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Comparative quality measures of emergency care: an outcome cockpit proposal to survey clinical processes in real life.

ABSTRACT: Background:Benchmarking of real-life quality of care may improve evaluation and comparability of emergency department (ED) care. We investigated process management variables for important medical diagnoses in a large, well-defined cohort of ED patients and studied predictors for low quality of care. Methods:We prospectively included consecutive medical patients with main diagnoses of community-acquired pneumonia, urinary tract infection (UTI), myocardial infarction (MI), acute heart failure, deep vein thrombosis, and COPD exacerbation and followed them for 30 days. We studied predictors for alteration in ED care (treatment times, satisfaction with care, readmission rates, and mortality) by using multivariate regression analyses. Results:Overall, 2986 patients (median age 72 years, 57% males) were included. The median time to start treatment was 72 minutes (95% CI: 23 to 150), with a median length of ED stay (ED LOS) of 256 minutes (95% CI: 166 to 351). We found delayed treatment times and longer ED LOS to be independently associated with main medical admission diagnosis and time of day on admission (shortest times for MI and longest times for UTI). Time to first physician contact (-0.01 hours, 95% CI: -0.03 to -0.02) and ED LOS (-0.01 hours, 95% CI: -0.02 to -0.04) were main predictors for patient satisfaction. Conclusion:Within this large cohort of consecutive patients seeking ED care, we found time of day on admission to be an important predictor for ED timeliness, which again predicted satisfaction with hospital care. Older patients were waiting longer for specific treatment, whereas polymorbidity predicted an increased ED LOS.

SUBMITTER: Burgemeister S

PROVIDER: S-EPMC5661482 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Comparative quality measures of emergency care: an outcome cockpit proposal to survey clinical processes in real life.

Burgemeister Susanne S Kutz Alexander A Conca Antoinette A Holler Thomas T Haubitz Sebastian S Huber Andreas A Buergi Ulrich U Mueller Beat B Schuetz Philipp P

Open access emergency medicine : OAEM 20171024

<h4>Background</h4>Benchmarking of real-life quality of care may improve evaluation and comparability of emergency department (ED) care. We investigated process management variables for important medical diagnoses in a large, well-defined cohort of ED patients and studied predictors for low quality of care.<h4>Methods</h4>We prospectively included consecutive medical patients with main diagnoses of community-acquired pneumonia, urinary tract infection (UTI), myocardial infarction (MI), acute hea ...[more]

PMID: 29123431

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Project description:BackgroundDigital technologies are transforming the health care system. A large part of information is generated as real-world data (RWD). Data from electronic health records and digital biomarkers have the potential to reveal associations between the benefits and adverse events of medicines, establish new patient-stratification principles, expose unknown disease correlations, and inform on preventive measures. The impact for health care payers and providers, the biopharmaceutical industry, and governments is massive in terms of health outcomes, quality of care, and cost. However, a framework to assess the preliminary quality of RWD is missing, thus hindering the conduct of population-based observational studies to support regulatory decision-making and real-world evidence.ObjectiveTo address the need to qualify RWD, we aimed to build a web application as a tool to translate characterization of some quality parameters of RWD into a metric and propose a standard framework for evaluating the quality of the RWD.MethodsThe RWD-Cockpit systematically scores data sets based on proposed quality metrics and customizable variables chosen by the user. Sleep RWD generated de novo and publicly available data sets were used to validate the usability and applicability of the web application. The RWD quality score is based on the evaluation of 7 variables: manageability specifies access and publication status; complexity defines univariate, multivariate, and longitudinal data; sample size indicates the size of the sample or samples; privacy and liability stipulates privacy rules; accessibility specifies how the data set can be accessed and to what granularity; periodicity specifies how often the data set is updated; and standardization specifies whether the data set adheres to any specific technical or metadata standard. These variables are associated with several descriptors that define specific characteristics of the data set.ResultsTo address the need to qualify RWD, we built the RWD-Cockpit web application, which proposes a framework and applies a common standard for a preliminary evaluation of RWD quality across data sets-molecular, phenotypical, and social-and proposes a standard that can be further personalized by the community retaining an internal standard. Applied to 2 different case studies-de novo-generated sleep data and publicly available data sets-the RWD-Cockpit could identify and provide researchers with variables that might increase quality.ConclusionsThe results from the application of the framework of RWD metrics implemented in the RWD-Cockpit application suggests that multiple data sets can be preliminarily evaluated in terms of quality using the proposed metrics. The output scores-quality identifiers-provide a first quality assessment for the use of RWD. Although extensive challenges remain to be addressed to set RWD quality standards, our proposal can serve as an initial blueprint for community efforts in the characterization of RWD quality for regulated settings.

Project description:IntroductionOutcome assessments after surgery for degenerative lumbar disorders (DLDs) rely on subjective patient-reported outcomes (PROMs). New objective functional capacity tests, like the smartphone-based 6-min walking test (6WT), have been introduced but presumably also do not reflect the patient's real-life functional performance.Research questionPilot study to analyze changes in smartphone-based real-life activity data for physical performance outcome in patients undergoing surgery for DLD.Material and methodsProspective observational study of DLD patients. Objective functional capacity and subjective outcomes were measured using 6WT and PROMs. Real-life physical performance data were acquired retrospectively using Apple iPhone Health data and compared against objective capacity and subjective outcomes.ResultsEight patients (mean 46 years, 62% male) provided 286.858 smartphone mile counts. PROMs and physical capacity (6WT) significantly improved postoperatively. 6WT results increased from 352m pre-to 555/567m at 6/12 weeks postoperatively (p = 0.03). For physical performance a linear mixed effect models showed an increase in daily distance in the first 4 months after surgery (slope +0.178; p < 0.001). However, those increases reversed from 4 until 12 months postoperatively (negative slope estimate of -0.076; p < 0.001). Smartphone-derived physical performance measures showed a positive correlation with corresponding physical capacity in the 6WT (R = 0.57,p = 0.004) and negative correlations with PROMs (COMI: R = -0.62p = 0.001; ZCQ-Physical-Function: R = -0.68,p < 0.001; ZCQ-Symptom-Severity: R = -0.52,p = 0.009).Discussion and conclusionSmartphone-based real-life activity data allows for longitudinal physical performance assessment. Physical performance correlated with physical capacity and patient's subjective perception of disability. However, physical performance may be more resistant to postoperative longtime change which should consult a more cautious use as objective outcome measure.

Project description:BACKGROUND:Duchenne muscular dystrophy (DMD) is a progressive neuromuscular disease characterized by progressive muscle weakness, multiple system involvement and premature mortality. Effective treatments for DMD through clinical trials and natural history studies are currently underway. Clinical trials in DMD typically include several outcome measures of motor function. Research sites and studies have been found to have slightly different operational definitions for a given functional outcome resulting in different procedures and protocols for these measurements. OBJECTIVE:The goal of this study is to establish agreement among experts in the field around best practices in collecting functional outcome data in DMD providing researchers and clinicians with guidance on best practices. METHODS:A group of 30 experts in Duchenne Muscular Dystrophy (DMD) with experience in the development and/ or execution of lower extremity outcome measures for this population met face to face to identify incongruences in the collection of this data. This effort was based in the United States (US) and sponsored by Parent Project Muscular Dystrophy. Several discrepancies were categorized for each outcome which included: 6-minute walk test, 10-meter walk/run, supine to stand, ascend 4 stairs, sit to stand, and the NorthStar Ambulatory Assessment. Following this meeting an additional 32 experts in DMD (28 from the United States and 11 international participants) consented to participate in a Delphi Survey to reach consensus on the protocols and execution of lower extremity outcomes. RESULTS:Round one: 70 operationally defined questions were surveyed with 45 (64%) reaching >70% consensus. Round two: 27 questions were operational, with 20 (74%) reaching >70% consensus. Those questions that did not reach consensus appear minor. CONCLUSION:With minor modifications in the collection of data across sites, outcomes could potentially be normalized across research studies. This would reduce excessive training for evaluators in trials and produce minimal differences between protocols. Consistency in protocols will promote more efficient study start up, less errors between administration of items across studies, and ultimately improve quality and reliability of the functional outcomes. The authors strongly advocate for the establishment of a "research network library" that could be utilized by all those performing clinical assessments and trials in DMD.

Project description:STUDY DESIGN: Systematic review. STUDY RATIONALE: According to current estimates, there are more than 1 million people living with a spinal cord injury (SCI) in the United States alone. Given the potentially devastating impact of SCI on health-related quality of life (QoL), we sought to gain an improved understanding of QoL outcomes in SCI. OBJECTIVE: To identify and describe common QoL outcomes measures in patients with SCI. METHODS: A systematic review of the English-language literature was undertaken for articles published from 1998 through December 2010. Electronic databases and reference lists of key articles were searched to identify measures or indices used to evaluate QoL outcomes in patients with SCI. The titles and abstracts of the SCI peer-reviewed literature were searched to determine which of these outcome measures were most commonly used to evaluate QoL in patients with SCI. RESULTS: We identified 27 outcome measures used to evaluate QoL in patients with SCI. In SCI literature, the six most commonly used objective outcome measures were the Short-form 36 (SF-36); Craig Handicap Assessment and Reporting Technique (CHART); Short-form 12 (SF-12); Sickness Impact Profile (SIP68); Reintegration to Normal Living Index (RNL); and Community Integration Questionnaire (CIQ). The six subjective measures that were most frequently used were the Satisfaction with Life Scale (SWLS); Quality of Life Index (QLI); Life Satisfaction Questionnaire (LISAT-9/-1); World Health Organization Quality of Life-BREF scale (WHOQOL-BREF); Perceived Quality of Life (PQOL); and global QoL. All six objective measures have been validated in an SCI population, and four of the six subjective measures have been similarly validated. Three of each of the objective and subjective measures have been reliability tested in a population with SCI. CONCLUSION: In addition to neurological and functional changes after SCI, QoL outcomes should be routinely assessed. Choice of appropriate QoL measure should be influenced by the study objectives and design, as well as the psychometric properties of the particular measure within the context of SCI.

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Comparative quality measures of emergency care: an outcome cockpit proposal to survey clinical processes in real life.

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Comparative quality measures of emergency care: an outcome cockpit proposal to survey clinical processes in real life.

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