| Title |
Influence of structured telephone follow-up on patient compliance with rehabilitation after total knee arthroplasty
|
|---|---|
| Published in |
Patient preference and adherence, March 2016
|
| DOI | 10.2147/ppa.s102156 |
| Pubmed ID | |
| Authors |
Mochuan Chen, Pihong Li, Feiou Lin |
| Abstract |
To assess the effects of structured telephone follow-up on patient's home-exercise compliance after total knee arthroplasty (TKA). A total of 202 elderly patients who received a unilateral TKA were enrolled in this study. The participants were randomized into two groups: the intervention group that received structured telephone follow-up after discharge and the control group that received routine health care. Pain, functional ability, quality of life, and depression survey scores were measured before and after TKA. The intergroup and intragroup differences were analyzed during the 12 months following discharge. There were no significant differences in the sociodemographic characteristics of both groups. The mean home-exercise time and total days in the intervention group were significantly higher than those in the control group. Variable scores differed significantly between groups. Pain, functional ability, quality of life, and depression improved significantly after TKA in both groups, and the intervention group had greater improvement in mental health and active range of motion. Undergoing a TKA can significantly reduce the patient's pain from osteoarthritis while improving the overall physical function and quality of life. Furthermore, a structured telephone follow-up can improve patient adherence to home exercise after TKA. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 154 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 17% |
| Student > Bachelor | 17 | 11% |
| Student > Ph. D. Student | 13 | 8% |
| Other | 10 | 6% |
| Researcher | 10 | 6% |
| Other | 31 | 20% |
| Unknown | 47 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 19% |
| Nursing and Health Professions | 25 | 16% |
| Psychology | 8 | 5% |
| Sports and Recreations | 7 | 5% |
| Social Sciences | 6 | 4% |
| Other | 19 | 12% |
| Unknown | 60 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 March 2016.
All research outputs
#17,790,561
of 22,852,911 outputs
Outputs from Patient preference and adherence
#1,165
of 1,600 outputs
Outputs of similar age
#202,999
of 298,399 outputs
Outputs of similar age from Patient preference and adherence
#45
of 63 outputs
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