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Mental and physical health correlates among family caregivers of patients with newly-diagnosed incurable cancer: a hierarchical linear regression analysis.

ABSTRACT: PURPOSE:Caregiver, relational, and patient factors have been associated with the health of family members and friends providing care to patients with early-stage cancer. Little research has examined whether findings extend to family caregivers of patients with incurable cancer, who experience unique and substantial caregiving burdens. We examined correlates of mental and physical health among caregivers of patients with newly-diagnosed incurable lung or non-colorectal gastrointestinal cancer. METHODS:At baseline for a trial of early palliative care, caregivers of participating patients (N = 275) reported their mental and physical health (Medical Outcome Survey-Short Form-36); patients reported their quality of life (Functional Assessment of Cancer Therapy-General). Analyses used hierarchical linear regression with two-tailed significance tests. RESULTS:Caregivers' mental health was worse than the U.S. national population (M = 44.31, p < .001), yet their physical health was better (M = 56.20, p < .001). Hierarchical regression analyses testing caregiver, relational, and patient factors simultaneously revealed that younger (B = 0.31, p = .001), spousal caregivers (B = -8.70, p = .003), who cared for patients reporting low emotional well-being (B = 0.51, p = .01) reported worse mental health; older (B = -0.17, p = .01) caregivers with low educational attainment (B = 4.36, p < .001) who cared for patients reporting low social well-being (B = 0.35, p = .05) reported worse physical health. CONCLUSIONS:In this large sample of family caregivers of patients with incurable cancer, caregiver demographics, relational factors, and patient-specific factors were all related to caregiver mental health, while caregiver demographics were primarily associated with caregiver physical health. These findings help identify characteristics of family caregivers at highest risk of poor mental and physical health who may benefit from greater supportive care.

SUBMITTER: Shaffer KM

PROVIDER: S-EPMC5269509 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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Mental and physical health correlates among family caregivers of patients with newly-diagnosed incurable cancer: a hierarchical linear regression analysis.

Shaffer Kelly M KM Jacobs Jamie M JM Nipp Ryan D RD Carr Alaina A Jackson Vicki A VA Park Elyse R ER Pirl William F WF El-Jawahri Areej A Gallagher Emily R ER Greer Joseph A JA Temel Jennifer S JS

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer 20161119 3

<h4>Purpose</h4>Caregiver, relational, and patient factors have been associated with the health of family members and friends providing care to patients with early-stage cancer. Little research has examined whether findings extend to family caregivers of patients with incurable cancer, who experience unique and substantial caregiving burdens. We examined correlates of mental and physical health among caregivers of patients with newly-diagnosed incurable lung or non-colorectal gastrointestinal ca ...[more]

PMID: 27866337

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Project description:BackgroundIndividuals with advanced, incurable cancer often experience high physical and psychological symptom burden. Family and friend caregivers are at risk for emotional distress.PurposeThe aim of the study is to investigate the interrelationship of distress in patient-caregiver dyads at the time of newly diagnosed incurable cancer.MethodsFrom May 2011 to July 2015, within 8 weeks of diagnosis of advanced lung or noncolorectal gastrointestinal cancer, 350 patients and 275 family caregivers were enrolled in a randomized controlled trial of early palliative care. Actor-partner interdependence modeling was used to examine relationships between dyad's self-reported anxiety and depressive symptoms on the Hospital Anxiety and Depression Scale at baseline.ResultsComparing patients with caregivers, patients reported more depressive symptoms (M diff = .84; t[274] = 3.17, p = .002, d = .22) and caregivers reported more anxiety symptoms (M diff =1.62, t[274] = 4.91, p < .001, d = .39). Dyads' anxiety symptoms were positively associated, as were depressive symptoms (rs = .21, ps ≤ .001). Actor-partner interdependence modeling showed that patients' anxiety symptoms were positively associated with their own depressive symptoms, with an equal effect for caregivers (actor effect βs = 0.52, ps < .001). Patients' own anxiety was concurrently positively associated with their caregivers' depressive symptoms, with an equal effect for caregivers to patients (partner effect βs=0.08, ps=.008).ConclusionsIn the context of newly diagnosed incurable cancer, caregivers experience more pronounced anxiety, while patients report greater depressive symptoms. Findings indicate that anxiety and depressive symptoms are interrelated among dyads facing newly diagnosed incurable disease. Results emphasize the importance of addressing distress in both patients and caregivers. Future research should discern when dyadic versus individual psychosocial interventions would be optimal.Trial registration numberThe trial was registered with the ClinicalTrials.gov database (NCT02349412) https://clinicaltrials.gov/ct2/show/NCT02349412 .

Project description:BackgroundOnline health care services are a possible solution to alleviate the lack of medical resources in rural areas, and further understanding of the related medical service pricing system would contribute to improvement of the online health care community (OHC). Although many studies have investigated the OHC, the impact of physicians' reputations and wage levels on consulting prices in the OHC has rarely been discussed in the literature.ObjectiveThis study was designed to explore the determinants of consulting prices in the OHC. We addressed the following questions: (1) Are the prices of online health consultation services affected by wage levels at the doctor's location? (2) How does a physician's online and offline reputation affect their consulting prices?MethodsEmploying a large-scale sample of 16,008 doctors in China, we first used descriptive statistics to investigate the determinants of consulting prices in their entirety. Hierarchical linear modeling was then used to investigate the determinants of consulting prices in the OHC.ResultsThe empirical results led to the conclusion that if doctors have more elevated clinic titles, work in higher-level hospitals, have better online reputations, and/or have made more past sales, their consulting prices will be higher. Additionally, the wage level in the city in which the doctor is working determines their opportunity cost and therefore also affects consulting prices.ConclusionsThe findings indicate that the characteristics of the doctor, the doctor's online reputation, and past sales affect the consulting price. In particular, the wage level in the city affects the price of the consultation. These findings highlight that the OHC is important because it can indeed break through geographical restrictions and give rural residents the opportunity to obtain medical service from doctors in big cities. However, doctors from cities often charge higher fees because of their higher opportunity cost. The results reveal that one of the most important functions of the OHC is to reduce the medical disparity between urban and rural areas; however, planners appear to ignore the possibility that rural residents with lower incomes may not be able to afford such high medical consultation costs. Therefore, the government should consider providing incentives to encourage urban doctors to provide discounts to rural residents or directly offer appropriate subsidies.

Dataset Information

Mental and physical health correlates among family caregivers of patients with newly-diagnosed incurable cancer: a hierarchical linear regression analysis.

Publications

Mental and physical health correlates among family caregivers of patients with newly-diagnosed incurable cancer: a hierarchical linear regression analysis.

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