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BackgroundThis study utilizes interviews of clinical medical physicists to investigate self-reported shortcomings of the current weekly chart check workflow and opportunities for improvement.MethodsNineteen medical physicists were recruited for a 30-minute semi-structured interview, with a particular focus placed on image review and the use of automated tools for image review in weekly checks. Survey-type questions were used to gather quantitative information about chart check practices and importance placed on reducing chart check workloads versus increasing chart check effectiveness. Open-ended questions were used to probe respondents about their current weekly chart check workflow, opinions of the value of weekly chart checks and perceived shortcomings, and barriers and facilitators to the implementation of automated chart check tools. Thematic analysis was used to develop common themes across the interviews.ResultsPhysicists ranked highly the value of reducing the time spent on weekly chart checks (average 6.3 on a scale from 1 to 10), but placed more value on increasing the effectiveness of checks with an average of 9.2 on a 1-10 scale. Four major themes were identified: (1) weekly chart checks need to adapt to an electronic record-and-verify chart environment, (2) physicists could add value to patient care by analyzing images without duplicating the work done by physicians, (3) greater support for trending analysis is needed in weekly checks, and (4) automation has the potential to increase the value of physics checks.ConclusionThis study identified several key shortcomings of the current weekly chart check process from the perspective of the clinical medical physicist. Our results show strong support for automating components of the weekly check workflow in order to allow for more effective checks that emphasize follow-up, trending, failure modes and effects analysis, and allow time to be spent on other higher value tasks that improve patient safety.

Studies conflict about whether language discordance increases rates of hospital readmissions or emergency department (ED) revisits for adult and paediatric patients. The literature was systematically reviewed to investigate the association between language discordance and hospital readmission and ED revisit rates.Searches were performed in PubMed, Embase and Google Scholar on 21 January 2021, and updated on 27 October 2022. No date or language limits were used.Articles that (1) were peer-reviewed publications; (2) contained data about patient or parental language skills and (3) included either unplanned hospital readmission or ED revisit as one of the outcomes, were screened for inclusion. Articles were excluded if: unavailable in English; contained no primary data or inaccessible in a full-text form (eg, abstract only).Two reviewers independently extracted data using Preferred Reporting Items for Systematic Reviews and Meta-Analyses-extension for scoping reviews guidelines. We used the Newcastle-Ottawa Scale to assess data quality. Data were pooled using DerSimonian and Laird random-effects models. We performed a meta-analysis of 18 adult studies for 28-day or 30-day hospital readmission; 7 adult studies of 30-day ED revisits and 5 paediatric studies of 72-hour or 7-day ED revisits. We also conducted a stratified analysis by whether access to interpretation services was verified/provided for the adult readmission analysis.Odds of hospital readmissions within a 28-day or 30-day period and ED revisits within a 7-day period.We generated 4830 citations from all data sources, of which 49 (12 paediatric; 36 adult; 1 with both adult and paediatric) were included. In our meta-analysis, language discordant adult patients had increased odds of hospital readmissions (OR 1.11, 95% CI 1.04 to 1.18). Among the 4 studies that verified interpretation services for language discordant patient-clinician interactions, there was no difference in readmission (OR 0.90, 95% CI 0.77 to 1.05), while studies that did not specify interpretation service access/use found higher odds of readmission (OR 1.14, 95% CI 1.06 to 1.22). Adult patients with a non-dominant language preference had higher odds of ED revisits (OR 1.07, 95% CI 1.004 to 1.152) compared with adults with a dominant language preference. In 5 paediatric studies, children of parents language discordant with providers had higher odds of ED revisits at 72 hours (OR 1.12, 95% CI 1.05 to 1.19) and 7 days (OR 1.02, 95% CI 1.01 to 1.03) compared with patients whose parents had language concordant communications.Adult patients with a non-dominant language preference have more hospital readmissions and ED revisits, and children with parents who have a non-dominant language preference have more ED revisits. Providing interpretation services may mitigate the impact of language discordance and reduce hospital readmissions among adult patients.CRD42022302871.

ObjectiveInfant 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.MethodsWe 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.ResultsStudy 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

BackgroundThe Centers for Disease Control and Prevention and the American Academy of Pediatrics recommend that symptomatic children remain home and get tested to identify potential coronavirus disease 2019 (COVID-19) cases. As the pandemic moves into a new phase, approaches to differentiate symptoms of COVID-19 versus other childhood infections can inform exclusion policies and potentially prevent future unnecessary missed school days.MethodsRetrospective analysis of standardized symptom and exposure screens in symptomatic children 0-18 years tested for SARS-CoV-2 at three outpatient sites April to November 2020. Likelihood ratios (LR), number needed to screen to identify one COVID-19 case, and estimated missed school days were calculated.ResultsOf children studied (N = 2,167), 88.9% tested negative. Self-reported exposure to COVID-19 was the only factor that statistically significantly increased the likelihood of a positive test for all ages (Positive LR, 5-18 year olds: 5.26, 95% confidence interval (CI): 4.37-6.33; 0-4 year olds: 5.87, 95% CI: 4.67-7.38). Across ages 0-18, nasal congestion/rhinorrhea, sore throat, abdominal pain, and nausea/vomiting/diarrhea were commonly reported, and were either not associated or had decreased association with testing positive for COVID-19. The number of school days missed to identify one case of COVID-19 ranged from 19 to 48 across those common symptoms.ConclusionsWe present an approach for identifying symptoms that are non-specific to COVID-19, for which exclusion would likely lead to limited impact on school safety but contribute to school-days missed. As variants and symptoms evolve, students and schools could benefit from reconsideration of exclusion and testing policies for non-specific symptoms, while maintaining testing for those who were exposed.

ObjectiveTo develop and test a new quality measure assessing timeliness of follow-up mental health care for youth presenting to the emergency department (ED) with suicidal ideation or self-harm.MethodsBased on a conceptual framework, evidence review, and a modified Delphi process, we developed a quality measure assessing whether youth 5 to 17 years old evaluated for suicidal ideation or self-harm in the ED and discharged to home had a follow-up mental health care visit within 7 days. The measure was tested in 4 geographically dispersed states (California, Pennsylvania, South Carolina, Tennessee) using Medicaid administrative data. We examined measure feasibility of implementation, variation, reliability, and validity. To test validity, adjusted regression models examined associations between quality measure scores and subsequent all-cause and same-cause hospital readmissions/ED return visits.ResultsOverall, there were 16,486 eligible ED visits between September 1, 2014 and July 31, 2016; 53.5% of eligible ED visits had an associated mental health care follow-up visit within 7 days. Measure scores varied by state, ranging from 26.3% to 66.5%, and by youth characteristics: visits by youth who were non-White, male, and living in an urban area were significantly less likely to be associated with a follow-up visit within 7 days. Better quality measure performance was not associated with decreased reutilization.ConclusionsThis new ED quality measure may be useful for monitoring and improving the quality of care for this vulnerable population; however, future work is needed to establish the measure's predictive validity using more prevalent outcomes such as recurrence of suicidal ideation or deliberate self-harm.

School closures may reduce the size of social networks among children, potentially limiting infectious disease transmission. To estimate the impact of K-12 closures and reopening policies on children's social interactions and COVID-19 incidence in California's Bay Area, we collected data on children's social contacts and assessed implications for transmission using an individual-based model. Elementary and Hispanic children had more contacts during closures than high school and non-Hispanic children, respectively. We estimated that spring 2020 closures of elementary schools averted 2167 cases in the Bay Area (95% CI: -985, 5572), fewer than middle (5884; 95% CI: 1478, 11.550), high school (8650; 95% CI: 3054, 15 940) and workplace (15 813; 95% CI: 9963, 22 617) closures. Under assumptions of moderate community transmission, we estimated that reopening for a four-month semester without any precautions will increase symptomatic illness among high school teachers (an additional 40.7% expected to experience symptomatic infection, 95% CI: 1.9, 61.1), middle school teachers (37.2%, 95% CI: 4.6, 58.1) and elementary school teachers (4.1%, 95% CI: -1.7, 12.0). However, we found that reopening policies for elementary schools that combine universal masking with classroom cohorts could result in few within-school transmissions, while high schools may require masking plus a staggered hybrid schedule. Stronger community interventions (e.g. remote work, social distancing) decreased the risk of within-school transmission across all measures studied, with the influence of community transmission minimized as the effectiveness of the within-school measures increased.

Sickle cell disease is a complex chronic disorder associated with increased morbidity and early mortality. The Pediatric Quality Measures Program has developed new sickle cell-specific quality measures focused on hydroxyurea (HU) counseling and annual transcranial Doppler (TCD) screening; however, these measures have not been used in a clinical setting to inform quality improvement (QI) efforts.MethodsFrom 2017 to 2018, 9 sickle cell subspecialty clinics from the Pacific Sickle Cell Regional Collaborative conducted a year-long QI collaborative focused on improving the percentage of patients with HU counseling and TCD screening based on the new quality measures. After an initial kick-off meeting, the 9 sites participated in monthly conference calls. We used run charts annotated with plan-do-study-act cycle activities to track each site's monthly progress and the overall mean percentage for the entire collaborative.ResultsThere was an overall improvement in the aggregate HU counseling from 85% to 98% (P < 0.01). For TCD screening, referral frequency changed from 85% to 90% (P = 0.76). For both measures, the variation in frequencies decreased over the year.ConclusionOver 1 year, we found that a regional QI collaborative increased HU counseling. Although referral for TCD screening increased, there was no overall change in TCD completion. Overall, this QI report's findings can help clinicians adopt and implement these quality measures to improve outcomes in children.

ObjectiveInteractive 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.MethodsIn 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.Outcomesrandomisation 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.ResultsRandomisation 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

National guidelines recommend that providers counsel all patients with sickle cell anemia about hydroxyurea (HU) therapy and screen children with sickle cell anemia annually for the risk of stroke with transcranial Doppler (TCD). We surveyed a national convenience sample of sickle cell disease clinicians to assess factors associated with low adherence. Adherence was 46% for TCD screening. Low adherence was associated with a lack of outcome expectancy (eg, a belief that there would be poor patient follow-up to TCD testing; P < .05). Adherence was 72% for HU counseling. Practice barriers (eg, lack of support staff or time) and a lack of agreement with HU recommendations were associated with low adherence (P < .05). This study demonstrates that different types of strategies are needed to improve TCD screening (to address follow-up and access to testing) versus HU counseling (to address physician agreement and practice barriers).

Background and objectivesPatients 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.MethodsWe 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.ResultsEight 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).ConclusionsThese 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 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. 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. 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. 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.

Background and objective Studies conflict about whether language discordance increases rates of hospital readmissions or emergency department (ED) revisits for adult and paediatric patients. The literature was systematically reviewed to investigate the association between language discordance and hospital readmission and ED revisit rates. Data sources Searches were performed in PubMed, Embase and Google Scholar on 21 January 2021, and updated on 27 October 2022. No date or language limits were used. Study selection Articles that (1) were peer-reviewed publications; (2) contained data about patient or parental language skills and (3) included either unplanned hospital readmission or ED revisit as one of the outcomes, were screened for inclusion. Articles were excluded if: unavailable in English; contained no primary data or inaccessible in a full-text form (eg, abstract only). Data extraction and synthesis Two reviewers independently extracted data using Preferred Reporting Items for Systematic Reviews and Meta-Analyses-extension for scoping reviews guidelines. We used the Newcastle- Ottawa Scale to assess data quality. Data were pooled using DerSimonian and Laird random-effects models. We performed a meta-analysis of 18 adult studies for 28-day or 30-day hospital readmission; 7 adult studies of 30-day ED revisits and 5 paediatric studies of 72-hour or 7-day ED revisits. We also conducted a stratified analysis by whether access to interpretation services was verified/provided for the adult readmission analysis. Main outcome(s) and measure(s) Odds of hospital readmissions within a 28-day or 30-day period and ED revisits within a 7-day period. Results We generated 4830 citations from all data sources, of which 49 (12 paediatric; 36 adult; 1 with both adult and paediatric) were included. In our meta-analysis, language discordant adult patients had increased odds of hospital readmissions (OR 1.11, 95% CI 1.04 to 1.18). Among the 4 studies that verified interpretation services for language discordant patient-clinician interactions, there was no difference in readmission (OR 0.90, 95% CI 0.77 to 1.05), while studies that did not specify interpretation service access/use found higher odds of readmission (OR 1.14, 95% CI 1.06 to 1.22). Adult patients with a non-dominant language preference had higher odds of ED revisits (OR 1.07, 95% CI 1.004 to 1.152) compared with adults with a dominant language preference. In 5 paediatric studies, children of parents language discordant with providers had higher odds of ED revisits at 72 hours (OR 1.12, 95% CI 1.05 to 1.19) and 7 days (OR 1.02, 95% CI 1.01 to 1.03) compared with patients whose parents had language concordant communications. Discussion Adult patients with a non-dominant language preference have more hospital readmissions and ED revisits, and children with parents who have a non-dominant language preference have more ED revisits. Providing interpretation services may mitigate the impact of language discordance and reduce hospital readmissions among adult patients. [ABSTRACT FROM AUTHOR]

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. 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. 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%). 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.

ObjectivePatient-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.DesignWe 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).SettingWe 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.ParticipantsWe included up to two narrative reviews for each hospital.ExclusionsOutpatient or emergency department reviews, reviews from self-identified hospital employees, or reviews of

ImportanceCommercial virtual visits are an increasingly popular model of health care for the management of common acute illnesses. In commercial virtual visits, patients access a website to be connected synchronously-via videoconference, telephone, or webchat-to a physician with whom they have no prior relationship. To date, whether the care delivered through those websites is similar or quality varies among the sites has not been assessed.ObjectiveTo assess the variation in the quality of urgent health care among virtual visit companies.Design, setting, and participantsThis audit study used 67 trained standardized patients who presented to commercial virtual visit companies with the following 6 common acute illnesses: ankle pain, streptococcal pharyngitis, viral pharyngitis, acute rhinosinusitis, low back pain, and recurrent female urinary tract infection. The 8 commercial virtual visit websites with the highest web traffic were selected for audit, for a total of 599 visits. Data were collected from May 1, 2013, to July 30, 2014, and analyzed from July 1, 2014, to September 1, 2015.Main outcomes and measuresCompleteness of histories and physical examinations, the correct diagnosis (vs an incorrect or no diagnosis), and adherence to guidelines of key management decisions.ResultsSixty-seven standardized patients completed 599 commercial virtual visits during the study period. Histories and physical examinations were complete in 417 visits (69.6%; 95% CI, 67.7%-71.6%); diagnoses were correctly named in 458 visits (76.5%; 95% CI, 72.9%-79.9%), and key management decisions were adherent to guidelines in 325 visits (54.3%; 95% CI, 50.2%-58.3%). Rates of guideline-adherent care ranged from 206 visits (34.4%) to 396 visits (66.1%) across the 8 websites. Variation across websites was significantly greater for viral pharyngitis and acute rhinosinusitis (adjusted rates, 12.8% to 82.1%) than for streptococcal pharyngitis and low back pain (adjusted rates, 74.6% to 96.5%) or ankle pain and recurrent urinary tract infection (adjusted rates, 3.4% to 40.4%). No statistically significant variation in guideline adherence by mode of communication (videoconference vs telephone vs webchat) was found.Conclusions and relevanceSignificant variation in quality was found among companies providing virtual visits for management of common acute illnesses. More variation was found in performance for some conditions than for others, but no variation by mode of communication.

BackgroundIn 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.ObjectiveTo 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.MethodsWebsites 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.ResultsThere 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

BackgroundRoutine 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.MethodsUsing 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.ResultsOf 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.ConclusionsPreoperative 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.).

ObjectiveSystemic 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.MethodsUsing 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.ResultsWe 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.ConclusionWe 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.

BackgroundExisting risk adjustment models for intensive care unit (ICU) outcomes rely on manual abstraction of patient-level predictors from medical charts. Developing an automated method for abstracting these data from free text might reduce cost and data collection times.ObjectiveTo develop a support vector machine (SVM) classifier capable of identifying a range of procedures and diagnoses in ICU clinical notes for use in risk adjustment.Materials and methodsWe selected notes from 2001-2008 for 4191 neonatal ICU (NICU) and 2198 adult ICU patients from the MIMIC-II database from the Beth Israel Deaconess Medical Center. Using these notes, we developed an implementation of the SVM classifier to identify procedures (mechanical ventilation and phototherapy in NICU notes) and diagnoses (jaundice in NICU and intracranial hemorrhage (ICH) in adult ICU). On the jaundice classification task, we also compared classifier performance using n-gram features to unigrams with application of a negation algorithm (NegEx).ResultsOur classifier accurately identified mechanical ventilation (accuracy=0.982, F1=0.954) and phototherapy use (accuracy=0.940, F1=0.912), as well as jaundice (accuracy=0.898, F1=0.884) and ICH diagnoses (accuracy=0.938, F1=0.943). Including bigram features improved performance on the jaundice (accuracy=0.898 vs 0.865) and ICH (0.938 vs 0.927) tasks, and outperformed NegEx-derived unigram features (accuracy=0.898 vs 0.863) on the jaundice task.DiscussionOverall, a classifier using n-gram support vectors displayed excellent performance characteristics. The classifier generalizes to diverse patient populations, diagnoses, and procedures.ConclusionsSVM-based classifiers can accurately identify procedure status and diagnoses among ICU patients, and including n-gram features improves performance, compared to existing methods.

ObjectivesThis study aimed to estimate the incidence of emergency department (ED) visits in the neonatal period in a nationally representative sample and to examine variation by race.MethodsThe National Hospital Ambulatory Medical Care Survey is a nationally representative survey of utilization of ambulatory care services including EDs. We studied all ED visits for patients who were younger than 28 days old from 2003 to 2008. Using the national birth certificate data, we calculated the visit rates by race. Emergency department visits were also characterized by age, insurance status, diagnosis category, region, and hospital type (safety-net vs non-safety-net hospitals).ResultsThere was an average of 320,540 neonatal ED visits in the United States per year, with an estimated 7.6% of births visiting the ED within 28 days. Estimated rates of ED visits were highest among non-Hispanic blacks, with 14.4% (95% confidence interval [CI], 10.0-19.2) of newborns having an ED visit in the neonatal period, compared with 6.7% (95% CI, 4.9-7.2) for whites and 7.7% (95% CI, 5.7-9.8) for Hispanics. Hispanic and black neonates were more likely to be seen in safety-net hospitals (75.8%-78.2%) than white (57.1%) patients (P = 0.004).ConclusionsIn this first nationally representative study of neonatal visits to the ED, visits were common, with the highest rates in non-Hispanic blacks. Hispanic and black neonates were more commonly seen in safety-net hospitals. Reasons for high visit rates deserve further study to determine whether hospital discharge practices and/or access to primary care are contributing factors.

Background and objectivesNational guidelines have recommended against codeine use in children, but little is known about prescribing patterns in the United States. Our objectives were to assess changes over time in pediatric codeine prescription rates in emergency departments nationally and to determine factors associated with codeine prescription.MethodsWe performed a serial cross-sectional analysis (2001-2010) of emergency department visits for patients ages 3 to 17 years in the nationally representative National Hospital Ambulatory Medical Care Survey. We determined survey-weighted annual rates of codeine prescriptions and tested for linear trends over time. We used multivariate logistic regression to identify characteristics associated with codeine prescription and interrupted time-series analysis to assess changes in prescriptions for upper respiratory infection (URI) or cough associated with two 2006 national guidelines recommending against its use for these indications.ResultsThe proportion of visits (N = 189 million) with codeine prescription decreased from 3.7% to 2.9% during the study period (P = .008). Odds of codeine prescription were higher for children ages 8 to 12 years (odds ratio [OR], 1.42; 95% confidence interval [1.21-1.67]) and among providers outside the northeast. Odds were lower for children who were non-Hispanic black (OR, 0.67 [0.56-0.8]) or with Medicaid (OR, 0.84 [0.71-0.98]). The 2006 guidelines were not associated with a decline in codeine prescriptions for cough or URI visits.ConclusionsAlthough there was a small decline in codeine prescription over 10 years, use for cough or URI did not decline after national guidelines recommending against its use. More effective interventions are needed to prevent codeine prescription to children.

Background and objectivesInpatient 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.MethodsWe 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).ResultsNearly 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).ConclusionsWe 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.

ObjectivesTo assess clinician attitudes and experiences in Health eHearts, a quality recognition and financial incentive program using health information technology.Study designSurvey of physicians.MethodsA 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).ResultsSurvey 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).ConclusionsClinicians 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.

ImportanceMost 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.ObjectiveTo 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 participantsA cluster-randomized trial of small (

ObjectiveTo assess variation among hospitals on pediatric readmission and revisit rates and to determine the number of high- and low-performing hospitals.MethodsIn a retrospective analysis using the State Inpatient and Emergency Department Databases from the Healthcare Cost and Utilization Project with revisit linkages available, we identified pediatric (ages 1-20 years) visits with 1 of 7 common inpatient pediatric conditions (asthma, dehydration, pneumonia, appendicitis, skin infections, mood disorders, and epilepsy). For each condition, we calculated rates of all-cause readmissions and rates of revisits (readmission or presentation to the emergency department) within 30 and 60 days of discharge. We used mixed logistic models to estimate hospital-level risk-standardized 30-day revisit rates and to identify hospitals that had performance statistically different from the group mean.ResultsThirty-day readmission rates were low (1% of hospitals labeled as different from the mean on 30-day risk-standardized revisit rates was mood disorders (4.2% of hospitals [n = 15], range of hospital performance 6.3%-15.9%).ConclusionsWe found that when comparing hospitals' performances to the average, few hospitals that care for children are identified as high- or low-performers for revisits, even for common pediatric diagnoses, likely due to low hospital volumes. This limits the usefulness of condition-specific readmission or revisit measures in pediatric quality measurement.

BackgroundOur goal was to compare hospital scores from the most widely used commercial website in the USA to hospital scores from more systematic measures of patient experience and outcomes, and to assess what drives variation in the commercial website scores.MethodsFor a national sample of US hospitals, we compared scores on Yelp.com, which aggregates website visitor ratings (1-5 stars), with traditional measures of hospital quality. We calculated correlations between hospital Yelp scores and the following: hospital percent high ratings (9 or 10, scale 0-10) on the 'Overall' item on the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey; hospital individual HCAHPS domain scores (eg, nurse communication, pain control); hospital 30-day mortality; and hospital 30-day readmission rates.ResultsOf hospitals reporting HCAHPS (n=3796), 962 (25%) had scores on Yelp. Among hospitals with >5 Yelp ratings, the correlation of percent high ratings between Yelp and HCAHPS was 0.49 (p

ObjectiveTo identify an approach to summarizing publicly reported hospital performance data for acute myocardial infarction (AMI) or heart failure (HF) that best predicts current year hospital mortality rates.SettingA total of 1,868 U.S. hospitals reporting process and outcome measures for AMI and HF to the Centers for Medicare and Medicaid Services (CMS) from July 2005 to June 2006 (Year 0) and July 2006 to June 2007 (Year 1).DesignObservational cohort study measuring the percentage variation in Year 1 hospital 30-day risk-adjusted mortality rate explained by denominator-based weighted composite scores summarizing hospital Year 0 performance.Data collectionData were prospectively collected from hospitalcompare.gov.ResultsPercentage variation in Year 1 mortality was best explained by mortality rate alone in Year 0 over other composites including process performance. If only Year 0 mortality rates were reported, and consumers using hospitals in the highest decile of mortality instead chose hospitals in the lowest decile of mortality rate, the number of deaths at 30 days that potentially could have been avoided was 1.31 per 100 patients for AMI and 2.12 for HF (p < .001).ConclusionPublic reports focused on 30-day risk-adjusted mortality rate may more directly address policymakers' goals of facilitating consumer identification of hospitals with better outcomes.

BackgroundHealth information technology (HIT) may improve health care quality and outcomes, in part by making information available in a timelier manner. However, there are few studies documenting the changes in timely availability of data with the use of a sophisticated electronic medical record (EMR), nor a description of how the timely availability of data might differ with different types of EMRs. We hypothesized that timely availability of data would improve with use of increasingly sophisticated forms of HIT.MethodsWe used an historical observation design (2004-2006) using electronic data from office visits in an integrated delivery system with three types of HIT: Basic, Intermediate, and Advanced. We calculated the monthly percentage of visits using the various types of HIT for entry of visit diagnoses into the delivery system's electronic database, and the time between the visit and the availability of the visit diagnoses in the database.ResultsIn January 2004, when only Basic HIT was available, 10% of office visits had diagnoses entered on the same day as the visit and 90% within a week; 85% of office visits used paper forms for recording visit diagnoses, 16% used Basic at that time. By December 2006, 95% of all office visits had diagnoses available on the same day as the visit, when 98% of office visits used some form of HIT for entry of visit diagnoses (Advanced HIT for 67% of visits).ConclusionUse of HIT systems is associated with dramatic increases in the timely availability of diagnostic information, though the effects may vary by sophistication of HIT system. Timely clinical data are critical for real-time population surveillance, and valuable for routine clinical care.