Evidence of an emerging digital divide among hospitals that care for the poor

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.

The impact of county-level factors on meaningful use of electronic health records (EHRs) among primary care providers

This study examines the impact of county-level factors on "meaningful use" (MU) of electronic health records (EHRs) for 8415 primary care providers (PCPs) that enrolled in the Florida Medicaid EHR Incentive Program through adopting, improving, or upgrading (AIU) a certified EHR technology. PCPs received incentive payments at enrollment and if they used their EHRs in meaningful ways; ways that benefit patients and providers alike they received additional payments. We conducted a retrospective cohort study of these providers over the 2011-2018 period while linking their records to other state data. We used the core constructs of the resource dependence theory (RDT), a well-established organization theory in business management, to operationalize the county-level variables. These variables were rurality, poverty, educational attainment, managed care penetration, changes in population, and number of PCPs per capita. The unit of analysis was provider-years. For practical and computational purposes, all the county variables were dichotomized. We used analysis of variance (ANOVA) to test for differences in MU attestation rates across each county variable. Odds ratios and corresponding 95% confidence intervals were derived from pooled logistic regressions using generalized estimated equations (GEE) with the binomial family and logit link functions. Clustered standard errors were used. Approximately 42% of these providers attested to MU after receiving first-year incentives. Rurality and poverty were significantly associated with MU. To some degree, managed care penetration, change in population size, and number of PCPs per capita were also associated with MU. Policy makers and healthcare managers should not ignore the contribution of county-level factors in the diffusion of EHRs among physician practices. These county-level findings provide important insights about EHR diffusion in places where traditionally underserved populations live. This county-perspective is particularly important because of the potential for health IT to enable public health monitoring and population health management that might benefit individuals beyond the patients treated by the Medicaid providers.

Engaging and informing patients: Health information technology use in community health centers

OBJECTIVE

This paper aims to address the relationship between the community health center (CHC) patient mix and the level of patient engagement health information technology (HIT) comprehensiveness.

PARTICIPANTS

The study was conducted on sample CHCs (n = 3,592 CHC-years) active between 2016 and 2018.

METHODS

Patient engagement HIT comprehensiveness was measured based on a framework of patient engagement through HIT that includes a two-part dichotomy of patient engagement and patient informing. Univariate analysis was used to describe CHC characteristics and multivariable ordered logistic regression analysis was used to test hypothesized relationships.

RESULTS

The study identified four levels of patient engagement HIT comprehensiveness: 1) to neither engage nor inform, 2) to primarily inform, 3) to primarily engage, and 4) to engage and inform. It was found that CHCs serving disproportionate shares of patients with disadvantageous socioeconomic characteristics are less likely to incorporate more comprehensive patient engagement HIT.

CONCLUSION

The results highlight the different levels of patient engagement HIT use among CHCs and a negative association between CHC's higher proportion of patients with a disadvantageous sociodemographic background and patient engagement HIT comprehensiveness.

Decreasing Racial Disparities in Preventable Emergency Department Visits Through Hospital Health Information Technology Patient Engagement Functionalities

Introduction: Hospitals are a major source of care for underserved populations in the United States. However, little is known about how hospital-based health information technology (HIT) can improve the efficiency of care and reduce disparities. Objective: We examined the variation of preventable emergency department (ED) visits and associated racial disparities by hospital adoption of HIT patient engagement (HIT-PE) functionalities. Methods: This was an observational study of 6,543,514 non-Hispanic Black (Black) and non-Hispanic White (White) adult patients using 2019 datasets of seven states (Arizona, Florida, Kentucky, Maryland, North Carolina, Vermont, Wisconsin) from the State Emergency Department Databases, American Hospital Association Annual Survey & Information Technology Supplement, and Area Health Resources File. Results: High HIT-PE adoption was associated with lower rates of preventable ED (odds ratio [OR] = 0.992, p < 0.001). Specific HIT-PE functions such as importing medical records from other organizations into the patient portal (OR = 0.977, p < 0.001), electronically sending medical information to a third party (OR = 0.970, p < 0.001), and scheduling appointments online (OR = 0.987, p < 0.001) were also associated with reduced preventable ED rates. Black patients had higher rates of preventable ED compared with Whites (OR = 1.386, p < 0.001); however, the interaction of Black patients and high HIT-PE adoption was associated with lower rates of preventable ED (OR = 0.977, p < 0.001). Our results also showed that higher HIT-PE adoption was associated with a reduction in preventable ED visits among Black patients with comorbidities and Black patients living in low-income areas. Conclusions: The results of our study suggest that there is potential to reduce preventable ED rates and racial disparities through hospital-based HIT-PE functionalities.

Impact of Hospital Characteristics and Governance Structure on the Adoption of Tracking Technologies for Clinical and Supply Chain Use: Longitudinal Study of US Hospitals

Background

Despite the increasing adoption rate of tracking technologies in hospitals in the United States, few empirical studies have examined the factors involved in such adoption within different use contexts (eg, clinical and supply chain use contexts). To date, no study has systematically examined how governance structures impact technology adoption in different use contexts in hospitals. Given that the hospital governance structure fundamentally governs health care workflows and operations, understanding its critical role provides a solid foundation from which to explore factors involved in the adoption of tracking technologies in hospitals.

Objective

This study aims to compare critical factors associated with the adoption of tracking technologies for clinical and supply chain uses and examine how governance structure types affect the adoption of tracking technologies in hospitals.

Methods

This study was conducted based on a comprehensive and longitudinal national census data set comprising 3623 unique hospitals across 50 states in the United States from 2012 to 2015. Using mixed effects population logistic regression models to account for the effects within and between hospitals, we captured and examined the effects of hospital characteristics, locations, and governance structure on adjustments to the innate development of tracking technology over time.

Results

From 2012 to 2015, we discovered that the proportion of hospitals in which tracking technologies were fully implemented for clinical use increased from 36.34% (782/2152) to 54.63% (1316/2409), and that for supply chain use increased from 28.58% (615/2152) to 41.3% (995/2409). We also discovered that adoption factors impact the clinical and supply chain use contexts differently. In the clinical use context, compared with hospitals located in urban areas, hospitals in rural areas (odds ratio [OR] 0.68, 95% CI 0.56-0.80) are less likely to fully adopt tracking technologies. In the context of supply chain use, the type of governance structure influences tracking technology adoption. Compared with hospitals not affiliated with a health system, implementation rates increased as hospitals affiliated with a more centralized health system—1.9-fold increase (OR 1.87, 95% CI 1.60-2.13) for decentralized or independent hospitals, 2.4-fold increase (OR 2.40, 95% CI 2.07-2.80) for moderately centralized health systems, and 3.1-fold increase for centralized health systems (OR 3.07, 95% CI 2.67-3.53).

Conclusions

As the first of such type of studies, we provided a longitudinal overview of how hospital characteristics and governance structure jointly affect adoption rates of tracking technology in both clinical and supply chain use contexts, which is essential for developing intelligent infrastructure for smart hospital systems. This study informs researchers, health care providers, and policy makers that hospital characteristics, locations, and governance structures have different impacts on the adoption of tracking technologies for clinical and supply chain use and on health resource disparities among hospitals of different sizes, locations, and governance structures.

Barriers and Facilitators to the Implementation of Virtual Reality as a Pain Management Modality in Academic, Community, and Safety-Net Settings: Qualitative Analysis

Background

Prior studies have shown that virtual reality (VR) is an efficacious treatment modality for opioid-sparing pain management. However, the majority of these studies were conducted among primarily White, relatively advantaged populations and in well-resourced settings.

Objective

We conducted a qualitative, theory-informed implementation science study to assess the readiness for VR in safety-net settings.

Methods

Using the theoretical lens of the Consolidated Framework for Implementation Research (CFIR) framework, we conducted semistructured interviews with current VR users and nonusers based in safety-net health systems (n=15). We investigated barriers and facilitators to a commercially available, previously validated VR technology platform AppliedVR (Los Angeles, CA, USA). We used deductive qualitative analysis using the overarching domains of the CFIR framework and performed open, inductive coding to identify specific themes within each domain.

Results

Interviewees deemed the VR intervention to be useful, scalable, and an appealing alternative to existing pain management approaches. Both users and nonusers identified a lack of reimbursement for VR as a significant challenge for adoption. Current users cited positive patient feedback, but safety-net stakeholders voiced concern that existing VR content may not be relevant or appealing to diverse patients. All respondents acknowledged the challenge of integrating and maintaining VR in current pain management workflows across a range of clinical settings, and this adoption challenge was particularly acute, given resource and staffing constraints in safety-net settings.

Conclusions

VR for pain management holds interest for frontline pain management clinicians and leadership in safety-net health settings but will require significant tailoring and adaption to address the needs of diverse populations. Integration into complex workflows for pain management is a significant barrier to adoption, and participants cited structural cost and reimbursement concerns as impediments to initial implementation and scaling of VR use.

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

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

Processes of care and outcomes for homeless patients hospitalised for cardiovascular conditions at safety-net versus non-safety-net hospitals: cross-sectional study

OBJECTIVES

Evidence suggests that homeless patients experience worse quality of care and poorer health outcomes across a range of medical conditions. It remains unclear, however, whether differences in care delivery at safety-net versus non-safety-net hospitals explain these disparities. We aimed to investigate whether homeless versus non-homeless adults hospitalised for cardiovascular conditions (acute myocardial infarction (AMI) and stroke) experience differences in care delivery and health outcomes at safety-net versus non-safety-net hospitals.

DESIGN

Cross-sectional study.

SETTING

Data including all hospital admissions in four states (Florida, Massachusetts, Maryland, and New York) in 2014.

PARTICIPANTS

We analysed 167 105 adults aged 18 years or older hospitalised for cardiovascular conditions (age mean=64.5 years; 75 361 (45.1%) women; 2123 (1.3%) homeless hospitalisations) discharged from 348 hospitals.

OUTCOME MEASURES

Risk-adjusted diagnostic and therapeutic procedure and in-hospital mortality, after adjusting for patient characteristics and state and quarter fixed effects.

RESULTS

At safety-net hospitals, homeless adults hospitalised for AMI were less likely to receive coronary angiogram (adjusted OR (aOR), 0.42; 95% CI, 0.36 to 0.50; p<0.001), percutaneous coronary intervention (aOR, 0.52; 95% CI, 0.44 to 0.62; p<0.001) and coronary artery bypass graft (aOR, 0.43; 95% CI, 0.26 to 0.71; p<0.01) compared with non-homeless adults. Homeless patients treated for strokes at safety-net hospitals were less likely to receive cerebral arteriography (aOR, 0.23; 95% CI, 0.16 to 0.34; p<0.001), but were as likely to receive thrombolysis therapy. At non-safety-net hospitals, we found no evidence that the probability of receiving these procedures differed between homeless and non-homeless adults hospitalised for AMI or stroke. Finally, there were no differences in in-hospital mortality rates for homeless versus non-homeless patients at either safety-net or non-safety-net hospitals.

CONCLUSION

Disparities in receipt of diagnostic and therapeutic procedures for homeless patients with cardiovascular conditions were observed only at safety-net hospitals. However, we found no evidence that these differences influenced in-hospital mortality markedly.

Temporal Trends in Racial Differences in 30-Day Readmission and Mortality Rates After Acute Myocardial Infarction Among Medicare Beneficiaries

Importance

The association of the Hospital Readmission Reduction Program (HRRP) with reductions in racial disparities in 30-day outcomes for myocardial infarction (MI), is unknown, including whether this varies by HRRP hospital penalty status.

Objective

To assess temporal trends in 30-day readmission and mortality rates among black and nonblack patients discharged after hospitalization for acute MI at low-performing and high-performing hospitals, as defined by readmission penalty status after HRRP implementation.

Design, Setting, and Participants

This observational cohort analysis used data from the multicenter National Cardiovascular Data Registry Chest Pain-MI Registry centers that were subject to the first cycle of HRRP, between January 1, 2008, and November 30, 2016. All patients hospitalized with MI who were included in National Cardiovascular Data Registry Chest Pain-MI Registry were included in the analysis. Data were analyzed from April 2018 to September 2019.

Exposures

Hospital performance category and race (black compared with nonblack patients). Centers were classified as high performing or low performing based on the excess readmission ratio (predicted to expected 30-day risk adjusted readmission rate) for MI during the first HRRP cycle (in October 2012).

Main Outcomes and Measures

Thirty-day all-cause readmission and mortality rates.

Results

Among 753 hospitals that treated 155 397 patients with acute MI (of whom 11 280 [7.3%] were black), 399 hospitals (53.0%) were high performing. Thirty-day readmission rates declined over time in both black and nonblack patients (annualized 30-day readmission rate: 17.9% vs 20.8%). Black (compared with nonblack) race was associated with higher unadjusted odds of 30-day readmission in both low-performing and high-performing centers (odds ratios: before HRRP: low-performing hospitals, 1.14 [95% CI, 1.03-1.26]; P = .01; high-performing hospitals, 1.17 [95% CI, 1.04-1.32]; P = .01; after HRRP: low-performing hospitals, 1.23 [95% CI, 1.13-1.34]; P < .001; high-performing hospitals, 1.25 [95% CI, 1.12-1.39]; P < .001). However, these racial differences were not significant after adjustment for patient characteristics. The 30-day mortality rates declined significantly over time in nonblack patients, with stable (nonsignificant) temporal trends among black patients. Adjusted associations between race and 30-day mortality showed that 30-day mortality rates were significantly lower among black (compared with nonblack) patients in the low-performing hospitals (odds ratios: pre-HRRP, 0.79 [95% CI, 0.63-0.97]; P = .03; post-HRRP, 0.80 [95% CI, 0.68-0.95]; P = .01) but not in high-performing hospitals. Finally, the association between race and 30-day outcomes did not vary after the HRRP period began in either high-performing or low-performing hospitals.

Conclusions and Relevance

In this analysis, 30-day readmission rates among patients with MI declined over time for both black and nonblack patients. Differences in race-specific 30-day readmission rates persisted but appeared to be attributable to patient-level factors. The 30-day mortality rates have declined for nonblack patients and remained stable among black patients. Implementation of the HRRP was not associated with improvement or worsening of racial disparities in readmission and mortality rates.

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.

Understanding shared decision-making experience among vulnerable population: Focus group with food bank clients

Introduction

Shared decision-making (SDM) is a critical component of delivering patient-centered care. Members of vulnerable populations may play a passive role in clinical decision-making; therefore, understanding their prior decision-making experiences is a key step to engaging them in SDM.

Objective

To understand the previous healthcare experiences and current expectations of vulnerable populations on clinical decision-making regarding therapeutic options.

Methods

Clients of a local food bank were recruited to participate in focus groups. Participants were asked to share prior health decision experiences, explain difficulties they faced when making a therapeutic decision, describe features of previous satisfactory decision-making processes, share factors under consideration when choosing between treatment options, and suggest tools that would help them to communicate with healthcare providers. We used the inductive content analysis to interpret data gathered from the focus groups.

Results

Twenty-six food bank clients participated in four focus groups. All participants lived in areas of socioeconomic disadvantage. Four themes emerged: prior negative clinical decision-making experience with providers, patients preparing to engage in SDM, challenges encountered during the decision-making process, and patients' expectations of decision aids. Participants also reported they were unable to discuss therapeutic options at the time of decision-making. They also expressed financial concerns and the need for sufficiently detailed information to evaluate risks.

Conclusion

Our findings suggest the necessity of developing decision aids that would improve the engagement of vulnerable populations in the SDM process, including consideration of affordability, use of patient-friendly language, and incorporation of drug-drug and drug-food interactions information.

Comparing Characteristics of Patients Who Connect Their iPhones to an Electronic Health Records System Versus Patients Who Connect Without Personal Devices: Cohort Study

BACKGROUND

While individual access to health records has traditionally been through paper and other physical media, there has been a recent push toward digitizing this process. Direct patient access to health data through application programming interfaces (APIs) is an important part of current United States policy initiatives, and Apple has created the product "Health Records on iPhone" to leverage APIs for this purpose.

OBJECTIVE

The objective of this study was to examine the characteristics of patients at our institution who connected their personal iPhone devices to our electronic health records (EHRs) system through "Health Records on iPhone", as compared to patients at our institution who used our patient portal but did not connect a personal device to our system.

METHODS

We examined adult patients at our institution who had authorized an iPhone device to download their health data from the Partners HealthCare EHR via APIs through "Health Records on iPhone" from February 18, 2018 (the date this feature was enabled at our health system) until February 17, 2019. We compared these patients to adult patients who used our portal at least once during this period but did not authorize an iPhone device to download their data via APIs.

RESULTS

Variables associated with an increased likelihood of using "Health Records on iPhone" included male gender (adjusted OR 3.36; 95% CI 3.11-3.62; P<.001) and younger age, particularly below 50 years of age. With each decade of age over 50, people were less likely to be "Health Records on iPhone" product users. Asian patients were more likely to use the product than Caucasian patients (adjusted OR 1.32; 95% CI 1.16-1.51; P<.001), though there was no significant difference between African Americans and Caucasians (adjusted OR 1.15; 95% CI 0.94-1.41; P=.17). Patients who resided in higher ZIP code income quartiles were more likely to be users than those in the lowest quartile.

CONCLUSIONS

Early results from the implementation of patient-facing APIs at a single institution suggest that there are opportunities for expanding these technologies to ensure all patients are aware of, and have access to, their health data on their personal devices. More work is needed on expanding these technologies to different patient populations.

Comparison of 3 Safety-Net Hospital Definitions and Association With Hospital Characteristics

IMPORTANCE

No consensus exists on how to define safety-net hospitals (SNHs) for research or policy decision-making. Identifying which types of hospitals are classified as SNHs under different definitions is key to assessing policies that affect SNH funding.

OBJECTIVE

To examine characteristics of SNHs as classified under 3 common definitions.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional analysis includes noncritical-access hospitals in the Healthcare Cost and Utilization Project State Inpatient Databases from 47 US states for fiscal year 2015, linked to the Centers for Medicare & Medicaid Services Hospital Cost Reports and to the American Hospital Association Annual Survey. Data were analyzed from March 1 through September 30, 2018.

EXPOSURES

Hospital characteristics including organizational characteristics, scope of services provided, and financial attributes.

MAIN OUTCOMES AND MEASURES

Definitions of SNH based on Medicaid and Medicare Supplemental Security Income inpatient days historically used to determine Medicare Disproportionate Share Hospital (DSH) payments; Medicaid and uninsured caseload; and uncompensated care costs. For each measure, SNHs were defined as those within the top quartile for each state.

RESULTS

The 2066 hospitals in this study were distributed across the Northeast (340 [16.5%]), Midwest (587 [28.4%]), South (790 [38.2%]), and West (349 [16.9%]). Concordance between definitions was low; 269 hospitals (13.0%) or fewer were identified as SNHs under any 2 definitions. Uncompensated care captured smaller (200 of 523 [38.2%]) and more rural (65 of 523 [12.4%]) SNHs, whereas DSH index and Medicaid and uncompensated caseload identified SNHs that were larger (264 of 518 [51.0%] and 158 of 487 [32.4%], respectively) and teaching facilities (337 of 518 [65.1%] and 229 of 487 [47.0%], respectively) that provided more essential services than non-SNHs. Uncompensated care also distinguished remarkable financial differences between SNHs and non-SNHs. Under the uncompensated care definition, median (interquartile range [IQR]) bad debt ($27.1 [$15.5-$44.3] vs $12.8 [$6.7-$21.6] per $1000 of operating expenses; P < .001) and charity care ($19.9 [$9.3-$34.1] vs $9.1 [$4.0-$18.7] per $1000 of operating expenses) were twice as high and median (IQR) unreimbursed costs ($32.6 [$12.4-$55.4] vs $23.6 [$9.0-$42.7] per $1000 of operating expenses; P < .001) were 38% higher for SNHs than for non-SNHs. Safety-net hospitals defined by uncompensated care burden had lower median (IQR) total (4.7% [0%-9.9%] vs 5.8% [1.2%-11.2%]; P = .003) and operating (0.3% [-8.0% to 7.2%] vs 2.3% [-3.9% to 8.9%]; P < .001) margins than their non-SNH counterparts, whereas differences between SNH and non-SNH profit margins generally were not statistically significant under the other 2 definitions.

CONCLUSIONS AND RELEVANCE

Different SNH definitions identify hospitals with different characteristics and financial conditions. The new DSH formula, which accounts for uncompensated care, may lead to redistributed payments across hospitals. Our results may inform which types of hospitals will experience funding changes as DSH payment policies evolve.

Defining and Measuring Adherence in Observational Studies Assessing Outcomes of Real-world Active Surveillance for Prostate Cancer: A Systematic Review

CONTEXT

Evidence-based guidelines for active surveillance (AS), a treatment option for men with low-risk prostate cancer, recommend regular follow-up at periodic intervals to monitor disease progression. However, gaps in monitoring can lead to delayed detection of cancer progression, leading to a missed window of curability.

OBJECTIVE

We aimed to identify the extent to which real-world observational studies reported adherence to monitoring protocols among prostate cancer patients on AS. When reported, we sought to characterize definitions of adherence.

EVIDENCE ACQUISITION

We systematically reviewed observational studies assessing outcomes of prostate cancer patients on AS, published before March 22, 2019 in PubMed, Embase, and CENTRAL. Adherence definitions were considered time bound if they included prespecified time and binary if adherence was assessed but did not specify a time interval. We assessed study quality using the Strengthening the Reporting of Observational Studies in Epidemiology checklist.

EVIDENCE SYNTHESIS

Forty-five studies met our inclusion criteria. Eleven studies did not report any data on adherence to AS protocols. Twenty-five studies did not explicitly measure adherence, but provided relevant data (eg, number of patients who received a repeat biopsy). Six studies reported adherence using a time-bound definition, while three studies used a binary definition. Twenty-three studies provided information on patients lost to follow-up.

CONCLUSIONS

Most studies reporting outcomes of patients on AS did not measure or report adherence. When reported, adherence was often not time specific. As some AS patients will benefit from maintaining a window of curability, clinical practices and future studies should track and report adherence and associated factors.

PATIENT SUMMARY

We reviewed real-world observational studies examining outcomes of prostate cancer patients on active surveillance. Most studies did not clearly define or report adherence to monitoring protocols, which is important to consider for appropriate disease management.

Implementation of patient-centered prescription labeling in a safety-net ambulatory care network

PURPOSE

An initiative to implement patient-centered medication labeling at 4 pharmacies within a publicly funded safety-net healthcare system is described.

SUMMARY

Medication nonadherence negatively affects patient outcomes and safety. Nonadherence has been attributed to poor understanding of instructions on medication labels. Research has demonstrated that patient-centered labeling (PCL) can improve adherence and produce safer medication-taking practices. As part of a mixed-methods study by a safety-net health system, audits of nearly 9,000 prescription labels generated at 4 pharmacy sites, as well as interviews with 6 stakeholder informants, were conducted to determine PCL adoption rates and factors contributing to success. Descriptive statistics were used to analyze audit data; constructs of the Consolidated Framework for Implementation Research were used to analyze interview data. Among the 4 sites, 3 pharmacies successfully converted more than 85% of audited prescriptions to a PCL format; 1 pharmacy converted less than 25% of prescriptions. Barriers to implementation included pharmacists' reluctance to modify prescriber instructions and inadequate real-time data on conversion rates. Interviewees perceived that leadership and policy directives promoted PCL conversion efforts. Successful pharmacies used adaptable software, had closer communication networks with prescribers, and/or used automation to facilitate PCL conversion.

CONCLUSION

Three pharmacies successfully converted more than 85% of labels for audited prescriptions to a PCL format; 1 pharmacy converted less than 25% of prescriptions. Barriers to implementation included pharmacists' reluctance to modify prescriber instructions, inadequate real-time data on conversation rates, and lack of customizable software to automate changes.

Association Between Medicare's Mandatory Hospital Value-Based Purchasing Program and Cost Inefficiency

BACKGROUND

The Patient Protection and Affordable Care Act instituted pay-for-performance programs, including Hospital Value-Based Purchasing (HVBP), designed to encourage hospital quality and efficiency.

OBJECTIVE AND METHOD

While these programs have been evaluated with respect to their implications for care quality and financial viability, this is the first study to assess the relationship between hospitals' cost inefficiency and their participation in the programs. We estimate a translog specification of a stochastic cost frontier with controls for participation in the HVBP program and clinical and outcome quality for California hospitals for 2012-2015.

RESULTS

The program-participation indicators' parameters imply that participants were more cost inefficient than their peers. Further, the estimated coefficients for summary process of care quality indexes for three health conditions (acute myocardial infarction, pneumonia, and heart failure) suggest that higher quality scores are associated with increased operating costs.

CONCLUSION

The estimated coefficients for the outcome quality variables suggest that future determination of HVBP payment adjustments, which will depend solely on mortality rates as measures of clinical care quality, may not only be aligned with increasing healthcare quality but also reducing healthcare costs.

Enabling Quality: Electronic Health Record Adoption and Meaningful Use Readiness in Federally Funded Health Centers

The Health Resources and Services Administration has supported the adoption of electronic health records (EHRs) by federally funded health centers for over a decade; however, little is known about health centers' current EHR adoption rates, progress toward Meaningful Use, and factors related to adoption. We analyzed cross-sectional data from all 1,128 health centers in 2011, which served over 20 million patients during that year. As of 2011, 80% of health centers reported using an EHR, and high proportions reported using many advanced EHR functionalities. There were no indications of disparities in EHR adoption by census region, urban/rural location, patient sociodemographic composition, physician staffing, or health center funding; however, there were small variations in adoption by total patient cost and percent of revenue from grants. Findings revealed no evidence of a digital divide among health centers, indicating that health centers are implementing EHRs, in keeping with their mission to reduce health disparities.

Organizational Factors Affect Safety-Net Hospitals' Breast Cancer Treatment Rates

OBJECTIVE

To identify key organizational approaches associated with underuse of breast cancer care.

SETTING

Nine New York City area safety-net hospitals.

STUDY DESIGN

Mixed qualitative-quantitative, cross-sectional cohort.

METHODS

We used qualitative comparative analysis (QCA) of key stakeholder interviews, defined organizational "conditions," calibrated conditions, and identified solution pathways. We defined underuse as no radiation after lumpectomy in women <75 years or mastectomy in women with ≥4 positive nodes, or no systemic therapy in women with tumors ≥1 cm. We used hierarchical models to assess organizational and patient factors' impact on underuse.

PRINCIPAL FINDINGS

Underuse varied by hospital (8-29 percent). QCA found lower underuse sites designated individuals to track and follow-up no-shows; shared clinical information during handoffs; had fully integrated electronic medical records enabling transfer of responsibility across specialties; had strong system support; allocated resources to cancer clinics; had a patient-centered culture paying close organizational attention to clinic patients. High underuse sites lacked these characteristics. Multivariate modeling found that hospitals with strong approaches to follow-up had low underuse rates (RR = 0.28; 0.08-0.95); individual patient characteristics were not significant.

CONCLUSIONS

At safety-net hospitals, underuse of needed cancer therapies is associated with organizational approaches to track and follow-up treatment. Findings provide varying approaches to safety nets to improve cancer care delivery.

Assessing the health information needs of unaffiliated health professionals and using training on openly available search tools and resources to provide solutions to their information access challenges and barriers

This article will describe a year-long (2010-11) joint project between Columbia University Medical Center's Health Sciences Library and the Institute for Family Health (IFH), a network of Federally Qualified Health Centers (FQHCs) serving disadvantaged populations in New York State. This National Institutes of Health-funded pilot project aimed to (a) determine the medical literature and training needs of IFH personnel, (b) develop generic licensing agreements with publishers that would enable a health sciences library to provide access to electronic resources for FQHC personnel, and (c) develop reference/education services for IFH personnel. How the reference and education aims were met will be described and discussed here as the lessons learned from this project may be useful to librarians considering doing instructional outreach to unaffiliated health professionals working at FQHCs nationwide.

California safety-net hospitals likely to be penalized by ACA value, readmission, and meaningful-use programs

The Affordable Care Act includes provisions to increase the value obtained from health care spending. A growing concern among health policy experts is that new Medicare policies designed to improve the quality and efficiency of hospital care, such as value-based purchasing (VBP), the Hospital Readmissions Reduction Program (HRRP), and electronic health record (EHR) meaningful-use criteria, will disproportionately affect safety-net hospitals, which are already facing reduced disproportionate-share hospital (DSH) payments under both Medicare and Medicaid. We examined hospitals in California to determine whether safety-net institutions were more likely than others to incur penalties under these programs. To assess quality, we also examined whether mortality outcomes were different at these hospitals. Our study found that compared to non-safety-net hospitals, safety-net institutions had lower thirty-day risk-adjusted mortality rates in the period 2009-11 for acute myocardial infarction, heart failure, and pneumonia and marginally lower adjusted Medicare costs. Nonetheless, safety-net hospitals were more likely than others to be penalized under the VBP program and the HRRP and more likely not to meet EHR meaningful-use criteria. The combined effects of Medicare value-based payment policies on the financial viability of safety-net hospitals need to be considered along with DSH payment cuts as national policy makers further incorporate performance measures into the overall payment system.

National Trends in Nonoperative Management of Rectal Adenocarcinoma

Purpose

Neoadjuvant chemoradiation for stage II/III rectal cancer results in up to 49% of patients with a clinical complete response. As a result, many have questioned whether surgery can be omitted for this group of patients. Currently, there is insufficient evidence for chemoradiation only, or nonoperative management (NOM), to support its adoption. Despite this, anecdotal evidence suggests there is a trend toward increased use of NOM. Our objective was to examine the use of NOM for rectal cancer over time, as well as the patient- and facility-level factors associated with its use.

Methods

We included all incident cases of invasive, nonmetastatic rectal adenocarcinoma reported to the National Cancer Database from 1998 to 2010. We performed univariate and multivariate analyses to assess for NOM use over time, as well as associated patient- and facility-level factors.

Results

A total of 146,135 patients met the inclusion criteria: 5,741 had NOM and 140,394 had surgery with or without additional therapy. From 1998 to 2010, NOM doubled, from 2.4% to 5% of all cases annually. Patients who were black (adjusted odds ratio [AOR], 1.71; 95% CI, 1.57 to 1.86), uninsured (AOR, 2.35; 95% CI, 2.08 to 2.65) or enrolled in Medicaid (AOR, 2.10; 95% CI, 1.90 to 2.33), or treated at low-volume facilities (AOR, 1.53; 95% CI, 1.42 to 1.64) were more likely to receive NOM than were patients who were white, privately insured, and treated at a high-volume facility, respectively.

Conclusion

NOM demonstrates promise for the treatment of rectal cancer; currently, however, the most appropriate strategy is to pursue this approach with well-informed patients in the context of a clinical trial. We observed evidence of increasing NOM use, with this increase occurring more frequently in black and uninsured/Medicaid patients, raising concern that increased NOM use may actually represent increasing disparities in rectal cancer care rather than innovation. Further studies are needed to assess survival differences by treatment strategy.

Qualitative analysis of programmatic initiatives to text patients with mobile devices in resource-limited health systems

Background

Text messaging is an affordable, ubiquitous, and expanding mobile communication technology. However, safety net health systems in the United States that provide more care to uninsured and low-income patients may face additional financial and infrastructural challenges in utilizing this technology. Formative evaluations of texting implementation experiences are limited. We interviewed safety net health systems piloting texting initiatives to study facilitators and barriers to real-world implementation.

Methods

We conducted telephone interviews with various stakeholders who volunteered from each of the eight California-based safety net systems that received external funding to pilot a texting-based program of their choosing to serve a primary care need. We developed a semi-structured interview guide based partly on the Consolidated Framework for Implementation Research (CFIR), which encompasses several domains: the intervention, individuals involved, contextual factors, and implementation process. We inductively and deductively (using CFIR) coded transcripts, and categorized themes into facilitators and barriers.

Results

We performed eight interviews (one interview per pilot site). Five sites had no prior texting experience. Sites applied texting for programs related to medication adherence and monitoring, appointment reminders, care coordination, and health education and promotion. No site texted patient-identifying health information, and most sites manually obtained informed consent from each participating patient. Facilitators of implementation included perceived enthusiasm from patients, staff and management belief that texting is patient-centered, and the early identification of potential barriers through peer collaboration among grantees. Navigating government regulations that protect patient privacy and guide the handling of protected health information emerged as a crucial barrier. A related technical challenge in five sites was the labor-intensive tracking and documenting of texting communications due to an inability to integrate texting platforms with electronic health records.

Conclusions

Despite enthusiasm for the texting programs from the involved individuals and organizations, inadequate data management capabilities and unclear privacy and security regulations for mobile health technology slowed the initial implementation and limited the clinical use of texting in the safety net and scope of pilots. Future implementation work and research should investigate how different texting platform and intervention designs affect efficacy, as well as explore issues that may affect sustainability and the scalability.

Electronic supplementary material

The online version of this article (doi:10.1186/s12911-016-0258-7) contains supplementary material, which is available to authorized users.

The Opportunity for Medical Systems to Reduce Health Disparities Among Lesbian, Gay, Bisexual, Transgender and Intersex Patients

Lesbian, gay, bisexual, transgender, and intersex (LGBTI) people experience a variety of health care disparities, including higher rates of certain chronic illnesses, substance abuse, and HIV. The growing adoption of electronic health records (EHRs) presents an important opportunity to optimize care for LGBTI individuals by routinely capturing in structured form patient sexual orientation and gender identity (SO/GI), as well as a patient's preferred name and pronoun. In addition to improving care provided to LGBTI patients, collection of structured SO/GI information will facilitate important public health data collection efforts that can be used to further reduce health care disparities in this underserved population.

High performing hospitals: a qualitative systematic review of associated factors and practical strategies for improvement

BACKGROUND

High performing hospitals attain excellence across multiple measures of performance and multiple departments. Studying high performing hospitals can be valuable if factors associated with high performance can be identified and applied. Factors leading to high performance are complex and an exclusive quantitative approach may fail to identify richly descriptive or relevant contextual factors. The objective of this study was to undertake a systematic review of qualitative literature to identify methods used to identify high performing hospitals, the factors associated with high performers, and practical strategies for improvement.

METHODS

Methods used to collect and summarise the evidence contributing to this review followed the 'enhancing transparency in reporting the synthesis of qualitative research' protocol. Peer reviewed studies were identified through Medline, Embase and Cinahl (Jan 2000-Feb 2014) using specified key words, subject terms, and medical subject headings. Eligible studies required the use of a quantitative method to identify high performing hospitals, and qualitative methods or tools to identify factors associated with high performing hospitals or hospital departments. Title, abstract, and full text screening was undertaken by four reviewers, and inter-rater reliability statistics were calculated for each review phase. Risk of bias was assessed. Following data extraction, thematic syntheses identified contextual factors important for explaining success. Practical strategies for achieving high performance were then mapped against the identified themes.

RESULTS

A total of 19 studies from a possible 11,428 were included in the review. A range of process, output, outcome and other indicators were used to identify high performing hospitals. Seven themes representing factors associated with high performance (and 25 sub-themes) emerged from the thematic syntheses: positive organisational culture, senior management support, effective performance monitoring, building and maintaining a proficient workforce, effective leaders across the organisation, expertise-driven practice, and interdisciplinary teamwork. Fifty six practical strategies for achieving high performance were catalogued.

CONCLUSIONS

This review provides insights into methods used to identify high performing hospitals, and yields ideas about the factors important for success. It highlights the need to advance approaches for understanding what constitutes high performance and how to harness factors associated with high performance.

Impact of Medicare's Hospital-Acquired Condition policy on infections in safety net and non-safety net hospitals

BACKGROUND

Policymakers may wish to align healthcare payment and quality of care while minimizing unintended consequences, particularly for safety net hospitals.

OBJECTIVE

To determine whether the 2008 Centers for Medicare and Medicaid Services Hospital-Acquired Conditions policy had a differential impact on targeted healthcare-associated infection rates in safety net compared with non-safety net hospitals.

DESIGN

Interrupted time-series design.

SETTING AND PARTICIPANTS

Nonfederal acute care hospitals that reported central line-associated bloodstream infection and ventilator-associated pneumonia rates to the Centers for Disease Control and Prevention's National Health Safety Network from July 1, 2007, through December 31, 2013.

RESULTS

We did not observe changes in the slope of targeted infection rates in the postpolicy period compared with the prepolicy period for either safety net (postpolicy vs prepolicy ratio, 0.96 [95% CI, 0.84-1.09]) or non-safety net (0.99 [0.90-1.10]) hospitals. Controlling for prepolicy secular trends, we did not detect differences in an immediate change at the time of the policy between safety net and non-safety net hospitals (P for 2-way interaction, .87).

CONCLUSIONS

The Centers for Medicare and Medicaid Services Hospital-Acquired Conditions policy did not have an impact, either positive or negative, on already declining rates of central line-associated bloodstream infection in safety net or non-safety net hospitals. Continued evaluations of the broad impact of payment policies on safety net hospitals will remain important as the use of financial incentives and penalties continues to expand in the United States.

Area-level factors associated with electronic health record adoption and meaningful use in the Regional Extension Center Program

OBJECTIVE

To identify area-level correlates of electronic health record (EHR) adoption and meaningful use (MU) among primary care providers (PCPs) enrolled in the Regional Extension Center (REC) Program.

MATERIALS AND METHODS

County-level data on 2013 EHR adoption and MU among REC-enrolled PCPs were obtained from the Office of the National Coordinator for Health Information Technology and linked with other county-level data sources including the Area Resource File, American Community Survey, and Federal Communications Commission's broadband availability database. Hierarchical models with random intercepts for RECs were employed to assess associations between a broad set of area-level factors and county-level rates of EHR adoption and MU.

RESULTS

Among the 2715 counties examined, the average county-level EHR adoption and MU rates for REC-enrolled PCPs were 87.5% and 54.2%, respectively. Community health center presence and Medicaid enrollment concentration were positively associated with EHR adoption, while metropolitan status and Medicare Advantage enrollment concentration were positively associated with MU. Health professional shortage area status and minority concentration were negatively associated with EHR adoption and MU.

DISCUSSION

Increased financial incentives in areas with greater concentrations of Medicaid and Medicare enrollees may be encouraging EHR adoption and MU among REC-enrolled PCPs. Disparities in EHR adoption and MU in some low-resource and underserved areas remain a concern.

CONCLUSIONS

Federal efforts to spur EHR adoption and MU have demonstrated some early success; however, some geographic variations in EHR diffusion indicate that greater attention needs to be paid to ensuring equitable uptake and use of EHRs throughout the US.

Impact of clinical decision support on receipt of antibiotic prescriptions for acute bronchitis and upper respiratory tract infection

OBJECTIVE

Antibiotics are commonly recognized as non-indicated for acute bronchitis and upper respiratory tract infection (URI), yet their widespread use persists. Clinical decision support in the form of electronic warnings is hypothesized to prevent non-indicated prescriptions. The purpose of this study was to identify the effect of clinical decision support on a common type of non-indicated prescription.

MATERIALS AND METHODS

Using National Ambulatory Medical Care Survey data from 2006 to 2010, ambulatory visits with a primary diagnosis of acute bronchitis or URI and orders for antibiotic prescriptions were identified. Visits were classified on the basis of clinician report of decision-support use. Generalized estimating equations were used to assess the effect of decision support on likelihood of antibiotic prescription receipt, controlling for patient, provider, and practice characteristics.

RESULTS

Clinician use of decision support increased sharply between 2006 (16% of visits) and 2010 (55%). Antibiotic prescribing for acute bronchitis and URI increased from ∼35% of visits in 2006 to ∼45% by 2010. Use of decision support was associated with a 19% lower likelihood of receiving an antibiotic prescription, controlling for patient, provider, and practice characteristics.

DISCUSSION

In spite of the increased use of decision-support systems and the relatively fewer non-indicated antibiotic prescriptions resulting from the use of decision support, a secular upward trend in non-indicated antibiotic prescribing offset these improvements.

CONCLUSIONS

The overall effect of decision support suggests an important role for technology in reducing non-indicated prescriptions. Decision support alone may not be sufficient to eliminate non-indicated prescriptions given secular trends.

Systematic engineering tools for describing and improving medication administration processes at rural healthcare facilities

This study demonstrates a series of systematic methods for mapping medication administration processes and for elaborating violations of work standards at two rural hospitals. Thirty-four observational periods were conducted to capture the details of clinical activities, and hierarchical task analysis (HTA) was used to demonstrate the current medication administration process. Facility nurse managers in five units across the two facilities participated in focus group discussions to validate the observational data and to generate a reliable context-appropriate medication administration process. The potential errors or misconduct when passing the drugs were identified, such as unsafe storage and transportation of drugs from room to room. Those hazards would cause drug contamination, loss, or access by unauthorized individuals. Hospitals without 24-hour pharmacy coverage and other interruptions would hinder the medication administration process. Preparing drugs for more than one patient at a time would increase the risk of passing the drugs to the wrong patient. This study shows the use of observation and focus groups to describe and identify violations in the medication administration process. A clear road map for continuous clinical process improvement obtained from the current study could be used to help future health information technology implementation.

Lower rates of EMR use in rural hospitals represent a previously unexplored child health disparity

OBJECTIVES

Rural hospitals face significant barriers to adoption of advanced-stage electronic medical records (EMRs), which may translate to an unexplored disparity for children in rural hospitals. Our objective was to determine whether children hospitalized in rural settings are less likely to be cared for using advanced-stage EMRs.

METHODS

We merged the 2009 Healthcare Cost and Utilization Project Kids Inpatient Dataset with the 2009 Healthcare Information and Management Systems Society database. Logistic regression determined the independent relationship between receiving care in a rural hospital and advanced-stage EMRs.

RESULTS

A total of 430 055 (9.3%) of the 4 605 454 pediatric discharges were rural. Logistic regression analysis determined that even when an extensive list of various patient and hospital characteristics are accounted for, rurality continues to be a strong predictor of a child's care without advanced-stage EMRs (odds ratio 0.3; 95% confidence interval, 0.2-0.5).

CONCLUSIONS

Children hospitalized in a rural hospital are less than half as likely to be treated using advanced-stage EMRs. A focus of government and hospital policies to expand the use of EMRs among rural hospitals may reduce this child health care disparity.

Electronic health information exchange in underserved settings: examining initiatives in small physician practices & community health centers

BACKGROUND

Health information exchange (HIE) is an important tool for improving efficiency and quality and is required for providers to meet Meaningful Use certification from the United States Centers for Medicare and Medicaid Services. However widespread adoption and use of HIE has been difficult to achieve, especially in settings such as smaller-sized physician practices and federally qualified health centers (FQHCs). We assess electronic data exchange activities and identify barriers and benefits to HIE participation in two underserved settings.

METHODS

We conducted key-informant interviews with stakeholders at physician practices and health centers. Interviews were recorded, transcribed, and then coded in two waves: first using an open-coding approach and second using selective coding to identify themes that emerged across interviews, including barriers and facilitators to HIE adoption and use.

RESULTS

We interviewed 24 providers, administrators and office staff from 16 locations in two states. They identified barriers to HIE use at three levels-regional (e.g., lack of area-level exchanges; partner organizations), inter-organizational (e.g., strong relationships with exchange partners; achieving a critical mass of users), and intra-organizational (e.g., type of electronic medical record used; integration into organization's workflow). A major perceived benefit of HIE use was the improved care-coordination clinicians could provide to patients as a direct result of the HIE information. Utilization and perceived benefit of the exchange systems differed based on several practice- and clinic-level factors.

CONCLUSIONS

The adoption and use of HIE in underserved settings appears to be impeded by regional, inter-organizational, and intra-organizational factors and facilitated by perceived benefits largely at the intra-organizational level. Stakeholders should consider factors both internal and external to their organization, focusing efforts in changing modifiable factors and tailoring HIE efforts based on all three categories of factors. Collective action between organizations may be needed to address inter-organizational and regional barriers. In the interest of facilitating HIE adoption and use, the impact of interventions at various levels on improving the use of electronic health data exchange should be tested.

More than half of US hospitals have at least a basic EHR, but stage 2 criteria remain challenging for most

The national effort to promote the adoption and meaningful use of electronic health records (EHRs) is well under way. However, 2014 marks an important transition: For many hospitals, penalties will be assessed in fiscal year 2015 for failing to meet federal meaningful-use criteria by the end of fiscal year 2014. We used recent data from the American Hospital Association Annual Survey of Hospitals--IT Supplement to assess progress and challenges. EHR adoption among US hospitals continues to rise steeply: 59 percent now have at least a basic EHR. Small and rural hospitals continue to lag behind their better resourced counterparts. Most hospitals are able to meet many of the stage 2 meaningful-use criteria, but only 5.8 percent of hospitals are able to meet them all. Several criteria, including sharing care summaries with other providers and providing patients with online access to their data, will require attention from EHR vendors to ensure that the necessary functions are available and additional effort from many hospitals to make certain that these functionalities are used. Policy makers may want to consider new targeted strategies to ensure that all hospitals move toward meaningful use of EHRs.

Electronic health records implementation: an evaluation of information system impact and contingency factors

OBJECTIVE

This paper provides a review of EHR (electronic health record) implementations around the world and reports on findings including benefits and issues associated with EHR implementation.

MATERIALS AND METHODS

A systematic literature review was conducted from peer-reviewed scholarly journal publications from the last 10 years (2001-2011). The search was conducted using various publication collections including: Scopus, Embase, Informit, Medline, Proquest Health and Medical Complete. This paper reports on our analysis of previous empirical studies of EHR implementations. We analysed data based on an extension of DeLone and McLean's information system (IS) evaluation framework. The extended framework integrates DeLone and McLean's dimensions, including information quality, system quality, service quality, intention of use and usage, user satisfaction and net benefits, together with contingent dimensions, including systems development, implementation attributes and organisational aspects, as identified by Van der Meijden and colleagues.

RESULTS

A mix of evidence-based positive and negative impacts of EHR was found across different evaluation dimensions. In addition, a number of contingent factors were found to contribute to successful implementation of EHR.

LIMITATIONS

This review does not include white papers or industry surveys, non-English papers, or those published outside the review time period.

CONCLUSION

This review confirms the potential of this technology to aid patient care and clinical documentation; for example, in improved documentation quality, increased administration efficiency, as well as better quality, safety and coordination of care. Common negative impacts include changes to workflow and work disruption. Mixed observations were found on EHR quality, adoption and satisfaction. The review warns future implementers of EHR to carefully undertake the technology implementation exercise. The review also informs healthcare providers of contingent factors that potentially affect EHR development and implementation in an organisational setting. Our findings suggest a lack of socio-technical connectives between the clinician, the patient and the technology in developing and implementing EHR and future developments in patient-accessible EHR. In addition, a synthesis of DeLone and McLean's framework and Van der Meijden and colleagues' contingent factors has been found useful in comprehensively understanding and evaluating EHR implementations.

The effects of health information technology on the costs and quality of medical care

Information technology has been linked to productivity growth in a wide variety of sectors, and health information technology (HIT) is a leading example of an innovation with the potential to transform industry-wide productivity. This paper analyzes the impact of health information technology (HIT) on the quality and intensity of medical care. Using Medicare claims data from 1998 to 2005, I estimate the effects of early investment in HIT by exploiting variation in hospitals' adoption statuses over time, analyzing 2.5 million inpatient admissions across 3900 hospitals. HIT is associated with a 1.3% increase in billed charges (p-value: 5.6%), and there is no evidence of cost savings even five years after adoption. Additionally, HIT adoption appears to have little impact on the quality of care, measured by patient mortality, adverse drug events, and readmission rates.

Innovations in e-health

The theme of ISOQOL’s 19th Annual Conference in Budapest, Hungary, was The Journey of Quality of Life Research: A Path Towards Personalized Medicine. Innovations in e-health was one of four plenary panels. E-health is changing the landscape of clinical practice and health care, but the best way to leverage the many promised benefits of emerging e-health technologies is still not clear. The Innovations in e-health panel presented emerging changes in technologies and applications that will facilitate clinical decision making, improve quality and efficiency of care, engage individuals in clinical decision making, and empower them to adopt healthy behaviors. The purpose of this paper was to present emerging trends in e-health and considerations for successful adoption of new technologies, and an overview of each of the presentations in the e-health plenary. The presentations included a personal perspective on the use of technology for self-monitoring in Parkinson’s disease, an overview of online social networks and emerging technologies, and the collection of patient-reported outcomes through web-based systems in clinical practice. The common thread across all the talks was the application of e-health tools to empower individuals with chronic disease to be actively engaged in the management of their health. Considerations regarding data ownership and privacy, universal access to e-health, interactivity between different types of e-health technologies, and tailoring applications to individual needs were explored.

Access, interest, and attitudes toward electronic communication for health care among patients in the medical safety net

BACKGROUND

Electronic and internet-based tools for patient-provider communication are becoming the standard of care, but disparities exist in their adoption among patients. The reasons for these disparities are unclear, and few studies have looked at the potential communication technologies have to benefit vulnerable patient populations.

OBJECTIVE

To characterize access to, interest in, and attitudes toward internet-based communication in an ethnically, economically, and linguistically diverse group of patients from a large urban safety net clinic network.

DESIGN

Observational, cross-sectional study

PARTICIPANTS

Adult patients (≥ 18 years) in six resource-limited community clinics in the San Francisco Department of Public Health (SFDPH) MAIN MEASURES: Current email use, interest in communicating electronically with health care professionals, barriers to and facilitators of electronic health-related communication, and demographic data-all self-reported via survey.

KEY RESULTS

Sixty percent of patients used email, 71 % were interested in using electronic communication with health care providers, and 19 % reported currently using email informally with these providers for health care. Those already using any email were more likely to express interest in using it for health matters. Most patients agreed electronic communication would improve clinic efficiency and overall communication with clinicians.

CONCLUSIONS

A significant majority of safety net patients currently use email, text messaging, and the internet, and they expressed an interest in using these tools for electronic communication with their medical providers. This interest is currently unmet within safety net clinics that do not offer a patient portal or secure messaging. Tools such as email encounters and electronic patient portals should be implemented and supported to a greater extent in resource-poor settings, but this will require tailoring these tools to patients' language, literacy level, and experience with communication technology.

Communicating advanced cancer patients' symptoms via the Internet: a pooled analysis of two randomized trials examining caregiver preparedness, physical burden, and negative mood

BACKGROUND

Using available communication technologies, clinicians may offer timely support to family caregivers in managing symptoms in patients with advanced cancer at home.

AIM

To assess the effects of an online symptom reporting system on caregiver preparedness, physical burden, and negative mood.

DESIGN

A pooled analysis of two randomized trials (NCT00214162 and NCT00365963) was conducted to compare caregiver outcomes at 6 and 12 months after intervention between two randomized, unblinded groups using General Linear Mixed Modeling. Caregivers in one group (Comprehensive Health Enhancement Support System-Only) were given access to an interactive cancer communication system, the Comprehensive Health Enhancement Support System. Those in the other group (Comprehensive Health Enhancement Support System + Clinician Report) received access to Comprehensive Health Enhancement Support System plus an online symptom reporting system called the Clinician Report. Clinicians of patients in the Comprehensive Health Enhancement Support System + Clinician Report group received e-mail alerts notifying them when a symptom distress was reported over a predetermined threshold.

SETTING/PARTICIPANTS

Dyads (n = 235) of advanced-stage lung, breast, and prostate cancer patients and their adult caregivers were recruited at five outpatient oncology clinics in the United States.

RESULTS

Caregivers in the Comprehensive Health Enhancement Support System + Clinician Report group reported less negative mood than those in the Comprehensive Health Enhancement Support System-Only group at both 6 months (p = 0.009) and 12 months (p = 0.004). Groups were not significantly different on caregiver preparedness or physical burden at either time point.

CONCLUSIONS

This study provides new evidence that by using an online symptom reporting system, caregivers may experience less emotional distress due to the Clinician Report's timely communication of caregiving needs in symptom management to clinicians.

Measurement of colorectal cancer test use with medical claims data in a safety-net health system

BACKGROUND

Optimizing colorectal cancer (CRC) screening requires identification of unscreened individuals and tracking screening trends. A recent National Institutes of Health State of the Science Conference, "Enhancing Use and Quality of CRC Screening," cited a need for more population data sources for measurement of CRC screening, particularly for the medically underserved. Medical claims data (claims data) are created and maintained by many health systems to facilitate billing for services rendered and may be an efficient resource for identifying unscreened individuals. The aim of this study, conducted at a safety-net health system, was to determine whether CRC test use measured by claims data matches medical chart documentation.

METHODS

The authors randomly selected 400 patients from a universe of 20,000 patients previously included in an analysis of CRC test use based on claims data 2002-2006 in Tarrant Co, TX. Claims data were compared with medical chart documentation by estimation of agreement and examination of test use over/underdocumentation.

RESULTS

The authors found that agreement on test use was very good for fecal occult blood testing (κ = 0.83, 95% confidence interval: 0.75-0.90) and colonoscopy (κ = 0.91, 95% confidence interval: 0.85-0.96) and fair for sigmoidoscopy (κ = 0.39, 95% confidence interval: 0.28-0.49). Over- and underdocumentations of the 2 most commonly used CRC tests--colonoscopy and fecal occult blood testing--were rare.

CONCLUSIONS

Use of claims data by health systems to measure CRC test use is a promising alternative to measuring CRC test use with medical chart review and may be used to identify unscreened patients for screening interventions and track screening trends over time.

Health information technology capacity at federally qualified health centers: a mechanism for improving quality of care

BACKGROUND

The adoption of health information technology has been recommended as a viable mechanism for improving quality of care and patient health outcomes. However, the capacity of health information technology (i.e., availability and use of multiple and advanced functionalities), particularly in federally qualified health centers (FQHCs) on improving quality of care is not well understood. We examined associations between health information technology (HIT) capacity at FQHCs and quality of care, measured by the receipt of discharge summary, frequency of patients receiving reminders/notifications for preventive care/follow-up care, and timely appointment for specialty care.

METHODS

The analyses used 2009 data from the National Survey of Federally Qualified Health Centers. The study included 776 of the FQHCs that participated in the survey. We examined the extent of HIT use and tested the hypothesis that level of HIT capacity is associated with quality of care. Multivariable logistic regressions, reporting unadjusted and adjusted odds ratios, were used to examine whether 'FQHCs' HIT capacity' is associated with the outcome measures.

RESULTS

The results showed a positive association between health information technology capacity and quality of care. FQHCs with higher HIT capacity were significantly more likely to have improved quality of care, measured by the receipt of discharge summaries (OR=1.43; CI=1.01, 2.40), the use of a patient notification system for preventive and follow-up care (OR=1.74; CI=1.23, 2.45), and timely appointment for specialty care (OR=1.77; CI=1.24, 2.53).

CONCLUSIONS

Our findings highlight the promise of HIT in improving quality of care, particularly for vulnerable populations who seek care at FQHCs. The results also show that FQHCs may not be maximizing the benefits of HIT. Efforts to implement HIT must include strategies that facilitate the implementation of comprehensive and advanced functionalities, as well as promote meaningful use of these systems. Further examination of the role of health information systems in clinical decision-making and improvements in patient outcomes are needed to better understand the benefits of HIT in improving overall quality of care.

Obtaining providers' 'buy-in' and establishing effective means of information exchange will be critical to HITECH's success

In enacting the Health Information Technology for Economic and Clinical Health (HITECH) provisions of the American Recovery and Reinvestment Act, Congress set ambitious goals for the nation to integrate information technology into health care delivery. The provisions called for the electronic exchange of health information and the adoption and meaningful use of health information technology in health care practices and hospitals. We examined the marketplace and regulatory forces that influence HITECH's success and identify outstanding challenges, some beyond the provisions' control. To reach HITECH's goals, providers and patients must be persuaded of the value of health information exchange and support its implementation. Privacy concerns and remaining technical challenges must also be overcome. Achieving HITECH's goals will require well-aligned incentives, both visionary and practical pursuit of exchange infrastructure, and realistic assumptions about how quickly such wholesale change can be accomplished. The use of metrics to show adoption proceeding at a reasonable pace, increased flow of data across parties, and evidence that care is improving, at least in areas with robust systems, will be essential to persuade stakeholders that the initiative is progressing well and warrants continued investment.

Looking to the future: incorporating genomic information into disparities research to reduce measurement error and selection bias

OBJECTIVE

To extend recent conceptual and methodological advances in disparities research to include the incorporation of genomic information in analyses of racial/ethnic disparities in health care and health outcomes.

DATA SOURCES

Published literature on human genetic variation, the role of genetics in disease and response to treatment, and methodological developments in disparities research.

STUDY DESIGN

We present a conceptual framework for incorporating genomic information into the Institute of Medicine definition of racial/ethnic disparities in health care, identify key concepts used in disparities research that can be informed by genomics research, and illustrate the incorporation of genomic information into current methods using the example of HER-2 mutations guiding care for breast cancer.

PRINCIPAL FINDINGS

Genomic information has not yet been incorporated into disparities research, though it has direct relevance to concepts of race/ethnicity, health status, appropriate care, and socioeconomic status. The HER-2 example demonstrates how available genetic information can be incorporated into current disparities methods to reduce selection bias and measurement error. Advances in health information infrastructure may soon make standardized genetic information more available to health services researchers.

CONCLUSION

Genomic information can refine measurement of racial/ethnic disparities in health care and health outcomes and should be included wherever possible in disparities research.

Is there a link between the hospital-acquired injurious fall rates in US acute care hospitals and these institutions' implementation levels of computerized systems?

Medicare no longer reimburses acute care hospitals for the costs of additional care required due to hospital-acquired injuries. Consequently, this study explored the effective computerized systems to inform practice for better interventions to reduce fall risk. It provided a correlation between type of computerized system and hospital-acquired injurious fall rates at acute care hospitals in California, Florida, and New York. It used multiple publicly available data sets, with the hospital as the unit of analysis. Descriptive and Pearson correlation analyses were used. The analysis included 462 hospitals. Significant correlations could be categorized into two groups: (1) meaningful computerized systems that were associated with lower injurious fall rates: the decision support systems for drug allergy alerts, drug-drug interaction alerts, and drug-laboratory interaction alerts; and (2) computerized systems that were associated with higher injurious fall rates: the decision support system for drug-drug interaction alerts and the computerized provider order entry system for radiology tests. Future research may include additional states, multiple years of data, and patient-level data to validate this study's findings. This effort may further inform policy makers and the public about effective clinical computerized systems provided to clinicians to improve their practice decisions and care outcomes.

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

To achieve the goal of comprehensive health information record keeping and exchange among providers and patients, hospitals must have functioning electronic health record systems that contain patient demographics, care histories, lab results, and more. Using national survey data on US hospitals from 2011, the year federal incentives for the meaningful use of electronic health records began, we found that the share of hospitals with any electronic health record system increased from 15.1 percent in 2010 to 26.6 percent in 2011, and the share with a comprehensive system rose from 3.6 percent to 8.7 percent. The proportion able to meet our proxy criteria for meaningful use also rose; in 2011, 18.4 percent of hospitals had these functions in place in at least one unit and 11.2 percent had them across all clinical units. However, gaps in rates of adoption of at least a basic record system have increased substantially over the past four years based on hospital size, teaching status, and location. Small, nonteaching, and rural hospitals continue to adopt electronic health record systems more slowly than other types of hospitals. In sum, this is mixed news for policy makers, who should redouble their efforts among hospitals that appear to be moving slowly and ensure that policies do not further widen gaps in adoption. A more robust infrastructure for information exchange needs to be developed, and possibly a special program for the sizable minority of hospitals that have almost no health information technology at all.

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

Underlying many reforms in the Patient Protection and Affordable Care Act (ACA) is the use of electronic medical records (EMRs) to help contain costs. We use MarketScan claims data and American Hospital Association information technology (IT) data to examine whether EMRs can contain costs in the ACA's reforms to reduce patient safety events. We find EMRs do not reduce the rate of patient safety events. However, once an event occurs, EMRs reduce death by 34%, readmissions by 39%, and spending by $4,850 (16%), a cost offset of $1.75 per $1 spent on IT capital. Thus, EMRs contain costs by better coordinating care to rescue patients from medical errors once they occur.