitalists in quality improvement.

The Kentucky Appalachian Stroke Registry (KApSR)

BACKGROUND

The population of rural Kentucky and West Virginia has a disproportionately high incidence of stroke and stroke risk factors. The Kentucky Appalachian Stroke Registry (KApSR) is a novel registry of stroke patients developed to collect demographic and clinical data in real time from these patients' electronic health records.

OBJECTIVE

We describe the development of this novel registry and test it for ability to provide the information necessary to identify care gaps and direct clinical management.

METHODS

The KApSR was developed as described in this article. To assess utility in patient care, we developed a "Diabetes Quality Assurance Dashboard" by cross-referencing patients in the registry with a diagnosis of ischemic cerebrovascular disease with patients that were tested for hemoglobin A1c (HbA1c) levels, patients with HbA1c levels diagnostic for diabetes mellitus (DM), and patients with an elevated HbA1c that were formally diagnosed with DM.

RESULTS

For the 1008 patients treated for ischemic cerebrovascular disease in the year studied, 859 (85%) had their HbA1c tested. Of those, 281 had levels of 6.5 or greater, although only 261 (93%) were discharged with a formal diagnosis of DM.

CONCLUSIONS

The KApSR has practical value as a tool to assess a large population of patients quickly for care quality and for research purposes.

Do provider attitudes about electronic health records predict future electronic health record use?

INTRODUCTION

Prior research has shown that provider attitudes about EHRs are associated with successful adoption. There is no evidence on whether comfort with technology and more positive attitudes about EHRs affect use of EHR functions once they are adopted.

METHODS

We used data from a survey of providers in the Primary Care Information Project, a bureau of the New York City Department of Health and Mental Hygiene and measures of use from their EHRs. The main predictor variables were scores on three indices: comfort with computers, positive attitudes about EHRs, and negative attitudes about EHRs. The main outcome measures were four measures of use of EHR functions. We used linear regression models to test the association between the three indices and measures of EHR use.

RESULTS

The mean comfort with computers score was 2.37 (SD0.53) on a scale of 1-3 with 3 being the most comfortable. The mean positive attitude score was 2.74 (SD 0.40) on a scale of 1-3 with 3 being more positive. The mean negative attitude score was 1.81 (SD 0.54) on a scale of 1-3 with 3 being more negative. Within the first twelve months of having the EHR, 59.5% of visits had allergy information entered into a structured field, 64.8% had medications reviewed, and 74.3% had blood pressured entered. Among visits with a prescription generated, 24.5% had prescriptions electronically. In multivariate regression analysis, we found no significant correlations between comfort with computers, positive attitudes about EHRs, or negative attitudes about EHRs and any of the measures of use.

DISCUSSION

Comfort with computers and attitudes about EHRs did not predict future use of the EHR functions. Our findings suggest that meaningful use of the EHR may not be affected by providers' prior attitudes about EHRs.

Effects of Hospital Systems on Medical Home Transformation in Primary Care Residency Training Practices

Most primary care residency training practices have close financial and administrative relationships with teaching hospitals and health systems. Many residency practices have begun integrating the core principles of the patient-centered medical home (PCMH) into clinical workflows and educational experiences. Little is known about how the relationships with hospitals and health systems affect these transformation efforts. Data from the Colorado Residency PCMH Project were analyzed. Results show that teaching hospitals and health systems have significant opportunities to influence residency practices' transformation, particularly in the areas of supporting team-based care, value-based payment reforms, and health information technology.

Understanding optimisation processes of electronic health records (EHRs) in select leading hospitals: a qualitative study

Background

Little is known about optimisation of electronic health records (EHRs) systems in the hospital setting while adoption of EHR systems continues in the United States.

Objective

To understand optimisation processes of EHR systems undertaken in leading healthcare organisations in the United States.

Methods

Informed by a grounded theory approach, a qualitative study was undertaken that involved 11 in-depth interviews and a focus group with the EHR experts from the high performing healthcare organisations across the United States.

Results

The study describes EHR optimisation processes characterised by prioritising exponentially increasing requests with predominant focus on improving efficiency of EHR, building optimisation teams or advisory groups and standardisation. The study discusses 16 types of optimisation that interdependently produced 16 results along with identifying 11 barriers and 20 facilitators to optimisation.

Conclusions

The study describes overall experiences of optimising EHRs in select high performing healthcare organisations in the US. The findings highlight the importance of optimising the EHR after, and even before, go-live and dedicating resources exclusively for optimisation.

Meaningful Use and Hospital Performance on Post-Acute Utilization Indicators

OBJECTIVES

To examine trends in hospital post-acute utilization indicators and to determine whether improvement in these indicators is associated with attesting to meaningful use (MU).

DATA SOURCES

Medicare claims-based, repeated measures on 30-day hospital-wide all-cause readmission and emergency department (ED) utilization rates for 160 short-stay hospitals (2009-2012); Medicare EHR Incentive Program Payments files (2011-2012); and other hospital and market data.

STUDY DESIGN

Interrupted time series with concurrent comparison group.

PRINCIPAL FINDINGS

Propensity score-weighted multilevel models for change demonstrate that 30-day readmission rates (unadjusted) fell from 13.4 percent in 2009 to 12.1 percent in 2012. Similarly, 30-day ED utilization declined from 18.9 percent to 17.3 percent during the same period. However, MU and non-MU hospitals were indistinguishable vis-à-vis performance. Controlling for hospital and market characteristics, MU was unrelated to 30-day readmission. In contrast, 30-day ED utilization deteriorated.

CONCLUSIONS

Hospitals with MU Stage 1 designation did not show significantly higher improvement on post-acute utilization compared to their counterparts without. To achieve gains in quality and safety, potentially associated with EHRs, and to advance care coordination and patient engagement, the regulators should strengthen accountability by linking comprehensive, outcomes-based performance measures to specific MU objectives.

Association of Electronic Health Record Use With Quality of Care and Outcomes in Heart Failure: An Analysis of Get With The Guidelines-Heart Failure

BACKGROUND

Adoption of electronic health record (EHR) systems has increased significantly across the nation. Whether EHR use has translated into improved quality of care and outcomes in heart failure (HF) is not well studied.

METHODS AND RESULTS

We examined participants from the Get With The Guidelines-HF registry who were admitted with HF in 2008 (N=21 222), using various degrees of EHR implementation (no EHR, partial EHR, and full EHR). We performed multivariable logistic regression to determine the relation between EHR status and several in-hospital quality metrics and outcomes. In a substudy of Medicare participants (N=8421), we assessed the relation between EHR status and rates of 30-day mortality, readmission, and a composite outcome. In the cohort, the mean age was 71±15 years, 49% were women, and 64% were white. The mean ejection fraction was 39±17%. Participants were admitted to hospitals with no EHR (N=1484), partial EHR (N=13 473), and full EHR (N=6265). There was no association between EHR status and several quality metrics (aside from β blocker at discharge) or in-hospital outcomes on multivariable adjusted logistic regression (P>0.05 for all comparisons). In the Medicare cohort, there was no association between EHR status and 30-day mortality, readmission, or the combined outcome.

CONCLUSIONS

In a large registry of hospitalized patients with HF, there was no association between degrees of EHR implementation and several quality metrics and 30-day postdischarge death or readmission. Our results suggest that EHR may not be sufficient to improve HF quality or related outcomes.

Changes in the quality of care during progress from stage 1 to stage 2 of Meaningful Use

Background

The Centers for Medicare and Medicaid Services (CMS) canceled Meaningful Use (MU), replacing it with Advancing Care Information, which preserves many MU elements. Therefore, transitioning from MU stage 1 to MU stage 2 has important implications for the new policy, yet the quality of care provided by physicians transitioning from MU1 to MU2 is unknown.

Methods

Retrospective longitudinal evaluation of the quality of care delivered by outpatient physicians at an academic medical center in the transition between MU1 and MU2.

Results

Between MU1 and MU2, 4 measures improved: hypertension control (35% vs 40%), influenza immunization (63% vs 68%), tobacco use assessment/counseling (86% vs 96%), and diabetes control (93% vs 96%; P all <.01). One worsened: senior weight screening/follow-up (54% vs 49%; P  < .01). Two were unchanged: chlamydia screening and adult weight screening/follow-up.

Conclusion

In this single-site study, when clinicians progressed from MU1 to MU2, 4 quality measures improved, 2 were unchanged, and 1 worsened. Analysis of national data should guide policy decisions about the content of MU's successor.

The Patient-Centered Care and Receipt of Preventive Services Among Older Adults With Chronic Diseases: A Nationwide Cross-sectional Study

This article investigates the associations between the patient-centered care (PCC) and receipt of preventive services among older adults with chronic diseases. Data were derived from the nationally representative Medical Expenditure Panel Survey. The full-year consolidated data files from 2009 to 2013 were pooled to yield a final analytic sample (N = 16 654). Study outcomes included the receipt of 7 types of preventive screenings and 2 types of health education services. Patients’ PCC groups were categorized as PCC, partial PCC, and non-PCC, based on 9 questions classified under the 3 distinctive attributes of PCC—whole-person care, patient engagement, and enhanced access to care. Prevalence rates for each outcome variable were calculated. We estimated odds ratios from multiple logistic regressions, comparing the likelihood of outcome variables across 3 groups of patients. Adjusting for covariates, the PCC group was more likely than the non-PCC group to receive 8 types of preventive services. The partial PCC group had a greater likelihood than the non-PCC group of receiving 7 types of preventive services. Our study reveals significant associations between PCC and receipt of preventive services. PCC has demonstrated the potential to improve preventive care for older adults with chronic diseases.

Beyond clinical priority: what matters when making operational decisions about emergency surgical queues?

Objective This paper describes the perceptions of operating theatre staff in Australia and The Netherlands regarding the influence of logistical or operational reasons that may affect the scheduling of unplanned surgical cases. It is proposed that logistical or operational issues can influence the priority determination of queue position of surgical cases on the emergency waiting list. Methods A questionnaire was developed and conducted in 15 hospitals across The Netherlands and Australia, targeting anaesthetists, managers, nurses and surgeons. Statistical analyses revolved around these four professional groups. Six hypotheses were then developed and tested based on the responses collected from the participants. Results There were significant differences in perceptions of logistics delay factors across different professional groups when patients were waiting for unplanned surgery. There were also significant differences among different groups when setting logistical priority factors for planning and scheduling unplanned cases. The hypotheses tests confirm these differences, and the findings concur with the paradigmatic differences mentioned in the literature. These paradigmatic differences among the four professional groups may explain some of the tensions encountered when making decisions about scheduling emergency surgical queues, and therefore should be taken into consideration for management of operating theatres. Conclusions Queue positions of patients waiting for unplanned surgery, or emergency surgery, are determined by medical clinicians according to clinicians' indication of clinical priority. However, operating theatre managers are important in facilitating smooth operations when planning for emergency surgeries. It is necessary for surgeons to understand the logistical challenges faced by managers when requesting logistical priorities for their operations. What is known about the topic? Tensions exist about the efficient use of operating theatres and negotiating individual surgeon's demands, especially between surgeons and managers, because in many countries surgeons only work in the hospital and not for the hospital. What does this paper add? The present study examined the logistical effects on functionality and purports the notion that, while recognising the importance of clinical precedence, logistical factors influence queue order to ensure efficient use of operating theatre resources. What are the implications for practitioners? The results indicate that there are differences in the perceptions of healthcare professionals regarding the sequencing of emergency patients. These differences may lead to conflicts in the decision making process about triaging emergency or unplanned surgical cases. A clear understanding of the different perceptions of different functional groups may help address the conflicts that often arise in practice.

A Survey of Hospitals That Participated in a Statewide Collaborative to Implement and Sustain Rapid Response Teams

OBJECTIVES

To determine the level of sustainability of rapid response teams (RRTs) among a group of hospitals that participated in a statewide collaborative to implement and sustain RRTs.

SETTING AND SAMPLE

Fifty-six hospitals located in a southeastern state in the United States participated in a statewide 9-month collaborative that provided organization leaders with resources to implement and sustain RRTs. Thirty-three of these hospitals completed the electronic survey. Two hospitals were excluded because of missing data.

MEASUREMENT

The RRT-Institutionalization Scale (RRT-IS), adapted from the Level of Institutionalization Scale, measured the degree of institutionalization (i.e., passages, routines, and niche saturation) across four subsystems: production, maintenance, supportive, and managerial.

RESULTS

Thirty-one hospitals participated (response rate 55%). Rapid response team sustainability levels ranged from 1.0 to 5.98 (mean = 3.78, 95% CI = 3.40-4.17). The highest sustainability score was reported in the managerial subsystem (median = 5.3, IQR = 4.5-7.33), and the lowest score was reported in the supportive subsystem (median = 1.0, IQR = 1.0-2.0).

CONCLUSIONS

Rapid response team sustainability levels varied across hospitals in the collaborative. Different levels of sustainability were also observed across organizational subsystems. The lack of resources, staff, and dedicated funds hampered organizations' sustainability efforts.

Designing User-Centric Patient Portals: Clinician and Patients' Uses and Gratifications

BACKGROUND

Legislation mandates that clinicians make patients' medical information available digitally. This has resulted in hurriedly installing patient portals that do not fully meet the needs of patients or clinicians. This study examined a specific portal, MyPreventiveCare (MPC), a patient-centered portal designed to promote preventive care to consumers, to elicit recommendations from patients and clinicians about how it could be more beneficial by uncovering their uses and gratifications (U&G).

MATERIALS AND METHODS

In-depth interviews with 31 patients and two clinician focus groups were conducted. Multiple methods were utilized, such as grounded theory coding to develop themes and content analysis to classify responses according to the U&G framework.

RESULTS

Four main categories emerged that users desire to be included in health portals: integration with technology (27%), coordination of care (27%), incorporation of lifestyle (26%), and increased control (20%). Additional analysis revealed that health portals are mainly utilized to fulfill cognitive and affective needs, with over 80% of recommendations related to the U&G categories of cognitive and affective needs. Cognitive (60%), affective (21%), social integrative (10%), personal integrative (9%), and tension release (0%).

CONCLUSIONS

Portals will continue to evolve and become important health communication tools if they address the user's perspective and are inclusive of new technological advances. Specifically, portals must become more user centric and incorporate aspects of the patients' lifestyle and integrate health information technology.

Cost-Effectiveness Evaluation of EHR: Simulation of an Abdominal Aortic Aneurysm in the Emergency Department

Health care organizations have installed electronic systems to increase efficiency in health care. Empirically assessing the cost-effectiveness of technologies to the health care system is a challenging and complex task. This study examined cost-effectiveness of additional clinical information supplied via an EHR system by simulating a case of abdominal aortic aneurysm devised and acted professionally by the Israel Center of Medical Simulation. We conducted a simulation-based study on physicians who were asked to treat a simulated patient for the prevalent medical scenario of hip and leg pain that actually corresponded to an abdominal aortic aneurysm. Half of the participating physicians from the Department of Emergency Medicine at Tel-Hashomer Hospital - Israel's largest - had access to an EHR system that integrates medical data from multiple health providers (community and hospitals) in addition to the local health record, and half did not. To model medical decision making, the results of the simulation were combined with a Markov Model within a decision tree. Cost-effectiveness was analyzed by comparing the effects of the admission/discharge decision in units of quality adjusted life years (QALYs) to the estimated costs. The results showed that using EHR in the ED increases the QALY of the patient and improves medical decision-making. The expenditure per patient for one QALY unit as a result of using the EHR was $1229, which is very cost-effective according to many accepted threshold values (less than all these values). Thus, using the EHR contributes to making a cost-effective decision in this specific but prevalent case.

Ten key considerations for the successful optimization of large-scale health information technology

Implementation and adoption of complex health information technology (HIT) is gaining momentum internationally. This is underpinned by the drive to improve the safety, quality, and efficiency of care. Although most of the benefits associated with HIT will only be realized through optimization of these systems, relatively few health care organizations currently have the expertise or experience needed to undertake this. It is extremely important to have systems working before embarking on HIT optimization, which, much like implementation, is an ongoing, difficult, and often expensive process. We discuss some key organization-level activities that are important in optimizing large-scale HIT systems. These include considerations relating to leadership, strategy, vision, and continuous cycles of improvement. Although these alone are not sufficient to fully optimize complex HIT, they provide a starting point for conceptualizing this important area.

Privacy in practice: professional discourse about information control in health care

Purpose

– The purpose of this paper is to explore different health care professionals’ discourse about privacy – its definition and importance in health care, and its role in their day-to-day work. Professionals’ discourse about privacy reveals how new technologies and laws challenge existing practices of information control within and between professional groups in health care, with implications not only for patient privacy, but also for the role of information control in professions more generally.

Design/methodology/approach

– The authors conducted in-depth, semi-structured interviews with n=83 doctors, nurses, and health information professionals in two academic medical centers and one veteran’s administration hospital/clinic in the Northeastern USA. Interview responses were qualitatively coded for themes and patterns across groups were identified.

Findings

– The health care providers and the authors studied actively sought to uphold the protection (and control) of patient information through professional ethics and practices, as well as through the use of technologies and compliance with legal regulations. They used discourses of professionalism, as well as of law and technology, to sometimes accept and sometimes resist changes to practice required in the changing technological and legal context of health care. The authors found differences across professional groups; for some, protection of patient information is part of core professional ethics, while for others it is simply part of their occupational work, aligned with organizational interests.

Research limitations/implications

– This qualitative study of physicians, nurses, and health information professionals revealed some differences in views and practices for protecting patient information in the changing technological and legal context of health care that suggest some professional groups (doctors) may be more likely to resist such changes and others (health information professionals) will actively adopt them.

Practical implications

– New technologies and regulations are changing how information is used in health care delivery, challenging professional practices for the control of patient information that may change the value or meaning of medical records for different professional groups.

Originality/value

– Qualitative findings suggest that professional groups in health care vary in the extent of information control they have, as well in how they view such control. Some groups may be more likely to (be able to) resist changes in the professional control of information that stem from new technologies or regulatory policies. Some professionals recognize that new IT systems and regulations challenge existing social control of information in health care, with the potential to undermine (or possibly bolster) professional self-control for some but not necessarily all occupational groups.

Texas hospitals with higher health information technology expenditures have higher revenue: A longitudinal data analysis using a generalized estimating equation model

BACKGROUND

The benefits of health information technology (IT) adoption have been reported in the literature, but whether health IT investment increases revenue generation remains an important research question.

METHODS

Texas hospital data obtained from the American Hospital Association (AHA) for 2007-2010 were used to investigate the association of health IT expenses and hospital revenue. The generalized estimation equation (GEE) with an independent error component was used to model the data controlling for cluster error within hospitals.

RESULTS

We found that health IT expenses were significantly and positively associated with hospital revenue. Our model predicted that a 100% increase in health IT expenditure would result in an 8% increase in total revenue. The effect of health IT was more associated with gross outpatient revenue than gross inpatient revenue.

CONCLUSION

Increased health IT expenses were associated with greater hospital revenue. Future research needs to confirm our findings with a national sample of hospitals.

Toward a better understanding of task demands, workload, and performance during physician-computer interactions

OBJECTIVE

To assess the relationship between (1) task demands and workload, (2) task demands and performance, and (3) workload and performance, all during physician-computer interactions in a simulated environment.

METHODS

Two experiments were performed in 2 different electronic medical record (EMR) environments: WebCIS (n = 12) and Epic (n = 17). Each participant was instructed to complete a set of prespecified tasks on 3 routine clinical EMR-based scenarios: urinary tract infection (UTI), pneumonia (PN), and heart failure (HF). Task demands were quantified using behavioral responses (click and time analysis). At the end of each scenario, subjective workload was measured using the NASA-Task-Load Index (NASA-TLX). Physiological workload was measured using pupillary dilation and electroencephalography (EEG) data collected throughout the scenarios. Performance was quantified based on the maximum severity of omission errors.

RESULTS

Data analysis indicated that the PN and HF scenarios were significantly more demanding than the UTI scenario for participants using WebCIS (P < .01), and that the PN scenario was significantly more demanding than the UTI and HF scenarios for participants using Epic (P < .01). In both experiments, the regression analysis indicated a significant relationship only between task demands and performance (P < .01).

DISCUSSION

Results suggest that task demands as experienced by participants are related to participants' performance. Future work may support the notion that task demands could be used as a quality metric that is likely representative of performance, and perhaps patient outcomes.

CONCLUSION

The present study is a reasonable next step in a systematic assessment of how task demands and workload are related to performance in EMR-evolving environments.

Engaging patients through open notes: an evaluation using mixed methods

OBJECTIVES

(A) To gain insights into the experiences of patients invited to view their doctors' visit notes, with a focus on those who review multiple notes; (B) to examine the relationships among fully transparent electronic medical records and quality of care, the patient-doctor relationship, patient engagement, self-care, self-management skills and clinical outcomes.

DESIGN

Mixed methods qualitative study: analyses of survey data, including content analysis of free-text answers, and quantitative-descriptive measures combined with semistructured individual interviews, patient activation measures, and member checks.

SETTING

Greater Boston, USA.

PARTICIPANTS

Patients cared for by primary care physicians (PCPs) at the Beth Israel Deaconess Medical Center who had electronic access to their PCP visit notes. Among those submitting surveys, 576 free-text answers were identified and analysed (414 from female patients, 162 from male patients; 23-88 years). In addition, 13 patients (9 female, 4 male; 58-87 years) were interviewed.

RESULTS

Patient experiences indicate improved understanding (of health information), better relationships (with doctors), better quality (adherence and compliance; keeping track) and improved self-care (patient-centredness, empowerment). Patients want more doctors to offer access to their notes, and some wish to contribute to their generation. Those patients with repeated experience reviewing notes express fewer concerns and more perceived benefits.

CONCLUSIONS

As the use of fully transparent medical records spreads, it is important to gain a deeper understanding of possible benefits or harms, and to characterise target populations that may require varying modes of delivery. Patient desires for expansion of this practice extend to specialty care and settings beyond the physician's office. Patients are also interested in becoming involved actively in the generation of their medical records. The OpenNotes movement may increase patient activation and engagement in important ways.

Investment subsidies and the adoption of electronic medical records in hospitals

In February 2009 the U.S. Congress unexpectedly passed the Health Information Technology for Economic and Clinical Health Act (HITECH). HITECH provides up to $27 billion to promote adoption and appropriate use of Electronic Medical Records (EMR) by hospitals. We measure the extent to which HITECH incentive payments spurred EMR adoption by independent hospitals. Adoption rates for all independent hospitals grew from 48 percent in 2008 to 77 percent by 2011. Absent HITECH incentives, we estimate that the adoption rate would have instead been 67 percent in 2011. When we consider that HITECH funds were available for all hospitals and not just marginal adopters, we estimate that the cost of generating an additional adoption was $48 million. We also estimate that in the absence of HITECH incentives, the 77 percent adoption rate would have been realized by 2013, just 2 years after the date achieved due to HITECH.

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.

Technology versus humanism: how patients perceive the use of electronic health records in physicians' offices--a qualitative study

Electronic Health Records (EHRs) have the potential to improve the quality of care. In view of the accelerated adoption of EHRs, there is a need to understand conditions necessary for their effective use. Patients are the focus of healthcare and their perceptions and expectations need to be included in developing and implementing EHRs. The purpose of this study was to gather exploratory qualitative information from patients about their experiences and perceptions regarding the effects of EHRs on healthcare quality in physicians' offices. We conducted five focus groups with patients representing a random mix of diverse socio-demographic backgrounds in Oklahoma. Related to EHRs, patients reported improvements on the technical side of care but no change on the human side. They expressed concerns about the potential for breach of confidentiality and security of medical records. They were also concerned about the possibility of governmental agencies or insurance companies having unauthorized access to patient records. Patients differentiated between the human and technical sides of care and reported no change or improvement in the doctor-patient interaction. Patients have an important perspective on the use of EHRs and their perceptions and experiences should be considered in the development, adoption and implementation of EHRs. Otherwise, the use of EHRs may not be fully effective. There is also a need to educate patients about the potential benefits and risks of EHRs and the steps being taken to mitigate such risks.

Yelp for Prescribers: A Quasi-Experimental Study of Providing Antibiotic Cost Data and Prescription of High-Cost Antibiotics in an Academic and Tertiary Care Hospital

BACKGROUND

Physicians frequently prescribe antibiotics to inpatients without knowledge of medication cost. It is not well understood whether providing cost data would change prescribing behavior.

OBJECTIVE

To evaluate the association between providing cost data alongside culture and antibiotic susceptibility results and prescribing of high-cost antibiotics.

DESIGN

Quasi-experimental pre-post analysis.

PARTICIPANTS

Inpatients diagnosed with bacteremia or urinary tract infection in two tertiary care hospitals.

INTERVENTION

Cost category data for each antibiotic ($, $$, $$$, or $$) were added to culture and susceptibility testing results available to physicians.

MAIN MEASURES

Average cost category of antibiotics prescribed to patients after the receipt of susceptibility testing results.

KEY RESULTS

There was a significant decrease in the average cost category of antibiotics per patient after the intervention (pre-intervention = 1.9 $ vs. post-intervention = 1.7 $, where 1.5 $ would mean that the average number of dollar signs for antibiotics prescribed was between $ and $$, p = 0.002). After adjusting for age, insurance type, and prior length of stay, the odds ratio (OR) of a patient's average antibiotic being higher cost vs. lower cost after the intervention compared to before the intervention was 0.74 [95% confidence interval (CI) 0.56, 0.98]. The intervention was associated with a 31.3% reduction in the average cost per unit of antibiotics prescribed (p < 0.001).

CONCLUSIONS

Providing physicians with cost feedback alongside susceptibility testing data was associated with a significant decrease in prescription of high-cost antibiotics. This intervention is intuitive, low cost, and may shift providers toward lower cost medications when equally acceptable options are available.

Lack of impact of electronic health records on quality of care and outcomes for ischemic stroke

BACKGROUND

Electronic health records (EHRs) may be key tools for improving the quality of health care, particularly for conditions for which guidelines are rapidly evolving and timely care is critical, such as ischemic stroke.

OBJECTIVES

The goal of this study was to determine whether hospitals with EHRs differed on quality or outcome measures for ischemic stroke from those without EHRs.

METHODS

We studied 626,473 patients from 1,236 U.S. hospitals in Get With the Guidelines-Stroke (GWTG-Stroke) from 2007 through 2010, linked with the American Hospital Association annual survey to determine the presence of EHRs. We conducted patient-level logistic regression analyses for each of the outcomes of interest.

RESULTS

A total of 511 hospitals had EHRs by the end of the study period. Hospitals with EHRs were larger and were more often teaching hospitals and stroke centers. After controlling for patient and hospital characteristics, patients admitted to hospitals with EHRs had similar odds of receiving "all-or-none" care (odds ratio [OR]: 1.03; 95% CI: 0.99 to 1.06; p=0.12), of discharge home (OR: 1.02; 95% CI: 0.99 to 1.04; p=0.15), and of in-hospital mortality (OR: 1.01; 95% CI: 0.96 to 1.05; p=0.82). The odds of having a length of stay>4 days was slightly lower at hospitals with EHRs (OR: 0.97; 95% CI: 0.95 to 0.99; p=0.01).

CONCLUSIONS

In our sample of GWTG-Stroke hospitals, EHRs were not associated with higher-quality care or better clinical outcomes for stroke care. Although EHRs may be necessary for an increasingly high-tech, transparent healthcare system, as currently implemented, they do not appear to be sufficient to improve outcomes for this important disease.

Collaboration Between Surgeons and Medical Oncologists and Outcomes for Patients With Stage III Colon Cancer

PURPOSE

Collaboration between specialists is essential for achieving high-value care in patients with complex cancer needs. We explore how collaboration between oncologists and surgeons affects mortality and cost for patients requiring multispecialty cancer care.

PATIENTS AND METHODS

This was a retrospective cohort study of patients with stage III colon cancer from SEER-Medicare diagnosed between 2000 and 2009. Patients were assigned to a primary treating surgeon and oncologist. Collaboration between surgeon and oncologist was measured as the number of patients shared between them; this has been shown to reflect advice seeking and referral relationships between physicians. Outcomes included hazards for all-cause mortality, subhazards for colon cancer-specific mortality, and cost of care at 12 months.

RESULTS

A total of 9,329 patients received care from 3,623 different surgeons and 2,319 medical oncologists, representing 6,827 unique surgeon-medical oncologist pairs. As the number of patients shared between specialists increased from to one to five (25th to 75th percentile), patients experienced an approximately 20% improved survival benefit from all-cause and colon cancer-specific mortalities. Specifically, for each additional patient shared between oncologist and surgeon, all-cause mortality improved by 5% (hazard ratio, 0.95; 95%CI, 0.92 to 0.97), and colon cancer-specific mortality improved by 5% (subhazard ratio, 0.95; 95% CI, 0.91 to 0.97). There was no association with cost.

CONCLUSION

Specialist collaboration is associated with lower mortality without increased cost among patients with stage III colon cancer. Facilitating formal and informal collaboration between specialists may be an important strategy for improving the care of patients with complex cancers.

The impact of health information technology on disparity of process of care

Introduction

Disparities in the quality of health care and treatment among racial or ethnic groups can result from unequal access to medical care, disparate treatments for similar severities of symptoms, and wide divergence in general health status among individuals. Such disparities may be eliminated through better use of health information technology (IT). Investment in health IT could foster better coordinated care, improve guideline compliance, and reduce the likelihood of redundant testing, thereby encouraging more equitable treatment for underprivileged populations. However, there is little research exploring the impact of health IT investment on disparities of process of care.

Methodology

This study examines the impact of health IT investment on waiting times – from admission to the date of first principle procedure – among different racial and ethnic groups, using patient and hospital data for the state of California collected from 2001 to 2007. The final sample includes 14,056,930 patients admitted with medical diseases to 316 unique, acute-care hospitals over a seven-year period. The linear random intercept and slope model was employed to examine the impacts of health IT investment on waiting time, while controlling for patient, disease, and hospital characteristics.

Results

Greater health IT investment was associated with shorter waiting times, and the reduction in waiting times was greater for non-White than for White patients. This indicates that minority populations could benefit from health IT investment with regard to process of care.

Conclusion

Investments in health IT may reduce disparities in process of care.

Electronic supplementary material

The online version of this article (doi:10.1186/s12939-015-0161-3) contains supplementary material, which is available to authorized users.