A Qualitative Investigation of Health Care Professionals’, Patients’ and Partners’ Views on Psychosocial Issues and Related Interventions for Couples Coping with Cancer
Bibliographic record
Abstract
INTRODUCTION: There is growing evidence that cancer affects couples as an interdependent system and that couple-based psychosocial interventions are efficacious in reducing distress and improving coping skills. However, adoption of a couples-focused approach into cancer care is limited. Previous research has shown that patients and partners hold differing views from health care professionals (HCPs) regarding their psychosocial needs, and HCPs from different disciplines also hold divergent views regarding couples' psychosocial needs. This study aimed to explore the perspectives of HCPs and couples on the provision of couple-focused psychosocial care in routine cancer services. METHODS: A qualitative study using semi-structured interviews was undertaken with 20 HCPs (medical oncologists, nurses, psycho-oncology professionals) and 20 couples where one member had been diagnosed with cancer (breast, prostate, head/neck, bowel, multiple myeloma). Interviews were analysed using the framework approach. RESULTS: Three core themes were identified: "How Do Couples Cope with Cancer?" emphasised the positive and negative coping strategies used by couples, and highlighted that partners perceived a lack of engagement by HCPs. "What Is Couple-focused Psychosocial Care for People with Cancer?" described varying perspectives regarding the value of couple-focused psychosocial care and variation in the types of support couples need among HCPs and couples. Whereas most couples did not perceive a need for specialist couple-focused support and interventions, most HCPs felt couple-focused psychosocial care was necessary. "How Can Couple-Focused Psychosocial Care be Improved?" described couples' view of a need for better provision of information, and the importance of their relationship with oncology clinicians. HCPs identified a lack of confidence in responding to the emotional needs of couples, and barriers to providing psychosocial care, including challenges identifying distress (through screening) and referring distressed individuals/couples for specialist assessment. CONCLUSIONS: The three core themes revealed discrepancies about couple-focused psychosocial care between HCPs and couples, and HCPs from different professional backgrounds, and several barriers to the provision of psychosocial care for couples. Despite HCPs and couples acknowledging that a couple-focused approach to psycho-social support was potentially beneficial, the majority of couples did not feel they needed specific couple-focused interventions. These issues and recommendations for future research are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".