scholarly journals Comparing Survey-Based Frailty Assessment to Medicare Claims in Predicting Health Outcomes and Utilization in Medicare Beneficiaries

2019 ◽  
Vol 32 (7-8) ◽  
pp. 764-777
Author(s):  
Shannon Wu ◽  
John Mulcahy ◽  
Judith D. Kasper ◽  
Hong J. Kan ◽  
Jonathan P. Weiner
Keyword(s):  
Administrative Data ◽  
Health Care Providers ◽  
Risk Measures ◽  
Administrative Claims ◽  
Fee For Service ◽  
Medicare Beneficiaries ◽  
Care Providers ◽  
Multivariable Logistic Regression Model ◽  
Management Interventions ◽  
C Statistic

Objectives: To assess two models for the prediction of health utilization and functions using standardized in-person assessments of frailty and administrative claims-based geriatric risk measures among Medicare fee-for-service beneficiaries aged 65 years and above. Methods: Outcomes of hospitalizations, death, and functional help were investigated for participants in the 2011 National Health and Aging Trends Study. For each outcome, multivariable logistic regression model was used to investigate claims-based geriatric risk and survey-based frailty. Results: Both claims-based and survey-based models showed moderate discrimination. The c-statistic of the standardized frailty models ranged from 0.67 (for any hospitalization) to 0.84 (for any IADL [instrumental activities of daily living] help). Models using administrative data ranged from 0.71 (for any hospitalization) to 0.81 (for any IADL help). Discussion: Models based on existing administrative data appear to be as discriminate as survey-based models. Health care providers and insurance plans can effectively apply existing data resources to help identify high-risk individuals for potential care management interventions.

Patients’ Perceptions of Integrated Care Among Medicare Beneficiaries by Level of Need for Health Services

2022 ◽  
pp. 107755872110678
Author(s):  
Nancy Song ◽  
Molly Frean ◽  
Christian T. Covington ◽  
Maike Tietschert ◽  
Emilia Ling ◽  
...  
Keyword(s):  
Integrated Care ◽  
Health Care Providers ◽  
Chronic Conditions ◽  
Health Management ◽  
Least Square ◽  
Sensitivity Analyses ◽  
Medicare Beneficiaries ◽  
Care Providers ◽  
Factors Affecting ◽  
Ordinary Least Square Regression

Requirements for integrating care across providers, settings, and over time increase with patients’ needs. Health care providers’ ability to offer care that patients experience as integrated may vary among patients with different levels of need. We explore the variation in patients’ perceptions of integrated care among Medicare beneficiaries based on the beneficiary’s level of need using ordinary least square regression for each of four high-need groups: beneficiaries (a) with complex chronic conditions, (b) with frailties, (c) below 65 with disability, and (d) with any (of the first three) high needs. We control for beneficiary demographics and other factors affecting integrated care, and we conduct sensitivity analyses controlling for multiple individual chronic conditions. We find significant positive associations with level of need for provider support for self-directed care and medication and home health management. Controlling for multiple individual chronic conditions reduces effect sizes and number of significant relationships.

scholarly journals Nurses’ knowledge and practices related to pain assessment in critically ill patients in a selected private hospital in Bangladesh

2018 ◽  
Vol 5 (10) ◽  
pp. 4219 ◽  
Author(s):  
Sipra Mondol ◽  
Faisal Muhammad ◽  
A. B. M. Alauddin Chowdhury
Keyword(s):  
Critically Ill ◽  
Health Care Providers ◽  
Pain Assessment ◽  
Subjective Experience ◽  
Sampling Technique ◽  
Care Providers ◽  
Cross Sectional ◽  
Management Interventions ◽  
The Mean ◽  
Nurses Knowledge

Background: Most of the time pain is difficult to assess and manage because of being inherently a subjective experience influenced by multiple factors. The perception and tolerance of pain may vary because of different psychological and social influences of the patient. Therefore it is important for health care providers to assess the pain so that individualized management interventions can be provided. This study was aimed to assess the nurses’ knowledge and practices related to pain assessment in critically ill patients.Methods: A descriptive cross-sectional study was carried out among 200 registered nurses working at different ICU in Square Hospital. The study was conducted within April to August 2017. A non-probability purposive sampling technique was used. The data was collected using pre-tested self-administered semi-structured questionnaire and it was analysed using SPSS 22.0 version.Results: About 81% of the respondents were in the age group 22-32 years and the mean age of the respondents was 27.74±12.06 years. About 79.0% of the respondents were female and 59.5% of the respondents had diploma in nursing. The mean monthly income of the respondents’ was 19450.5 taka. The majority (59.5%) of the respondents had less than 2 years’ service experience. About 85.5% of the respondents said it is important to assess the pain and need for analgesia before, during, and after wound care.Conclusions: Our findings reported that the nurses were reasonably knowledgeable about the principles of pain assessment. More than four-fifths of the respondents had adequate knowledge about pain assessment.

scholarly journals Is X-ray Exposure Related to Dentist Remuneration?

2021 ◽  
Author(s):  
Olivier Kalmus ◽  
Martin Chalkley ◽  
Stefan Listl
Keyword(s):  
Health Care Providers ◽  
Fixed Effects ◽  
Adult Population ◽  
Common Source ◽  
Fee For Service ◽  
X Rays ◽  
Care Providers ◽  
X Ray ◽  
Fixed Effects Panel Regression ◽  
Provider Payment

Abstract Background: In many market settings individuals are encouraged to switch health care providers as a means of ensuring more competition. Switching may have a potentially undesirable side effect of increasing unnecessary treatment. Focusing on the most common source of medical radiation (dental X-rays), the purpose of this study was to assess whether, upon switching dentist, X-ray exposure increases depending on the type of provider payment. Methods: The analysis used longitudinal data from 2005 to 2016 covering a 5% random sample of the Scottish adult population covered by the National Health Service (NHS). Multiple fixed-effects panel regression analyses were employed to determine the correlation of provider remuneration with patients' likelihood of receiving an X-ray upon switching to a new dentist other things equal. A broad set of covariates including a patient’s copayment status was controlled for. Results: Upon switching to a dentist who was paid fee-for-service, patients had a by 9.6 %-points (95% CI: 7.4%-11.8%) higher probability of receiving an X-ray, compared to switching to a salaried dentist. Results were robust when accounting for patient exemption status, as well as unobserved patient and dentist characteristics. Conclusions: In comparison to staying with the same dentist, patients may be exposed to substantially more X-rays upon switching to a dentist who is paid fee-for-service. There may need to be better guidance and regulation to protect the health of those who have to switch provider due to moving and greater caution in advocating voluntary switching.

Evaluation of the Risk of Therapy-Associated Complications in Survivors of Hodgkin Lymphoma

Hematology ◽  
2007 ◽  
Vol 2007 (1) ◽  
pp. 192-196 ◽  
Author(s):  
Lois B. Travis
Keyword(s):  
Hodgkin Lymphoma ◽  
Health Care Providers ◽  
Late Effects ◽  
Disease Risk ◽  
Risk Measures ◽  
Epidemiologic Study ◽  
Incidence Rates ◽  
Care Providers ◽  
Large Numbers ◽  
Study Designs

Abstract Given the improvements in survival of patients with Hodgkin lymphoma (HL) in the last three decades, quantification of the late effects of successful treatment has become critical. Since the highest incidence rates of HL occur at ages 20 to 34 years, large numbers of patients remain at lifelong risk for the late effects of treatment. Deaths due to second cancers are now the most common cause of mortality among long-term survivors of HL, followed by cardiac disease. Risk measures of these and other late sequelae, however, can vary markedly between investigations, depending on the types of treatment, the rigor with which epidemiologic study designs are applied, ascertainment of events of interest, the duration and completeness of follow-up, and consideration of competing risks. Further, numerous influences apart from therapy can affect late effects, including patient age, sex, race, lifestyle factors (tobacco, alcohol, diet), comorbidities, and the underlying cancer process. In the future, it will become increasingly important for health-care providers to be able to critically evaluate the risk of late effects in HL survivors, which will include a working knowledge of various epidemiologic study designs and risk measures and an ability to judiciously review the medical literature. In this article, the methods, significance and caveats in calculating and reporting risks of complications of treatment for HL are reviewed.

The Hazards of Using Administrative Data to Measure Surgical Quality

2006 ◽  
Vol 72 (11) ◽  
pp. 1031-1037
Author(s):  
Donald E. Fry ◽  
Michael B. Pine ◽  
Harmon S. Jordan ◽  
David C. Hoaglin ◽  
Barbara Jones ◽  
...  
Keyword(s):  
Administrative Data ◽  
Risk Adjustment ◽  
Claims Data ◽  
Laboratory Data ◽  
Vital Signs ◽  
Administrative Claims ◽  
Postoperative Sepsis ◽  
Administrative Claims Data ◽  
C Statistic ◽  
Present On Admission

Administrative claims data have been used to measure risk-adjusted clinical outcomes of hospitalized patients. These data have been criticized because they cannot differentiate risk factors present at the time of admission from complications that occur during hospitalization. This paper illustrates how valid risk-adjustment can be achieved by enhancing administrative data with a present-on-admission code, admission laboratory data, and admission vital signs. Examples are presented for inpatient mortality rates following craniotomy and rates of postoperative sepsis after elective surgical procedures. Administrative claims data alone yielded a risk-adjustment model with 10 variables and a C-statistic of 0.891 for mortality after craniotomy, and a model with 18 variables and a C-statistic of 0.827 for postoperative sepsis. In contrast, the combination of administrative data and clinical data abstracted from medical records increased the number of variables in the craniotomy model to 21 with a C-statistic of 0.923, and the number of variables in the postoperative sepsis model to 29 with a C-statistic of 0.858. Use of only administrative data resulted in unacceptable amounts of systematic bias in 24 per cent of hospitals for craniotomy and 19 per cent of hospitals for postoperative sepsis. Addition of a present-on-admission code, laboratory data, and vital signs reduced the percentage of hospitals with unacceptable bias to two percent both for craniotomy and for postoperative sepsis. These illustrations demonstrate suboptimal risk stratification with administrative claims data only, but show that present-on-admission coding combined with readily available laboratory data and vital signs can support accurate risk-adjustment for the assessment of surgical outcomes.

scholarly journals Clinical Diabetes Centers of Excellence: A Model for Future Adult Diabetes Care

2018 ◽  
Vol 103 (3) ◽  
pp. 809-812 ◽  
Author(s):  
Boris Draznin ◽  
Peter A Kahn ◽  
Nicole Wagner ◽  
Irl B Hirsch ◽  
Mary Korytkowski ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Diabetes Care ◽  
The United States ◽  
Clinical Diabetes ◽  
Diabetes Research ◽  
Fee For Service ◽  
Care Providers ◽  
Centers Of Excellence ◽  
Care Experience

Abstract Although diabetes research centers are well defined by National Institutes of Health, there is no clear definition for clinical Diabetes Centers of Excellence (DCOEs). There are multiple clinical diabetes centers across the United States, some established with philanthropic funding; however, it is not clear what defines a DCOE from a clinical perspective and what the future will be for these centers. In this Perspective we propose a framework to guide advancement for DCOEs. With the shift toward value-based purchasing and reimbursement and away from fee for service, defining the procedures for broader implementation of DCOEs as a way to improve population health and patient care experience (including quality and satisfaction) and reduce health care costs becomes critically important. It is prudent to implement new financial systems for compensating diabetes care that may not be provided by fiscally constrained private and academic medical centers. We envision that future clinical DCOEs would be composed of a well-defined infrastructure and six domains or pillars serving as the general guiding principles for developing expertise in diabetes care that can be readily demonstrated to stakeholders, including health care providers, patients, payers, and government agencies.

scholarly journals Alternative payment approaches for advancing comprehensive medication management in primary care

2020 ◽  
Vol 18 (4) ◽  
pp. 2238
Author(s):  
Katherine Pham
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Care Delivery ◽  
Medication Management ◽  
Fee For Service ◽  
Care Providers ◽  
Care Community ◽  
Improved Outcomes ◽  
And Performance ◽  
Value Based Care

The increasing prevalence of complex, chronic conditions has profound implications on the growing demand and cost of health care. The Center for Medicare and Medicaid Innovation is testing data-driven approaches to care delivery and payment that are drawn from innovative practices of health care providers and other partners in the health care community. The shift from fee-for-service to value-based care and performance-based payment places increased priority on improved outcomes at lower costs. To advance comprehensive medication management, pharmacists need to understand the opportunities in the evolving value-based payment models and align medication optimization with the specific goals and incentives of these models.

scholarly journals Clinical Features and Predictors for Mortality in Neurolisteriosis: An Administrative Data-Based Study

Bacteria ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 3-11
Author(s):  
Rafael Garcia-Carretero
Keyword(s):  
Risk Factors ◽  
Clinical Features ◽  
Administrative Data ◽  
Health Care Providers ◽  
High Rate ◽  
Neurological Involvement ◽  
Care Providers ◽  
Severe Condition ◽  
Data Set ◽  
Cns Infections

Listeriosis is an uncommon and potentially severe zoonotic bacterial infection that usually occurs in outbreaks instead of isolated cases. In recent years, there has been an increase in the incidence of this disease. One of the most severe of its complications involves the central nervous system (CNS) in a condition known as neurolisteriosis. Here, we describe the demographic and clinical features of patients presenting with neurolisteriosis between 2001 and 2015 using administrative data and attempt to identify potential predictors for mortality. We used the Spanish Minimum Basic Data Set at Hospitalization, a compulsory registry that collects data from clinical discharge reports. Up to 2015, data were coded based on the International Classification of Diseases, 9th Revision, so we used diagnoses and clinical conditions based on these codes. Age, sex, clinical presentation, mortality, and involvement of the CNS were identified. Using algorithms to aggregate data, variables such as immunosuppression and malignant disease were obtained. We analyzed correlations among clinical features and identified risk factors for morbidity and mortality. Between 2001 and 2015 we identified 5180 individuals, with a hospitalization rate of 0.76 per 100,000 population. Most (94%) were adults, and only 5.4% were pregnant women. The average age was 66 years. Neurological involvement was present in 2313 patients (44.7%), mostly meningitis (90.4%). Global mortality was 17%, but mortality in CNS infections was 19.2%. Age, severe sepsis, chronic liver disease, chronic kidney disease, and malignancy were the main risk factors for mortality in patients with CNS infections by Listeria monocytogenes. Although it is uncommon, neurolisteriosis can be a severe condition, associated with a high rate of mortality. Health care providers should be aware of potential sources of infection so that appropriate measures can be taken to prevent it.

scholarly journals Interpreting the Prevalence of Mental Disorders in Children

2016 ◽  
Vol 18 (1) ◽  
pp. 5-7 ◽  
Author(s):  
Joseph R. Holbrook ◽  
Rebecca H. Bitsko ◽  
Melissa L. Danielson ◽  
Susanna N. Visser
Keyword(s):  
Mental Disorders ◽  
Health Care Providers ◽  
Data Sources ◽  
Administrative Claims ◽  
Valuable Insight ◽  
Care Providers ◽  
Policy Makers ◽  
Community Needs ◽  
Prevalence Estimates ◽  
Single Data

Knowledge on the prevalence of mental disorders among children informs the work of many health care providers, public health researchers, educators, and policy makers, and any single data source and study methodology can provide valuable insight. However, it is only after prevalence estimates from complementary studies are considered together that distinctions can be made to more deeply inform an assessment of community needs, including diagnosed prevalence versus underlying prevalence, differences between insured and uninsured populations, and how estimates change over time. National surveys, community-based studies, and administrative claims data each provide a different type of information that builds broad understanding. This article presents some of the overarching complexities of the issue, discusses strengths and weaknesses of some common data sources and methodologies used to generate epidemiological estimates, and describes ways in which these data sources complement one another and contribute to a better understanding of the prevalence of pediatric mental disorders.

scholarly journals Trends in outpatient antibiotic use and prescribing practice among US older adults, 2011-15: observational study

BMJ ◽  
2018 ◽  
pp. k3155 ◽  
Author(s):  
Scott W Olesen ◽  
Michael L Barnett ◽  
Derek R MacFadden ◽  
Marc Lipsitch ◽  
Yonatan H Grad
Keyword(s):  
Older Adults ◽  
Observational Study ◽  
Inappropriate Prescribing ◽  
Temporal Trends ◽  
Antibiotic Use ◽  
Antibiotic Prescribing ◽  
Administrative Claims ◽  
Fee For Service ◽  
Medicare Beneficiaries ◽  
Prescribing Practice

AbstractObjectiveTo identify temporal trends in outpatient antibiotic use and antibiotic prescribing practice among older adults in a high income country.DesignObservational study using United States Medicare administrative claims in 2011-15.SettingMedicare, a US national healthcare program for which 98% of older adults are eligible.Participants4.5 million fee-for-service Medicare beneficiaries aged 65 years old and older.Main outcome measurementsOverall rates of antibiotic prescription claims, rates of potentially appropriate and inappropriate prescribing, rates for each of the most frequently prescribed antibiotics, and rates of antibiotic claims associated with specific diagnoses. Trends in antibiotic use were estimated by multivariable regression adjusting for beneficiaries’ demographic and clinical covariates.ResultsThe number of antibiotic claims fell from 1364.7 to 1309.3 claims per 1000 beneficiaries per year in 2011-14 (adjusted reduction of 2.1% (95% confidence interval 2.0% to 2.2%)), but then rose to 1364.3 claims per 1000 beneficiaries per year in 2015 (adjusted reduction of 0.20% over 2011-15 (0.09% to 0.30%)). Potentially inappropriate antibiotic claims fell from 552.7 to 522.1 per 1000 beneficiaries over 2011-14, an adjusted reduction of 3.9% (3.7% to 4.1%). Individual antibiotics had heterogeneous changes in use. For example, azithromycin claims per beneficiary decreased by 18.5% (18.2% to 18.8%) while levofloxacin claims increased by 27.7% (27.2% to 28.3%). Azithromycin use associated with each of the potentially appropriate and inappropriate respiratory diagnoses decreased, while levofloxacin use associated with each of those diagnoses increased.ConclusionAmong US Medicare beneficiaries, overall antibiotic use and potentially inappropriate use in 2011-15 remained steady or fell modestly, but individual drugs had divergent changes in use. Trends in drug use across indications were stronger than trends in use for individual indications, suggesting that guidelines and concerns about antibiotic resistance were not major drivers of change in antibiotic use.

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