Patient Characteristics Associated With Smoking Cessation Interventions and Quit Attempt Rates Across 10 Community Health Centers With Electronic Health Records.

OBJECTIVES: We used electronic health record (EHR) data to determine rates and patient characteristics in offering cessation interventions (counseling, medications, or referral) and initiating quit attempts. METHODS: Ten community health centers in New York City contributed 30 months of de-identified patient data from their EHRs. RESULTS: Of 302 940 patients, 40% had smoking status recorded and only 34% of documented current smokers received an intervention. Women and younger patients were less likely to have their smoking status documented or to receive an intervention. Patients with comorbidities that are exacerbated by smoking were more likely to have status documented (82.2%) and to receive an intervention (52.1%), especially medication (10.8%). Medication, either alone (odds ratio [OR] = 1.9; 95% confidence interval [CI] = 1.5, 2.3) or combined with counseling (OR = 1.8; 95% CI = 1.5, 2.3), was associated with higher quit attempts compared with no intervention. CONCLUSIONS: Data from EHRs demonstrated underdocumentation of smoking status and missed opportunities for cessation interventions. Use of data from EHRs can facilitate quality improvement efforts to increase screening and intervention delivery, with the potential to improve smoking cessation rates.

Health IT-Enabled Care Coordination: A National Survey of Patient-Centered Medical Home Clinicians.

PURPOSE: Health information technology (IT) offers promising tools for improving care coordination. We assessed the feasibility and acceptability of 6 proposed care coordination objectives for stage 3 of the Centers for Medicare and Medicaid Services electronic health record incentive program (Meaningful Use) related to referrals, notification of care from other facilities, patient clinical summaries, and patient dashboards. METHODS: We surveyed physician-owned and hospital/health system-affiliated primary care practices that achieved patient-centered medical home recognition and participated in the Meaningful Use program, and community health clinics with patient-centered medical home recognition (most with certified electronic health record systems). The response rate was 35.1%. We ascertained whether practices had implemented proposed objectives and perceptions of their importance. We analyzed the association of organizational and contextual factors with self-reported use of health IT to support care coordination activities. RESULTS: Although 78% of the 350 respondents viewed timely notification of hospital discharges as very important, only 48.7% used health IT systems to accomplish this task. The activity most frequently supported by health IT was providing clinical summaries to patients, in 76.6% of practices; however, merely 47.7% considered this activity very important. Greater use of health IT to support care coordination activities was positively associated with the presence of a nonclinician responsible for care coordination and the practice's capacity for systematic change. CONCLUSIONS: Even among practices having a strong commitment to the medical home model, the use of health IT to support care coordination objectives is not consistent. Health IT capabilities are not currently aligned with clinicians' priorities. Many practices will need financial and technical assistance for health IT to enhance care coordination.

The intended and unintended consequences of quality improvement interventions for small practices in a community-based electronic health record implementation project.

BACKGROUND: Despite the rapid rise in the implementation of electronic health records (EHR), commensurate improvements in health care quality have not been consistently observed. OBJECTIVES: To evaluate whether the implementation of EHRs and complementary interventions-including clinical decision support, technical assistance, and financial incentives-improved quality of care. RESEARCH DESIGN: The study included 143 practices that implemented EHRs as part of the Primary Care Information Project-a long-standing community-based EHR implementation initiative. A total of 71 practices were randomized to receive financial incentives and quality feedback and 72 were randomized to feedback alone. All practices received technical assistance and had clinical decision support in their EHR. Using data from 2009 to 2011, we estimated measure-level fixed effects models to evaluate the association between exposure to clinical decision support, technical assistance, financial incentives, and quality of care. Associations were estimated separately for 4 cardiovascular measures that were rewarded by the financial incentive program and 4 measures that were not rewarded by incentives. RESULTS: Financial incentives for quality were consistently associated with higher performance for the incentivized measures [+10.1 percentage points at 18 mo of exposure (approximately +22%), P<0.05] and lower performance for the unincentivized measures [-8.3 percentage points at 12 mo of exposure (approximately -20%), P<0.05]. Technical assistance was associated with higher quality for the unincentivized measures, but not for the incentivized measures. CONCLUSIONS: Technical assistance and financial incentives-alongside EHR implementation-can improve quality of care. Financial incentives for quality may not result in similar improvements for incentivized and unincentivized measures.

Does it get easier to use an EHR? Report from an urban regional extension center.

BACKGROUND: Little is known about whether more experience with an electronic health record (EHR) makes it easier for providers to meaningfully use EHRs. OBJECTIVE: To assess whether the length of time that small practice providers have been using the EHR is associated with greater ease in performing meaningful use-related tasks and fewer EHR-related concerns. DESIGN/PARTICIPANTS: We administered a web-based survey to 400 small practice providers in medically underserved communities in New York City participating in an EHR implementation and technical assistance project. We used logistic regression to estimate the association between the length of time a provider had been using the EHR (i.e., "live") and the ease of performing meaningful use-related tasks and EHR-related concerns, controlling for provider and practice characteristics. KEY RESULTS: Compared to providers who had been live 6 to 12 months, providers who had been live 2 years or longer had 2.02 times greater odds of reporting it was easy to e-prescribe new prescriptions (p < 0.05), 2.12 times greater odds of reporting it was easy to e-prescribe renewal prescriptions (p < 0.05), 2.02 times greater odds of reporting that quality measures were easy to report (p < 0.05), 2.64 times greater odds of reporting it was easy to incorporate lab results as structured data (p < 0.001), and 2.00 times greater odds of reporting it was easy to generate patient lists by condition (p < 0.05). Providers who had been live 2 years or longer had 0.40 times lower odds of reporting financial costs were a concern (p < 0.001), 0.46 times lower odds of reporting that productivity loss was a concern (p < 0.05), 0.54 times lower odds of reporting that EHR unreliability was a concern (p < 0.05), and 0.50 times lower odds of reporting that privacy/security was a concern (p < 0.05). CONCLUSIONS: Providers can successfully adjust to the EHR and over time are better able to meaningfully use the EHR.

Increases in smoking cessation interventions after a feedback and improvement initiative using electronic health records -- 19 community health centers, New York City, October 2010-March 2012.

Quitting smoking substantially reduces smokers' risk for smoking-related morbidity and mortality and can increase life expectancy by up to a decade. Most smokers want to quit and make at least one medical provider visit annually. Health care providers can play an important role in helping smokers quit by documenting patients' tobacco use, advising smokers to quit, and providing evidence-based cessation treatments or referrals for treatment, but many providers and practices do not regularly take these actions. Systems to increase provider screening and delivery of cessation interventions are available; in particular, electronic health records (EHRs) can be powerful tools to facilitate increased cessation interventions. This analysis reports on an EHR-based pay-for-improvement initiative in 19 community health centers (CHCs) in New York City (NYC) that sought to increase smoking status documentation and cessation interventions. At the end of the initiative, the mean proportion of patients who were documented as smokers in CHCs had increased from 24% to 27%, whereas the mean proportion of documented smokers who received a cessation intervention had increased from 23% to 54%. Public health programs and health systems should consider implementing strategies to equip and train clinical providers to use information technology to increase delivery of cessation interventions.

Patient-centered medical home among small urban practices serving low-income and disadvantaged patients.

PURPOSE: Research on the patient-centered medical home (PCMH) model and practice redesign has not focused on the unique challenges and strengths of very small primary care practices serving disadvantaged patient populations. We analyzed the practice characteristics, prior experiences, and dimensions of the PCMH model that exist in such practices participating in the Primary Care Information Project (PCIP) of the New York City Department of Mental Health and Hygiene. METHODS: We obtained descriptive data, focusing on PCMH, for 94 primary care practices with 5 or fewer clinicians serving high volumes of Medicaid and minority patient populations in New York City. Data included information extracted from PCIP administrative data and survey data collected specifically for this study. RESULTS: Survey results indicated substantial implementation of key aspects of the PCMH among small practices serving disadvantaged patient populations, despite considerable potential challenges to achieving PCMH implementation. Practices tended to use few formal mechanisms, such as formal care teams and designated care or case managers, but there was considerable evidence of use of informal team-based care and care coordination nonetheless. It appears that many of these practices achieved the spirit, if not the letter, of the law in terms of key dimensions of PCMH. CONCLUSIONS: Small practices can achieve important aspects of the PCMH model of primary care, often with informal rather than formal mechanisms and strategies. The use of flexible, less formal strategies is important to keep in mind when considering implementation and assessment of PCMH-like initiatives in small practices.

Context matters: the experience of 14 research teams in systematically reporting contextual factors important for practice change.

PURPOSE: We aimed to advance the internal and external validity of research by sharing our empirical experience and recommendations for systematically reporting contextual factors. METHODS: Fourteen teams conducting research on primary care practice transformation retrospectively considered contextual factors important to interpreting their findings (internal validity) and transporting or reinventing their findings in other settings/situations (external validity). Each team provided a table or list of important contextual factors and interpretive text included as appendices to the articles in this supplement. Team members identified the most important contextual factors for their studies. We grouped the findings thematically and developed recommendations for reporting context. RESULTS: The most important contextual factors sorted into 5 domains: (1) the practice setting, (2) the larger organization, (3) the external environment, (4) implementation pathway, and (5) the motivation for implementation. To understand context, investigators recommend (1) engaging diverse perspectives and data sources, (2) considering multiple levels, (3) evaluating history and evolution over time, (4) looking at formal and informal systems and culture, and (5) assessing the (often nonlinear) interactions between contextual factors and both the process and outcome of studies. We include a template with tabular and interpretive elements to help study teams engage research participants in reporting relevant context. CONCLUSIONS: These findings demonstrate the feasibility and potential utility of identifying and reporting contextual factors. Involving diverse stakeholders in assessing context at multiple stages of the research process, examining their association with outcomes, and consistently reporting critical contextual factors are important challenges for a field interested in improving the internal and external validity and impact of health care research.

Sustained improvement in clinical preventive service delivery among independent primary care practices after implementing electronic health record systems.

INTRODUCTION: Studies showing sustained improvements in the delivery of clinical preventive services are limited. Fewer studies demonstrate sustained improvements among independent practices that are not affiliated with hospitals or integrated health systems. This study examines the continued improvement in clinical quality measures for a group of independent primary care practices using electronic health records (EHRs) and receiving technical support from a local public health agency. METHODS: We analyzed clinical quality measure performance data from a cohort of primary care practices that implemented an EHR at least 3 months before October 2009, the study baseline. We assessed trends for 4 key quality measures: antithrombotic therapy, blood pressure control, smoking cessation intervention, and hemoglobin A1c (HbA1c) testing based on monthly summary data transmitted by the practices. RESULTS: Of the 151 practices, 140 were small practices and 11 were community health centers; average time using an EHR was 13.7 months at baseline. From October 2009 through October 2011, average rates increased for antithrombotic therapy (from 58.4% to 74.8%), blood pressure control (from 55.3% to 64.1%), HbA1c testing (from 46.4% to 57.7%), and smoking cessation intervention (from 29.3% to 46.2%). All improvements were significant. CONCLUSION: During 2 years, practices showed significant improvement in the delivery of several key clinical preventive services after implementing EHRs and receiving support services from a public health agency.

Effect of pay-for-performance incentives on quality of care in small practices with electronic health records: a randomized trial.

IMPORTANCE: Most evaluations of pay-for-performance (P4P) incentives have focused on large-group practices. Thus, the effect of P4P in small practices, where many US residents receive care, is largely unknown. Furthermore, whether electronic health records (EHRs) with chronic disease management capabilities support small-practice response to P4P has not been studied. OBJECTIVE: To assess the effect of P4P incentives on quality in EHR-enabled small practices in the context of an established quality improvement initiative. DESIGN, SETTING, AND PARTICIPANTS: A cluster-randomized trial of small (<10 clinicians) primary care clinics in New York City from April 2009 through March 2010. A city program provided all participating clinics with the same EHR software with decision support and patient registry functionalities and quality improvement specialists offering technical assistance. INTERVENTIONS: Incentivized clinics were paid for each patient whose care met the performance criteria, but they received higher payments for patients with comorbidities, who had Medicaid insurance, or who were uninsured (maximum payments: $200/patient; $100,000/clinic). Quality reports were given quarterly to both the intervention and control groups. MAIN OUTCOMES AND MEASURES: Comparison of differences in performance improvement, from the beginning to the end of the study, between control and intervention clinics for aspirin or antithrombotic prescription, blood pressure control, cholesterol control, and smoking cessation interventions. Mixed-effects logistic regression was used to account for clustering of patients within clinics, with a treatment by time interaction term assessing the statistical significance of the effect of the intervention. RESULTS: Participating clinics (n = 42 for each group) had similar baseline characteristics, with a mean of 4592 (median, 2500) patients at the intervention group clinics and 3042 (median, 2000) at the control group clinics. Intervention clinics had greater adjusted absolute improvement in rates of appropriate antithrombotic prescription (12.0% vs 6.1%, difference: 6.0% [95% CI, 2.2% to 9.7%], P = .001 for interaction term), blood pressure control (no comorbidities: 9.7% vs 4.3%, difference: 5.5% [95% CI, 1.6% to 9.3%], P = .01 for interaction term; with diabetes mellitus: 9.0% vs 1.2%, difference: 7.8% [95% CI, 3.2% to 12.4%], P = .007 for interaction term; with diabetes mellitus or ischemic vascular disease: 9.5% vs 1.7%, difference: 7.8% [95% CI, 3.0% to 12.6%], P = .01 for interaction term), and in smoking cessation interventions (12.4% vs 7.7%, difference: 4.7% [95% CI, -0.3% to 9.6%], P = .02 for interaction term). Intervention clinics performed better on all measures for Medicaid and uninsured patients except cholesterol control, but no differences were statistically significant. CONCLUSIONS AND RELEVANCE: Among small EHR-enabled clinics, a P4P incentive program compared with usual care resulted in modest improvements in cardiovascular care processes and outcomes. Because most proposed P4P programs are intended to remain in place more than a year, further research is needed to determine whether this effect increases or decreases over time. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00884013.

Patient experiences at primary care practices using electronic health records.

We assessed patient experiences before and one year after electronic health record (EHR) implementation among primary care practices in New York City. These practices represented an ethnically diverse population in lower-income, urban communities. Surveys, available in English, Spanish, and Chinese languages, were administered at 10 sites. Generally, patients reported positive responses during both periods. After EHR implementation, patients were more likely to want e-mail communication with their doctors' office. The 70% of patients with Internet access were generally more satisfied with their experience and more likely to recognize benefits of EHRs. However, older patients and those with lower education levels or chronic diseases were significantly less likely than their counterparts to use the Internet. Therefore, disparities in Internet access could potentially lead to unequal access and use of healthcare if not addressed. Practices should routinely record patient communication preferences within the EHR, to tailor communications and improve patient experiences.

The business end of health information technology. Can a fully integrated electronic health record increase provider productivity in a large community practice?

Electronic health records (EHRs) are expected to transform and improve the way medicine is practiced. However, providers perceive many barriers toward implementing new health information technology. Specifically, they are most concerned about the potentially negative impact on their practice finances and productivity. This study compares the productivity of 75 providers at a large urban primary care practice from January 2005 to February 2009, before and after implementing an EHR system, using longitudinal mixed model analyses. While decreases in productivity were observed at the time the EHR system was implemented, most providers quickly recovered, showing increases in productivity per month shortly after EHR implementation. Overall, providers had significant productivity increases of 1.7% per month per provider from pre- to post-EHR adoption. The majority of the productivity gains occurred after the practice instituted a pay-for-performance program, enabled by the data capture of the EHRs. Coupled with pay-for-performance, EHRs can spur rapid gains in provider productivity.

Measuring practice systems for chronic illness care: accuracy of self-reports from clinical personnel.

BACKGROUND: Purchasers, plans, and clinical practices involved in quality improvement initiatives are increasingly interested in measuring practice systems, particularly in relation to clinical quality and as part of pay-for-quality initiatives. The validity of self-reports of the use of practice systems was examined. METHODS: In 11 medical groups in Minnesota, the Physician Practice Connections Readiness Survey, which was developed on the basis of the concepts and evidence base of the Chronic Care Model, was used to survey office practice personnel about practice systems. Participation rates by medical group ranged from 61% to 94%, with a mean of 76%, yielding surveys from 32 lead physicians and 241 other personnel. Survey results were compared with an on-site audit by trained surveyors. RESULTS: Overall agreement with the on-site audit ranged from 40.9% to 96.7% among lead physicians and from 33.9% to 81.9% among other personnel. Mean agreement was high for quality improvement (96.7% for lead physicians and 81.9% for other personnel), moderate for clinical information systems (71.2% for lead physicians and 66.0% for others), and low for the use of care management (less than 50% for both groups). Mean positive predictive value ranged from 55.2% to 100% among lead physicians and from 49.6% to 100% among other personnel. Both the presence of systems and the accuracy of reporting varied across medical groups. DISCUSSION: The accuracy of self-reports of practice systems varies by type of system being assessed and by type of respondent. Although self-assessment may be useful for quality improvement purposes, self-reported information on clinical practices systems should not be used for accountability purposes, including pay-for-quality efforts or public reporting unless additional documentation is required to ensure fair comparisons.

Patient-Centered Care in Small Primary Care Practices in New York City: Recognition Versus Reality.

BACKGROUND: The Primary Care Information Project (PCIP) is a program administered by the New York City Department of Health and Mental Hygiene to help primary care providers adopt a fully functional electronic health record (EHR) and focus on population health. PCIP also offers practices assistance with the National Committee for Quality Assurance (NCQA) patient-centered medical home (PCMH) recognition application. The objectives of this study were to assess the presence of key dimensions of PCMH among PCIP practices with 5 or fewer providers and to determine whether and to what extent NCQA recognition was related to the presence of these dimensions. METHODS: Analyses relied on data collected from a comprehensive practice assessment survey of PCIP practices administered in summer 2012. The survey was developed to assess discrete dimensions of the PCMH model and other practice characteristics. The study population includes practices for which survey results were available among PCIP practices with 5 or fewer providers (63% response rate; n = 83). RESULTS: At the time of survey, 57% of practices had received some level of NCQA recognition (n = 47). Practices with recognition scored significantly higher on several dimensions, including whole person orientation, team-based care, care coordination and integration, and quality and safety. CONCLUSIONS: Results indicate that very small urban practices in New York City are implementing many key features of PCMH. In general, practices with NCQA recognition scored higher on PCMH constructs and domains relative to practices without recognition; however, there is room for improvement on construct and domain scores in both groups.

The relationship between quality and utilization in managed care.

OBJECTIVE: To examine correlations of commercial health plan performance on Health Plan Employer Data and Information Set (HEDIS) effectiveness-of-care measures with utilization rates, as a proxy for cost. STUDY DESIGN: Cross-sectional study of 254 commercial health plans. METHODS: This report used data reported by commercial managed care plans in the 2003 HEDIS dataset. Utilization measures included access to care (the proportion of adults with at least 1 primary care or preventive visit), outpatient use (the number of outpatient visits per 1000 members per year), inpatient discharges (the number of inpatient discharges for medical conditions per 1000 members per year), and inpatient days (inpatient hospital days for medical conditions per 1000 members per year). A composite quality score was calculated from HEDIS indicators. Estimates of health plan membership demographics were identified from Consumer Assessment of Health Plans (CAHPS) survey data. Of 316 reporting plans, 254 reported sufficient data to be included in this analysis. Bivariate correlations and multivariate regressions (controlling for health plan and membership characteristics) were conducted. RESULTS: Quality was positively correlated with access to outpatient care (r = 0.46, P < .001), negatively associated with inpatient days (r = -0.30, P < .001), and not associated with total outpatient visits (r = 0.04, not significant). Regression results controlling for selected plan and member characteristics demonstrated similar findings. CONCLUSIONS: Although the mechanism of this cross-sectional association is unclear, these data provide important starting points for further research on the interrelationships of quality and resource use.

Practice systems for chronic care: frequency and dependence on an electronic medical record.

OBJECTIVES: To document the presence and functioning of different practice systems in a small sample of medical groups in Minnesota and to examine the relationship between the presence of practice systems and prior adoption of an electronic medical record (EMR). STUDY DESIGN: Descriptive study of the frequency of practice systems in 11 medical groups. METHODS: We recruited 11 medical groups for the study. Four groups had an EMR; the other groups used paper medical records, often supplemented by electronic ordering or data systems. Using an on-site audit team, we validated the presence of practice systems organized under 8 categories. RESULTS: All of the medical groups had implemented a substantial number of practice systems for care management of patients with chronic conditions. Although the medical groups with an EMR tended to have more comprehensive practice systems in place, the medical groups without an EMR also had most of the practice systems. CONCLUSIONS: Although required in some functions, an EMR may not be necessary in facilitating practice systems that support consistent management of patients with chronic illness. Approaches are needed that will encourage the implementation of practice systems in medical groups with and without an EMR.

Effect of Physician Participation in a Multi-element Health Information and Data Exchange Program on Chronic Illness Medication Adherence.

BACKGROUND: The Primary Care Information Project (PCIP) includes a network of more than 10,000 physicians across New York City focusing on improving the quality of patient care through the use of health information technology and data exchange. METHODS: We assessed adherence, defined as the percentage with a medication possession ratio (MPR) ≥80%, across 2 time periods for union members whose primary care providers participated in the PCIP compared with those whose providers did not participate. Using prescription claims data from 2008 and 2011, the MPR was calculated for disease-specific categories of drugs among patients with diabetes, hypertension, and both conditions. RESULTS: Greater improvements in the number of adherent members were observed for the PCIP patients with diabetes who were taking diabetes-specific medications (odds ratio [OR], 2.03; 95% confidence interval [CI], 1.08-3.83 for PCIP, versus OR, 1.14; 95% CI, 0.81-1.60 for non-PCIP) and patients with diabetes who are taking lipid-controlling medications (OR, 1.64; 95% CI, 0.73-3.65 for PCIP versus OR, 0.85; 95% CI, 0.55-1.32 for non-PCIP). However, the magnitude and significance of these associations were diminished when practices providing reduced prescription co-pays were excluded from the analyses. CONCLUSION: Access to primary care providers participating in a public health initiative was associated with some improvement in medication adherence. However, reducing prescription co-pays may be a stronger factor for higher medication adherence among union members.

Designing a quality improvement program with electronic health records: New York City's Health eQuits.

Despite clear recommendations for identifying and intervening with smokers, clinical preventive practice is inconsistent in primary care. Use of electronic health records could facilitate improvement. Community health centers treating low-income and Medicaid recipients with greater smoking prevalence than the general population were recruited for a pilot program. Key design elements used to engage centers' participation include designating a project champion at each organization, confirming ability to transmit data for reporting and participation, and offering money to facilitate initial engagement; however, financial incentives did not motivate all organizations. Other methods to elicit participation and to motivate practice change included building on centers' previous experiences with similar programs, utilizing existing relationships with state cessation centers, and harnessing the "competitive" spirit-sharing both good news and areas for improvement to stimulate action. These experiences and observations may assist others in designing programs to improve clinical interventions with smokers.

Quality measure performance in small practices before and after electronic health record adoption.

INTRODUCTION: To date, little research has been published on the impact that the transition from paper-based record keeping to the use of electronic health records (EHR) has on performance on clinical quality measures. This study examines whether small, independent medical practices improved in their performance on nine clinical quality measures soon after adopting EHRs. METHODS: Data abstracted by manual review of paper and electronic charts for 6,007 patients across 35 small, primary care practices were used to calculate rates of nine clinical quality measures two years before and up to two years after EHR adoption. RESULTS: For seven measures, population-level performance rates did not change before EHR adoption. Rates of antithrombotic therapy and smoking status recorded increased soon after EHR adoption; increases in blood pressure control occurred later. Rates of hemoglobin A1c testing, BMI recorded, and cholesterol testing decreased before rebounding; smoking cessation intervention, hemoglobin A1c control and cholesterol control did not significantly change. DISCUSSION: The effect of EHR adoption on performance on clinical quality measures is mixed. To improve performance, practices may need to develop new workflows and adapt to different documentation methods after EHR adoption. CONCLUSIONS: In the short term, EHRs may facilitate documentation of information needed for improving the delivery of clinical preventive services. Policies and incentive programs intended to drive improvement should include in their timelines consideration of the complexity of clinical tasks and documentation needed to capture performance on measures when developing timelines, and should also include assistance with workflow redesign to fully integrate EHRs into medical practice.