Empowering family carers of people with multimorbidity as partners in chronic health care: Insights from health professionals

Developing a conceptual model for understanding caregiving experience and their impacts on quality of life for Chinese breast cancer family caregivers: A qualitative study

AIM

The purpose of this study was to understand the caregiving experiences of breast cancer family caregivers and explore the profound impacts of those experiences on their quality of life.

DESIGN

A qualitative research method was used.

METHODS

We extended invitations to 23 family caregivers of outpatients and inpatients receiving breast surgery and oncology treatments in Taiyuan, China, to participate in semi-structured interviews. The interviews were audio-recorded and transcribed verbatim. Thematic analysis was employed to analyse the interview data.

RESULTS

Four themes and associated categories were identified: (1) changes in family dynamics, (2) the socio-medical context, (3) interactions between family and society, (4) self-efficacy and nine subthemes and their related categories, where virtually all participants expressed future uncertainty, emotional contagion, and personal challenges, and self-efficacy had a moderating influence on the first three themes.

PATIENT OR PUBLIC CONTRIBUTION

This study did not involve direct participation of patients or the public. However, their experiences and perspectives on caregiving were indirectly reflected through the insights provided by the family caregivers who participated in the interviews. Their valuable input contributed to a deeper understanding of the caregiving experience and its impact on the quality of life for Chinese breast cancer family caregivers.

Interventions and management on multimorbidity: An overview of systematic reviews

BACKGROUND

Multimorbidity poses an immense burden on the healthcare systems globally, whereas the management strategies and guidelines for multimorbidity are poorly established. We aim to synthesize current evidence on interventions and management of multimorbidity.

METHODS

We searched four electronic databases (PubMed, Embase, Web of Science, and the Cochrane Database of Systematic Reviews). Systematic reviews (SRs) on interventions or management of multimorbidity were included and evaluated. The methodological quality of each SR was assessed by the AMSTAR-2 tool, and the quality of evidence on the effectiveness of interventions was assessed by the grading of recommendations assessment, development and evaluation (GRADE) system.

RESULTS

A total of 30 SRs (464 unique underlying studies) were included, including 20 SRs of interventions and 10 SRs summarizing evidence on management of multimorbidity. Four categories of interventions were identified: patient-level interventions, provider-level interventions, organization-level interventions, and combined interventions (combining the aforementioned two or three- level components). The outcomes were categorized into six types: physical conditions/outcomes, mental conditions/outcomes, psychosocial outcomes/general health, healthcare utilization and costs, patients' behaviors, and care process outcomes. Combined interventions (with patient-level and provider-level components) were more effective in promoting physical conditions/outcomes, while patient-level interventions were more effective in promoting mental conditions/outcomes and psychosocial outcomes/general health. As for healthcare utilization and care process outcomes, organization-level and combined interventions (with organization-level components) were more effective. The challenges in the management of multimorbidity at the patient, provider and organizational levels were also summarized.

CONCLUSION

Combined interventions for multimorbidity at different levels would be favored to promote different types of health outcomes. Challenges exist in the management at the patient, provider, and organization levels. Therefore, a holistic and integrated approach of patient-, provider- and organization- level interventions is required to address the challenges and optimize care of patients with multimorbidity.