The concept of postoperative recovery lacks clarity, both in its meaning in relation to postoperative recovery to healthcare professionals in their care for surgical patients, and in the understanding of what researchers in this area really intend to investigate. The theoretical definition we have developed may be useful but needs to be further explored.
A RECENT nationwide survey in Sweden found that day surgery accounts for 43% of all inhospital procedures. 1 Orthopaedic, general, and gynaecological procedures were the most common. About 40% of the day surgery units followed up with telephone calls within 1-2 days, and found pain to be the most common complaint. Quality of recovery had not been systematically evaluated with instruments tested for validity and reliability, and follow-ups beyond 2 days post-operative were not found.Quality of Recovery-40 (QoR-40) 2,3 is a 40-item instrument to assess the quality of post-operative recovery. The instrument is divided into five dimensions; emotional state, physical comfort, psychological support, physical independence, and pain. These dimensions represent aspects of good-quality recovery after anaesthesia and surgery. QoR-40 has been used for patients undergoing different surgical procedures and tests for validity and reliability yielded initial support for the instrument. Myles et al. 3 concluded that QoR-40 would be a useful outcome measure to assess the impact of changes in health care delivery on quality of care, but anaesthesia and surgery studies have rarely used this approach. Although QoR-40 has not been used exclusively for day surgery patients, some day surgery patients were included when the instrument was developed. 2,3 Another study on day surgery patients 4 used eight items from QoR-40 relevant to that study. In a systematic review of post-operative recovery outcomes measurements after ambulatory surgery, the QoR-40 was the only instrument that fulfilled the criteria that were set up but was not specifically designed for day surgery and anaesthesia. 5 Another systematic review from 2008 also advises to use the QoR-40 in
Rationale, aim and objectives: Day surgery patients are discharged after a short period of postoperative surveillance, and reliable and valid instruments for assessment at home are needed. The aim of this study was to evaluate the psychometric properties of a Swedish version of the Post-discharge Surgical Recovery (PSR) scale, an instrument to monitor the patient"s recovery after day surgery, in terms of data quality, internal consistency, dimensionality and responsiveness Methods: Data were collected on postoperative days 1 and 14 and included 525 patients.Data quality and internal consistency were evaluated using descriptive statistics, correlation analyses and Cronbach"s α. The dimensionality of the scale was determined through an exploratory factor analysis. Responsiveness was evaluated using the standardized response mean (SRM) and the area under the receiver operating characteristics curve (AUC). The correlation between change score in PSR and change score in self-rated health was assessed using Pearson"s correlation coefficient. Patients" ability to work and their self-rated health on postoperative day 14 were used as external indicators of change.Results: Six items showed floor or ceiling effects. Cronbach"s coefficient α was 0.90 and the average inter-item correlation coefficient was 0.44 after the deletion of two items. The items were closely related to each other, and a one-factor solution was decided on. A robust ability to detect changes in recovery (SRM 1.14) was shown. The AUC for the entire scale was 0.60. When initial PSR scores were categorized into three intervals, the ability to detect improved and non-improved patients varied (AUC 0.58-0.81). There was a strong correlation between change scores in PSR and health (0.63).
Conclusions:The Swedish version of the PSR scale demonstrates acceptable psychometric properties of data quality, internal consistency, dimensionality and 4 responsiveness. In addition to previous findings, these results strengthen the PSR scale as a potential instrument of recovery at home.
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Although the effects of pseudocorrelation are minimized by using Oldham plots, they are not cancelled. This issue is discussed, and we conclude that this study does not support the notion that the nurses tend to underestimate severe pain more often than mild pain.
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