Psychosocial interventions that target adult cancer survivors’ reintegration into daily life after active cancer treatment: a scoping review
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Notice bibliographique
Résumé
OBJECTIVE: This review explored psychosocial interventions targeting adult cancer survivors' reintegration following active cancer treatment. This included the types of interventions tested and the tools used to measure reintegration. INTRODUCTION: Cancer survivors face lingering health issues following the completion of cancer treatment. Many cancer survivors still experience unmet psychosocial care needs despite receiving follow-up care. Further, many survivorship interventions do not specifically address outcomes important to survivors. A number of primary studies have identified reintegration as an outcome important to cancer survivors. Reintegration is a concept that focuses on returning to normal activities, routines, and social roles after cancer treatment; however, it is emerging and abstract. INCLUSION CRITERIA: Studies involving adult cancer survivors (18 years or older at diagnosis) of any cancer type or stage were included in this review. Studies with psychosocial interventions targeted at reintegrating the person into daily life after cancer treatment were included. Interventions addressing clinical depression or anxiety, and interventions treating solely physical needs that were largely medically focused were excluded. METHODS: A literature search was conducted in MEDLINE (Ovid), CINAHL (EBSCOhost), and Embase. Gray literature was searched using ProQuest Dissertations and Theses (ProQuest). Reference lists of included studies were searched. Studies were screened at the title/abstract and full-text levels, and 2 independent reviewers extracted data. Manuscripts in languages other than English were excluded due to feasibility (eg, cost, time of translations). Findings were summarized narratively and reported in tabular and diagrammatic format. RESULTS: The 3-step search strategy yielded 5617 citations. After duplicates were removed, the remaining 4378 citations were screened at the title and abstract level, then the remaining 306 citations were evaluated at the full-text level by 2 independent reviewers. Forty studies were included that evaluated psychosocial interventions among adult cancer survivors trying to reintegrate after active cancer treatment (qualitative n=23, mixed methods n=8, quantitative n=8, systematic review n=1). Included articles spanned 10 different countries/regions. Over half of all included articles (n=25) focused primarily on breast cancer survivors. Many studies (n=17) were conducted in primary care or community-based settings. The most common types of interventions were peer-support groups (n=14), follow-up education and support (n=14), exercise programs (n=6), and multidisciplinary/multicomponent programs (n=6). While the majority of included studies characterized the outcome qualitatively, 9 quantitative tools were also employed. CONCLUSIONS: This review identified 6 types of interventions to reintegrate survivors back into their daily lives following cancer treatment. An important thread across intervention types was a focus on personalization in the form of problem/goal identification. Given the number of qualitative studies, future research could include a qualitative systematic review and meta-aggregation. Quantitative tools may not be as effective for evaluating reintegration. More primary studies, including mixed methods studies, utilizing consistent measurement tools are required. Furthermore, this work provides a basis for future research to continue examining the complexity of implementing such interventions to successfully achieve reintegration. To do so, primary studies evaluating interventions from an implementation science and complex systems perspective would be useful. REVIEW REGISTRATION: Open Science Framework https://osf.io/r6bmx.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,003 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle