Challenges of EHR "Meaningful Use" in Rural Health Centers.

The Centers for Disease Control and Prevention (CDC) continues to promote the utilization of electronic health records (EHRs) to support population health management and reduce disparities. However, access to EHRs with capabilities to disaggregate data or generate digital dashboards is not always readily available in rural areas. With funding from CDC's DP-18-1815, the Division of Diabetes and Heart Disease Management (Division) at the South Carolina Department of Health and Environmental Control designed a quality improvement initiative to reduce health disparities for people with hypertension and high blood cholesterol in rural areas. With support from a nonprofit partner, the Division used qualitative evaluation methods to evaluate the extent to which practices were able to disaggregate data and report quality measures.

Ideas About Resourcing Health Care in the United States: Can Economic Evaluation Achieve Meaningful Use?

The United States is one of the few high-income countries not to apply economic evaluation routinely to health care decision making on a national level, yet it excels at spending least efficiently on health care. In the interest of continuing to develop new solutions to curb spending on health care and reduce waste in the United States, perhaps now is an important moment to reconsider the benefits of economic evaluation and the barriers that must be overcome to have it emerge as a solution for health care institutions and the patients they serve. This article offers several distinct considerations to make economic evaluation methods (such as cost-effectiveness analysis) an effective component of value-based decision making in the United States. These considerations include overcoming the barriers presented by opportunity costs, spending on health care services versus biomedical technologies, phasing out low-value care, using value of information to prioritize resources, and determining what to do with the quality-adjusted life-year. These issues need to be addressed to achieve a collective purpose for economic evaluation at state and national levels.

Quantifying the competitiveness of the electronic health record market and its implications for interoperability.

OBJECTIVE: The objective of this study was to quantify both the competitiveness of the EHR vendor market in the United States of America (US) and the degree of fragmentation of individual Medicare beneficiaries' medical records across the differing EHR vendors found in the US healthcare system. METHODS AND MATERIALS: We determined the Part A and Part B Medicare-expenditure weighted market shares of EHR vendors and estimated the rate of attestation of meaningful use (MU) for EHRs among Medicare Part A & B providers from 2011 to 2016. Based on these data we calculated the annual Herfindahl-Hirschman Index to quantify the competitiveness of the EHR market as well as the number of vendors individual Medicare beneficiaries' medical records were stored in for the period 2014-2016. RESULTS: We find that as of 2016 the EHR vendor environment was competitive but trending towards becoming highly concentrated soon. We also found that patient medical records were highly fragmented as only 4.5 % of expenditure-weighted individual Medicare beneficiaries had their MU medical records associated with a single vendor, while 19.8 % of expenditure-weighted beneficiaries had their MU medical records stored in 8 or more vendors. DISCUSSION: These results indicate that there are tradeoffs between EHR market competition, and the challenges associated with achieving interoperability across numerous competing vendors. CONCLUSION: Uncertainty of interoperability among different EHR vendors may make transmission of medical records among different providers challenging, mitigating the benefit of vendor competition. This highlights the critical importance of current interoperability efforts moving forward.

Horizontal and vertical integration's role in meaningful use attestation over time.

OBJECTIVE: To compare rates of attestation and attrition from the MU program by independent, horizontally integrated, and vertically integrated physicians and to assess whether MU created pressure for independent physicians to join integrated organizations. DATA SOURCE/STUDY SETTING: Secondary Data from SK&A and Medicare MU Files, 2011-2016. Office-based physicians in the 50 United States and District of Columbia. STUDY DESIGN: We compared attestation rates among physicians that remained independent or integrated throughout the study period. We then assessed the association between changing integration and MU attestation in multivariate regression models. PRINCIPAL FINDINGS: Our sample included 291 234 physicians. Forty nine percent of physicians that remained independent throughout the period attested to MU at least once during the program, compared with 70 percent of physicians that remained horizontally or vertically integrated physicians. Only approximately 50 percent of independent physicians that attested between 2011 and 2013 attested in 2015, representing significantly more attrition than we observed among integrated physicians. In multivariate regression models, physicians that joined these organizations were more likely to have attested to MU prior to integrating and this difference increased following integration. CONCLUSIONS: These findings point toward a growing digital divide between physicians who remain independent and integrated physicians that may have been exacerbated by the MU program. Targeted public policy, such as new regional extension centers, should be considered to address this disparity.

Association between meaningful use of electronic health records and patient health outcomes in schizophrenia: a retrospective database analysis.

Improvements in patient outcomes from the meaningful use of electronic health records (EHRs) have not been extensively studied among patients with schizophrenia. This study assessed the association between EHR use, provision of quality care, and patient outcomes. Providers who were at least 50% compliant with current requirements for the CMS Electronic Health Records Incentive Program were classified as EHR providers. Quality of mental health care was assessed using 4 Healthcare Effectiveness Data and Information Set indicators. Patient outcomes included inpatient admissions and emergency department visits. A total of 18,305 providers (EHR: 16.6%; non-EHR: 83.3%) treated 27,153 patients with schizophrenia. EHR use was associated with improved rates of diabetes screening (77.9% vs 72.4%; P <.001), diabetes monitoring (72.1% vs 61.4%; P <.001), and better antipsychotic adherence (54.7% vs 36.6%; P <.001). EHR use was also associated with fewer inpatient admissions (15.9% vs 25.2%; P <.001) and emergency department visits (32.2% vs 49.3%; P <.001). These data suggest that EHR use may have a positive influence on the process and outcomes of psychiatric care when treating patients with schizophrenia. More research is needed to identify the drivers of the influence of EHRs and to develop programs that ensure all EHR users enjoy the same potential benefits as demonstrated here.

Meaningful Use: Does Physician Participation Move the Needle on Quality Metrics?

INTRODUCTION: To determine the association between pattern of participation in the Meaningful Use (MU) initiative and self-reported clinical quality metrics. METHODS: We used state-level Medicaid electronic health record (EHR) incentive program data to categorize physicians based on receipt of MU payments (single year vs. multiple years) and self-reported quality metrics from 2011 to 2016. RESULTS: Among 4,198 participating physicians, only 36% received more than one EHR incentive payment. Physicians participating for a single year had better cancer-screening metrics. By comparison, physicians who participated for multiple years reported better medication-related metrics and chronic disease management metrics. CONCLUSIONS: Nature of participation may have varying degrees of influence on types of clinical quality metrics. Sustained participation may support management of chronic conditions. Administrative claims data will help to elucidate our findings.

Medicare Incentive Payments to United States Ophthalmologists for Use of Electronic Health Records: 2011-2016.

PURPOSE: To investigate ophthalmologists' rate of attestation to meaningful use (MU) of their electronic health record (EHR) systems in the Medicare EHR Incentive Program and their continuity and success in receiving payments in comparison with other specialties. DESIGN: Administrative database study. PARTICIPANTS: Eligible professionals participating in the Medicare EHR Incentive Program. METHODS: Based on publicly available data sources, subsets of payment and attestation data were created for ophthalmologists and for other specialties. The number of eligible professionals attesting was determined using the attestation data for each year and stage of the program. The proportion of attestations by EHR vendor was calculated using all attestations for each vendor. MAIN OUTCOME MEASURES: Numbers of ophthalmologists attesting by year and stage of the Medicare EHR Incentive Program, incentive payments, and number of attestations by EHR vendor. RESULTS: In the peak year of participation, 51.6% of ophthalmologists successfully attested to MU, compared with 37.1% of optometrists, 50.2% of dermatologists, 54.5% of otolaryngologists, and 64.4% of urologists. Across the 6 years of the program, ophthalmologists received an average of $17 942 in incentive payments compared with $11 105 for optometrists, $16 617 for dermatologists, $20 203 for otolaryngologists, and $23 821 for urologists. Epic and Nextgen were the most frequently used EHRs for attestation by ophthalmologists. CONCLUSIONS: Ophthalmology as a specialty performed better than optometry and dermatology, but worse than otolaryngology and urology, in terms of the proportion of eligible professionals attesting to MU of EHRs. Ophthalmologists were more likely to remain in the program after their initial year of attestation compared with all eligible providers. The top 4 EHR vendors accounted for 50% of attestations by ophthalmologists.

Assessing the Quality of the After-Visit Summary (AVS) in a Primary-Care Clinic.

BACKGROUND AND OBJECTIVE: As part of Affordable Care Act, the Centers for Medicaid Services (CMS) recommend physicians provide patients with an After-Visit Summary (AVS) following a clinic visit. Information should be relevant and actionable with specific instructions regarding their visit and health. Until recently, this recommendation was included as part of meeting the standard for Stage 1 Meaningful Use for all physicians using electronic-health-record (EHR) technology. In 2016, CMS issued a Notice of Proposed Rulemaking to institute parts of the Medicare Access and CHIP Reauthorization Act of 2015 Merit-based Incentive Payment System, which continues to focus on quality, resource use, and use of certified EHR technology. The purpose of this study was to assess the usefulness of the AVS for patients seen at the Parkland Family Medicine Residency Clinic. METHODS: Electronic medical records of 250 randomly selected patients seen at the Parkland Family Medicine Residency Clinic between July 2013 and July 2014 were reviewed using the 3 W's question format, a modified version of the National Patient Safety Foundation's "Ask Me 3 Program," designed to improve communication between patients and their health care providers. RESULTS: The goal of the quality improvement study was to ensure that all patients receive a meaningful (relevant, accurate, and actionable) AVS after each clinic visit. Chart review indicated that 100% of patients received an AVS after each clinic visit. Of these patients, 51.2% were Spanish speaking, 47.2% English speaking, and 1.6% spoke neither English nor Spanish. Of the non-English-speaking patients, 84.8% received the AVS in their first language; the other 15.2% received the AVS in English. Sixteen percent (16%) of patients overall were considered to have received a nonmeaningful AVS. Reasons for the AVS not being meaningful included not containing any information on the patient's presenting problem (39.2%), physician intervention (35%), or plan of care (18.4%). CONCLUSIONS: This study confirmed that although we demonstrate meaningful use of our EHR system, the content of the AVS needs to be improved on.

Alternative payment models and hospital engagement in health information exchange.

OBJECTIVES: To assess whether hospital participation in alternative payment models (APMs) is associated with greater engagement in health information exchange (HIE) along 4 dimensions: volume of patients for whom information is exchanged, diversity of information types, breadth of partner types, and depth of technical approach. STUDY DESIGN: Pooled, cross-sectional analysis of data on US hospitals from 2014 to 2015. METHODS: APM participation came from Leavitt Partners data, Medicare public use files, and the American Hospital Association (AHA) Annual Survey. We used Medicare data to measure HIE volume for 798 hospitals attesting to stage 2 Meaningful Use and the AHA Information Technology Supplement to measure HIE diversity, breadth, and depth for 1730 hospitals. We used mixed-effects regression to estimate the association between participation in APMs and each dimension of HIE. RESULTS: Compared with nonparticipating hospitals, full-year APM participation was associated with lower HIE volume (data were sent for 11 percentage points fewer discharges; P = .003), greater HIE diversity (of 4 data types, 0.3 more were transmitted; P <.001), greater HIE breadth (of 3 partner types, data were sent to 0.3 more; P <.001), and greater HIE depth (the odds of using a push and pull approach were 1.68 times greater; P = .004). CONCLUSIONS: Our finding that APM participation was associated with greater HIE diversity, breadth, and depth suggests that value-based payment may be spurring improvements in HIE infrastructure. However, our finding that APM participation is associated with lower HIE volume suggests that there may be an incentive to focus HIE investments on a limited number of partners.

Methods to detect inappropriate use of MRI and CT for musculoskeletal conditions: A scoping review.

OBJECTIVE: Identify and evaluate methods suitable for detecting inappropriate use of MRI or CT in the musculoskeletal system. DESIGN: Systematic review of studies that described methods to measure inappropriate use of MRI or CT in the musculoskeletal system. We used a multi-step strategy to classify identified methods into categories. These categories were then analyzed according to the data needed and their limitations. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: English or German language studies that measured inappropriate use of MRI or CT in the musculoskeletal system. Articles were also included if they reported a general approach to the measurement of inappropriate imaging regardless of body region. Expert opinions, unsystematic reviews, commentaries, articles without abstracts, and studies on cancer were excluded. RESULTS: 47 studies met the inclusion criteria. The categorization of the studies resulted in seven individual approaches to measure inappropriate use: (1) availability of meaningful diagnostic information; (2) predictors associated with imaging use; (3) comparison with guideline recommendations; (4) assessment by experts; (5) comparison or analysis of patients' paths; (6) comparison with surgery findings; (7) geographic variation. All these approaches have specific data requirements and individual advantages and disadvantages regarding risk of bias and needed data. CONCLUSIONS: We could not find a single method of choice to detect inappropriate use of MRI or CT in the musculoskeletal system. A combination of different approaches is the preferred strategy to deal with the advantages and disadvantages of the individual methods.

Hospital participation in Meaningful Use and racial disparities in readmissions.

OBJECTIVES: To measure the impact of hospital participation in Meaningful Use (MU) on disparities in 30-day readmissions associated with race. STUDY DESIGN: A retrospective cohort study that compared the likelihood of 30-day readmission for Medicare beneficiaries discharged from hospitals participating in Stage 1 of MU with the likelihood of readmission for beneficiaries concurrently discharged from hospitals that were not participating in the initiative. METHODS: Inpatient claims for 2,414,205 Medicare beneficiaries from Florida, New York, and Washington State were used as the primary data source. The study period (2009-2013) included at least 2 years of baseline data prior to each hospital initiating participation in MU. Estimates were derived with linear regression models that included hospital and time fixed effects. By including both hospital and time fixed effects, estimates were based on discharges from the same hospital in the same time period. RESULTS: MU participation among hospitals was not associated with a statistically significant change in readmissions for the broader Medicare population (percentage points [PP], 0.6; 95% CI, -0.2 to 1.4), but hospitals' participation in the initiative was associated with a lower likelihood of readmission for African American beneficiaries (PP, -0.9; 95% CI, -1.5 to -0.4). CONCLUSIONS: Hospital participation in MU reduced disparities in 30-day readmissions for African American Medicare beneficiaries.

Financial Incentives and Physician Practice Participation in Medicare's Value-Based Reforms.

OBJECTIVES: To evaluate whether greater experience and success with performance incentives among physician practices are related to increased participation in Medicare's voluntary value-based payment reforms. DATA SOURCES/STUDY SETTING: Publicly available data from Medicare's Physician Compare (n = 1,278; January 2012 to November 2013) and nationally representative physician practice data from the National Survey of Physician Organizations 3 (NSPO3; n = 907,538; 2013). STUDY DESIGN: We used regression analysis to examine practice-level relationships between prior exposure to performance incentives and participation in key Medicare value-based payment reforms: accountable care organization (ACO) programs, the Physician Quality Reporting System ("Physician Compare"), and the Meaningful Use of Health Information Technology program ("Meaningful Use"). Prior experience and success with financial incentives were measured as (1) the percentage of practices' revenue from financial incentives for quality or efficiency; and (2) practices' exposure to public reporting of quality measures. DATA COLLECTION/EXTRACTION METHODS: We linked physician participation data from Medicare's Physician Compare to the NSPO3 survey. PRINCIPAL FINDINGS: There was wide variation in practices' exposure to performance incentives, with 64 percent exposed to financial incentives, 45 percent exposed to public reporting, and 2.2 percent of practice revenue coming from financial incentives. For each percentage-point increase in financial incentives, there was a 0.9 percentage-point increase in the probability of participating in ACOs (standard error [SE], 0.1, p < .001) and a 0.8 percentage-point increase in the probability of participating in Meaningful Use (SE, 0.1, p < .001), controlling for practice characteristics. Financial incentives were not associated with participation in Physician Compare. Among ACO participants, a 1 percentage-point increase in incentives was associated with a 0.7 percentage-point increase in the probability of being "very well" prepared to utilize cost and quality data (SE, 0.1, p < .001). CONCLUSIONS: Physicians organizations' prior experience and success with performance incentives were related to participation in Medicare ACO arrangements and participation in the meaningful use criteria but not to participation in Physician Compare. We conclude that Medicare must complement financial incentives with additional efforts to address the needs of practices with less experience with such incentives to promote value-based payment on a broader scale.

Meaningful Use and Hospital Performance on Post-Acute Utilization Indicators.

OBJECTIVES: To examine trends in hospital post-acute utilization indicators and to determine whether improvement in these indicators is associated with attesting to meaningful use (MU). DATA SOURCES: Medicare claims-based, repeated measures on 30-day hospital-wide all-cause readmission and emergency department (ED) utilization rates for 160 short-stay hospitals (2009-2012); Medicare EHR Incentive Program Payments files (2011-2012); and other hospital and market data. STUDY DESIGN: Interrupted time series with concurrent comparison group. PRINCIPAL FINDINGS: Propensity score-weighted multilevel models for change demonstrate that 30-day readmission rates (unadjusted) fell from 13.4 percent in 2009 to 12.1 percent in 2012. Similarly, 30-day ED utilization declined from 18.9 percent to 17.3 percent during the same period. However, MU and non-MU hospitals were indistinguishable vis-à-vis performance. Controlling for hospital and market characteristics, MU was unrelated to 30-day readmission. In contrast, 30-day ED utilization deteriorated. CONCLUSIONS: Hospitals with MU Stage 1 designation did not show significantly higher improvement on post-acute utilization compared to their counterparts without. To achieve gains in quality and safety, potentially associated with EHRs, and to advance care coordination and patient engagement, the regulators should strengthen accountability by linking comprehensive, outcomes-based performance measures to specific MU objectives.

Health IT and inappropriate utilization of outpatient imaging: A cross-sectional study of U.S. hospitals.

OBJECTIVE: To determine whether the use of information technology (IT), measured by Meaningful Use capability, is associated with lower rates of inappropriate utilization of imaging services in hospital outpatient settings. RESEARCH DESIGN: A retrospective cross-sectional analysis of 3332 nonfederal U.S. hospitals using data from: Hospital Compare (2011 outpatient imaging efficiency measures), HIMSS Analytics (2009 health IT), and Health Indicator Warehouse (market characteristics). Hospitals were categorized for their health IT infrastructure including EHR Stage-1 capability, and three advanced imaging functionalities/systems including integrated picture archiving and communication system, Web-based image distribution, and clinical decision support (CDS) with physician pathways. Three imaging efficiency measures suggesting inappropriate utilization during 2011 included: percentage of "combined" (with and without contrast) computed tomography (CT) studies out of all CT studies for abdomen and chest respectively, and percentage of magnetic resonance imaging (MRI) studies of lumbar spine without antecedent conservative therapy within 60days. For each measure, three separate regression models (GLM with gamma-log link function, and denominator of imaging measure as exposure) were estimated adjusting for hospital characteristics, market characteristics, and state fixed effects. Additionally, Heckman's Inverse Mills Ratio and propensity for Stage-1 EHR capability were used to account for selection bias. PRINCIPAL FINDINGS: We find support for association of each of the four health IT capabilities with inappropriate utilization rates of one or more imaging modality. Stage-1 EHR capability is associated with lower inappropriate utilization rates for chest CT (incidence rate ratio IRR=0.72, p-value <0.01) and lumbar MRI (IRR=0.87, p-value <0.05). Integrated PACS is associated with lower inappropriate utilization rate of abdomen CT (IRR=0.84, p-value <0.05). Imaging distribution over Web capability is associated with lower inappropriate utilization rates for chest CT (IRR=0.66, p-value <0.05) and lumbar MRI (IRR=0.86, p-value <0.05). CDS with physician pathways is associated with lower inappropriate utilization rates for abdomen CT (IRR=0.87, p-value <0.01) and lumbar MRI (IRR=0.90, p-value <0.05). All other cases showed no association. CONCLUSIONS: The study offers mixed results. Taken together, the results suggest that the use of Stage-1 Meaningful Use capable EHR systems along with advanced imaging related functionalities could have a beneficial impact on reducing some of the inappropriate utilization of outpatient imaging.

Complexity of Chronic Conditions' Impact on End-of-Life Expense Trajectories of Medicare Decedents.

OBJECTIVE: The aim of this study is to determine if the pattern of monthly medical expense can be used to identify individuals at risk of dying, thus supporting providers in proactively engaging in advanced care planning discussions. BACKGROUND: Identifying the right time to discuss end of life can be difficult. Improved predictive capacity has made it possible for nurse leaders to use large data sets to guide clinical decision making. METHODS: We examined the patterns of monthly medical expense of Medicare beneficiaries with life-limiting illness during the last 24 months of life using analysis of variance, t tests, and stepwise hierarchical linear modeling. RESULTS: In the final year of life, monthly medical expense increases rapidly for all disease groupings and forms distinct patterns of change. CONCLUSION: Type of condition can be used to classify decedents into distinctly different cost trajectories. Conditions including chronic disease, system failure, or cancer may be used to identify patients who may benefit from supportive care.

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.

Increased Health Information Technology Adoption and Use Among Small Primary Care Physician Practices Over Time: A National Cohort Study.

PURPOSE: Implementation and meaningful use of health information technology (HIT) has been shown to facilitate delivery system transformation, yet implementation is far from universal. This study examined correlates of greater HIT implementation over time among a national cohort of small primary care practices in the United States. METHODS: We used data from a 40-minute telephone panel survey of 566 small primary care practices having 8 or fewer physicians to investigate adoption and use of HIT in 2007-2010 and 2012-2013. We used generalized estimating equations (GEE) to estimate the association of practice characteristics and external incentives with the adoption and use of HIT. We studied 18 measures of HIT functionalities, including record keeping, clinical decision support, patient communication, and health information exchange with hospitals and pharmacies. RESULTS: Overall, use of 16 HIT functionalities increased significantly over time, whereas use of 2 decreased significantly. On average, compared with physician-owned practices, hospital-owned practices used 1.48 (95% CI, 1.07-1.88; P <.001) more HIT processes. And relative to smaller practices, practices with 3 to 8 physicians used 2.49 (95% CI, 2.26-2.72; P <.001) more HIT processes. Participation in pay-for-performance programs, participation in public reporting of clinical quality data, and a larger proportion of revenue from Medicare were also associated with greater adoption and use of HIT. CONCLUSIONS: The new Medicare Access and CHIP Reauthorization Act (MACRA) will provide payment incentives and technical support to speed HIT adoption and use by small practices. We found that external incentives were, indeed, positively associated with greater adoption and use of HIT. Our findings also support a strategy of targeting assistance to smaller physician practices and those that are physician owned.

Smoking-Cessation Assistance: Before and After Stage 1 Meaningful Use Implementation.

INTRODUCTION: Brief smoking-cessation interventions in primary care settings are effective, but delivery of these services remains low. The Centers for Medicare and Medicaid Services' Meaningful Use (MU) of Electronic Health Record (EHR) Incentive Program could increase rates of smoking assessment and cessation assistance among vulnerable populations. This study examined whether smoking status assessment, cessation assistance, and odds of being a current smoker changed after Stage 1 MU implementation. METHODS: EHR data were extracted from 26 community health centers with an EHR in place by June 15, 2009. AORs were computed for each binary outcome (smoking status assessment, counseling given, smoking-cessation medications ordered/discussed, current smoking status), comparing 2010 (pre-MU), 2012 (MU preparation), and 2014 (MU fully implemented) for pregnant and non-pregnant patients. RESULTS: Non-pregnant patients had decreased odds of current smoking over time; odds for all other outcomes increased except for medication orders from 2010 to 2012. Among pregnant patients, odds of assessment and counseling increased across all years. Odds of discussing or ordering of cessation medications increased from 2010 compared with the other 2 study years; however, medication orders alone did not change over time, and current smoking only decreased from 2010 to 2012. Compared with non-pregnant patients, a lower percentage of pregnant patients were provided counseling. CONCLUSIONS: Findings suggest that incentives for MU of EHRs increase the odds of smoking assessment and cessation assistance, which could lead to decreased smoking rates among vulnerable populations. Continued efforts for provision of cessation assistance among pregnant patients is warranted.

Meaningful Use of an Electronic Personal Health Record (ePHR) among Pediatric Cancer Survivors.

Background and Objectivs: Survivors of pediatric and adolescent cancer are at an increased risk of chronic and debilitating health conditions and require life-long specialized care. Stand-alone electronic personal health records (ePHRs) may aid their self-management. This analysis characterizes young adult survivors and parents who meaningfully use an ePHR, Cancer SurvivorLinkTM, designed for survivors of pediatric and adolescent cancer. METHODS: This was a retrospective observational study of patients seen at a pediatric survivor clinic for annual survivor care. Young adult survivors and/or parent proxies for survivors <18 years old who completed ePHR registration prior to their appointment or within 90 days were classified as registrants. Registrants who uploaded or downloaded a document and/or shared their record were classified as meaningful users. RESULTS: Overall, 23.7% (148/624) of survivors/parents registered and 38% of registrants used SurvivorLink meaningfully. Young adult registrants who transferred to adult care during the study period were more likely to be meaningful users (aOR: 2.6 (95% CI: 1.1, 6.1)) and used the ePHR twice as frequently as those who continued to receive care in our institution's pediatric survivor clinic. Among survivors who continued to receive care at our institution, being a registrant was associated with having an annual follow-up visit (aOR: 2.6 (95% CI: 1.2, 5.8)). CONCLUSIONS: While ePHRs may not be utilized by all survivors, SurvivorLink is a resource for a subset and may serve as an important bridge for patients who transfer their care. Using SurvivorLink was also associated with receiving recommended annual survivor care.