Sociodemographic and health risk profile associated with participation in a private health insurance weight loss maintenance and chronic disease management program
Notice bibliographique
Résumé
Objective Identifying who participates in chronic disease management programs yields insights into program reach and appeal. This study investigated sustained participation in a remotely delivered weight loss maintenance program offered to Australian private health insurance members. Methods All participants completing an initial 18-week weight loss program were eligible for a maintenance phase. A pre-post test design was used and sociodemographic and anthropometric characteristics of those who did and did not opt in to the maintenance phase were compared using binary logistic regression. Results Maintenance phase participants lost more weight during the initial weight loss program (-2.2kg (P<0.001); body mass index -0.8kg/m2 (P<0.001)) than those who did not opt in. Participants who were obese (v. overweight) upon completion of the initial weight loss program were less likely to opt in to the maintenance phase (adjusted odds ratio (aOR) 1.76, 95% confidence interval (CI) 1.35-2.30, P<0.001) and participants aged ≥55 years were more likely to opt in (aOR 0.59, 95% CI 0.44-0.80, P<0.001) than those aged <55 years. Conclusions Understanding why health insurance members opt in to maintenance programs can assist the development of strategies to improve program reach. Younger participants and those who remain obese following a weight loss program may be targeted by private health insurers and service providers to increase weight loss maintenance program participation. What is known about the topic? Australian private health insurers offer chronic disease management programs to support members to manage obesity-related chronic disease. An 18-week weight loss and lifestyle modification program was extended to assist participants maintain weight loss and health benefits resulting from the initial program. This weight loss maintenance phase is novel in the private health insurance setting and is thought to be important to sustained health improvement. Although program reach is important to benefit those most in need, little is known about who sustains the use (or does not) of such programs. What does this paper add? This study provides an insight to the characteristics of participants more likely to opt in to a weight loss maintenance program. It highlights the sociodemographic and anthropometric characteristics associated with maintenance program uptake, identifying the subgroups less likely to opt in. These study findings are novel because they report on participation in a chronic disease management program with a focus on maintenance of weight loss. What are the implications for practitioners? These results will benefit private health insurers and service providers implementing maintenance programs for weight loss, providing an awareness of which participant groups to target to increase maintenance and reach. In addition, they offer avenues for future exploration, such as the generalisability and sustainability of chronic disease management programs. Although those not opting in are a difficult-to-access group, a qualitative study of reasons for not opting in to such a program would provide further information for program design, recruitment and retention.
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Comment cette classification a été obtenuedéplier
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 | 0,005 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».