Browsing by Subject "Self care"

Now showing 1 - 4 of 4
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    Emotional Regulation and Diabetes Distress in Adults With Type 1 and Type 2 Diabetes
    (American Diabetes Association, 2021) Coccaro, Emil F.; Lazarus, Sophie; Joseph, Joshua; Wyne, Kathline; Drossos, Tina; Phillipson, Louis; de Groot, Mary; Medicine, School of Medicine
    Objective: To explore the correlates of diabetes-related distress (DD) with psychometrically valid assessments of emotional regulation in individuals with type 1 and type 2 diabetes. Research design and methods: Adults with diabetes (n = 298) were assessed for psychological issues possibly associated with diabetes and were further evaluated with measures of negative emotional experience (ER-Exp) and skill at regulating such experiences (ER-Skill) and measures of DD, perceived psychosocial stress, diabetes literacy, and diabetes self-care. Results: ER-Exp was directly related to DD, while ER-Skill was inversely related to DD. Together, these ER variables displayed a medium-size relationship (β = 0.45) with DD. Inclusion of variables related to diabetes self-care and perceived psychosocial stress was associated with only an 18% reduction (i.e., β = 0.45 to β = 0.38) in the strength of this relationship, while the magnitude of relationships between DD and perceived psychosocial stress (β = 0.15) and diabetes self-care (β = -0.09) was relatively small. Conclusions: These data suggest that DD is meaningfully linked with negative emotionality, and skill at regulating such emotions, in adults with diabetes. This relationship appears to be stronger than that between DD and perceived psychological stress or diabetes self-care. If so, DD (and possibly A1C) may be improved in those with diabetes and difficulties with negative emotionality.
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    Naturalistic Decision Making in Everyday Self-care Among Older Adults With Heart Failure
    (Wolters Kluwer, 2020-12-23) Daley, Carly N.; Cornet, Victor P.; Toscos, Tammy R.; Bolchini, Davide P.; Mirro, Michael J.; Holden, Richard J.; Regenstrief Institute, School of Medicine
    BACKGROUND: Every day, older adults living with heart failure make decisions regarding their health that may ultimately affect their disease trajectory. Experts describe these decisions as instances of naturalistic decision making influenced by the surrounding social and physical environment and involving shifting goals, high stakes, and the involvement of others. OBJECTIVE: This study applied a naturalistic decision-making approach to better understand everyday decision making by older adults with heart failure. METHODS: We present a cross-sectional qualitative field research study using a naturalistic decision-making conceptual model and critical incident technique to study health-related decision making. The study recruited 24 older adults with heart failure and 14 of their accompanying support persons from an ambulatory cardiology center. Critical incident interviews were performed and qualitatively analyzed to understand in depth how individuals made everyday health-related decisions. RESULTS: White, male (66.7%), older adults' decision making accorded with a preliminary conceptual model of naturalistic decision making occurring in phases of monitoring, interpreting, and acting, both independently and in sequence, for various decisions. Analyses also uncovered that there are barriers and strategies affecting the performance of these phases, other actors can play important roles, and health decisions are made in the context of personal priorities, values, and emotions. CONCLUSIONS: Study findings lead to an expanded conceptual model of naturalistic decision making by older adults with heart failure. In turn, the model bears implications for future research and the design of interventions grounded in the realities of everyday decision making.
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    Return on investment of self-measured blood pressure is associated with its use in preventing false diagnoses, not monitoring hypertension
    (PLOS, 2021-06-18) Arrieta, Alejandro; Woods, John; Wozniak, Gregory; Tsipas, Stavros; Rakotz, Michael; Jay, Stephen; Medicine, School of Medicine
    Previous research indicates that patient self-measured blood pressure (SMBP) is a cost-effective strategy for improving hypertension (HTN) diagnosis and control. However, it is unknown which specific uses of SMBP produce the most value. Our goal is to estimate, from an insurance perspective, the return-on-investment (ROI) and net present value associated with coverage of SMBP devices when used (a) only to diagnose HTN, (b) only to select and titrate medication, (c) only to monitor HTN treatment, or (d) as a bundle with all three uses combined. We employed national sample of claims data, Framingham risk predictions, and published sensitivity-specificity values of SMBP and clinic blood-pressure measurement to extend a previously-developed local decision-analytic simulation model. We then used the extended model to determine which uses of SMBP produce the most economic value when scaled to the U.S. adult population. We found that coverage of SMBP devices yielded positive ROIs for insurers in the short-run and at lifetime horizon when the three uses of SMBP were considered together. When each use was evaluated separately, positive returns were seen when SMBP was used for diagnosis or for medication selection and titration. However, returns were negative when SMBP was used exclusively to monitor HTN treatment. When scaled to the U.S. population, adoption of SMBP would prevent nearly 16.5 million false positive HTN diagnoses, thereby improving quality of care while saving insurance plans $254 per member. A strong economic case exists for insurers to cover the cost of SMBP devices, but it matters how devices are used.
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    Social Risk and Dialysis Facility Performance in the First Year of the ESRD Treatment Choices Model
    (American Medical Association, 2024) Koukounas, Kalli G.; Thorsness, Rebecca; Patzer, Rachel E.; Wilk, Adam S.; Drewry, Kelsey M.; Mehrotra, Rajnish; Rivera-Hernandez, Maricruz; Meyers, David J.; Kim, Daeho; Trivedi, Amal N.; Surgery, School of Medicine
    Importance: The End-Stage Renal Disease Treatment Choices (ETC) model randomly selected 30% of US dialysis facilities to receive financial incentives based on their use of home dialysis, kidney transplant waitlisting, or transplant receipt. Facilities that disproportionately serve populations with high social risk have a lower use of home dialysis and kidney transplant raising concerns that these sites may fare poorly in the payment model. Objective: To examine first-year ETC model performance scores and financial penalties across dialysis facilities, stratified by their incident patients' social risk. Design, setting, and participants: A cross-sectional study of 2191 US dialysis facilities that participated in the ETC model from January 1 through December 31, 2021. Exposure: Composition of incident patient population, characterized by the proportion of patients who were non-Hispanic Black, Hispanic, living in a highly disadvantaged neighborhood, uninsured, or covered by Medicaid at dialysis initiation. A facility-level composite social risk score assessed whether each facility was in the highest quintile of having 0, 1, or at least 2 of these characteristics. Main outcomes and measures: Use of home dialysis, waitlisting, or transplant; model performance score; and financial penalization. Results: Using data from 125 984 incident patients (median age, 65 years [IQR, 54-74]; 41.8% female; 28.6% Black; 11.7% Hispanic), 1071 dialysis facilities (48.9%) had no social risk features, and 491 (22.4%) had 2 or more. In the first year of the ETC model, compared with those with no social risk features, dialysis facilities with 2 or more had lower mean performance scores (3.4 vs 3.6, P = .002) and lower use of home dialysis (14.1% vs 16.0%, P < .001). These facilities had higher receipt of financial penalties (18.5% vs 11.5%, P < .001), more frequently had the highest payment cut of 5% (2.4% vs 0.7%; P = .003), and were less likely to achieve the highest bonus of 4% (0% vs 2.7%; P < .001). Compared with all other facilities, those in the highest quintile of treating uninsured patients or those covered by Medicaid experienced more financial penalties (17.4% vs 12.9%, P = .01) as did those in the highest quintile in the proportion of patients who were Black (18.5% vs 12.6%, P = .001). Conclusions: In the first year of the Centers for Medicare & Medicaid Services' ETC model, dialysis facilities serving higher proportions of patients with social risk features had lower performance scores and experienced markedly higher receipt of financial penalties.