Use of a discrete choice experiment approach to elicit patients’ preferences for hip fracture rehabilitation services as part of a feasibility study
Research output: Contribution to journal › Meeting Abstract › peer-review
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In: The Lancet, Vol. 388, No. Supplement 2, 25.11.2016, p. S35.
Research output: Contribution to journal › Meeting Abstract › peer-review
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T1 - Use of a discrete choice experiment approach to elicit patients’ preferences for hip fracture rehabilitation services as part of a feasibility study
AU - Charles, Joanna
AU - Roberts, Jessica
AU - Din, Nafees
AU - Williams, Nefyn
AU - Yeo, Seow Tien
AU - Edwards, Rhiannon
PY - 2016/11/25
Y1 - 2016/11/25
N2 - AbstractBackgroundHip fracture, a common health issue in older age, is associated with serious consequences for the individual, such as mortality and frailty. Multidisciplinary rehabilitation has been proposed as a method to help older people recover after a hip fracture. Previous research exploring patients' preferences for hip fracture rehabilitation has been conducted in Australia. However, little research has been done in a UK context to inform rehabilitation services.MethodsAs part of a larger feasibility study conducted in North Wales, a discrete choice experiment (DCE) questionnaire was administered to patients who recently had a hip fracture and were randomised to receive either usual care or a newly developed multidisciplinary rehabilitation intervention. DCEs are a stated preference technique for eliciting individuals' preferences about goods and services. Individuals make trade-offs between choices, and these trade-offs provide information about individuals' relative preferences for different attributes of a service. Findings from a systematic review, patient focus groups, and a health-care professional survey conducted to develop the intervention were used to design the attributes and levels for the DCE questionnaire. Participants who consented to take part in the larger feasibility study were asked to complete the DCE questionnaire at their 3 month follow-up.Findings32 (65%) of 49 participants completed the DCE questionnaire at follow-up. 22 participants (69%) were women, and ten (31%) were men. The pilot DCE demonstrated that the method could be used with participants with a mean age of 79 years (SD 7·54). Logit regression (Stata, version 10.1) indicated participants' preferences for increased time with the health-care professional who delivers rehabilitation (β=–0·005, 95% CI 0·000 to −0·010), and a physiotherapy or occupational therapy assistant to deliver the rehabilitation sessions (β=–0·596, −0·862 to −0·445).InterpretationPrevious DCEs conducted in Australia focused on patient outcomes such as pain and dose of therapy. The design of the DCE described here used attributes associated with service configuration, which could have the potential to inform service implementation and assist service design, incorporating the preferences of patients. It could also provide lessons for future DCEs conducted with similar populations.FundingNational Institute for Health Research Health Technology Assessment (NIHR HTA) programme (ref 11/33-03).
AB - AbstractBackgroundHip fracture, a common health issue in older age, is associated with serious consequences for the individual, such as mortality and frailty. Multidisciplinary rehabilitation has been proposed as a method to help older people recover after a hip fracture. Previous research exploring patients' preferences for hip fracture rehabilitation has been conducted in Australia. However, little research has been done in a UK context to inform rehabilitation services.MethodsAs part of a larger feasibility study conducted in North Wales, a discrete choice experiment (DCE) questionnaire was administered to patients who recently had a hip fracture and were randomised to receive either usual care or a newly developed multidisciplinary rehabilitation intervention. DCEs are a stated preference technique for eliciting individuals' preferences about goods and services. Individuals make trade-offs between choices, and these trade-offs provide information about individuals' relative preferences for different attributes of a service. Findings from a systematic review, patient focus groups, and a health-care professional survey conducted to develop the intervention were used to design the attributes and levels for the DCE questionnaire. Participants who consented to take part in the larger feasibility study were asked to complete the DCE questionnaire at their 3 month follow-up.Findings32 (65%) of 49 participants completed the DCE questionnaire at follow-up. 22 participants (69%) were women, and ten (31%) were men. The pilot DCE demonstrated that the method could be used with participants with a mean age of 79 years (SD 7·54). Logit regression (Stata, version 10.1) indicated participants' preferences for increased time with the health-care professional who delivers rehabilitation (β=–0·005, 95% CI 0·000 to −0·010), and a physiotherapy or occupational therapy assistant to deliver the rehabilitation sessions (β=–0·596, −0·862 to −0·445).InterpretationPrevious DCEs conducted in Australia focused on patient outcomes such as pain and dose of therapy. The design of the DCE described here used attributes associated with service configuration, which could have the potential to inform service implementation and assist service design, incorporating the preferences of patients. It could also provide lessons for future DCEs conducted with similar populations.FundingNational Institute for Health Research Health Technology Assessment (NIHR HTA) programme (ref 11/33-03).
U2 - 10.1016/S0140-6736(16)32271-1
DO - 10.1016/S0140-6736(16)32271-1
M3 - Meeting Abstract
VL - 388
SP - S35
JO - The Lancet
JF - The Lancet
SN - 0140-6736
IS - Supplement 2
ER -