Development of a composite measure of state-level malpractice environment.
Ontology highlight
ABSTRACT: Objective
To develop a composite measure of state-level malpractice environment.Data sources
Public use data from the National Practitioner Data Bank, Medical Liability Monitor, the National Conference of State Legislatures, and the American Bar Association.Study design
Principal component analysis of state-level indicators (paid claims rate, malpractice premiums, lawyers per capita, average award size, and malpractice laws), with indirect validation of the composite using receiver-operating characteristic curves to determine how accurately the composite could identify states with high-tort activity and costs.Principal findings
A single composite accounted for over 73 percent of total variance in the seven indicators and demonstrated reasonable criterion validity.Conclusion
An empirical composite measure of state-level malpractice risk may offer advantages over single indicators in measuring overall risk and may facilitate cross-state comparisons of malpractice environments.
SUBMITTER: Chung JW
PROVIDER: S-EPMC3976196 | biostudies-literature | 2014 Apr
REPOSITORIES: biostudies-literature
Publications
Development of a composite measure of state-level malpractice environment.
Chung Jeanette W JW Sohn Min-Woong MW Merkow Ryan P RP Oh Elissa H EH Minami Christina C Black Bernard S BS Bilimoria Karl Y KY
Health services research 20131011 2
<h4>Objective</h4>To develop a composite measure of state-level malpractice environment.<h4>Data sources</h4>Public use data from the National Practitioner Data Bank, Medical Liability Monitor, the National Conference of State Legislatures, and the American Bar Association.<h4>Study design</h4>Principal component analysis of state-level indicators (paid claims rate, malpractice premiums, lawyers per capita, average award size, and malpractice laws), with indirect validation of the composite usin ...[more]
Similar Datasets
Project description:ObjectiveClinicians spend significant time working in the electronic health record (EHR). The US is an outlier in EHR time, suggesting that EHR-related work may be driven in part by the legal environment and threat of malpractice. To assess this, we evaluate the association between state-level malpractice climate and clinician time spent in the EHR.Materials and methodsWe use EHR metadata from 351 ambulatory care health systems in the United States using Epic from January-August 2019 combined with state-level data on malpractice incidence and payouts. We used descriptive statistics to measure variation in clinician EHR time, including total EHR time, documentation time per day, and after-hours EHR time per day. Multi-variable regression evaluated the association between clinicians in high malpractice states and EHR use.ResultsWe found no association between location in a state in the top-quartile of malpractice payouts and time spent in the EHR per day, time spent in the EHR outside of scheduled hours, or time spent documenting per day, except for a subgroup of the clinicians in the highest malpractice specialties, where there was a small increase in EHR time per day (B = 6.08 min, P < 0.001) and time spent documenting notes (B = 2.77 min, P < 0.001).DiscussionState-level differences in malpractice incidence are unlikely to be a significant driver of EHR work for most clinicians.ConclusionPolicymakers seeking to address EHR documentation burden should examine burden driven by other socio-technical demands on clinician time, such as billing or quality measurement.
| S-EPMC9093025 | biostudies-literature
Project description:BackgroundPast studies of the impact of state-level medical malpractice reforms on health spending produced mixed findings. Particularly salient is the evidence gap concerning the effect of different types of malpractice reform. This study aims to fill the gap. It extends the literature by examining the general population, not a subgroup or a specific health condition, and controlling for individual-level sociodemographic and health status.MethodsWe merged the Database of State Tort Law Reforms with the Medical Expenditure Panel Survey between 1996 and 2012. We took a difference-in-differences approach to specify a two-part model for analyzing individual-level health spending. We applied the recycled prediction method and the bootstrapping technique to examining the difference in health spending growth between states with and without a reform. All expenditures were converted to 2010 U.S. dollars.ResultsOnly two of the 10 major state-level malpractice reforms had significant impacts on the growth of individual-level health expenditures. The average annual expenditures in states with caps on attorney contingency fees increased less than that in states without the reform (p < .05). Compared with states with traditional contributory negligence rule, the average annual expenditures increased more in both states with a pure comparative fault reform (p < .05) and states with a comparative fault reform that barred recovery if the plaintiff's fault was equal to or greater than the defendant's (p < .05).ConclusionsA few state-level malpractice reforms had significantly affected the growth of individual-level health spending, and the direction and magnitude of the effects differed by type of reform.
| S-EPMC5682133 | biostudies-literature
Project description:BackgroundThe learning environment impacts many aspects of healthcare education, including student outcomes. Rather than being a single and fixed phenomenon, it is made up of multiple micro learning environments. The standard clinical learning environment measurement tools do not consider such diversity and may fail to adequately capture micro learning environments. Moreover, the existing tools are often long and may take a prohibitive amount of time to complete properly. This may have a negative impact on their usefulness in educational improvement strategies. In addition, there is no universal tool available which could be utilised across several healthcare student groups and placement settings.AimTo create an evidence-based measurement tool for assessing clinical micro learning environments across several healthcare profession student groups.MethodsThe measurement tool was developed through a step-wise approach: 1) literature review with iterative analysis of existing tools; 2) generation of new items via thematic analysis of student experiences; 3) a Delphi process involving healthcare educators; 4) piloting of the prototype; and 5) item reduction.ResultsThe literature review and experiential data from healthcare students resulted in 115 and 43 items respectively. These items were refined, leaving 75 items for the Delphi process, which produced a prototype with 57 items. This prototype was then completed by 257 students across the range of healthcare professions, with item reduction resulting in a 12-item tool.ConclusionThis paper describes a mixed methods approach to developing a brief micro learning environment measurement tool. The generated tool can be used for measuring student perceptions of clinical environments across several healthcare professions. Further cross-cultural and cross-professional validation studies are needed to support widespread use, possibly through mobile application.
| S-EPMC7146917 | biostudies-literature
Project description:Tracking the physiological conditions of a patient developing infection is of utmost importance to provide optimal care at an early stage. This work presents a procedure to integrate multiple measures of heart rate variability into a unique measure for the tracking of sepsis development. An early warning system is used to illustrate its potential clinical value. The study involved 17 adults (age median 51 (interquartile range 46-62)) who experienced a period of neutropenia following chemoradiotherapy and bone marrow transplant; 14 developed sepsis, and 3 did not. A comprehensive panel (N = 92) of variability measures was calculated for 5 min-windows throughout the period of monitoring (12 ± 4 days). Variability measures underwent filtering and two steps of data reduction with the objective of enhancing the information related to the greatest degree of change. The proposed composite measure was capable of tracking the development of sepsis in 12 out of 14 patients. Simulating a real-time monitoring setting, the sum of the energy over the very low frequency range of the composite measure was used to classify the probability of developing sepsis. The composite revealed information about the onset of sepsis about 60 hours (median value) before of sepsis diagnosis. In a real monitoring setting this quicker detection time would be associated to increased efficacy in the treatment of sepsis, therefore highlighting the potential clinical utility of a composite measure of variability.
| S-EPMC3446945 | biostudies-literature
Project description:Existing measures of emotion dysregulation typically assess dispositional tendencies and are therefore not well suited for study designs that require repeated assessments over brief intervals. The aim of this study was to develop and validate a state-based multidimensional measure of emotion dysregulation. Psychometric properties of the State Difficulties in Emotion Regulation Scale (S-DERS) were examined in a large representative community sample of young adult women drawn from four sites ( N = 484). Exploratory factor analysis suggested a four-factor solution, with results supporting the internal consistency, construct validity, and predictive validity of the total scale and the four subscales: Nonacceptance (i.e., nonacceptance of current emotions), Modulate (i.e., difficulties modulating emotional and behavioral responses in the moment), Awareness (i.e., limited awareness of current emotions), and Clarity (i.e., limited clarity about current emotions). S-DERS scores were significantly associated with trait-based measures of emotion dysregulation, affect intensity/reactivity, experiential avoidance, and mindfulness, as well as measures of substance use problems. Moreover, significant associations were found between the S-DERS and state-based laboratory measures of emotional reactivity, even when controlling for the corresponding original DERS scales. Results provide preliminary support for the reliability and validity of the S-DERS as a state-based measure of emotion regulation difficulties.
| S-EPMC5243864 | biostudies-literature
Project description:ObjectiveThe adoption of pro-environmental behaviours reduces anthropogenic environmental impacts and subsequent human health effects. This study developed composite indices measuring adoption of pro-environmental behaviours at the household level in Canada.MethodsThe 2007 Households and the Environment Survey conducted by Statistics Canada collected data on Canadian environmental behaviours at households' level. A subset of 55 retained questions from this survey was analyzed by Multiple Correspondence Analysis (MCA) to develop the index. Weights attributed by MCA were used to compute scores for each Canadian province as well as for socio-demographic strata. Scores were classified into four categories reflecting different levels of adoption of pro-environmental behaviours.ResultsTwo indices were finally created: one based on 23 questions related to behaviours done inside the dwelling and a second based on 16 questions measuring behaviours done outside of the dwelling. British Columbia, Quebec, Prince-Edward-Island and Nova-Scotia appeared in one of the two top categories of adoption of pro-environmental behaviours for both indices. Alberta, Saskatchewan, Manitoba and Newfoundland-and-Labrador were classified in one of the two last categories of pro-environmental behaviours adoption for both indices. Households with a higher income, educational attainment, or greater number of persons adopted more indoor pro-environmental behaviours, while on the outdoor index, they adopted fewer such behaviours. Households with low-income fared better on the adoption of outdoors pro-environmental behaviours.ConclusionMCA was successfully applied in creating Indoor and Outdoor composite Indices of pro-environmental behaviours. The Indices cover a good range of environmental themes and the analysis could be applied to similar surveys worldwide (as baseline weights) enabling temporal trend comparison for recurring themes. Much more than voluntary measures, the study shows that existing regulations, dwelling type, households composition and income as well as climate are the major factors determining pro-environmental behaviours.
| S-EPMC4094473 | biostudies-literature
Project description:BackgroundOutcome measures typically assess single domains making holistic assessment difficult. Our purpose was to develop a mobility composite measure (MCM) based on four commonly used outcome measures and compare this composite score to the individual measures in patients with neurologic disorders.MethodsWe retrospectively reviewed 148 medical records for inclusion of primary neurologic diagnosis and scoring for 5 times sit-to-stand test (5TSST), 10-meter walk test (10MWT), 2-minute walk test (2MWT), and activities-specific balance confidence (ABC) scale.ResultsAfter establishing that a single concept was being assessed with interitem correlations, raw scores were converted to percentage of normal and combined into the MCM for analysis from admission to discharge. Scores on each measure significantly improved after intervention (5TSST, p < .001; 10MWT, p < .001; 2MWT, p < .001; ABC, p = .02). Mean MCM (n = 93) admission scores were 67.55 ± 31.88% and discharge scores were 74.81 ± 34.39% (p = .002). On average, patients improved 7.26% on the MCM exceeding the threshold of expected error (MDC95 = 3.59%).ConclusionsMCM detected change in patient outcomes statistically and clinically and appears to capture a holistic picture of functional status. We recommend a prospective study to further investigate a "composite measure" incorporating measures from several functional domains.
| S-EPMC5676479 | biostudies-literature
Project description:INTRODUCTION:We developed an evaluator-administered functional facioscapulohumeral muscular dystrophy composite outcome measure (FSHD-COM) comprising patient-identified areas of functional burden for future clinical trials. METHODS:We performed a prospective observational study of 41 patients with FSHD at 2 sites. The FSHD-COM includes functional assessment of the legs, shoulders and arms, trunk, hands, and balance/mobility. We determined the test-retest reliability and convergent validity compared to established FSHD disease metrics. RESULTS:The FSHD-COM demonstrated excellent test-retest reliability (intraclass correlation coefficient [ICC] 0.96; subscale ICC range, 0.90-0.94). Cross-sectional associations between the FSHD-COM and disease duration, clinical severity, and strength were moderate to strong (Pearson correlation coefficient range |0.51-0.92|). DISCUSSION:The FSHD-COM is a disease-relevant, functional composite outcome measure suitable for future FSHD clinical trials that shows excellent test-retest reliability and cross-sectional associations to disease measures. Future directions include determining multisite reliability, sensitivity to change, and the minimal clinically important change in the FSHD-COM. Muscle Nerve, 2018.
| S-EPMC6066464 | biostudies-literature
Project description:IntroductionTo better understand the impact of the state-level tobacco environment (eg, tobacco control policies, attitudes towards smoking) on cigarette smoking, we examined whether the relationship of state tobacco environments to smoking is modified by individual-level vulnerability factors.MethodsIn a nationally representative sample of US adults (N = 34 638), past-year smoking and heavy smoking were examined. State-level tobacco environment was defined by tobacco-related control policies and attitudes, ranging from permissive to restrictive; individual vulnerability was defined by childhood maltreatment and/or parental substance problems. Additive interaction tested differences in state-level tobacco environment effects on smoking and heavy smoking by individual-level vulnerability.ResultsSignificant interactions (P values < .01) indicated that the state tobacco environment had the strongest relationship to smoking outcomes among individuals with greatest individual vulnerability. For example, among respondents with childhood maltreatment and parental substance problems, those in states with permissive tobacco environments had 13.3% greater prevalence of smoking than those in restrictive states. Among respondents with neither individual-level risk factor, those in permissive states had 2.8% greater prevalence than those in restrictive states (interaction P value = .0002).ConclusionsFurther restricting states' smoking environments could help reduce the prevalence of smoking and heavy smoking, particularly among those at increased individual risk in the general population.ImplicationsThis study shows that the protective effect of restrictive state-level tobacco environments on smoking or heavy smoking was stronger among those especially vulnerable due to individual-level risk factors (parental substance problems, childhood maltreatment). Thus, public health campaigns to influence attitudes towards smoking or legislation to strengthen tobacco control could have a broad effect, particularly impacting those with vulnerability to smoking, which may help decrease smoking prevalence and reduce the massive public health burden of tobacco-related morbidity and mortality.
| S-EPMC5016847 | biostudies-literature
Project description:Assessment environment, synonymous with climate or atmosphere, is multifaceted. Although there are valid and reliable instruments for measuring the educational environment, there is no validated instrument for measuring the assessment environment in medical programs. This study aimed to develop an instrument for measuring students' perceptions of the assessment environment in an undergraduate medical program and to examine the psychometric properties of the new instrument.The Assessment Environment Questionnaire (AEQ), a 40-item, four-point (1=Strongly Disagree to 4=Strongly Agree) Likert scale instrument designed by the authors, was administered to medical undergraduates from the authors' institution. The response rate was 626/794 (78.84%). To establish construct validity, exploratory factor analysis (EFA) with principal component analysis and varimax rotation was conducted. To examine the internal consistency reliability of the instrument, Cronbach's α was computed. Mean scores for the entire AEQ and for each factor/subscale were calculated. Mean AEQ scores of students from different academic years and sex were examined.Six hundred and eleven completed questionnaires were analysed. EFA extracted four factors: feedback mechanism (seven items), learning and performance (five items), information on assessment (five items), and assessment system/procedure (three items), which together explained 56.72% of the variance. Based on the four extracted factors/subscales, the AEQ was reduced to 20 items. Cronbach's α for the 20-item AEQ was 0.89, whereas Cronbach's α for the four factors/subscales ranged from 0.71 to 0.87. Mean score for the AEQ was 2.68/4.00. The factor/subscale of 'feedback mechanism' recorded the lowest mean (2.39/4.00), whereas the factor/subscale of 'assessment system/procedure' scored the highest mean (2.92/4.00). Significant differences were found among the AEQ scores of students from different academic years.The AEQ is a valid and reliable instrument. Initial validation supports its use to measure students' perceptions of the assessment environment in an undergraduate medical program.
| S-EPMC4624573 | biostudies-other