Small, nonteaching, and rural hospitals continue to be slow in adopting electronic health record systems

The Impact of Market Factors on Meaningful Use of Electronic Health Records Among Primary Care Providers: Evidence From Florida Using Resource Dependence Theory and Information Uncertainty Perspective

BACKGROUND

Using federal funds from the 2009 Health Information Technology for Economic and Clinical Health Act, the Centers for Medicare and Medicaid Services funded the 2011-2021 Medicaid electronic health record (EHR) incentive programs throughout the country.

OBJECTIVE

Identify the market factors associated with Meaningful Use (MU) of EHRs after primary care providers (PCPs) enrolled in the Florida-EHR incentives program through Adopting, Improving, or Upgrading (AIU) an EHR technology.

RESEARCH DESIGN

Retrospective cohort study using 2011-2018 program records for 8464 Medicaid providers.

MAIN OUTCOME

MU achievement after first-year incentives.

INDEPENDENT VARIABLES

The resource dependence theory and the information uncertainty perspective were used to generate key-independent variables, including the county's rurality, educational attainment, poverty, health maintenance organization penetration, and number of PCPs per capita.

ANALYTICAL APPROACH

All the county rates were converted into 3 dichotomous measures corresponding to high, medium, and low terciles. Descriptive and bivariate statistics were calculated. A generalized hierarchical linear model was used because MU data were clustered at the county level (level 2) and measured at the practice level (level 1).

RESULTS

Overall, 41.9% of Florida Medicaid providers achieved MU after receiving first-year incentives. Rurality was positively associated with MU ( P <0.001). Significant differences in MU achievements were obtained when we compared the "high" terciles with the "low" terciles for poverty rates ( P =0.002), health maintenance organization penetration rates ( P =0.02), and number of PCPs per capita ( P =0.01). These relationships were negative.

CONCLUSIONS

Policy makers and health care managers should not ignore the contribution of market factors in EHR adoption.

Basic electronic health record (EHR) adoption in **Türkiye is nearly complete but challenges persist

BACKGROUND

The digitalization studies in public hospitals in Türkiye started with the Health Transformation Program in 2003. As digitalization was accomplished, the policymakers needed to measure hospitals' electronic health record (EHR) usage and adoptions. The ministry of health has been measuring the dissemination of meaningful usage and adoption of EHR since 2013 using Electronic Medical Record Adoption Model (EMRAM). The first published study about this analysis covered the surveys applied between 2013 and 2017. The results showed that 63.1% of all hospitals in Türkiye had at least basic EHR functions, and 36% had comprehensive EHR functions. Measuring the countrywide EHR adoption level is becoming popular in the world. This study aims to measure adoption levels of EHR in public hospitals in Türkiye, indicate the change to the previous study, and make a benchmark with other countries measuring national EHR adoption levels. The research question of this study is to reveal whether there has been a change in the adoption level of EHR in the three years since 2018 in Türkiye. Also, make a benchmark with other countries such as the US, Japan, and China in country-wide EHR adoption in 2021.

METHODS

In 2021, 717 public hospitals actively operating in Türkiye completed the EMRAM survey. The survey results, deals with five topics (General Stage Status, Information Technology Security, Electronic Health Record/Clinical Data Repository, Clinical Documentation, Closed-Loop Management), was reviewed by the authors. Survey data were compared according to hospital type (Specialty Hospitals, General Hospitals, Teaching and Research Hospitals) in terms of general stage status. The data obtained from the survey results were analyzed with QlikView Personal Edition. The availability and prevalence of medical information systems and EHR functions and their use were measured.

RESULTS

We found that 33.7% of public hospitals in Türkiye have only basic EHR functions, and 66.3% have extensive EHR functions, which yields that all hospitals (100%) have at least basic EHR functions. That means remarkable progress from the previous study covering 2013 and 2017. This level also indicates that Türkiye has slightly better adoption from the US (96%) and much better than China (85.3%) and Korea (58.1%).

CONCLUSIONS

Although there has been outstanding (50%) progress since 2017 in Turkish public hospitals, it seems there is still a long way to disseminate comprehensive EHR functions, such as closed-loop medication administration, clinical decision support systems, patient engagement, etc. Measuring the stage of EHR adoption at regular intervals and on analytical scales is an effective management tool for policymakers. The bottom-up adoption approach established for adopting and managing EHR functions in the US has also yielded successful results in Türkiye.

Exploring facilitators of the implementation of electronic health records in Saudi Arabia

INTRODUCTION

The introduction of information technology was one of the key priorities for policy-makers in health care organisations over the last two decades due to the potential benefits of this technology to improve health care services and quality. However, approximately 50% of those projects failed to achieve their intended aims. This was a result of several factors, including the cost of these projects. The Saudi Ministry of Health (MoH) planned to implement an electronic health record system (EHRS) in approximately 2100 primary health care centres nationwide. It was acknowledged that this project may face hurdles, which might result in the failure of the project if implementation facilitators were not first determined. According to the Saudi MoH, previous electronic health record system implementation in primary health care centres failed as a consequence of several barriers, such as poor infrastructure, lack of connectivity and lack of interoperability. However, the facilitators of successful electronic health record system implementation in Saudi primary health care centres are not understood.

AIM

To determine the facilitators that enhance the success of the implementation of an EHRS in public primary health care centres in SA.

METHOD

A mixed methods approach was used with both qualitative and quantitative methods (qualitative using semistructured interviews and quantitative with a closed survey). The purpose of the utilisation of exploratory mixed methods was to identify a wide range of facilitators that may influence EHRS implementation. The data were obtained from two different perspectives, primary health care centre practitioners and project team members. A total of 351 practitioners from 21 primary health care centres participated in the online survey, and 14 key informants at the Saudi Ministry of Health who were directly involved in the electronic health record system implementation in the primary health care centres agreed to be interviewed face to face.

RESULTS

The findings from both studies revealed several facilitators. Among these facilitators, financial resources were found to be the most influential factor that assisted in overcoming some barriers, such as software selection. The size of the primary health care centres was the second facilitator of successful implementation, despite the scale of the project. Perceived usefulness was another facilitator identified in both the interviews and the survey. More than 90% of the participants thought that the electronic health record system was useful and could contribute to improving the quality of health care services. While a high level of satisfaction was expressed towards the electronic health record system's usability and efficiency, low levels of satisfaction were recorded for organisational factors such as user involvement, training and support. Hence, system usability and efficiency were documented to be other facilitators of successful electronic health record system implementation in Saudi primary health care centres.

CONCLUSION

The findings of the present study suggest that sufficient financial support is essential to enhance the success of electronic health record system implementation despite the scale of the project. Additionally, effective leadership and project management are core factors to overcome many obstacles and ensure the success of large-scale projects.

A Comparison of Infectious Disease Forecasting Methods across Locations, Diseases, and Time

Accurate infectious disease forecasting can inform efforts to prevent outbreaks and mitigate adverse impacts. This study compares the performance of statistical, machine learning (ML), and deep learning (DL) approaches in forecasting infectious disease incidences across different countries and time intervals. We forecasted three diverse diseases: campylobacteriosis, typhoid, and Q-fever, using a wide variety of features (n = 46) from public datasets, e.g., landscape, climate, and socioeconomic factors. We compared autoregressive statistical models to two tree-based ML models (extreme gradient boosted trees [XGB] and random forest [RF]) and two DL models (multi-layer perceptron and encoder–decoder model). The disease models were trained on data from seven different countries at the region-level between 2009–2017. Forecasting performance of all models was assessed using mean absolute error, root mean square error, and Poisson deviance across Australia, Israel, and the United States for the months of January through August of 2018. The overall model results were compared across diseases as well as various data splits, including country, regions with highest and lowest cases, and the forecasted months out (i.e., nowcasting, short-term, and long-term forecasting). Overall, the XGB models performed the best for all diseases and, in general, tree-based ML models performed the best when looking at data splits. There were a few instances where the statistical or DL models had minutely smaller error metrics for specific subsets of typhoid, which is a disease with very low case counts. Feature importance per disease was measured by using four tree-based ML models (i.e., XGB and RF with and without region name as a feature). The most important feature groups included previous case counts, region name, population counts and density, mortality causes of neonatal to under 5 years of age, sanitation factors, and elevation. This study demonstrates the power of ML approaches to incorporate a wide range of factors to forecast various diseases, regardless of location, more accurately than traditional statistical approaches.

Competition and Integration of Health Systems in the Post-COVID-19 New Normal: Results from a Cross-Sectional Survey in the United States (Preprint)

Background

How do health systems in the United States view the concept of merger and acquisition (M&A) in a post-COVID 19 “new normal”? How do new entrants to the market and incumbents influence horizontal and vertical integration of health systems? Traditionally, it has been argued that M&A activity is designed to reduce inequities in the market, shift toward value-based care, or enhance the number and quality of health care offerings in a given market. However, the recent history of M&A activity has yielded fewer noble results. As might be expected, the smaller the geographical region in which M&A activity is pursued, the higher the likelihood that monopolistic tendencies will result.

Objective

We focused on three types of competition perceptions, external environment uncertainty–related competition, technology disruption–driven competition, and customer service–driven competition, and two integration plans, vertical integration and horizontal integration. We examined (1) how health system characteristics help discern competition perceptions and integration decisions, and (2) how environment-, technology-, and service-driven competition aspects influence vertical and horizontal integration among US health systems in the post-COVID-19 new normal.

Methods

We used data for this study collected through a consultant from a robust group of health system chief executive officers (CEOs) across the United States from February to March 2021. Among the 625 CEOs, 135 (21.6%) responded to our survey. We considered competition and integration aspects from the literature and ratified them via expert consensus. We collected secondary data from the Agency for Healthcare Research and Quality (AHRQ) Compendium of the US Health Systems, leading to a matched data set for 124 health systems. We used inferential statistical comparisons to assess differences across health systems regarding competition and integration, and we used ordered logit estimations to relate competition and integration.

Results

Health systems generally have a high level of the four types of competition perceptions, with the greatest concern being technology disruption–driven competition rather than environment uncertainty–related competition and customer service–driven competition. The first set of estimation results showed that size, teaching status, revenue, and uncompensated care burden are the main contingent factors influencing the three competition perceptions. The second set of estimation results revealed the relationships between different competition perceptions and integration plans. For vertical integration, environment uncertainty–related competition had a significant positive influence (P<.001), while the influence of technology disruption–driven competition was significant but negative (P<.001). The influence of customer service–driven competition on vertical integration was not evident. For horizontal integration, the results were similar for environment uncertainty–related competition and technology disruption–driven competition; however, the significance of technology disruption–driven competition was weak (P=.05). The influence of customer service–driven competition in the combined model was significant and negative (P<.001).

Conclusions

Competition-driven integration has subtle influences across health systems. Environment uncertainty–related competition is a significant factor, with underlying contingent factors such as revenue concerns and leadership as the leading causes of integration plans. However, technology disruption may hinder integrations. Undoubtedly, small- and low-revenue health systems facing a high level of competition are likely to merge to navigate the health care business successfully. This trend should be a focus of policy to avoid monopolistic markets.

ACGME Case Log Reminder Does Not Improve Resident Accuracy in Logging Cases

To assess competency of residents prior to graduation, the Accreditation Council for Graduate Medical Education (ACGME) maintains a case log system, where residents self-report cases they perform. This mechanism results in underreporting of resident involvement in patient care. To determine if an intraoperative case log reminder would increase the frequency of ACGME case logging amongst anesthesiology residents. An intraoperative ACGME case log reminder was implemented on March 13, 2019. The authors collected data for all 53 PGY2-4 anesthesiology residents at the authors' institution from July 14, 2018 to July 16, 2019 from the electronic medical record and ACGME system to calculate the proportion of cases logged and the "lag time" between case occurrence and logging. Data was analyzed for all residents, classes, and individuals. A total of 16,342 anesthetics were performed, and a total of 11,713 cases were logged. The reminder did not improve overall logging rates. Case-logging rates amongst PGY2 residents remained unchanged and declined for PGY3 and PGY4 residents. The lag time between case occurrence and logging increased. An automatic reminder did not improve logging frequency. This may be because residents are unable to log cases intraoperatively in many instances, or they may not feel as though they have participated enough in a case to log it. Additionally, senior residents may log cases less frequently once they have met required case minimums. An automatic case-logging system that transmits resident information directly to the ACGME may be the best way to increase logging accuracy.

Digital Orientation of Health Systems in the Post-COVID-19 "New Normal" in the United States: Cross-sectional Survey

Background

Almost all health systems have developed some form of customer-facing digital technologies and have worked to align these systems to their existing electronic health records to accommodate the surge in remote and virtual care deliveries during the COVID-19 pandemic. Others have developed analytics-driven decision-making capabilities. However, it is not clear how health systems in the United States are embracing digital technologies and there is a gap in health systems’ abilities to integrate workflows with expanding technologies to spur innovation and futuristic growth. There is a lack of reliable and reported estimates of the current and futuristic digital orientations of health systems. Periodic assessments will provide imperatives to policy formulation and align efforts to yield the transformative power of emerging digital technologies.

Objective

The aim of this study was to explore and examine differences in US health systems with respect to digital orientations in the post–COVID-19 “new normal” in 2021. Differences were assessed in four dimensions: (1) analytics-oriented digital technologies (AODT), (2) customer-oriented digital technologies (CODT), (3) growth and innovation–oriented digital technologies (GODT), and (4) futuristic and experimental digital technologies (FEDT). The former two dimensions are foundational to health systems’ digital orientation, whereas the latter two will prepare for future disruptions.

Methods

We surveyed a robust group of health system chief executive officers (CEOs) across the United States from February to March 2021. Among the 625 CEOs, 135 (22%) responded to our survey. We considered the above four broad digital technology orientations, which were ratified with expert consensus. Secondary data were collected from the Agency for Healthcare Research and Quality Hospital Compendium, leading to a matched usable dataset of 124 health systems for analysis. We examined the relationship of adopting the four digital orientations to specific hospital characteristics and earlier reported factors as barriers or facilitators to technology adoption.

Results

Health systems showed a lower level of CODT (mean 4.70) or GODT (mean 4.54) orientations compared with AODT (mean 5.03), and showed the lowest level of FEDT orientation (mean 4.31). The ordered logistic estimation results provided nuanced insights. Medium-sized (P<.001) health systems, major teaching health systems (P<.001), and systems with high-burden hospitals (P<.001) appear to be doing worse with respect to AODT orientations, raising some concerns. Health systems of medium (P<.001) and large (P=.02) sizes, major teaching health systems (P=.07), those with a high revenue (P=.05), and systems with high-burden hospitals (P<.001) have less CODT orientation. Health systems in the midwest (P=.05) and southern (P=.04) states are more likely to adopt GODT, whereas high-revenue (P=.004) and investor-ownership (P=.01) health systems are deterred from GODT. Health systems of a medium size, and those that are in the midwest (P<.001), south (P<.001), and west (P=.01) are more adept to FEDT, whereas medium (P<.001) and high-revenue (P<.001) health systems, and those with a high discharge rate (P=.04) or high burden (P=.003, P=.005) have subdued FEDT orientations.

Conclusions

Almost all health systems have some current foundational digital technological orientations to glean intelligence or service delivery to customers, with some notable exceptions. Comparatively, fewer health systems have growth or futuristic digital orientations. The transformative power of digital technologies can only be leveraged by adopting futuristic digital technologies. Thus, the disparities across these orientations suggest that a holistic, consistent, and well-articulated direction across the United States remains elusive. Accordingly, we suggest that a policy strategy and financial incentives are necessary to spur a well-visioned and articulated digital orientation for all health systems across the United States. In the absence of such a policy to collectively leverage digital transformations, differences in care across the country will continue to be a concern.

A decade post-HITECH: Critical access hospitals have electronic health records but struggle to keep up with other advanced functions

OBJECTIVE

Despite broad electronic health record (EHR) adoption in U.S. hospitals, there is concern that an "advanced use" digital divide exists between critical access hospitals (CAHs) and non-CAHs. We measured EHR adoption and advanced use over time to analyzed changes in the divide.

MATERIALS AND METHODS

We used 2008 to 2018 American Hospital Association Information Technology survey data to update national EHR adoption statistics. We stratified EHR adoption by CAH status and measured advanced use for both patient engagement (PE) and clinical data analytics (CDA) domains. We used a linear probability regression for each domain with year-CAH interactions to measure temporal changes in the relationship between CAH status and advanced use.

RESULTS

In 2018, 98.3% of hospitals had adopted EHRs; there were no differences by CAH status. A total of 58.7% and 55.6% of hospitals adopted advanced PE and CDA functions, respectively. In both domains, CAHs were less likely to be advanced users: 46.6% demonstrated advanced use for PE and 32.0% for CDA. Since 2015, the advanced use divide has persisted for PE and widened for CDA.

DISCUSSION

EHR adoption among hospitals is essentially ubiquitous; however, CAHs still lag behind in advanced use functions critical to improving care quality. This may be rooted in different advanced use needs among CAH patients and lack of access to technical expertise.

CONCLUSIONS

The advanced use divide prevents CAH patients from benefitting from a fully digitized healthcare system. To close the widening gap in CDA, policymakers should consider partnering with vendors to develop implementation guides and standards for functions like dashboards and high-risk patient identification algorithms to better support CAH adoption.

Validation of an Automated System for Identifying Complications of Serious Pediatric Emergencies

BACKGROUND

Illness complications are condition-specific adverse outcomes. Detecting complications of pediatric illness in administrative data would facilitate widespread quality measurement, however the accuracy of such detection is unclear.

METHODS

We conducted a cross-sectional study of patients visiting a large pediatric emergency department. We analyzed those <22 years old from 2012 to 2019 with 1 of 14 serious conditions: appendicitis, bacterial meningitis, diabetic ketoacidosis (DKA), empyema, encephalitis, intussusception, mastoiditis, myocarditis, orbital cellulitis, ovarian torsion, sepsis, septic arthritis, stroke, and testicular torsion. We applied a method using disposition, diagnosis codes, and procedure codes to identify complications. The automated determination was compared with the criterion standard of manual health record review by using positive predictive values (PPVs) and negative predictive values (NPVs). Interrater reliability of manual reviews used a κ.

RESULTS

We analyzed 1534 encounters. PPVs and NPVs for complications were >80% for 8 of 14 conditions: appendicitis, bacterial meningitis, intussusception, mastoiditis, myocarditis, orbital cellulitis, sepsis, and testicular torsion. Lower PPVs for complications were observed for DKA (57%), empyema (53%), encephalitis (78%), ovarian torsion (21%), and septic arthritis (64%). A lower NPV was observed in stroke (68%). The κ between reviewers was 0.88.

CONCLUSIONS

An automated method to measure complications by using administrative data can detect complications in appendicitis, bacterial meningitis, intussusception, mastoiditis, myocarditis, orbital cellulitis, sepsis, and testicular torsion. For DKA, empyema, encephalitis, ovarian torsion, septic arthritis, and stroke, the tool may be used to screen for complicated cases that may subsequently undergo manual review.

Hospital variation in responses to safety warnings about power morcellation in hysterectomy

BACKGROUND

Safety warnings about power morcellation in 2014 considerably changed hysterectomy practice, especially for laparoscopic supracervical hysterectomy that typically requires morcellation to remove the corpus uteri while preserving the cervix. Hospitals might vary in how they respond to safety warnings and altered hysterectomy procedures to avoid use of power morcellation. However, there has been little data on how hospitals differ in their practice changes.

OBJECTIVE

This study aimed to examine whether hospitals varied in their use of laparoscopic supracervical hysterectomy after safety warnings about power morcellation and compare the risk of surgical complications at hospitals that had different response trajectories in use of laparoscopic supracervical hysterectomy.

STUDY DESIGN

This was a retrospective analysis of data from the New York Statewide Planning and Research Cooperative System and the State Inpatient Databases and State Ambulatory Surgery and Services Databases from 14 other states. We identified women aged ≥18 years undergoing hysterectomy for benign indications in the hospital inpatient and outpatient settings from October 1, 2013 to September 30, 2015. We calculated a risk-adjusted utilization rate of laparoscopic supracervical hysterectomy for each hospital in each calendar quarter after accounting for patient clinical risk factors. Applying a growth mixture modeling approach, we identified distinct groups of hospitals that exhibited different trajectories of using laparoscopic supracervical hysterectomy over time. Within each trajectory group, we compared patients' risk of surgical complications in the prewarning (2013Q4-2014Q1), transition (2014Q2-2014Q4), and postwarning (2015Q1-2015Q3) period using multivariable regressions.

RESULTS

Among 212,146 women undergoing benign hysterectomy at 511 hospitals, the use of laparoscopic supracervical hysterectomy decreased from 15.1% in 2013Q4 to 6.2% in 2015Q3. The use of laparoscopic supracervical hysterectomy at these 511 hospitals exhibited 4 distinct trajectory patterns: persistent low use (mean risk-adjusted utilization rate of laparoscopic supracervical hysterectomy changed from 2.8% in 2013Q4 to 0.6% in 2015Q3), decreased medium use (17.0% to 6.9%), decreased high use (51.4% to 24.2%), and rapid abandonment (30.5% to 0.8%). In the meantime, use of open abdominal hysterectomy increased by 2.1, 4.1, 7.8, and 11.8 percentage points between the prewarning and postwarning periods in these 4 trajectory groups, respectively. Compared with the prewarning period, the risk of major complications in the postwarning period decreased among patients at "persistent low use" hospitals (adjusted odds ratio, 0.88; 95% confidence interval, 0.81-0.94). In contrast, the risk of major complications increased among patients at "rapid abandonment" hospitals (adjusted odds ratio, 1.48; 95% confidence interval, 1.11-1.98), and the risk of minor complications increased among patients at "decreased high use" hospitals (adjusted odds ratio, 1.31; 95% confidence interval, 1.01-1.72).

CONCLUSION

Hospitals varied in their use of laparoscopic supracervical hysterectomy after safety warnings about power morcellation. Complication risk increased at hospitals that shifted considerably toward open abdominal hysterectomy.

Identifying Opportunities to Strengthen the Public Health Informatics Infrastructure: Exploring Hospitals' Challenges with Data Exchange

Policy Points Even though most hospitals have the technological ability to exchange data with public health agencies, the majority continue to experience challenges. Most challenges are attributable to the general resources of public health agencies, although workforce limitations, technology issues such as a lack of data standards, and policy uncertainty around reporting requirements also remain prominent issues. Ongoing funding to support the adoption of technology and strengthen the development of the health informatics workforce, combined with revising the promotion of the interoperability scoring approach, will likely help improve the exchange of electronic data between hospitals and public health agencies.

CONTEXT

The novel coronavirus 2019 (COVID-19) pandemic has highlighted significant barriers in the exchange of essential information between hospitals and local public health agencies. Thus it remains important to clarify the specific issues that hospitals may face in reporting to public health agencies to inform focused approaches to improve the information exchange for the current pandemic as well as ongoing public health activities and population health management.

METHODS

This study uses cross-sectional data of acute-care, nonfederal hospitals from the 2017 American Hospital Association Annual Survey and Information Technology supplement. Guided by the technology-organization-environment framework, we coded the responses to a question regarding the challenges that hospitals face in submitting data to public health agencies by using content analysis according to the type of challenge (i.e., technology, organization, or environment), responsible entity (i.e., hospital, public health agency, vendor, multiple), and the specific issue described. We used multivariable logistic and multinomial regression to identify characteristics of hospitals associated with experiencing the types of challenges.

FINDINGS

Our findings show that of the 2,794 hospitals in our analysis, 1,696 (61%) reported experiencing at least one challenge in reporting health data to a public health agency. Organizational issues were the most frequently reported type of challenge, noted by 1,455 hospitals. The most common specific issue, reported by 1,117 hospitals, was the general resources of public health agencies. An advanced EHR system and participation in a health information exchange both decreased the likelihood of not reporting experiencing a challenge and increased the likelihood of reporting an organizational challenge.

CONCLUSIONS

Our findings inform policy recommendations such as improving data standards, increasing funding for public health agencies to improve their technological capabilities, offering workforce training programs, and increasing clarity of policy specifications and reporting. These approaches can improve the exchange of information between hospitals and public health agencies.

Hospital organizational strategies associated with advanced EHR adoption

OBJECTIVE

To identify organizational complementarities of adoption and use of electronic health records (EHRs) and assess what organizational strategies were associated with more advanced EHR use.

DATA SOURCES

Primary survey data of US hospitals combined with secondary data from the American Hospital Association Annual Survey and IT Supplement.

STUDY DESIGN

In this cross-sectional study, we describe hospital organizational practices around EHR adoption and use and identify how these practices coalesce into distinct strategies. We then assess the association between those organizational strategies and adoption of advanced EHR functions.

DATA COLLECTION

Primary data collection consisted of surveys sent to 797 US acute care hospitals in 2018-2019, with 451 complete respondents.

PRINCIPAL FINDINGS

There was significant variation in hospital organizational practices for EHR adoption and use. Factor analysis identified practices in three domains: leadership engagement, human capital, and systems integration. Hospitals in the top quartile of the leadership engagement factor were 14 percentage points more likely to have adopted patient engagement EHR functions (P = 0.01) while hospitals in the top quartile of human capital were 14 percentage points less likely to have adopted these functions (P = 0.02). Hospitals in the top quartile of systems integration were 12 percentage points more likely to have adopted patient engagement functions (P = 0.02) and 14 percentage points more likely to have adopted EHR data analytics functions (P = 0.02).

CONCLUSIONS

Our findings suggest that specific organizational strategies are associated with more advanced EHR adoption. Hospital leaders interested in realizing more value from their EHR investment may find it useful to know that there is an association between adoption of more advanced EHR functions, and engaging senior leadership as well as building connectivity between clinical and administrative systems.

The Effect of Innovation Capabilities of Health Care Organizations on the Quality of Health Information Technology: Model Development With Cross-sectional Data

Background

Large health organizations often struggle to build complex health information technology (HIT) solutions and are faced with ever-growing pressure to continuously innovate their information systems. Limited research has been conducted that explores the relationship between organizations’ innovative capabilities and HIT quality in the sense of achieving high-quality support for patient care processes.

Objective

The aim of this study is to explain how core constructs of organizational innovation capabilities are linked to HIT quality based on a conceptual sociotechnical model on innovation and quality of HIT, called the IQ_HIT model, to help determine how better information provision in health organizations can be achieved.

Methods

We designed a survey to assess various domains of HIT quality, innovation capabilities of health organizations, and context variables and administered it to hospital chief information officers across Austria, Germany, and Switzerland. Data from 232 hospitals were used to empirically fit the model using partial least squares structural equation modeling to reveal associations and mediating and moderating effects.

Results

The resulting empirical IQ_HIT model reveals several associations between the analyzed constructs, which can be summarized in 2 main insights. First, it illustrates the linkage between the constructs measuring HIT quality by showing that the professionalism of information management explains the degree of HIT workflow support (R²=0.56), which in turn explains the perceived HIT quality (R²=0.53). Second, the model shows that HIT quality was positively influenced by innovation capabilities related to the top management team, the information technology department, and the organization at large. The assessment of the model’s statistical quality criteria indicated valid model specifications, including sufficient convergent and discriminant validity for measuring the latent constructs that underlie the measures of HIT quality and innovation capabilities.

Conclusions

The proposed sociotechnical IQ_HIT model points to the key role of professional information management for HIT workflow support in patient care and perceived HIT quality from the viewpoint of hospital chief information officers. Furthermore, it highlights that organizational innovation capabilities, particularly with respect to the top management team, facilitate HIT quality and suggests that health organizations establish this link by applying professional information management practices. The model may serve to stimulate further scientific work in the field of HIT adoption and diffusion and to provide practical guidance to managers, policy makers, and educators on how to achieve better patient care using HIT.

Adoption of Electronic Health Records (EHRs) in China During the Past 10 Years: Consecutive Survey Data Analysis and Comparison of Sino-American Challenges and Experiences

Background

The adoption rate of electronic health records (EHRs) in hospitals has become a main index to measure digitalization in medicine in each country.

Objective

This study summarizes and shares the experiences with EHR adoption in China and in the United States.

Methods

Using the 2007-2018 annual hospital survey data from the Chinese Health Information Management Association (CHIMA) and the 2008-2017 United States American Hospital Association Information Technology Supplement survey data, we compared the trends in EHR adoption rates in China and the United States. We then used the Bass model to fit these data and to analyze the modes of diffusion of EHRs in these 2 countries. Finally, using the 2007, 2010, and 2014 CHIMA and Healthcare Information and Management Systems Services survey data, we analyzed the major challenges faced by hospitals in China and the United States in developing health information technology.

Results

From 2007 to 2018, the average adoption rates of the sampled hospitals in China increased from 18.6% to 85.3%, compared to the increase from 9.4% to 96% in US hospitals from 2008 to 2017. The annual average adoption rates in Chinese and US hospitals were 6.1% and 9.6%, respectively. However, the annual average number of hospitals adopting EHRs was 1500 in China and 534 in the US, indicating that the former might require more effort. Both countries faced similar major challenges for hospital digitalization.

Conclusions

The adoption rates of hospital EHRs in China and the United States have both increased significantly in the past 10 years. The number of hospitals that adopted EHRs in China exceeded 16,000, which was 3.3 times that of the 4814 nonfederal US hospitals. This faster adoption outcome may have been a benefit of top-level design and government-led policies, particularly the inclusion of EHR adoption as an important indicator for performance evaluation and the appointment of public hospitals.

Measuring complications of serious pediatric emergencies using ICD-10

OBJECTIVE

To create definitions for complications for 16 serious pediatric conditions using the International Classification of Diseases, 10th Revision, Clinical Modification or Procedure Coding System (ICD-10-CM/PCS), and to assess whether complication rates are similar to those measured with ICD-9-CM/PCS.

DATA SOURCES

The Healthcare Cost and Utilization Project State Emergency Department and Inpatient Databases from five states between 2014 and 2017 were used to identify cases and assess complication rates. Incidences were calculated using population counts from the 5-year American Community Survey.

DATA COLLECTION/EXTRACTION METHODS

Patients were identified by the presence of a diagnosis code for one of the 16 serious conditions. Only the first encounter for a given condition by a patient was included. Encounters resulting in transfer were excluded as the presence of complications was unknown.

STUDY DESIGN

We defined complications using data elements routinely available in administrative databases including ICD-10-CM/PCS codes. The definitions were adapted from ICD-9-CM/PCS using general equivalence mappings and refined using consensus opinion. We included 16 serious conditions: appendicitis, bacterial meningitis, compartment syndrome, new-onset diabetic ketoacidosis (DKA), ectopic pregnancy, empyema, encephalitis, intussusception, mastoiditis, myocarditis, orbital cellulitis, ovarian torsion, sepsis, septic arthritis, stroke, and testicular torsion. Using data from children under 18 years, we compared incidences and complication rates across the ICD-10-CM/PCS transition for each condition using interrupted time series.

PRINCIPAL FINDINGS

There were 61 314 ED visits for a serious condition; the most common was appendicitis (n = 37 493). Incidence rates for each condition were not significantly different across the ICD-10-CM/PCS transition for 13/16 conditions. Three differed: empyema (increased 42%), orbital cellulitis (increased 60%), and sepsis (increased 26%). Complication rates were not significantly different for each condition across the ICD-10-CM/PCS transition, except appendicitis (odds ratio 0.62, 95% CI 0.57-0.68), DKA (OR 3.79, 95% CI 1.92-7.50), and orbital cellulitis (OR 0.53, 95% CI 0.30-0.95).

CONCLUSIONS

For most conditions, incidences and complication rates were similar before and after the transition to ICD-10-CM/PCS codes, suggesting our system identifies complications of conditions in administrative data similarly using ICD-9-CM/PCS and ICD-10-CM/PCS codes. This system may be applied to screen for cases with complications and in health services research.

Healthcare in the new age of transparency

Debates around access to and ownership of an individual's digital information have taken center stage in health care. A decade ago, the idea of offering patients ready access to their clinical notes was a fringe idea. Today, information transparency in health care is a pressing legislative and regulatory issue in the United States and elsewhere. The 21st Century Cures Act of 2016 requires that clinicians and health care organizations give patients electronic access to the information in their electronic medical records. Rules to enact this legislative priority by the Office of the National Coordinator for Health Information Technology and the Centers for Medicare and Medicaid Services substantially expanded the types of information that must be easily accessible to patients and exchanged among clinicians in electronic form. A growing body of research supports the notion that sharing transparent medical records, including clinical notes with patients, can help to strengthen communication, trust in clinicians, and patient engagement. Patients receiving dialysis may receive particular benefits from this greater transparency due to their increased risk for fragmented care. In the paper, we review the decade of research focused on the effects of sharing clinical notes with patients and the implications for improved engagement and care.

Are Patients Electronically Accessing Their Medical Records? Evidence From National Hospital Data

Substantial policy effort has been directed at improving patients' ability to access and use electronic health records. Using nationwide data from 2,410 hospitals for the period 2014-16, we examined associations between patient- and hospital-level characteristics and access to and use of electronic health record data among discharged patients. On average, hospitals gave 95 percent of discharged patients access to view, download, and transmit their information, but only about 10 percent of those with access used it-levels that were stagnant during the study period. Access rates were highest among system-member, teaching, and for-profit hospitals. In contrast, access rates were lower for hospitals in the highest quartile for disproportionate share hospital status and for hospitals located in counties with high proportions of residents who were dually eligible for Medicare and Medicaid; use rates were lower for hospitals in counties with a high proportion of residents who were dually eligible, lacked computer or internet access, or were Hispanic. Overall, our findings suggest that policy efforts have failed to engage a large proportion of patients in the electronic use of their data or to bridge the "digital divide" that accompanies health care disparities. Additional-possibly targeted-policy incentives, as well as higher thresholds for meeting the requirements of the Promoting Interoperability Program, merit policy makers' consideration.

Adoption rates of electronic health records in Turkish Hospitals and the relation with hospital sizes

BACKGROUND

Nation-wide adoption of electronic health records (EHRs) in hospitals has become a Turkish policy priority in recognition of their benefits in maintaining the overall quality of clinical care. The electronic medical record maturity model (EMRAM) is a widely used survey tool developed by the Healthcare Information and Management Systems Society (HIMSS) to measure the rate of adoption of EHR functions in a hospital or a secondary care setting. Turkey completed many standardizations and infrastructural improvement initiatives in the health information technology (IT) domain during the first phase of the Health Transformation Program between 2003 and 2017. Like the United States of America (USA), the Turkish Ministry of Health (MoH) applied a bottom-up approach to adopting EHRs in state hospitals. This study aims to measure adoption rates and levels of EHR use in state hospitals in Turkey and investigate any relationship between adoption and use and hospital size.

METHODS

EMRAM surveys were completed by 600 (68.9%) state hospitals in Turkey between 2014 and 2017. The availability and prevalence of medical information systems and EHR functions and their use were measured. The association between hospital size and the availability/prevalence of EHR functions was also calculated.

RESULTS

We found that 63.1% of all hospitals in Turkey have at least basic EHR functions, and 36% have comprehensive EHR functions, which compares favourably to the results of Korean hospitals in 2017, but unfavorably to the results of US hospitals in 2015 and 2017. Our findings suggest that smaller hospitals are better at adopting certain EHR functions than larger hospitals.

CONCLUSION

Measuring the overall adoption rates of EHR functions is an emerging approach and a beneficial tool for the strategic management of countries. This study is the first one covering all state hospitals in a country using EMRAM. The bottom-up approach to adopting EHR in state hospitals that was successful in the USA has also been found to be successful in Turkey. The results are used by the Turkish MoH to disseminate the nation-wide benefits of EHR functions.

Increasing emergency department utilization of brain imaging in patients with primary brain cancer

PURPOSE

To study changing emergency department (ED) brain imaging utilization in patients with primary brain cancers.

METHODS

Using 2006-2014 data from the Nationwide Emergency Department Sample (NEDS), we identified all patients with primary brain cancers visiting EDs and evaluated trends of head CT and brain MRI utilization. Multivariable logistic regression analyses were used to determine patient- and hospital-specific factors associated with brain imaging utilization.

RESULTS

A weighted cohort of 40,862 ED visits were included (mean age 55; 54% male), increasing from 3932 in 2006 to 5625 in 2014 (+ 43%). A total of 14.4% underwent brain imaging, with 13.2% undergoing CT, 2.3% undergoing MRI, and 1.1% undergoing both modalities. Between 2006 and 2014, there was a 104% increase in the rate of ED brain imaging (from 9.7% in 2006 to 19.8% in 2014). Factors associated with higher utilization of ED brain imaging in adults were non-teaching hospital status and Midwest and Northeast hospital regions (compared with the West). In pediatric patients, higher utilization was associated with older age, higher median household income of patient's ZIP code, and visits in rural, non-teaching hospitals located in the Midwest, South, and Northeast (compared with the West).

CONCLUSION

In US patients with primary brain cancer, the number of ED visits increased annually, and the utilization of ED head imaging examinations doubled in a recent 9-year period. A variety of sociodemographic characteristics are associated with a higher likelihood of imaging in both adult and pediatric patients.

Hospital adoption of electronic health record functions to support age-friendly care: results from a national survey

OBJECTIVE

To measure US hospitals' adoption of electronic health record (EHR) functions that support care for older adults, focusing on structured documentation of the 4Ms (What Matters, Medication, Mentation, and Mobility) and electronic health information exchange/communication with patients, caregivers, and long-term care providers.

MATERIALS AND METHODS

In an online survey of a national, random sample of 797 US acute-care hospitals in 2018-2019, 479 (60.1%) responded. We calculated nationally representative measures of the percentages of hospitals with EHRs that include structured documentation of the 4Ms and exchange/communications functions.

RESULTS

Structured EHR documentation of the 4Ms was fully implemented in at least 1 unit in 64.0% of hospitals and across all units in 41.5% of hospitals. Of the 4Ms, structured documentation was the highest for medications (91.3% in at least 1 unit) and the lowest for mentation (70.3% in at least 1 unit). All exchange/communication functions had been implemented in at least 1 unit in 16.2% of facilities and across all units in 7.6% of hospitals. Less than half of the hospitals had an EHR portal for long-term care facilities to access hospital information (45.4% in at least 1 unit), sent information electronically to long-term care facilities (44.6%), and had training for adults/caregivers on the patient portal (32.1%).

DISCUSSION

Despite significant national investment in EHRs, hospital EHRs do not yet include key documentation, exchange, and communication functions needed to support evidence-based care for the older adults who comprise the majority of the inpatient population. Additional policy efforts are likely needed to promote the expansion of EHR capabilities into these high-value domains.

CONCLUSIONS

US acute-care hospital EHRs are lacking key functions that support care for older adults.

Information technology and Baumol's cost disease in healthcare services: a research agenda

Purpose

This paper advances a research agenda for service researchers at the intersection of healthcare and information technologies to improve access to quality healthcare at affordable prices. The article reviews key trends to provide an agenda for research focusing on strategies, governance and management of key service processes.

Design/methodology/approach

This paper synthesizes literature in information systems, service management, marketing and healthcare operations to suggest a research agenda. The authors draw on frameworks such as the interpretive model of technology, technology acceptance model, assemblage theories and Baumol's cost disease to develop their arguments.

Findings

The paper situates strategy-related service management questions that service providers and consumers face in the context of emerging healthcare and technology trends. It also derives implications for governance choices and questions related to that.

Research limitations/implications

The paper discusses service management challenges and concludes with an agenda for future research that touches on governance and service management issues.

Practical implications

This paper provides implications for healthcare service providers and policymakers to understand new trends in healthcare delivery, technologies and facilities management to meet evolving customer needs.

Social implications

This paper provides implications for managing healthcare services that touch on many social and societal concerns.

Originality/value

This conceptual paper provides background and review of the work at the intersections of information systems, marketing and healthcare operations to draw implications for future research.

Hospital Characteristics Associated with Certified EHR Adoption among US Psychiatric Hospitals

Objective

The aim of this study was to explore the relationship between hospital characteristics and certified electronic health record (EHR) adoption in psychiatric hospitals in the US.

Methods

Data were drawn from the American Hospital Association Annual Survey Database and the Centers for Medicare and Medicaid Services Hospital Compare data sets in 2016. Binary logistic regression analysis and χ² tests were performed to examine the relationship between certified EHR adoption and hospital characteristics.

Results

Of 1,059 psychiatric hospitals in the US, 502 (47.4%) have adopted certified EHR technology. Large hospitals (OR 2.29, 95% CI 1.52–3.44; p<0.001), not-for-profit hospitals (OR 1.74, 95% CI 1.22–2.49; p=0.008), and hospitals participating in a network (OR 1.78, 95% CI 1.34–2.37; p<0.001) were more likely to adopt certified EHRs. Hospitals in the northeast were less likely to implement certified EHRs compared to other regions. However, there was no significant association found between EHR utilization and system affiliation, urban location, teaching status, or participation of health-maintenance organizations and preferred provider organizations.

Conclusion

The study results suggested variations in EHR adoption according to hospital location, size, ownership, and network participation. This study fills a gap in previous work on certified EHR adoption that focused exclusively on general hospitals, but overlooked psychiatric hospitals. Future policies designed to influence the implementation of certified EHRs should take into consideration how hospital size, ownership, and network-affiliation status affect certified EHR adoption among psychiatric hospitals.

Complications of Serious Pediatric Conditions in the Emergency Department: Definitions, Prevalence, and Resource Utilization

OBJECTIVES

To define and measure complications across a broad set of acute pediatric conditions in emergency departments using administrative data, and to assess the validity of these definitions by comparing resource utilization between children with and without complications.

STUDY DESIGN

Using local consensus, we predefined complications for 16 acute conditions including appendicitis, diabetic ketoacidosis, ovarian torsion, stroke, testicular torsion, and 11 others. We studied patients under age 18 years using 3 data years from the Healthcare Cost and Utilization Project Statewide Databases of Maryland and New York. We measured complications by condition. Resource utilization was compared between patients with and without complications, including hospital length of stay, and charges.

RESULTS

We analyzed 27 087 emergency department visits for a serious condition. The most common was appendicitis (n = 16 794), with 24.3% of cases complicated by 1 or more of perforation (24.1%), abscess drainage (2.8%), bowel resection (0.3%), or sepsis (0.9%). Sepsis had the highest mortality (5.0%). Children with complications had higher resource utilization: condition-specific length of stay was longer when complications were present, except ovarian and testicular torsion. Hospital charges were higher among children with complications (P < .05) for 15 of 16 conditions, with a difference in medians from $3108 (testicular torsion) to $13 7694 (stroke).

CONCLUSIONS

Clinically meaningful complications were measurable and were associated with increased resource utilization. Complication rates determined using administrative data may be used to compare outcomes and improve healthcare delivery for children.

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.

End-tidal CO2 Monitoring is Available in Most Community Hospitals in a Rural State: A Health System Survey

Introduction

Procedural sedation and analgesia (PSA) provides safe and effective relief for pain, anxiety and discomfort during procedures performed in the emergency department (ED). Our objective was to identify hospital-level factors associated with routine PSA capnography use in the ED.

Methods

This study was a cross-sectional telephone survey of ED nurse managers and designees in a Midwestern state. Respondents identified information about hospital infrastructure, physician staffing, family practice (FP) physicians only, board-certified emergency physicians (EPs) only (or both), and critical intervention capabilities. Additional characteristics including ED volume and hospital designation (i.e., rural-urban classification) were obtained from the Centers for Medicare and Medicaid Services and the state hospital association database, respectively. The primary outcome was reported use of PSA capnography. We conducted univariate analyses (relative risks, 95% confidence interval [CI]) to identify associations between hospital-level characteristics and PSA capnography use.

Results

We had an overall response rate of 98% (n=118 participating hospitals). The majority of EDs were in rural settings (78%), with a median of 5,057 visits per year (interquartile range 2,823-14,322). Nearly half of the EDs were staffed by FP physicians only, while 16% had board-certified EPs only. Nearly all hospitals (n=114, 97%), reported using continuous capnography for ventilated patients, and 74% reported use of capnography during PSA. Urban hospitals were more likely to use PSA capnography than critical access hospitals (relative risk 1.45; 95% CI, 1.22-1.73), and PSA capnography use increased with each ED volume quartile. Facilities with only EPs were 1.46 (95% CI, 1.15-1.87) times more likely to use PSA capnography than facilities with FP physicians only.

Conclusion

Continuous capnography was available in nearly all EDs, independent of size, location or patient volume. The implementation of capnography during PSA was less penetrant. Smaller, rural departments were less likely than their larger, urban counterparts to implement these national guidelines. Rurality and hospital size may be potential institutional barriers to capnography implementation.

Practices Caring For The Underserved Are Less Likely To Adopt Medicare's Annual Wellness Visit

In 2011 Medicare introduced the annual wellness visit to help address the health risks of aging adults. The visit also offers primary care practices an opportunity to generate revenue, and may allow practices in accountable care organizations to attract healthier patients while stabilizing patient-practitioner assignments. However, uptake of the visit has been uneven. Using national Medicare data for the period 2008-15, we assessed practices' ability and motivation to adopt the visit. In 2015, 51.2 percent of practices provided no annual wellness visits (nonadopters), while 23.1 percent provided visits to at least a quarter of their eligible beneficiaries (adopters). Adopters replaced problem-based visits with annual wellness visits and saw increases in primary care revenue. Compared to nonadopters, adopters had more stable patient assignment and a slightly healthier patient mix. At the same time, visit rates were lower among practices caring for underserved populations (for example, racial minorities and those dually enrolled in Medicaid), potentially worsening disparities. Policy makers should consider ways to encourage uptake of the visit or other mechanisms to promote preventive care in underserved populations and the practices that serve them.

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.

Hospitals' adoption of intra-system information exchange is negatively associated with inter-system information exchange

Introduction

U.S. policy on interoperable HIT has focused on increasing inter-system (ie, between different organizations) health information exchange. However, interoperable HIT also supports the movement of information within the same organization (ie, intra-system exchange).

Methods

We examined the relationship between hospitals' intra- and inter-system information exchange capabilities among health system hospitals included in the 2010-2014 American Hospital Association's Annual Health Information Technology Survey. We described the factors associated with hospitals that adopted more intra-system than inter-system exchange capability, and explored the extent of new capability adoption among hospitals that reported neither intra- or inter-system information capabilities at baseline.

Results

The prevalence of exchange increased over time, but the adoption of inter-system information exchange was slower; when hospitals adopt information exchange, adoption of intra-system exchange was more common. On average during our study period, hospitals could share 4.6 types of information by intra-system exchange, but only 2.7 types of information by inter-system exchange. Controlling for other factors, hospitals exchanged more types of information in an intra-system manner than inter-system when the number of different inpatient EHR vendors in use in health system is larger.

Conclusion

Consistent with the U.S. goals for more widely accessible patient information, hospitals' ability to share information has increased over time. However, hospitals are prioritizing within-organizational information exchange over exchange between different organizations. If increasing inter-system exchanges is a desired goal, current market incentives and government policies may be insufficient to overcome hospitals' motivations for pursuing an intra-system-information-exchange-first strategy.

Forecasting the Maturation of Electronic Health Record Functions Among US Hospitals: Retrospective Analysis and Predictive Model

BACKGROUND

The Meaningful Use (MU) program has promoted electronic health record adoption among US hospitals. Studies have shown that electronic health record adoption has been slower than desired in certain types of hospitals; but generally, the overall adoption rate has increased among hospitals. However, these studies have neither evaluated the adoption of advanced functionalities of electronic health records (beyond MU) nor forecasted electronic health record maturation over an extended period in a holistic fashion. Additional research is needed to prospectively assess US hospitals' electronic health record technology adoption and advancement patterns.

OBJECTIVE

This study forecasts the maturation of electronic health record functionality adoption among US hospitals through 2035.

METHODS

The Healthcare Information and Management Systems Society (HIMSS) Analytics' Electronic Medical Record Adoption Model (EMRAM) dataset was used to track historic uptakes of various electronic health record functionalities considered critical to improving health care quality and efficiency in hospitals. The Bass model was used to predict the technological diffusion rates for repeated electronic health record adoptions where upgrades undergo rapid technological improvements. The forecast used EMRAM data from 2006 to 2014 to estimate adoption levels to the year 2035.

RESULTS

In 2014, over 5400 hospitals completed HIMSS' annual EMRAM survey (86%+ of total US hospitals). In 2006, the majority of the US hospitals were in EMRAM Stages 0, 1, and 2. By 2014, most hospitals had achieved Stages 3, 4, and 5. The overall technology diffusion model (ie, the Bass model) reached an adjusted R-squared of .91. The final forecast depicted differing trends for each of the EMRAM stages. In 2006, the first year of observation, peaks of Stages 0 and 1 were shown as electronic health record adoption predates HIMSS' EMRAM. By 2007, Stage 2 reached its peak. Stage 3 reached its full height by 2011, while Stage 4 peaked by 2014. The first three stages created a graph that exhibits the expected "S-curve" for technology diffusion, with inflection point being the peak diffusion rate. This forecast indicates that Stage 5 should peak by 2019 and Stage 6 by 2026. Although this forecast extends to the year 2035, no peak was readily observed for Stage 7. Overall, most hospitals will achieve Stages 5, 6, or 7 of EMRAM by 2020; however, a considerable number of hospitals will not achieve Stage 7 by 2035.

CONCLUSIONS

We forecasted the adoption of electronic health record capabilities from a paper-based environment (Stage 0) to an environment where only electronic information is used to document and direct care delivery (Stage 7). According to our forecasts, the majority of hospitals will not reach Stage 7 until 2035, absent major policy changes or leaps in technological capabilities. These results indicate that US hospitals are decades away from fully implementing sophisticated decision support applications and interoperability functionalities in electronic health records as defined by EMRAM's Stage 7.

Regional differences in electronic medical record adoption in Japan: A nationwide longitudinal ecological study

PURPOSE

Regional differences in the adoption of electronic medical records (EMR) are a major problem, yet little is known about these differences internationally. We analyzed regional differences in EMR adoption in Japan and evaluated factors associated with these differences.

METHODS

This nationwide ecological study used secondary data from all secondary medical service areas (SMSAs) in fiscal years 2008 (n = 348) and 2014 (n = 344). For each SMSA we collected the following information from a Japanese national database: the number of medical facilities that had adopted EMR, the population density, the average per capita income, the number of working doctors per 1000 people, and the proportion of interns to all working doctors. To adjust for medical facility characteristics in each SMSA, such as number of beds, public versus private hospital, and hospital type (psychiatric or other), we estimated the standardized adoption ratio (SAR) for EMR adoption, modeled on the standardized mortality ratio. We calculated Moran's I for the SAR and investigated whether the SAR had spatial autocorrelations. We evaluated the association between the SAR and regional factors with a conditional autoregressive model. We compared these results in 2008 and 2014, for both hospitals and clinics.

RESULTS

While the EMR adoption rate in SMSAs increased, Moran's I of the SAR in hospitals was close to 1 in both 2008 and 2014, and Moran's I of the SAR in clinics increased from 2008 to 2014. For hospitals, there was a significant association between the proportion of interns to all working doctors and the SAR only in 2008. For clinics, average income in the SMSA was positively associated with the SAR, whereas the number of working doctors was negatively associated with the SAR in both 2008 and 2014. Population density was positively associated with the SAR only in 2014.

CONCLUSION

From 2008 to 2014, EMR adoption in Japan generally increased, but geographical differences did not improve. Regional factors associated with the SAR were different for hospitals than for clinics. Therefore, the government should take different approaches for clinics and hospitals to improve regional differences in EMR adoption, especially in providing financial and technical support.

ACOs Serving High Proportions Of Racial And Ethnic Minorities Lag In Quality Performance

Accountable care organizations (ACOs) are intended, in part, to improve health care quality. However, little is known about how ACOs may affect disparities or how providers serving disadvantaged patients perform under Medicare ACO contracts. We analyzed racial and ethnic disparities in health care outcomes among ACOs to investigate the association between the share of an ACO's patients who are members of racial or ethnic minority groups and the ACO's performance on quality measures. Using data from Medicare and a national survey of ACOs, we found that having a higher proportion of minority patients was associated with worse scores on twenty-five of thirty-three Medicare quality performance measures, two disease composite measures, and an overall quality composite measure. However, ACOs serving a high share of minority patients were similar to other ACOs in most observable characteristics and capabilities, including provider composition, services, and clinical capabilities. Our findings suggest that ACOs with a high share of minority patients may struggle with quality performance under ACO contracts, especially during their early years of participation-maintaining or potentially exacerbating current inequities. Policy makers must consider how to refine ACO programs to encourage the participation of providers that serve minority patients and to reward performance appropriately.

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.

Electronic health record adoption in US hospitals: the emergence of a digital "advanced use" divide

OBJECTIVE

While most hospitals have adopted electronic health records (EHRs), we know little about whether hospitals use EHRs in advanced ways that are critical to improving outcomes, and whether hospitals with fewer resources - small, rural, safety-net - are keeping up.

MATERIALS AND METHODS

Using 2008-2015 American Hospital Association Information Technology Supplement survey data, we measured "basic" and "comprehensive" EHR adoption among hospitals to provide the latest national numbers. We then used new supplement questions to assess advanced use of EHRs and EHR data for performance measurement and patient engagement functions. To assess a digital "advanced use" divide, we ran logistic regression models to identify hospital characteristics associated with high adoption in each advanced use domain.

RESULTS

We found that 80.5% of hospitals adopted at least a basic EHR system, a 5.3 percentage point increase from 2014. Only 37.5% of hospitals adopted at least 8 (of 10) EHR data for performance measurement functions, and 41.7% of hospitals adopted at least 8 (of 10) patient engagement functions. Critical access hospitals were less likely to have adopted at least 8 performance measurement functions (odds ratio [OR] = 0.58; P < .001) and at least 8 patient engagement functions (OR = 0.68; P = 0.02).

DISCUSSION

While the Health Information Technology for Economic and Clinical Health Act resulted in widespread hospital EHR adoption, use of advanced EHR functions lags and a digital divide appears to be emerging, with critical-access hospitals in particular lagging behind. This is concerning, because EHR-enabled performance measurement and patient engagement are key contributors to improving hospital performance.

CONCLUSION

Hospital EHR adoption is widespread and many hospitals are using EHRs to support performance measurement and patient engagement. However, this is not happening across all hospitals.

Barriers to electronic medical record implementation: a comparison between ophthalmology and other surgical specialties in Canada

OBJECTIVE

In the present study, the barriers limiting widespread adoption of electronic medical records (EMRs) among Canadian ophthalmologists were evaluated in comparison with physicians from other surgical specialities. The published literature regarding EMR use in ophthalmic practice was also reviewed.

DESIGN

Population-based, cross-sectional study.

PARTICIPANTS

A total of 1199 Canadian surgeons participating in the 2014 National Physician Survey (NPS).

METHODS

Data regarding speciality surgeons' adoption of EMR programs were extracted from the 2014 NPS, a nationwide survey of practicing physicians in Canada. The data were entered into a spreadsheet, and basic statistical analyses, including χ² analyses, were performed to compare the responses of ophthalmologists to other surgeons.

RESULTS

Compared with other surgeons, ophthalmologists surveyed were significantly more likely to identify the following barriers to EMR adoption: "no suitable product for my practice" (p = 0.01), "too costly" (p = 0.0006), "too time consuming" (p < 0.0001), and "planning to retire soon" (p = 0.001). No statistically detectable differences were found between ophthalmologists and other surgeons for the following barriers: privacy concerns, reliability concerns, and lack of training.

CONCLUSIONS

The barriers that limit increased EMR adoption among Canadian ophthalmologists are different from those of other surgeons. This may be attributed to unique features of the field, including heavy reliance on hand-drawn figures in documentation, high patient volume, and the high costs associated with independent practice. Given the well-established benefits of EMR technology, consideration should be given to implementing strategies to mitigate these barriers. Additional research may help determine which specific improvements can be made to increase the use of EMR systems by ophthalmologists.

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.

Quality Improvement Strategies in Accountable Care Organization Hospitals

BACKGROUND

Accountable Care Organizations (ACOs) are hoped to lower costs and improve health care quality. However, hospitals remain unsure how to bring about the quality improvement (QI) required to increase financial viability. This success may hinge on the use of sophisticated measurement tracking and the use of multiple QI tools. This study aims to assess the current approaches that ACO hospitals are using to improve quality and to compare their strategies with non-ACO hospitals.

METHODS

The 2013 American Hospital Association's Annual Survey and the Survey of Care Systems and Payment data were merged to identify ACO and non-ACO hospitals. ACO and non-ACO hospital rates of reported use of multiple QI tools and the ability to detect and track readmissions across organizational boundaries were compared.

RESULTS

ACO hospitals were significantly less likely to use only 1 QI tool (43.5% vs 65.2%; P < .001) and more likely to use 2 (36.4% vs 28.1%; P < .05), 3 (12.1% vs 6.5%; P < .001), or 4 (8.0% vs 0.2%; P < .001) QI tools. ACO hospitals were significantly more likely to have the capability to detect readmissions (34.1% vs 22.8%; P < .001) and track readmissions (90.5% vs 85.7%; P < .05).

CONCLUSIONS

Results suggest that ACO hospitals are incorporating more sophisticated measurements and combinations of QI tools than non-ACO hospitals. It remains to be seen whether this leads to accelerated changes across the quality domains in ACO hospitals.

A Novel Survey to Examine the Relationship between Health IT Adoption and Nurse-Physician Communication

BACKGROUND

As EHR adoption in US hospitals becomes ubiquitous, a wide range of IT options are theoretically available to facilitate physician-nurse communication, but we know little about the adoption rate of specific technologies or the impact of their use.

OBJECTIVES

To measure adoption of hardware, software, and telephony relevant to nurse-physician communication in US hospitals. To assess the relationship between non-IT communication practices and hardware, software, and telephony adoption. To identify hospital characteristics associated with greater adoption of hardware, software, telephony, and non-IT communication practices.

METHODS

We conducted a survey of 105 hospitals in the National Nursing Practice Network. The survey captured adoption of hardware, software, and telephony to support nurse-physician communication, along with non-IT communication practices. We calculated descriptive statistics and then created four indices, one for each category, by scoring degree of adoption of technologies or practices within each category. Next, we examined correlations between the three technology indices and the non-IT communication practices index. We used multivariate OLS regression to assess whether certain types of hospitals had higher index scores.

RESULTS

The majority of hospitals surveyed have a range of hardware, software, and telephony tools available to support nurse-physician communication; we found substantial heterogeneity across hospitals in non-IT communication practices. More intensive non-IT communication was associated with greater adoption of software (r=0.31, p=0.01), but was not correlated with hardware or telephony. Medium-sized hospitals had lower adoption of software (r =-1.14,p=0.04) in comparison to small hospitals, while federally-owned hospitals had lower software (r=-2.57, p=0.02) and hardware adoption (r=-1.63, p=0.01).

CONCLUSIONS

The positive relationship between non-IT communication and level of software adoption suggests that there is a complementary, rather than substitutive, relationship. Our results suggest that some technologies with the potential to further enhance communication, such as CPOE and secure messaging, are not being utilized to their full potential in many hospitals.

Clinical Data Systems to Support Public Health Practice: A National Survey of Software and Storage Systems Among Local Health Departments

CONTEXT

Numerous software and data storage systems are employed by local health departments (LHDs) to manage clinical and nonclinical data needs. Leveraging electronic systems may yield improvements in public health practice. However, information is lacking regarding current usage patterns among LHDs.

OBJECTIVE

To analyze clinical and nonclinical data storage and software types by LHDs.

DESIGN

Data came from the 2015 Informatics Capacity and Needs Assessment Survey, conducted by Georgia Southern University in collaboration with the National Association of County and City Health Officials.

PARTICIPANTS

A total of 324 LHDs from all 50 states completed the survey (response rate: 50%).

MAIN OUTCOME MEASURES

Outcome measures included LHD's primary clinical service data system, nonclinical data system(s) used, and plans to adopt electronic clinical data system (if not already in use). Predictors of interest included jurisdiction size and governance type, and other informatics capacities within the LHD. Bivariate analyses were performed using χ and t tests.

RESULTS

Up to 38.4% of LHDs reported using an electronic health record (EHR). Usage was common especially among LHDs that provide primary care and/or dental services. LHDs serving smaller populations and those with state-level governance were both less likely to use an EHR. Paper records were a common data storage approach for both clinical data (28.9%) and nonclinical data (59.4%). Among LHDs without an EHR, 84.7% reported implementation plans.

CONCLUSIONS

Our findings suggest that LHDs are increasingly using EHRs as a clinical data storage solution and that more LHDs are likely to adopt EHRs in the foreseeable future. Yet use of paper records remains common. Correlates of electronic system usage emerged across a range of factors. Program- or system-specific needs may be barriers or facilitators to EHR adoption. Policy makers can tailor resources to address barriers specific to LHD size, governance, service portfolio, existing informatics capabilities, and other pertinent characteristics.

Local public health department adoption and use of electronic health records

CONTEXT

Electronic health records (EHRs) may help local health departments (LHDs) to improve services and thereby promote and protect population health. Yet, little is known about nationwide trends and correlates of EHR use by LHDs.

OBJECTIVE

We examine relative contributions of LHD finances, leadership, and governance to EHR adoption and use from 2010 to 2013. The impact of LHD service provision and meaningful use factors on EHR use is explored in depth.

DESIGN

Combining data from the National Association of County & City Health Officials Profile survey and the Area Health Resource File, logistic regression models were used to examine EHR use in 2013. Multinomial logistic models examined EHR adoption, use, or discontinuation from 2010 to 2013.

PARTICIPANTS

EHR usage data were available for 514 and 488 LHDs in 2010 and 2013, respectively. A total of 117 LHDs had data for both 2010 and 2013.

MAIN OUTCOME MEASURES

Outcomes included dichotomized measures of LHD self-reported use of EHRs in 2010 and 2013. For LHDs with 2 years of data, a 4-category variable measuring self-reported EHR use, nonuse, adoption, or discontinuation was analyzed.

RESULTS

Overall LHD EHR use did not increase significantly between 2010 (19.3%) and 2013 (22.0%). While 15% of LHDs reported adopting EHRs from 2010 to 2013, another 8.5% reported discontinuing use of EHRs during this time. Likelihood of EHR use was strongly associated with LHD clinical service characteristics, per capita expenditures, and state governance structure.

CONCLUSIONS

EHRs do not appear to be rapidly diffusing across LHDs, and retention of current systems may be a concern. Given trends away from clinical service provision and other pressing demands for LHD resources, the benefits of EHR adoption are unclear.

Barriers to Electronic Health Record Adoption: a Systematic Literature Review

Federal efforts and local initiatives to increase adoption and use of electronic health records (EHRs) continue, particularly since the enactment of the Health Information Technology for Economic and Clinical Health (HITECH) Act. Roughly one in four hospitals not adopted even a basic EHR system. A review of the barriers may help in understanding the factors deterring certain healthcare organizations from implementation. We wanted to assemble an updated and comprehensive list of adoption barriers of EHR systems in the United States. Authors searched CINAHL, MEDLINE, and Google Scholar, and accepted only articles relevant to our primary objective. Reviewers independently assessed the works highlighted by our search and selected several for review. Through multiple consensus meetings, authors tapered articles to a final selection most germane to the topic (n = 27). Each article was thoroughly examined by multiple authors in order to achieve greater validity. Authors identified 39 barriers to EHR adoption within the literature selected for the review. These barriers appeared 125 times in the literature; the most frequently mentioned barriers were regarding cost, technical concerns, technical support, and resistance to change. Despite federal and local incentives, the initial cost of adopting an EHR is a common existing barrier. The other most commonly mentioned barriers include technical support, technical concerns, and maintenance/ongoing costs. Policy makers should consider incentives that continue to reduce implementation cost, possibly aimed more directly at organizations that are known to have lower adoption rates, such as small hospitals in rural areas.

Hospital Characteristics are Associated With Readiness to Attain Stage 2 Meaningful Use of Electronic Health Records

PURPOSE

To examine the difference between rural and urban hospitals as to their overall level of readiness for stage 2 meaningful use of electronic health records (EHRs) and to identify other key factors that affect their readiness for stage 2 meaningful use.

METHODS

A conceptual framework based on the theory of organizational readiness for change was used in a cross-sectional multivariate analysis using 2,083 samples drawn from the HIMSS Analytics survey conducted with US hospitals in 2013.

FINDINGS

Rural hospitals were less likely to be ready for stage 2 meaningful use compared to urban hospitals in the United States (OR = 0.49) in our final model. Hospitals' past experience with an information exchange initiative, staff size in the information system department, and the Chief Information Officer (CIO)'s responsibility for health information management were identified as the most critical organizational contextual factors that were associated with hospitals' readiness for stage 2. Rural hospitals lag behind urban hospitals in EHR adoption, which will hinder the interoperability of EHRs among providers across the nation. The identification of critical factors that relate to the adoption of EHR systems provides insights into possible organizational change efforts that can help hospitals to succeed in attaining meaningful use requirements.

CONCLUSION

Rural hospitals have increasingly limited resources, which have resulted in a struggle for these facilities to attain meaningful use. Given increasing closures among rural hospitals, it is all the more important that EHR development focus on advancing rural hospital quality of care and linkages with patients and other organizations supporting the care of their patients.

Progress and challenges: implementation and use of health information technology among critical-access hospitals

Despite major national investments to support the adoption of health information technology (IT), concerns persist that barriers are inhibiting that adoption and the use of advanced health IT capabilities in rural areas in particular. Using a survey of Medicare-certified critical-access hospitals, we examined electronic health record (EHR) adoption, key EHR functionalities, telehealth, and teleradiology, as well as challenges to EHR adoption. In 2013, 89 percent of critical-access hospitals had implemented a full or partial EHR. Adoption of key EHR capabilities varied. Critical-access hospitals that had certain types of technical assistance and resources available to support health IT were more likely to have adopted health IT capabilities and less likely to report significant challenges to EHR implementation and use, compared to other hospitals in the survey. It is important to ensure that the necessary resources and support are available to critical-access hospitals, especially those that operate independently, to assist them in adopting health IT and becoming able to electronically link to the broader health care system.

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.