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Open AccessJournal ArticleDOI

A systematic review and meta-analysis of psychosocial interventions for couples coping with cancer.

TLDR
Quality of life (QOL) is a multidimensional construct that includes physical, psychological, and relationship well‐being and it is important to consider both the physical and the psychological aspects of the quality of life.
Abstract
Quality of life (QOL) is a multidimensional construct that includes physical, psychological, and relationship well-being. We conducted a systematic review and meta-analysis of randomized controlled studies published between 1980 and 2012 of interventions conducted with both cancer patients and their partners that were aimed at improving QOL. Using bibliographic software and manual review, two independent raters reviewed 752 articles with a systematic process for reconciling disagreement, yielding 23 articles for systematic review and 20 for meta-analysis. Most studies were conducted in breast and prostate cancer populations. Study participants (N=2645) were primarily middle-aged (Mean = 55 years old) and white (84%). For patients, the weighted average effect size (g) across studies was 0.25 (95% CI = 0.12-0.32) for psychological outcomes (17 studies), 0.31 (95% CI = 0.11-0.50) for physical outcomes (12 studies), and 0.28 (95% CI = 0.14-0.43) for relationship outcomes (10 studies). For partners, the weighted average effect size was 0.21 (95% CI = 0.08-0.34) for psychological outcomes (12 studies), and 0.24 (95% CI = 0.6 - 0.43) for relationship outcomes (7 studies). Therefore, couple-based interventions had small but beneficial effects in terms of improving multiple aspects of QOL for both patients and their partners. Questions remain regarding when such interventions should be delivered and for how long. Identifying theoretically based mediators and key features that distinguish couple-based from patient-only interventions may help to strengthen their effects on patient and partner QOL.

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Journal ArticleDOI

Caring for caregivers and patients: Research and clinical priorities for informal cancer caregiving.

TL;DR: Recommendations are offered for moving science forward in 4 areas: improving the estimation of the prevalence and burden of informal cancer caregiving, advancing the development of interventions designed to improve outcomes for cancer patients, caregivers, and patient‐caregiver dyads, and promoting the use of technology to support informal cancer caregivers.
Journal ArticleDOI

Dyadic coping and relationship functioning in couples coping with cancer: a systematic review.

TL;DR: This review showed the importance of stress communication, supportive behaviours, and positive dyadic coping for the maintenance or enhancement of relationship functioning in couples coping with cancer.
Journal ArticleDOI

The Interdependence of Advanced Cancer Patients' and Their Family Caregivers' Mental Health, Physical Health, and Self-Efficacy over Time.

TL;DR: Patients’ and caregivers’ mental and physical health were interdependent, and patients and caregivers with higher self-efficacy had better mental health, and their partners had better physical health.
Journal ArticleDOI

Dyadic psychosocial intervention for advanced lung cancer patients and their family caregivers: results of a randomized pilot trial.

TL;DR: This pilot study examined the feasibility, acceptability, and preliminary efficacy of a 6‐session, telephone‐based dyadic psychosocial intervention that was developed for advanced lung cancer patients and their caregivers.
Journal ArticleDOI

The burden of psychosocial morbidity related to cancer: patient and family issues.

TL;DR: In this review the most significant psychosocial disorders causing burden for cancer patients and their caregivers are examined, and the main methods of assessment for more proper referral and treatment are summarized.
References
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Journal ArticleDOI

Measuring inconsistency in meta-analyses

TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
Journal ArticleDOI

Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.

TL;DR: In this paper, a rank-based data augmentation technique is proposed for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome.
Book

Dyadic Data Analysis

TL;DR: Although the text does give a brief snapshot of the subject, it is lacking in detail, applications, and opportunities for practice, and someone considering becoming involved in a data mining project or teaching an introductory course in the subject would be advised to learn much more.
Journal ArticleDOI

An introduction to meta-analysis.

TL;DR: This paper reviews the use ofMeta-Analysis as a data pooling technique in a non-technical manner and illustrates the type of information that can be obtained from a Meta-Analysis, that is not conventionally available from individual trials.
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