- Title
- Patient-perceived barriers and enablers to adherence to physiotherapist prescribed self-management strategies
- Creator
- Peek, Kerry; Carey, Mariko; Mackenzie, Lisa; Sanson-Fisher, Robert
- Relation
- New Zealand Journal of Physiotherapy Vol. 46, Issue 3, p. 105-112
- Publisher Link
- http://dx.doi.org/10.15619/NZJP/46.3.03
- Publisher
- Physiotherapy New Zealand
- Resource Type
- journal article
- Date
- 2018
- Description
- The objectives of this study were to describe patient-reported adherence to physiotherapist-prescribed self-management strategies; and the perceived barriers and enablers to adherence to each strategy. Patients attending physiotherapy private practices (n=4) were observed during their consultation. Patients prescribed one or more self-management strategies received a follow-up telephone interview within 10-14 days of the observed consultation and were asked to self-report their level of adherence and their perceived barriers and/or enablers to each prescribed strategy. Results indicated that patients (n=108) reported receiving 177 strategies and being fully adherent to 36% (95% CI: 29-44%) of these strategies. Patient-reported adherence barriers (n=113) and enablers (n=172) were coded using a modified version of the World Health Organisation five dimensions of adherence. Frequently reported barriers included social/economic-related (n=52; 46%) such as being too busy, and patient-related (n=29; 26%) including being too tired/lack of motivation. Frequently reported enablers included therapy-related (n=71; 41%) such as "the strategy was easy to complete", and condition-related (n=45; 26%) including "that the strategy helped to manage symptoms". Thus, patient adherence may be aided by ensuring that: the strategy is less complex; it does not cause pain; it isn't time consuming; and it leads to an improvement in condition-related symptoms.
- Subject
- physiotherapy; compliance; self-care; exercise; advice
- Identifier
- http://hdl.handle.net/1959.13/1403299
- Identifier
- uon:35151
- Identifier
- ISSN:0303-7193
- Language
- eng
- Full Text
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