| Title |
Defining the rehabilitation adherence curve and adherence phases of stroke patients: an observational study
|
|---|---|
| Published in |
Patient preference and adherence, August 2017
|
| DOI | 10.2147/ppa.s139854 |
| Pubmed ID | |
| Authors |
Meiqi Yao, Jinhua Chen, Jiyong Jing, Han Sheng, Xing Tan, Jingfen Jin |
| Abstract |
Patient adherence is a crucial determinant of rehabilitation in the long term after stroke. However, adherence is inconstant and fluctuates along a time course, and the underlying regular pattern of adherence variation remains to be clarified. We aimed to describe the longitudinal pattern of adherence to rehabilitation exercises in stroke patients and to determine different adherence phases based on formulated rehabilitation adherence curve. Rehabilitation adherence levels were prospectively collected using the Questionnaire of Exercise Adherence (EAQ) among patients diagnosed with first-onset stroke since the second week of stroke onset, with a follow-up of 24 weeks. SPSS19.0 was used to formulate a fitting curve based on a scatter diagram. Possible causal factors for the different adherence phases are also discussed from the psychological, socioeconomic, and behavioral aspects. A total of 98 patients were included in this study. General adherence of the included subjects was classified as low to medium during follow-up. The adherence fitting curve was an "S" curve, with the fitting function y =0.005x(3)-0.211x(2)+1.963x+52.345. Three phases, namely, rapid increase phase, slow decrease phase, and stable phase, were identified based on the adherence curve, and relevant theories are explored. Rehabilitation adherence of stroke patients is a dynamic behavioral process that continuously changes along a time course, with a regular pattern of an "S" curve and includes a rapid increase phase, a slow decrease phase, and a stable phase. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 23% |
| Student > Master | 5 | 9% |
| Lecturer > Senior Lecturer | 3 | 5% |
| Researcher | 3 | 5% |
| Student > Ph. D. Student | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 19 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 13 | 23% |
| Medicine and Dentistry | 8 | 14% |
| Engineering | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 4% |
| Neuroscience | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 24 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 September 2017.
All research outputs
#15,745,807
of 25,382,440 outputs
Outputs from Patient preference and adherence
#865
of 1,757 outputs
Outputs of similar age
#179,595
of 327,503 outputs
Outputs of similar age from Patient preference and adherence
#28
of 47 outputs
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