Postpartum Family Planning in Pediatrics: A Survey of Parental Contraceptive Needs and Health Services Preferences.

OBJECTIVE: Infant well-child visits are increasingly being explored as opportunities to address parental postpartum health needs, including those related to reproductive health. To inform potential pediatric clinic-based interventions, this study assessed postpartum contraceptive needs and health services preferences. METHODS: We surveyed postpartum individuals attending 2 to 6-month well-child visits at three Northern California pediatric clinics (2019-20). We examined unmet contraceptive needs; the acceptability of contraceptive education, counseling, and provision at well-child visits; and sociodemographic and clinical correlates. We conducted univariate and multivariable regression modeling to assess associations between sociodemographic and clinical variables, the status of contraceptive needs, and acceptability measures. RESULTS: Study participants (n = 263) were diverse in terms of race and ethnicity (13% Asian, 9% Black, 37% Latinx, 12% Multi-racial or Other, 29% White), and socioeconomic status. Overall, 25% had unmet contraceptive needs. Unmet need was more common among participants who had delivered more recently, were multiparous, or reported ≥ 1 barrier to obtaining contraception; postpartum visit attendance, education, race, and ethnicity were not associated with unmet need. Most participants deemed the following acceptable in the pediatric clinic: receiving contraceptive information (85%), discussing contraception (86%), and obtaining a contraceptive method (81%). Acceptability of these services was greater among participants with unmet contraceptive needs, better self-rated health, and private insurance (all P < .05). CONCLUSIONS: A quarter of participants had unmet contraceptive needs beyond the early postpartum period. Most considered the pediatric clinic an acceptable place to address contraception, suggesting the pediatric clinic may be a suitable setting for interventions aiming to prevent undesired pregnancies and their sequelae.

Family Input for Quality and Safety (FIQS): Using mobile technology for in-hospital reporting from families and patients.

OBJECTIVE: Despite three decades of effort, ensuring inpatient safety remains elusive. Patients and family members are a potential source of safety observations, but systems gathering these are limited. Our goal was to test a system to gather safety observations from hospitalized patients and their family members via a real-time mobile health tool. METHODS: We developed a mobile-responsive website for reporting safety observations. We piloted the tool during June 2017-April 2018 on the medical-surgical unit of a children's hospital. Participants were English-speaking family members and patients ≥13 years. We sent a daily text with a website link. We assessed: (1) face validity by comparing observations to incident reporting (IR) criteria and to hospital IRs and (2) associations between the number of safety observations/100 patient-days and participant characteristics using Poisson regression. RESULTS: We enrolled 235 patients (43.8% of 537 reviewed for eligibility), resulting in 8.15 safety reports/100 patient-days, most frequently regarding medications (29% of reports) and communication (20% of reports). Fifty-one (40% of 125) met IR criteria; only one (1.1%) had been reported via the IR system. Latinx participants submitted fewer observations than White participants (3.9 vs. 10.1, p = .002); participants with more prior hospitalizations submitted more observations (p < .001). In adjusted analyses, including measures of preference in decision making, and patient activation, the difference between Latinx and White participants diminished substantially (6.4 vs. 11.3, p = .16). CONCLUSIONS: We demonstrated the feasibility of real-time patient and family-member technology-enabled safety observation reporting and elicited reports not otherwise identified. Variation in reporting may potentially exacerbate disparities in safety if not addressed.

Follow-Up After Asthma Emergency Department Visits and Its Relationship With Subsequent Asthma-Related Utilization.

OBJECTIVE: To assess the association between follow-up after an asthma-related emergency department (ED) visit and the likelihood of subsequent asthma-related ED utilization. METHODS: Using data from California Medicaid (2014-2016), and Vermont (2014-2016) and Massachusetts (2013-2015) all-payer claims databases, we identified asthma-related ED visits for patients ages 3 to 21. Follow-up was defined as a visit within 14 days with a primary care provider or an asthma specialist. OUTCOME: asthma-related ED revisit after the initial ED visit. Models included logistic regression to assess the relationship between 14-day follow-up and the outcome at 60 and 365 days, and mixed-effects negative binomial regression to assess the relationship between 14-day follow-up and repeated outcome events (# ED revisits/100 child-years). All models accounted for zip-code level clustering. RESULTS: There were 90,267 ED visits, of which 22.6% had 14-day follow-up. Patients with follow-up were younger and more likely to have commercial insurance, complex chronic conditions, and evidence of prior asthma. 14-day follow-up was associated with decreased subsequent asthma-related ED revisits at 60 days (5.7% versus 6.4%, P < .001) and at 365 days (25.0% versus 28.3%, P < 0.001). Similarly, 14-day follow-up was associated with a decrease in the rate of repeated subsequent ED revisits (66.7 versus 77.3 revisits/100 child-years; P < 0.001). CONCLUSIONS: We found a protective association between outpatient 14-day follow-up and asthma-related ED revisits. This may reflect improved asthma control as providers follow the NHLBI guideline stepwise approach. Our findings highlight an opportunity for improvement, with only 22.6% of those with asthma-related ED visits having 14-day follow-up.

Weekend Versus Weekday Asthma-Related Emergency Department Utilization.

OBJECTIVE: To assess variation in asthma-related emergency department (ED) use between weekends and weekdays. METHODS: Cross-sectional administrative claims-based analysis using California 2016 Medicaid data and Vermont 2016 and Massachusetts 2015 all-payer claims databases. We defined ED use as the rate of asthma-related ED visits per 100 child-years. A weekend visit was a visit on Saturday or Sunday, based on date of ED visit claim. We used negative binomial regression and robust standard errors to assess variation between weekend and weekday rates, overall and by age group. RESULTS: We evaluated data from 398,537 patients with asthma. The asthma-related ED visit rate was slightly lower on weekends (weekend: 18.7 [95% confidence interval (CI): 18.3-19.0], weekday: 19.6 [95% CI, 19.3-19.8], P < .001). When stratifying by age group, 3- to 5-year-olds had higher rates of asthma-related ED visits on weekends than weekdays (weekend: 33.7 [95% CI, 32.6-34.7], weekday: 29.8 [95% CI, 29.1-30.5], P < .001) and 12- to 17-year-olds had lower rates of ED visits on weekends than weekdays (weekend: 13.0 [95% CI: 12.5-13.4], weekday: 16.3 [95% CI: 15.9-16.7], P < .001). In the other age groups (6-11, 18-21 years) there were not statistically significant differences between weekend and weekday rates (P > .05). CONCLUSIONS: In this multistate analysis of children with asthma, we found limited overall variation in pediatric asthma-related ED utilization on weekends versus weekdays. These findings suggest that increasing access options during the weekend may not necessarily decrease asthma-related ED use.

Assessment of automated clinical trial recruitment and enrolment using patient-facing technology.

OBJECTIVE: Interactive patient care systems (IPCS) at the bedside are becoming increasingly common, but evidence is limited as to their potential for innovative clinical trial implementation. The objective of this study was to test the hypothesis that the IPCS could feasibly be used to automate recruitment and enrolment for a clinical trial. METHODS: In medical-surgical units, we used the IPCS to randomise, recruit and consent eligible subjects. For participants not interacting with IPCS study materials within 48 hours, study staff-initiated recruitment in-person. Eligible study population included all caregivers and any patients >6 years old admitted to medical-surgical units and oncology units September 2015 to January 2016. OUTCOMES: randomisation assessed using between-group comparisons of patient characteristics; recruitment success assessed by rates of consent; paperless implementation using successful acquisition of electronic signature and email address. We used χ2 analysis to assess success of randomisation and recruitment. RESULTS: Randomisation was successful (n=1012 randomised, p>0.05 for all between-group comparisons). For the subset of eligible, randomised patients who were recruited, IPCS-only recruitment (consented: 2.4% of n=213) was less successful than in-person recruitment (61.4% of n=87 eligible recruited, p<0.001). For those consenting (n=61), 96.7% provided an electronic signature and 68.9% provided email addresses. CONCLUSIONS: Our results suggest that as a tool at the bedside, the IPCS offers key efficiencies for study implementation, including randomisation and collecting e-consent and contact information, but does not offer recruitment efficiencies. Further research could assess the value that interactive technologies bring to recruitment when paired with in-person efforts, potentially focusing on more intensive user-interface testing for recruitment materials. TRIAL REGISTRATION NUMBER: NCT02491190.

Depression, Anxiety, and Emergency Department Use for Asthma.

BACKGROUND AND OBJECTIVES: Asthma is responsible for ∼1.7 million emergency department (ED) visits annually in the United States. Studies in adults have shown that anxiety and depression are associated with increased asthma-related ED use. Our objective was to assess this association in pediatric patients with asthma. METHODS: We identified patients aged 6 to 21 years with asthma in the Massachusetts All-Payer Claims Database for 2014 to 2015 using International Classification of Diseases, Ninth and 10th Revision codes. We examined the association between the presence of anxiety, depression, or comorbid anxiety and depression and the rate of asthma-related ED visits per 100 child-years using bivariate and multivariable analyses with negative binomial regression. RESULTS: Of 65 342 patients with asthma, 24.7% had a diagnosis of anxiety, depression, or both (11.2% anxiety only, 5.8% depression only, and 7.7% both). The overall rate of asthma-related ED use was 17.1 ED visits per 100 child-years (95% confidence interval [CI]: 16.7-17.5). Controlling for age, sex, insurance type, and other chronic illness, patients with anxiety had a rate of 18.9 (95% CI: 17.0-20.8) ED visits per 100 child-years, patients with depression had a rate of 21.7 (95% CI: 18.3-25.0), and patients with both depression and anxiety had a rate of 27.6 (95% CI: 24.8-30.3). These rates were higher than those of patients who had no diagnosis of anxiety or depression (15.5 visits per 100 child-years; 95% CI: 14.5-16.4; P < .001). CONCLUSIONS: Children with asthma and anxiety or depression alone, or comorbid anxiety and depression, have higher rates of asthma-related ED use compared with those without either diagnosis.

Hospital-Based Quality Measures for Pediatric Mental Health Care.

BACKGROUND AND OBJECTIVES: Patients with a primary mental health condition account for nearly 10% of pediatric hospitalizations nationally, but little is known about the quality of care provided for them in hospital settings. Our objective was to develop and test medical record-based measures used to assess quality of pediatric mental health care in the emergency department (ED) and inpatient settings. METHODS: We drafted an evidence-based set of pediatric mental health care quality measures for the ED and inpatient settings. We used the modified Delphi method to prioritize measures; 2 ED and 6 inpatient measures were operationalized and field-tested in 2 community and 3 children's hospitals. Eligible patients were 5 to 19 years old and diagnosed with psychosis, suicidality, or substance use from January 2012 to December 2013. We used bivariate and multivariate models to examine measure performance by patient characteristics and by hospital. RESULTS: Eight hundred and seventeen records were abstracted with primary diagnoses of suicidality (n = 446), psychosis (n = 321), and substance use (n = 50). Performance varied across measures. Among patients with suicidality, male patients (adjusted odds ratio: 0.27, P < .001) and African American patients (adjusted odds ratio: 0.31, P = .02) were less likely to have documentation of caregiver counseling on lethal means restriction. Among admitted suicidal patients, 27% had documentation of communication with an outside provider, with variation across hospitals (0%-38%; P < .001). There was low overall performance on screening for comorbid substance abuse in ED patients with psychosis (mean: 30.3). CONCLUSIONS: These new pediatric mental health care quality measures were used to identify sex and race disparities and substantial hospital variation. These measures may be useful for assessing and improving hospital-based pediatric mental health care quality.

Mental Health Conditions and Medical and Surgical Hospital Utilization.

OBJECTIVE: Mental health conditions are prevalent among children hospitalized for medical conditions and surgical procedures, but little is known about their influence on hospital resource use. The objectives of this study were to examine how hospitalization characteristics vary by presence of a comorbid mental health condition and estimate the association of a comorbid mental health condition with hospital length of stay (LOS) and costs. METHODS: Using the 2012 Kids' Inpatient Database, we conducted a retrospective, nationally representative, cross-sectional study of 670 161 hospitalizations for 10 common medical and 10 common surgical conditions among 3- to 20-year-old patients. Associations between mental health conditions and hospital LOS were examined using adjusted generalized linear models. Costs of additional hospital days associated with mental health conditions were estimated using hospital cost-to-charge ratios. RESULTS: A comorbid mental health condition was present in 13.2% of hospitalizations. A comorbid mental health condition was associated with a LOS increase of 8.8% (from 2.5 to 2.7 days, P < .001) for medical hospitalizations and a 16.9% increase (from 3.6 to 4.2 days, P < .001) for surgical hospitalizations. For hospitalizations in this sample, comorbid mental health conditions were associated with an additional 31 729 (95% confidence interval: 29 085 to 33 492) hospital days and $90 million (95% confidence interval: $81 to $101 million) in hospital costs. CONCLUSIONS: Medical and surgical hospitalizations with comorbid mental health conditions were associated with longer hospital stay and higher hospital costs. Knowledge about the influence of mental health conditions on pediatric hospital utilization can inform clinical innovation and case-mix adjustment.

Psychiatric Disorders and Trends in Resource Use in Pediatric Hospitals.

OBJECTIVE: To describe recent, 10-year trends in pediatric hospital resource use with and without a psychiatric diagnosis and examine how these trends vary by type of psychiatric and medical diagnosis cooccurrence. METHODS: A retrospective, longitudinal cohort analysis using hospital discharge data from 33 tertiary care US children's hospitals of patients ages 3 to 17 years from January 1, 2005 through December 31, 2014. The trends in hospital discharges, hospital days, and total aggregate costs for each psychiatric comorbid group were assessed by using multivariate generalized estimating equations. RESULTS: From 2005 to 2014, the cumulative percent growth in resource use was significantly (all P < .001) greater for children hospitalized with versus without a psychiatric diagnosis (hospitalizations: +137.7% vs +26.0%; hospital days: +92.9% vs 5.9%; and costs: +142.7% vs + 18.9%). During this time period, the most substantial growth was observed in children admitted with a medical condition who also had a cooccurring psychiatric diagnosis (hospitalizations: +160.5%; hospital days: +112.4%; costs: +156.2%). In 2014, these children accounted for 77.8% of all hospitalizations for children with a psychiatric diagnosis; their most common psychiatric diagnoses were developmental disorders (22.3%), attention-deficit/hyperactivity disorder (18.1%), and anxiety disorders (14.2%). CONCLUSIONS: The 10-year rise in pediatric hospitalizations in US children's hospitals is 5 times greater for children with versus without a psychiatric diagnosis. Strategic planning to meet the rising demand for psychiatric care in tertiary care children's hospitals should place high priority on the needs of children with a primary medical condition and cooccurring psychiatric disorders.

From the closest observers of patient care: a thematic analysis of online narrative reviews of hospitals.

OBJECTIVE: Patient-centred care has become a priority in many countries. It is unknown whether current tools capture aspects of care patients and their surrogates consider important. We investigated whether online narrative reviews from patients and surrogates reflect domains in the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) and we described additional potential domains. DESIGN: We used thematic analysis to assess online narrative reviews for reference to HCAHPS domains and salient non-HCAHPS domains and compared results by reviewer type (patient vs surrogate). SETTING: We identified hospitals for review from the American Hospital Association database using a stratified random sampling approach. This approach ensured inclusion of reviews of a diverse set of hospitals. We searched online in February 2013 for narrative reviews from any source for each hospital. PARTICIPANTS: We included up to two narrative reviews for each hospital. EXCLUSIONS: Outpatient or emergency department reviews, reviews from self-identified hospital employees, or reviews of <10 words. RESULTS: 50.0% (n=122) of reviews (N=244) were from patients and 38.1% (n=93) from friends or family members. Only 57.0% (n=139) of reviews mentioned any HCAHPS domain. Additional salient domains were: Financing, including unexpected out-of-pocket costs and difficult interactions with billing departments; system-centred care; and perceptions of safety. These domains were mentioned in 51.2% (n=125) of reviews. Friends and family members commented on perceptions of safety more frequently than patients. CONCLUSIONS: A substantial proportion of consumer reviews do not mention HCAHPS domains. Surrogates appear to observe care differently than patients, particularly around safety.

Revisit rates and associated costs after an emergency department encounter: a multistate analysis.

BACKGROUND: Return visits to the emergency department (ED) or hospital after an index ED visit strain the health system, but information about rates and determinants of revisits is limited. OBJECTIVE: To describe revisit rates, variation in revisit rates by diagnosis and state, and associated costs. DESIGN: Observational study using the Healthcare Cost and Utilization Project databases. SETTING: 6 U.S. states. PATIENTS: Adults with ED visits between 2006 and 2010. MEASUREMENTS: Revisit rates and costs. RESULTS: Within 3 days of an index ED visit, 8.2% of patients had a revisit; 32% of those revisits occurred at a different institution. Revisit rates varied by diagnosis, with skin infections having the highest rate (23.1% [95% CI, 22.3% to 23.9%]). Revisit rates also varied by state. For skin infections, Florida had higher risk-adjusted revisit rates (24.8% [CI, 23.5% to 26.2%]) than Nebraska (10.6% [CI, 9.2% to 12.1%]). In Florida, the only state with complete cost data, total revisit costs for the 19.8% of patients with a revisit within 30 days were 118% of total index ED visit costs for all patients (including those with and without a revisit). LIMITATION: Whether a revisit reflects inadequate access to primary care, a planned revisit, the patient's nonadherence to ED recommendations, or poor-quality care at the initial ED visit remains unknown. CONCLUSION: Revisits after an index ED encounter are more frequent than previously reported, in part because many occur outside the index institution. Among ED patients in Florida, more resources are spent on revisits than on index ED visits. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality.

Sources of traffic and visitors' preferences regarding online public reports of quality: web analytics and online survey results.

BACKGROUND: In the context of the Affordable Care Act, there is extensive emphasis on making provider quality transparent and publicly available. Online public reports of quality exist, but little is known about how visitors find reports or about their purpose in visiting. OBJECTIVE: To address this gap, we gathered website analytics data from a national group of online public reports of hospital or physician quality and surveyed real-time visitors to those websites. METHODS: Websites were recruited from a national group of online public reports of hospital or physician quality. Analytics data were gathered from each website: number of unique visitors, method of arrival for each unique visitor, and search terms resulting in visits. Depending on the website, a survey invitation was launched for unique visitors on landing pages or on pages with quality information. Survey topics included type of respondent (eg, consumer, health care professional), purpose of visit, areas of interest, website experience, and demographics. RESULTS: There were 116,657 unique visitors to the 18 participating websites (1440 unique visitors/month per website), with most unique visitors arriving through search (63.95%, 74,606/116,657). Websites with a higher percent of traffic from search engines garnered more unique visitors (P=.001). The most common search terms were for individual hospitals (23.25%, 27,122/74,606) and website names (19.43%, 22,672/74,606); medical condition terms were uncommon (0.81%, 605/74,606). Survey view rate was 42.48% (49,560/116,657 invited) resulting in 1755 respondents (participation rate=3.6%). There were substantial proportions of consumer (48.43%, 850/1755) and health care professional respondents (31.39%, 551/1755). Across websites, proportions of consumer (21%-71%) and health care professional respondents (16%-48%) varied. Consumers were frequently interested in using the information to choose providers or assess the quality of their provider (52.7%, 225/427); the majority of those choosing a provider reported that they had used the information to do so (78%, 40/51). Health care professional (26.6%, 115/443) and consumer (20.8%, 92/442) respondents wanted cost information and consumers wanted patient narrative comments (31.5%, 139/442) on the public reports. Health care professional respondents rated the experience on the reports higher than consumers did (mean 7.2, SD 2.2 vs mean 6.2, SD 2.7; scale 0-10; P<.001). CONCLUSIONS: Report sponsors interested in increasing the influence of their reports could consider using techniques to improve search engine traffic, providing cost information and patient comments, and improving the website experience for both consumers and health care professionals.

Preoperative medical testing in Medicare patients undergoing cataract surgery.

BACKGROUND: Routine preoperative testing is not recommended for patients undergoing cataract surgery, because testing neither decreases adverse events nor improves outcomes. We sought to assess adherence to this guideline, estimate expenditures from potentially unnecessary testing, and identify patient and health care system characteristics associated with potentially unnecessary testing. METHODS: Using an observational cohort of Medicare beneficiaries undergoing cataract surgery in 2011, we determined the prevalence and cost of preoperative testing in the month before surgery. We compared the prevalence of preoperative testing and office visits with the mean percentage of beneficiaries who underwent tests and had office visits during the preceding 11 months. Using multivariate hierarchical analyses, we examined the relationship between preoperative testing and characteristics of patients, health system characteristics, surgical setting, care team, and occurrence of a preoperative office visit. RESULTS: Of 440,857 patients, 53% had at least one preoperative test in the month before surgery. Expenditures on testing during that month were $4.8 million higher and expenditures on office visits $12.4 million higher (42% and 78% higher, respectively) than the mean monthly expenditures during the preceding 11 months. Testing varied widely among ophthalmologists; 36% of ophthalmologists ordered preoperative tests for more than 75% of their patients. A patient's probability of undergoing testing was associated mainly with the ophthalmologist who managed the preoperative evaluation. CONCLUSIONS: Preoperative testing before cataract surgery occurred frequently and was more strongly associated with provider practice patterns than with patient characteristics. (Funded by the Foundation for Anesthesia Education and Research and the Grove Foundation.).

Thirty-day hospital readmissions in systemic lupus erythematosus: predictors and hospital- and state-level variation.

OBJECTIVE: Systemic lupus erythematosus (SLE) has one of the highest hospital readmission rates among chronic conditions. This study was undertaken to identify patient-level, hospital-level, and geographic predictors of 30-day hospital readmissions associated with SLE. METHODS: Using hospital discharge databases from 5 geographically dispersed states, we studied all-cause readmission of SLE patients between 2008 and 2009. We evaluated each hospitalization as a possible index event leading up to a readmission, our primary outcome. We accounted for clustering of hospitalizations within patients and within hospitals and adjusted for hospital case mix. Using multilevel mixed-effects logistic regression, we examined factors associated with 30-day readmission and calculated risk-standardized hospital-level and state-level readmission rates. RESULTS: We examined 55,936 hospitalizations among 31,903 patients with SLE. Of these hospitalizations, 9,244 (16.5%) resulted in readmission within 30 days. In adjusted analyses, age was inversely related to risk of readmission. African American and Hispanic patients were more likely to be readmitted than white patients, as were those with Medicare or Medicaid insurance (versus private insurance). Several clinical characteristics of lupus, including nephritis, serositis, and thrombocytopenia, were associated with readmission. Readmission rates varied significantly between hospitals after accounting for patient-level clustering and hospital case mix. We also found geographic variation, with risk-adjusted readmission rates lower in New York and higher in Florida as compared to California. CONCLUSION: We found that ~1 in 6 hospitalized patients with SLE were readmitted within 30 days of discharge, with higher rates among historically underserved populations. Significant geographic and hospital-level variation in risk-adjusted readmission rates suggests potential for quality improvement.

Common and costly hospitalizations for pediatric mental health disorders.

BACKGROUND AND OBJECTIVES: Inpatient pediatric mental health is a priority topic for national quality measurement and improvement, but nationally representative data on the patients admitted or their diagnoses are lacking. Our objectives were: to describe pediatric mental health hospitalizations at general medical facilities admitting children nationally; to assess which pediatric mental health diagnoses are frequent and costly at these hospitals; and to examine whether the most frequent diagnoses are similar to those at free-standing children's hospitals. METHODS: We examined all discharges in 2009 for patients aged 3 to 20 years in the nationally representative Kids' Inpatient Database (KID) and in the Pediatric Health Information System (free-standing children's hospitals). Main outcomes were frequency of International Classification of Diseases, Ninth Revision, Clinical Modification-defined mental health diagnostic groupings (primary and nonprimary diagnosis) and, using KID, resource utilization (defined by diagnostic grouping aggregate annual charges). RESULTS: Nearly 10% of pediatric hospitalizations nationally were for a primary mental health diagnosis, compared with 3% of hospitalizations at free-standing children's hospitals. Predictors of hospitalizations for a primary mental health problem were older age, male gender, white race, and insurance type. Nationally, the most frequent and costly primary mental health diagnoses were depression (44.1% of all mental health admissions; $1.33 billion), bipolar disorder (18.1%; $702 million), and psychosis (12.1%; $540 million). CONCLUSIONS: We identified the child mental health inpatient diagnoses with the highest frequency and highest costs as depression, bipolar disorder, and psychosis, with substance abuse an important comorbid diagnosis. These diagnoses can be used as priority conditions for pediatric mental health inpatient quality measurement.

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.

Small practices' experience with EHR, quality measurement, and incentives.

OBJECTIVES: To assess clinician attitudes and experiences in Health eHearts, a quality recognition and financial incentive program using health information technology. STUDY DESIGN: Survey of physicians. METHODS: A survey was administered to 140 lead clinicians at each participating practice. Survey domains included clinicians' experiences and attitudes toward the selected clinical quality measures focused on cardiovascular care, use of electronic health records (EHRs), technical assistance visits, quality measurement reports, and incentive payments. Responses were compared across groups of practices receiving financial incentives with those in the control (no financial rewards). RESULTS: Survey response rate was 74%. The majority of respondents reported receiving and reviewing the quality reports (89%), agreed with the prioritization of measures (89%), and understood the information given in the quality reports (95%). Over half of the respondents had a quality improvement visit (56%), with incentive clinicians more likely to have had a visit compared with the control group (68% vs 43%, P = .01). The incentive group respondents (92%) were more likely to report using clinical decision support system alerts than control group respondents (82%, P = .11). CONCLUSIONS: Clinicians in both incentive and control groups reported positive experiences with the program. No differences were detected between groups regarding agreement with selected clinical measures or their relevance to the patient population. However, clinicians in the incentive group were more likely to review quarterly performance reports and access quality improvement visits. Incentives may be used to further engage clinicians operating in small independently owned practices to participate in quality improvement activities.

The unintended consequences of quality improvement.

PURPOSE OF REVIEW: The focus on quality improvement has led to several types of initiatives in pediatric care; however, these programs may lead to potential unintended consequences. RECENT FINDINGS: Unintended consequences of quality improvement programs that have been described are reviewed. Unintended effects on resource utilization include effects on costs, as well as the inability to apply programs across different populations and affect disparities in care. Unintended effects on provider behavior include measurement fixation behavior, as well as 'crowding out' behavior, in which gains in quality in one area may simply occur at the expense of quality of care in another. Patient preferences may not always match specific quality improvement measures. Unintended effects for patients may include decreased patient satisfaction, trust, or confidence in their provider. SUMMARY: Recognition and anticipation of the possible unintended consequences of guideline implementation is a critical step to harnessing all the benefits of quality improvement in practice.

Regionalization of treatment for subarachnoid hemorrhage: a cost-utility analysis.

BACKGROUND: Previous studies have shown that for the treatment of subarachnoid hemorrhage (SAH), outcomes are improved but costs are higher at hospitals with a high volume of admissions for SAH. Whether regionalization of care for SAH is cost-effective is unknown. METHODS AND RESULTS: In a cost-utility analysis, health outcomes for patients with SAH were modeled for 2 scenarios: 1 representing the current practice in California in which most patients with SAH are treated at the closest hospital and 1 representing the regionalization of care in which patients at hospitals with <20 SAH admissions annually (low volume) would be transferred to hospitals with > or =20 SAH admissions annually (high volume). Using a Markov model, we compared net quality-adjusted life-years (QALYs) and cost per QALY. Inputs were chosen from the literature and derived from a cohort study in California. Transferring a patient with SAH from a low- to a high-volume hospital would result in a gain of 1.60 QALYs at a cost of 10,548 dollars/QALY. For transfer to result in only borderline cost-effectiveness (50,000 dollars/QALY), differences in case fatality rates between low- and high-volume hospitals would have to be one fifth as large (2.2%) or risk of death during transfer would have to be 5 times greater (9.8%) than estimated in the base case. CONCLUSIONS: Transfer of patients with SAH from low- to high-volume hospitals appears to be cost-effective, and regionalization of care may be justified. However, current estimates of the impact of hospital volume on outcome require confirmation in more detailed cohort studies.