scholarly journals Preference of Older Adults for Flexibility in Service and Providers in Community-Based Social Care: A Discrete Choice Experiment

Author(s):  
Kailu Wang ◽  
Eliza Lai-Yi Wong ◽  
Amy Yuen-Kwan Wong ◽  
Annie Wai-Ling Cheung ◽  
Eng-Kiong Yeoh

Empowerment of control and choice of the service users in health and social care has been incorporated into service provision in various countries. This study aimed to elicit the preference of community-based long-term care (LTC) service users on levels of flexibility in service provision. A discrete choice experiment was performed among older community care service users to measure their preference for attributes of LTC services identified from a prior qualitative study. Each participant was asked to make choices in six choice tasks with two alternatives of hypothetical LTC services that were generated from the attributes. A generalized multinomial logistic model was applied to determine the relative importance and willingness to pay for the attributes. It found that the participants preferred multiple flexible providers, determining services by themselves, meeting case managers every month and social workers as sources of information on service provision. Significant preference heterogeneity was found for flexibility in providers and flexibility in services between those with and without activity of daily living impairment. The findings highlighted the preference of older adults for greater flexibility in LTC, while they rely heavily on social workers in decision making. The enhancement of flexibility in LTC should be supported by policies that allow the older service users to make decisions based on their own preferences or communication with social workers instead of determining the services and providers for them. Options should be offered to users to decide their preferred level of flexibility to better reflect their divided preferences.

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 677
Author(s):  
Eugena Stamuli ◽  
Gerry Richardson ◽  
Michael Robling ◽  
Michelle Edwards ◽  
David Torgerson ◽  
...  

Background: Complex health and social care interventions impact on a multitude of outcomes. One such intervention is the Family Nurse Partnership (FNP) programme, which was introduced to support young, first-time mothers. Our study quantified the relative values that the general public place on the outcomes of FNP, as they were identified and measured in the relevant randomized trial, Building Blocks trial (BBs). Methods: A discrete choice experiment (DCE) was employed. Respondents chose between two scenarios describing hypothetical sets of trial outcomes. BBs compared FNP care for teenagers expecting their first child with standard NHS care. 14 attributes covered three areas: pregnancy and birth, child development and maternal life course. Due to large number of attributes, a “blocked attributes” approach was adopted: the attributes were split across four designs which contained two common attributes. Data were analysed separately for each design as well as pooled across four designs. Random effects probit model was employed for the analysis. Results: Over 1000 participants completed four designs. The analyses on the separate designs and those on pooled data yielded broadly similar results. Respondents valued higher the outcomes related to child development and their needs, followed by the outcomes related to maternal life course. Preferences varied by the age of the respondents but not by their guardianship/parentship status.  Conclusions: Individual preferences were consistent with a priori expectations and were intuitive.  The DCE results can be used to incorporate the general public preferences into the decision making process for which public health and social care policies should be adopted.


2019 ◽  
Vol 233 ◽  
pp. 28-37 ◽  
Author(s):  
Brendan Mulhern ◽  
Richard Norman ◽  
Richard De Abreu Lourenco ◽  
Juliette Malley ◽  
Deborah Street ◽  
...  

2019 ◽  
Author(s):  
Mary P Tully ◽  
Cecilia Bernsten ◽  
Mhairi Aitken ◽  
Caroline Mary Vass

Abstract Objective: There are increasing examples of linking data on healthcare resource use and patient outcomes from different sectors of health and social care systems. Linked data are generally anonymised, meaning in most jurisdictions there are no legal restrictions to their use in research conducted by public or private organisations. Secondary use of anonymised linked data is contentious in some jurisdictions but other jurisdictions are known for their use of linked data. The publics’ perceptions of the acceptability of using linked data is likely to depend on a number of factors. This study aimed to quantify the preferences of the public to understand the factors that affected views about types of linked data and its use in two jurisdictions. Method: An online discrete choice experiment (DCE) previously conducted in Scotland was adapted and replicated in Sweden. The DCE was designed, comprising five attributes, to elicit the preferences from a representative sample of the public in both jurisdictions. The five attributes (number of levels) were: type of researcher using linked data (four); type of data being linked (four); purpose of the research (three); use of profit from using linked data (four); who oversees the research (four). Each DCE contained 6 choice-sets asking respondents to select their preferred option from two scenarios or state neither were acceptable. Background questions included socio-demographics. DCE data were analysed using conditional and heteroskedastic conditional logit models to create forecasts of acceptability. Results: The study sample comprised members of the public living in Scotland (n=1,004) and Sweden (n=974). All five attributes were important in driving respondents’ choices. Swedish and Scottish preferences were mostly homogenous with the exception of ‘who oversees the research using linked data’, which had relatively less impact on the choices observed from Scotland. For a defined ‘typical’ linked data scenario, the probability (on average) of acceptance was 85.7% in Sweden and 82.4% in Scotland. Conclusion: This study suggests that the public living in Scotland and Sweden are open to using anonymised linked data in certain scenarios for research purposes but some caution is advisable if the anonymised linked data joins health to non-health data.


2019 ◽  
Vol 69 (suppl 1) ◽  
pp. bjgp19X702821
Author(s):  
Di Bailey ◽  
Gabriella Mutale

BackgroundDespite the policy agenda for health and social care collaboration currently focused on integrated care systems, there is limited evidence that examines whether embedding social workers in integrated primary health and social care teams working with older adults is effective.AimThe study aimed to establish whether embedding social workers in integrated primary care teams (IPCTs) for older adults in Nottinghamshire was cost-effective.MethodA mixed methods approach collected quantitative and qualitative data that was triangulated using a TRI-Q model. Cost and care quality data were collected from patients in receipt of social worker involvement in three different IPCTs. Patients with similarly complex needs, who were receiving involvement from social work only district teams in the same localities acted as a comparator group. Interviews were conducted with patients and carers and with social workers and GPs working in the IPCTs. Seven focus groups were conducted with IPCT members representing social work and health disciplines.ResultsThe cost data were analysed using ANCOVA to identify any significant differences in costs across the teams. The result showed costs in two of the IPCTs were significantly lower than controls. Care quality indicators were also greater in these IPCTs. Thematic analysis highlighted the important of knowledge exchange that arose from social work embeddedness as indicative of the optimal conditions for effective integrated working and care delivery to be achieved.ConclusionThe findings suggested that embedding social workers in IPCTs offers both higher quality and more cost-effective care for older people if the optimum conditions for integration are met.


2013 ◽  
Vol 18 (5) ◽  
pp. 1204-1214 ◽  
Author(s):  
Simon Dixon ◽  
Susan A. Nancarrow ◽  
Pamela M. Enderby ◽  
Anna M. Moran ◽  
Stuart G. Parker

2017 ◽  
Vol 54 (6) ◽  
pp. 973-985 ◽  
Author(s):  
Barbara Gomes ◽  
Maja de Brito ◽  
Vera P. Sarmento ◽  
Deokhee Yi ◽  
Duarte Soares ◽  
...  

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