Care that Matters: Quality Measurement and Health Care.
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ABSTRACT:
SUBMITTER: Saver BG
PROVIDER: S-EPMC4648519 | biostudies-literature | 2015 Nov
REPOSITORIES: biostudies-literature
Publications
Care that Matters: Quality Measurement and Health Care.
Saver Barry G BG Martin Stephen A SA Adler Ronald N RN Candib Lucy M LM Deligiannidis Konstantinos E KE Golding Jeremy J Mullin Daniel J DJ Roberts Michele M Topolski Stefan S
PLoS medicine 20151117 11
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Project description:ObjectivesPerformance measurement is used by health care providers, payers, and patients. Historically accomplished using administrative data, registries are used increasingly to track and improve care. We assess how measured diabetes care quality differs when calculated using claims versus registry.Data sources/study settingCross-sectional analysis of administrative claims and electronic health records (EHRs) of patients in a multispecialty integrated health system in 2012 (n = 368,883).Study designWe calculated percent of patients attaining glycohemoglobin <8.0 percent, LDL cholesterol <100 mg/dL, blood pressure <140/90 mmHg, and nonsmoking (D4) in cohorts, identified by Medicare Accountable Care Organization/Minnesota Community Measures (ACO-MNCM; claims-based), Healthcare Effectiveness Data and Information Set (HEDIS; claims-based), and registry (EHR-based).Data collection/extraction methodsClaims were linked to EHR to create a dataset of performance-eligible patients.Principal findingsACO-MNCM, HEDIS, and registry identified 6,475, 6,989, and 6,425 measurement-eligible patients. Half were common among the methods; discrepancies were due to attribution, age restriction, and encounter requirements. D4 attainment was lower in ACO-MNCM (36.09 percent) and HEDIS (37.51 percent) compared to registry (43.74 percent) cohorts.ConclusionsRegistry- and claims-based performance measurement methods identify different patients, resulting in different rates of quality metric attainment with implications for innovative population health management.
| S-EPMC5134196 | biostudies-literature
Project description:IntroductionAlternative measurement approaches for adverse childhood experiences (i.e., count score versus individual adverse childhood experiences measured dichotomously versus individual adverse childhood experiences measured ordinally) can alter the association between adverse childhood experiences and adverse outcomes. This could significantly impact the interpretation of adverse childhood experiences research.MethodsData were collected in 2018 (analyzed in 2020) via Amazon's Mechanical Turk and from people incarcerated in 4 correctional facilities (N=1,451). Included adverse childhood experience questions measured the following: physical, emotional, and sexual abuse; physical and emotional neglect; household mental illness, substance use, domestic violence, and incarceration; and exposure to community violence before age 18 years. A total of 19 measured outcomes spanned 4 domains of functioning: general functioning, substance use, psychopathology, and criminal behavior.ResultsRegression models using the count score explained the least amount of variance in outcomes, whereas multivariable regression models assessing adverse childhood experiences on a continuum explained the most variance. In many instances, the explained variance increased by 2-5 times across the predictive models. When comparing regression coefficients for multivariable regression models that measured adverse childhood experiences as binary versus ordinal, there were notable differences in the effect sizes and in which adverse childhood experiences predicted outcomes. Disparities in results were most pronounced among high-risk populations that experience a disproportionate amount of adverse childhood experiences.ConclusionsAlternative methods of measuring adverse childhood experiences can influence understanding of their true impact. These findings suggest that the deleterious effects of imprecise measurement methods may be most pronounced in the populations most at risk of adverse childhood experiences. For the sake of prevention, the measurement of adverse childhood experiences must evolve.
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Project description:BACKGROUND:Transitional care for older chronically ill people is an important area for healthcare quality improvement. A central goal is to involve older people more in transitional care and make care more patient-centered. Recently, asking, "What matters to you?" (WMTY) has become a popular way of approaching the implementation of patient-centered care. The aim of this study was to explore health care providers' perceptions and experiences regarding the question of WMTY in the context of improving transitional care for older, chronically ill persons. METHODS:The data comprise semi-structured individual interviews with 20 health care providers (HCPs) who took part in a Norwegian quality improvement collaborative, three key informant interviews, and observations of meetings in the quality improvement collaborative. We used a thematic analysis approach. RESULTS:Three interrelated themes emerged from the analysis: WMTY is a complex process that needs to be framed competently; framing WMTY as a functional approach; and framing WMTY as a relational approach. There was a tension between the functional and the relational approach. This tension seemed to be based in different understandings of the purpose of asking the WMTY question and the responsibility that comes with asking it. CONCLUSIONS:WMTY may appear as a simple question, but using it in everyday practice is a complex process, which requires professional competence. When seen in terms of a patient-centered goal process, the challenge of competently eliciting older people's personal goals and transferring these goals into professional action becomes evident. An important factor seems to be how HCPs regard the limits of their responsibility in relation to giving care within the larger frame of the patient's life project. Factors in the organizational and political context also seem to influence substantially how HCPs approach older patients with the WMTY question.
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Project description:ObjectiveTo assess service use and associated expenditure across a range of care settings in one local authority in London, United Kingdom.MethodsAn analysis of linked electronic health and council records of adults living in the borough of Barking and Dagenham, east London, for the financial year 2016/17. Unit costs were applied to individual service use to provide expenditure at an individual and population level for five settings of care. Population and expenditure volumes were compared for 32 possible combinations of service use.ResultsThe total expenditure for the cohort (114,393 residents) for 2016/17 was £180.1 million. Almost half (47%) of total expenditure was incurred by community care, social care and mental health services, with hospital care and primary care incurring, respectively, 35% (£63.3 m) and 18% (£32.6 m). The two most common combinations in terms of total population volume and expenditure were primary and hospital care, and primary, hospital and community care. Primary care was present in all combinations. Mental health service use accounted for just over a tenth of all expenditure in the borough, but using mental health services substantially increased mean expenditure per patient.ConclusionsA whole system perspective across all settings of care improves understanding of service user patterns. Setting-level analysis remains important, particularly for mental health users.
| S-EPMC8013836 | biostudies-literature
Project description:We exploit the unique design of a repeated survey experiment among students in four countries to explore the stability of risk preferences in the context of the COVID-19 pandemic. Relative to a baseline before the pandemic, we find that self-assessed willingness to take risks decreased while the willingness to take risks in an incentivized lottery task increased, for the same sample of respondents. These findings suggest domain specificity of preferences that is partly reflected in the different measures.
| S-EPMC9754807 | biostudies-literature
Project description:Rationale, Aims, and Objectives. The Intermediate Care Unit (IMCU) is a hospital unit which is logistically situated between the hospital ward and the Intensive Care Unit (ICU). There is debate regarding the value of the IMCU. Understanding its value is compromised by the lack of adequate quality indicators. Therefore, this study identifies currently used IMCU indicators and evaluates their usefulness. Methods. Through a systematic literature search, currently used quality indicators were identified and evaluated for their importance using a proposed IMCU-specific quality measurement framework. Results. From 4034 titles and abstracts, 168 articles were selected for full-text review. Of these, 22 articles were included, which reported IMCU quality at the level of the IMCU (n = 12), the ICU (n = 5), both IMCU and ICU (n = 3) or hospital level (n = 2). At the IMCU, the IMCU mortality (n = 16), discharge-to-ICU rate (n = 7), in-hospital IMCU mortality (n = 7), and length of stay (n = 6) were most frequently reported. Three studies compared the effect of different structures of the IMCU on its utilization or hospital outcome. Conclusions. Current focus in IMCU quality research is towards measuring quality at the IMCU itself. Since the influence of the structure of IMCUs on its utilization and its effects on hospital outcome are only rarely investigated, attention should shift towards these important issues in further research. The proposed IMCU quality measurement framework can thereby serve as a helpful tool.
| S-EPMC6087599 | biostudies-literature
Project description:IntroductionCare Coordination (CC) is a significant intervention to enhance family's capacity in caring for children with neurodevelopmental disability and medical complexity (NDD-MC). CC assists with integration of medical and behavioral care and services, partnerships with medical and community-based supports, and access to medical, behavioral, and educational supports and services. Although there is some consensus on the principles that characterize optimal CC for children with NDD-MC, challenges remain in measuring and quantifying the impacts of CC related to these principles. Two key challenges include: (1) identification of measures that capture CC impacts from the medical system, care provider, and family perspectives; and (2) recognition of the important community context outside of a hospital or clinical setting.MethodsThis study used a multilevel model variant of the triangulation mixed methods design to assess the impact of a CC project implemented in Alberta, Canada, on family quality of life, resource use, and care integration at the broader environmental and household levels. At the broader environmental level, we used linked administrative data. At the household level we used quantitative pre-post survey datasets, and aggregate findings from qualitative interviews to measure group-level impacts and an embedded multiple-case design to draw comparisons, capture the nuances of children with NDD-MC and their families, and expand on factors driving the high variability in outcome measures. Three theoretical propositions formed the basis of the analytical strategy for our case study evidence to explore factors affecting the high variability in outcome measures.DiscussionThis study expanded on the factors used to measure the outcomes of CC and adds to our understanding of how CC as an intervention impacts resource use, quality of life, and care integration of children with NDD-MC and their families. Given the heterogeneous nature of this population, evaluation studies that account for the variable and multi-level impacts of CC interventions are critical to inform practice, implementation, and policy of CC for children with NDD-MC.
| S-EPMC10656699 | biostudies-literature
Project description:Despite efforts to increase the proportion of individuals diagnosed with HIV who receive anti-retroviral therapy, 28% of people living with HIV (PLHIV) aged 15 years and older in eastern and southern Africa and 42% in western and central Africa were not receiving anti-retroviral therapy in 2019. Therefore, improving access to health care services is key to reduce HIV incidence and prevalence. The main aim of this study was to generate high-resolution maps of underserved areas where people cannot access the closest health care facilities within appropriate travel time in sub-Saharan Africa (SSA). Main sources of data for this study were the estimated number of PLHIV for adults aged 15-49 years in 47 countries in SSA and the global map of travel time to the nearest health care facility by motorized and non-motorized transportation. These data were used to estimate and map the number of PLHIV in underserved areas at a travel distance of 10, 30, and 60 minutes from the nearest healthcare facility. We identified and mapped more than 7 million PLHIV in the areas with a lack of access to health care within 10-minute travel time and 1.5 million PLHIV in the areas with a lack of access to health care within 60-minute travel time. The identified locations of underserved areas are an indicator of the challenge faced by PLHIV in accessing health services in SSA, a situation that is likely worsened by the COVID-19 pandemic. These findings can contribute to developing cost-effective geospatial policies for interventions aimed at underserved areas at a finer resolution for communities that have usually been identified in aggregated spatial areas. Further development and implementation of tailored intervention and treatment programs, especially in areas identified as underserved for PLHIV, should be explored. Geospatial analyses could complement the decision-making process with stakeholders to enhance healthcare access for PLHIV in SSA.
| S-EPMC10021734 | biostudies-literature
Project description:BackgroundOur objective was to perform the translation, cross-cultural adaptation, and validation of the Quality Care Questionnaire-Palliative Care (QCQ-PC) into Brazilian Portuguese for cancer patients in palliative care. The translation and cross-cultural adaptation comprised the following stages: translation, synthesis of translations, back-translation, analysis by a committee of experts, testing of the pre-final version, and definition of the final version. The evaluated measurement properties were: structural validity using factor analysis, test-retest reliability using the intraclass correlation coefficient (ICC), internal consistency using Cronbach's alpha, and construct validity using the correlations between the QCQ-PC and other questionnaires already validated in Brazil.ResultsTwo hundred and twenty-five cancer patients were included for validity analyses, and a subsample of 30 patients was used for test-retest reliability. The most adequate fit indexes were for the short version of the QCQ-PC (SF-QCQ-PC), with two domains and 12 items. There was adequate reliability and internal consistency, with values of the ICC ≥ 0.83 and Cronbach's alpha ≥0.82. There were correlations > 0.30 between the SF-QCQ-PC and the Karnofsky Performance Scale, the Palliative Prognostic Index, the sadness domain of the Edmonton Symptom Assessment System, the Barthel Index, and all domains related to the McGill Quality of Life Questionnaire and the European Organization for Research in the Treatment of Cancer Questionnaire-core.ConclusionThe short version of the SF-QCQ-PC has acceptable psychometric properties for use in Brazil.
| S-EPMC7993463 | biostudies-literature
Project description:ObjectiveTo identify the effect of competition on health maintenance organizations' (HMOs) quality measures.Study designLongitudinal analysis of a 5-year panel of the Healthcare Effectiveness Data and Information Set (HEDIS) and Consumer Assessment of Health Plans Survey(R) (CAHPS) data (calendar years 1998-2002). All plans submitting data to the National Committee for Quality Assurance (NCQA) were included regardless of their decision to allow NCQA to disclose their results publicly.Data sourcesNCQA, Interstudy, the Area Resource File, and the Bureau of Labor Statistics.MethodsFixed-effects models were estimated that relate HMO competition to HMO quality controlling for an unmeasured, time-invariant plan, and market traits. Results are compared with estimates from models reliant on cross-sectional variation.Principal findingsEstimates suggest that plan quality does not improve with increased levels of HMO competition (as measured by either the Herfindahl index or the number of HMOs). Similarly, increased HMO penetration is generally not associated with improved quality. Cross-sectional models tend to suggest an inverse relationship between competition and quality.ConclusionsThe strategies that promote competition among HMOs in the current market setting may not lead to improved HMO quality. It is possible that price competition dominates, with purchasers and consumers preferring lower premiums at the expense of improved quality, as measured by HEDIS and CAHPS. It is also possible that the fragmentation associated with competition hinders quality improvement.
| S-EPMC2613992 | biostudies-literature