scholarly journals Defining multimorbidity and its impact in older United States Veterans newly treated for multiple myeloma

Author(s):  
Nathanael Fillmore ◽  
Clark DuMontier ◽  
Cenk Yildirim ◽  
Jennifer La ◽  
Mara M Epstein ◽  
...  

Abstract Background Traditional count-based measures of comorbidity are unlikely to capture the complexity of multiple chronic conditions (multimorbidity) in older adults with cancer. We aimed to define patterns of multimorbidity and their impact in older United States Veterans with multiple myeloma (MM). Methods We measured 66 chronic conditions in 5,076 Veterans age ≥ 65 years newly-treated for MM in the national Veterans Affairs healthcare system from 2004 to 2017. Latent class analysis (LCA) was used to identify patterns of multimorbidity among these conditions. These patterns were then assessed for their association with overall survival, our primary outcome. Secondary outcomes included emergency department visits and hospitalizations. Results Five patterns of multimorbidity emerged from the LCA, and survival varied across these patterns (log-rank two-sided p < .001). Older Veterans with cardiovascular and metabolic disease (30.9%, hazard ratio [HR] = 1.33, 95% confidence interval [CI] = 1.21 to 1.45); psychiatric and substance use disorders (9.7%, HR = 1.58, 95% CI = 1.39 to 1.79); chronic lung disease (15.9%, HR = 1.69, 95% CI = 1.53 to 1.87); and multisystem impairment (13.8%, HR = 2.25, 95% CI = 2.03 to 2.50) had higher mortality compared to Veterans with minimal comorbidity (29.7%, reference). Associations with mortality were maintained after adjustment for socio-demographic variables, measures of disease risk, and the count-based Charlson Comorbidity Index. Multimorbidity patterns were also associated with emergency department visits and hospitalizations. Conclusions Our findings demonstrate the need to move beyond count-based measures of comorbidity and consider cancer in the context of multiple chronic conditions.

BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e030030
Author(s):  
Filipa Pereira ◽  
Pauline Roux ◽  
Marie Santiago-Delefosse ◽  
Armin von Gunten ◽  
Boris Wernli ◽  
...  

IntroductionOptimal medication management is one of the basic conditions necessary for home-dwelling older adults living with multiple chronic conditions (OAMCC) to be able to remain at home and preserve their quality of life. Currently, the reasons for such high numbers of emergency department visits and the very significant rate of hospitalisations for OAMCC, due to medication-related problems (MRPs), is poorly explored. This study aims to reveal the current state of the medication management practices of polymedicated, home-dwelling OAMCC and to make proposals for improving clinical and medication pathways through an innovative and integrated model for supporting medication management and preventing adverse health outcomes.Methods and analysisA mixed-methods study will address the medication management of polymedicated, home-dwelling OAMCC. Its explanatory sequential design will involve two major phases conducted sequentially over time. The quantitative phase will consist of retrospectively exploiting the last 5 years of electronic patient records from a local hospital (N ≈ 50 000) in order to identify the different profiles—made up of patient-related, medication-related and environment-related factors—of the polymedicated, home-dwelling OAMCC at risk of hospitalisation, emergency department visits, hospital readmission (notably for MRPs), institutionalisation or early death. The qualitative study will involve: (a) obtaining and understanding the medication management practices and experiences of the identified profiles extracted from the hospital data of OAMCC who will be interviewed at home (N ≈ 30); (b) collecting and analysing the perspectives of the formal and informal caregivers involved in medication management at home in order to cross-reference perspectives about this important dimension of care at home. Finally, the mixed-methods findings will enable the development of an innovative, integrated model of medication management based on the Agency for Clinical Innovation framework and Bodenheimer and Sinsky’s quadruple aim.Ethics and disseminationEthical approval has been obtained from the Human Research Ethics Committee of the Canton Vaud (2018-02196). Findings will be disseminated in peer-reviewed journals, professional conferences and other knowledge transfer activities with primary healthcare providers, hospital care units, informal caregivers’ and patients’ associations.


2020 ◽  
pp. 107755872095258
Author(s):  
Sungchul Park ◽  
Brent A. Langellier ◽  
Robert E. Burke ◽  
Jose F. Figueroa ◽  
Norma B. Coe

Rapid growth of Medicare Advantage (MA) plans has the potential to change clinical practice for both MA and fee-for-service (FFS) beneficiaries, particularly for high-need, high-cost beneficiaries with multiple chronic conditions or a costly single condition. We assessed whether MA growth from 2010 to 2017 spilled over to county-level per capita spending, emergency department visits, and readmission rates among FFS beneficiaries, and how much this varied by the comorbidity burden of the beneficiary. We also examined whether the association between MA growth and per capita spending in FFS varied in beneficiaries with specific chronic conditions. MA growth was associated with decreased FFS spending and emergency department visits only among beneficiaries with six or more chronic conditions. MA growth was associated with decreased FFS spending among beneficiaries with 11 of the 20 chronic conditions. This suggests that MA growth may drive improvements in efficiency of health care delivery for high-need, high-cost beneficiaries.


2021 ◽  
Vol 9 (1) ◽  
pp. 232596712097540
Author(s):  
Jessica M. Zendler ◽  
Ron Jadischke ◽  
Jared Frantz ◽  
Steve Hall ◽  
Grant C. Goulet

Background: Non-tackle football (ie, flag, touch, 7v7) is purported to be a lower-risk alternative to tackle football, particularly in terms of head injuries. However, data on head injuries in non-tackle football are sparse, particularly among youth participants. Purpose: To describe the epidemiology of  emergency department visits for head injuries due to non-tackle football among youth players in the United States and compare the data with basketball, soccer, and tackle football. Study Design: Descriptive epidemiology study. Methods: Injury data from 2014 to 2018 were obtained from the National Electronic Injury Surveillance System database. Injury reports coded for patients aged 6 to 18 years and associated with basketball, football, or soccer were extracted. Data were filtered to include only injuries to the head region, specifically, the head, ear, eyeball, mouth, or face. Football injuries were manually assigned to “non-tackle” or “tackle” based on the injury narratives. Sports & Fitness Industry Association data were used to estimate annual sport participation and calculate annual injury rates per 100,000 participant-years. Results: A total of 26,770 incident reports from 2014 to 2018 were analyzed. For head region injuries in non-tackle football, the head was the most commonly injured body part, followed by the face; the most common diagnosis was a laceration, followed by concussion and internal injury (defined as an unspecified head injury or internal head injury [eg, subdural hematoma or cerebral contusion]). The most common contacting object was another player. The projected national rate of head region injuries was lowest for non-tackle football across the 4 sports. In particular, the projected rate of injuries to the head for non-tackle football (78.0 per 100,000 participant-years) was less than one-fourth the rates for basketball (323.5 per 100,000 participant-years) and soccer (318.2 per 100,000 participant-years) and less than one-tenth the rate for tackle football (1478.6 per 100,000 participant-years). Conclusion: Among youth in the United States aged 6 to 18 years who were treated in the emergency department for injuries related to playing non-tackle football, the most common diagnosis for injuries to the head region was a laceration, followed by a concussion. Head region injuries associated with non-tackle football occurred at a notably lower rate than basketball, soccer, or tackle football.


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