Dataset Information

Quality of care for comorbid conditions during the transition to survivorship: differences between cancer survivors and noncancer controls.

ABSTRACT:

Purpose

Building on previous research documenting differences in preventive care quality between cancer survivors and noncancer controls, this study examines comorbid condition care.

Methods

Using data from the Surveillance, Epidemiology, and End Results (SEER) -Medicare database, we examined comorbid condition quality of care in patients with locoregional breast, prostate, or colorectal cancer diagnosed in 2004 who were age ? 66 years at diagnosis, who had survived ? 3 years, and who were enrolled in fee-for-service Medicare. Controls were frequency matched to cases on age, sex, race, and region. Quality of care was assessed from day 366 through day 1,095 postdiagnosis using published indicators of chronic (n = 10) and acute (n = 19) condition care. The proportion of eligible cancer survivors and controls who received recommended care was compared by using Fisher's exact tests. The chronic and acute indicators, respectively, were then combined into single logistic regression models for each cancer type to compare survivors' care receipt to that of controls, adjusting for clinical and sociodemographic variables and controlling for within-patient variation.

Results

The sample matched 8,661 cancer survivors to 17,322 controls (mean age, 75 years; 65% male; 85% white). Colorectal cancer survivors were less likely than controls to receive appropriate care on both the chronic (odds ratio [OR], 0.88; 95% CI, 0.81 to 0.95) and acute (OR, 0.72; 95% CI, 0.61 to 0.85) indicators. Prostate cancer survivors were more likely to receive appropriate chronic care (OR, 1.28; 95% CI, 1.19 to 1.38) but less likely to receive quality acute care (OR, 0.75; 95% CI, 0.65 to 0.87). Breast cancer survivors received care equivalent to controls on both the chronic (OR, 1.06; 95% CI, 0.96 to 1.17) and acute (OR, 0.92; 95% CI, 0.76 to 1.13) indicators.

Conclusion

Because we found differences by cancer type, research exploring factors associated with these differences in care quality is needed.

SUBMITTER: Snyder CF

PROVIDER: S-EPMC3595422 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature

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Publications

Quality of care for comorbid conditions during the transition to survivorship: differences between cancer survivors and noncancer controls.

Snyder Claire F CF Frick Kevin D KD Herbert Robert J RJ Blackford Amanda L AL Neville Bridget A BA Wolff Antonio C AC Carducci Michael A MA Earle Craig C CC

Journal of clinical oncology : official journal of the American Society of Clinical Oncology 20130211 9

<h4>Purpose</h4>Building on previous research documenting differences in preventive care quality between cancer survivors and noncancer controls, this study examines comorbid condition care.<h4>Methods</h4>Using data from the Surveillance, Epidemiology, and End Results (SEER) -Medicare database, we examined comorbid condition quality of care in patients with locoregional breast, prostate, or colorectal cancer diagnosed in 2004 who were age ≥ 66 years at diagnosis, who had survived ≥ 3 years, and ...[more]

PMID: 23401438

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Project description:PurposeOlder cancer survivors (≥ 65 years at diagnosis) are at high-risk for multimorbidity (2 + comorbid conditions). However, few studies have utilized a generalizable sample of older cancer survivors to understand how individual comorbid conditions, as opposed to total comorbidity burden, are associated with health-related quality of life (HRQOL). We examined associations between HRQOL outcomes (pain, fatigue, physical function), individual comorbidities (cardiovascular disease [CVD], lung disease, diabetes, arthritis) and total comorbidity (cancer-only, cancer + 1 condition, cancer + 2 or more conditions).MethodsUtilizing a population-based sample of 2019 older cancer survivors, we tested associations between comorbid conditions and the HRQOL outcomes using generalized linear models. HRQOL domains were assessed using Patient-Reported Outcome Measurement Information System® (PROMIS®) measures. Comorbidity was assessed via self-report.ResultsCancer survivors with lung disease reported significantly worse physical functioning (β = - 4.96, p < 0.001), survivors with arthritis reported significantly higher pain (β = 4.37, p < 0.001), and survivors with CVD reported significantly higher fatigue (β = 3.45, p < 0.001) compared to survivors without each condition. Having cancer + 1 condition was not as strongly associated with all outcomes as when individual conditions were tested (e.g. pain: β = 3.09, p < 0.001). Having 2+ comorbidities had a stronger association with all outcomes (e.g. physical function: β = - 7.51, p < 0.001) than examining conditions individually.ConclusionsKnowing the specific comorbid condition profile of an older cancer survivor provides insight into specific HRQOL outcomes that may be impaired in cancer survivorship, but understanding total comorbidity burden, regardless of the specific conditions, sheds light on survivors at-risk for multiple impairments in HRQOL. This information, taken together, can inform risk-stratified survivorship care.

Project description:BACKGROUND:An increasing number of people are living with multiple chronic conditions and it is unclear which quality indicators should be used to guide care for this population. OBJECTIVE:To critically appraise and select the most appropriate set of quality indicators for ambulatory care for older adults with five selected disease combinations. METHODS:A two-round web-based Delphi process was used to critically appraise and select quality of care indicators for older adults with diabetes and comorbidities. A fifteen-member Canadian expert panel with broad geographical and clinical representation participated in this study. The panel evaluated process indicators for meaningfulness, potential for improvements in clinical practice, and overall value of inclusion, while outcome indicators were evaluated for importance, modifiability and overall value of inclusion. A 70% agreement threshold was required for high consensus, and 60-69% for moderate consensus as measured on a 5-point Likert type scale. RESULTS:Twenty high-consensus and nineteen medium-consensus process and outcome indicators were selected for assessing care for older adults with selected disease combinations, including 1) concordant (conditions with a common management plan), 2) discordant (conditions with unrelated management plans), and 3) both types. Panelists reached rapid consensus on quality indicators for care for older adults with concordant comorbid conditions, but not for those with discordant conditions. All selected indicators assess clinical aspects of care. The feedback from the panelists emphasized the importance of developing indicators related to patient-centred aspects of care, including patient self-management, education, patient-physician relationships, and patient's preferences. CONCLUSIONS:The selected quality indicators are not intended to provide a comprehensive tool set for measuring quality of care for older adults with selected disease combinations. The recommended indicators address clinical aspects of care and can be used as a starting point for ambulatory care settings and development of additional quality indicators.

Project description:BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has had wide-ranging health effects and increased isolation. Older with cancer patients might be especially vulnerable to loneliness and poor mental health during the pandemic.MethodsThe authors included active participants enrolled in the longitudinal Thinking and Living With Cancer study of nonmetastatic breast cancer survivors aged 60 to 89 years (n = 262) and matched controls (n = 165) from 5 US regions. Participants completed questionnaires at parent study enrollment and then annually, including a web-based or telephone COVID-19 survey, between May 27 and September 11, 2020. Mixed-effects models were used to examine changes in loneliness (a single item on the Center for Epidemiologic Studies-Depression [CES-D] scale) from before to during the pandemic in survivors versus controls and to test survivor-control differences in the associations between changes in loneliness and changes in mental health, including depression (CES-D, excluding the loneliness item), anxiety (the State-Trait Anxiety Inventory), and perceived stress (the Perceived Stress Scale). Models were adjusted for age, race, county COVID-19 death rates, and time between assessments.ResultsLoneliness increased from before to during the pandemic (0.211; P = .001), with no survivor-control differences. Increased loneliness was associated with worsening depression (3.958; P < .001) and anxiety (3.242; P < .001) symptoms and higher stress (1.172; P < .001) during the pandemic, also with no survivor-control differences.ConclusionsCancer survivors reported changes in loneliness and mental health similar to those reported by women without cancer. However, both groups reported increased loneliness from before to during the pandemic that was related to worsening mental health, suggesting that screening for loneliness during medical care interactions will be important for identifying all older women at risk for adverse mental health effects of the pandemic.

Dataset Information

Quality of care for comorbid conditions during the transition to survivorship: differences between cancer survivors and noncancer controls.

Purpose

Methods

Results

Conclusion

Publications

Quality of care for comorbid conditions during the transition to survivorship: differences between cancer survivors and noncancer controls.

Similar Datasets

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