Dataset Information

Metacontrol of decision-making strategies in human aging.

ABSTRACT: Humans employ different strategies when making decisions. Previous research has reported reduced reliance on model-based strategies with aging, but it remains unclear whether this is due to cognitive or motivational factors. Moreover, it is not clear how aging affects the metacontrol of decision making, that is the dynamic adaptation of decision-making strategies to varying situational demands. In this cross-sectional study, we tested younger and older adults in a sequential decision-making task that dissociates model-free and model-based strategies. In contrast to previous research, model-based strategies led to higher payoffs. Moreover, we manipulated the costs and benefits of model-based strategies by varying reward magnitude and the stability of the task structure. Compared to younger adults, older adults showed reduced model-based decision making and less adaptation of decision-making strategies. Our findings suggest that aging affects the metacontrol of decision-making strategies and that reduced model-based strategies in older adults are due to limited cognitive abilities.

SUBMITTER: Bolenz F

PROVIDER: S-EPMC6703898 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Metacontrol of decision-making strategies in human aging.

Bolenz Florian F Kool Wouter W Reiter Andrea Mf AM Eppinger Ben B

eLife 20190809

Humans employ different strategies when making decisions. Previous research has reported reduced reliance on model-based strategies with aging, but it remains unclear whether this is due to cognitive or motivational factors. Moreover, it is not clear how aging affects the metacontrol of decision making, that is the dynamic adaptation of decision-making strategies to varying situational demands. In this cross-sectional study, we tested younger and older adults in a sequential decision-making task ...[more]

PMID: 31397670

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Project description:AIM:The aim of this study was to explore shared decision-making among residents, their families and staff to determine relevant strategies to support shared decision-making in long-term care (LTC). BACKGROUND:Meaningful engagement of long-term care home (LTCH) residents and their families in care decisions is key in the provision of quality of care. Shared decision-making is an interprofessional approach to increasing resident and family engagement in care decisions which can lead to higher quality decisions, more relevant care interventions and greater resident, family, and staff satisfaction. Despite these advantages, shared decision-making has not been widely implemented in practice in LTC. METHODS:The study took place in one LTCH in Toronto, Ontario, Canada. A qualitative descriptive design was used to explore how residents, family members and staff described how they collaborate when making decisions concerning resident care, and their perceptions of facilitators and challenges to a collaborative approach to decision-making. Individual interviews were conducted with nine participants: residents, families and staff. Data were analysed using content and thematic analysis. FINDINGS:Four main themes that described resident, family and staff perspectives of shared decision-making were as follows: (a) oral communication pathways for information sharing; (b) supporting resident decision-making autonomy; (c) relational aspects of care facilitate shared decision-making; and (d) lack of effective communication creates barriers to shared decision-making. CONCLUSION:As the demand for LTC continues to increase, it is crucial that healthcare providers engage in collaborative, relational practices that foster high-quality resident care. While a relational approach to care can facilitate shared decision-making, there are opportunities to further cultivate shared decision-making in LTCHs through more effective communication and collaboration. IMPLICATIONS FOR PRACTICE:Understanding how information is shared and decisions are made can facilitate shared decision-making in LTCHs. The strategies identified from this study could be further co-developed and implemented in LTCHs.

Dataset Information

Metacontrol of decision-making strategies in human aging.

Publications

Metacontrol of decision-making strategies in human aging.

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