Assessment of Patient's Satisfaction and Associated Factors regarding Postoperative Pain Management at the University of Gondar Compressive Specialized Hospital, Northwest Ethiopia

Quality of Postoperative Pain Management in Orthopedic Patients and Its Impact on Sleep Quality and Patient Satisfaction: An Integrative Review

Pain is one of the most common manifestations in the postoperative stage and it has a detrimental effect on both sleep and patient satisfaction. Consequently, this integrative review seeks to identify the outcomes of pain management specifically concerning sleep quality and patient satisfaction among the patients receiving orthopedic surgeries. In a stepwise manner, peer-reviewed articles manually searched in four databases including Scopus, Science Direct, PubMed, and CINAML (Cumulated Index to Nursing and Allied Health Literature) published between 2019 and 2023 were selected. The current review finally encompassed 22 studies. The review elaborates and reaffirms the notion that pain after surgery is still a critical issue that impacts the quality of patients' sleep as well as their overall satisfaction. Chronic sleep disturbance is generally linked with pain while other factors such as light exposure and hospital environment were found to influence sleep quality. It is thus crucial to develop clear multifaceted pain management guidelines that include patient-tailored pharmacological and non-pharmacological interventions aimed at helping patients recover better, sleep better, and be satisfied with the procedures and results.

Acute postoperative pain prevalence and intensity in the first 72 hour in Dessie Comprehensive Specialized Hospital, Ethiopia: a prospective single center observational study

Background

Postoperative pain is poorly studied in developing countries. Severe pain after surgery remains a major problem, occurring in 50-70% of the patients. Differences exist across countries. Despite numerous published studies, the degree of pain following many types of surgery in everyday clinical practice is unknown. To improve postoperative pain-treatment and develop procedure-specific, optimized pain-treatment protocols, the prevalence and severity of postoperative pain must first be identified.

Objective

This study aimed to determine the prevalence and intensity of acute postoperative pain and the practice of postoperative pain management.

Methods

A total of 180 patients were enrolled in the study, with 160 calculated using a single population proportion formula and a 10% attrition rate added, with proportionate stratification according to the size of each ward to obtain the number of participants from each specialty ward. A multistage sampling with stratified proportionate at the initial stages and a simple random sampling technique at the final stage was used. The patients completed a numerical pain rating scale for pain immediately after surgery for the first 72 h after surgery. The prevalence of mild, moderate, or severe pain was calculated. The evaluation was performed at eight time points including immediately after surgery: T2, T4, T8, T12, T24, T48, and T72.

Result

The prevalence of severe pain in patients who underwent elective surgery in the study period measured by numeric rating scale was 21.6, 43.9, 45.6, 28.9, 39.4, 10.5, and 13.4% at 2nd, 4th, 8th, 12th, 24th, 48th and 72 h, respectively.

Conclusion

The prevalence of moderate-to-severe pain within 72 h postoperatively was slightly lower than that other studies conducted in Ethiopia reported. This was still high, indicating better pain management in the postoperative period. Involvement of the anesthetist in pain management is crucial for better patient management.

Analgesia quality index improves the quality of postoperative pain management: a retrospective observational study of 14,747 patients between 2014 and 2021

BACKGROUND

The application of artificial intelligence patient-controlled analgesia (AI-PCA) facilitates the remote monitoring of analgesia management, the implementation of mobile ward rounds, and the automatic recording of all types of key data in the clinical setting. However, it cannot quantify the quality of postoperative analgesia management. This study aimed to establish an index (analgesia quality index (AQI)) to re-monitor and re-evaluate the system, equipment, medical staff and degree of patient matching to quantify the quality of postoperative pain management through machine learning.

METHODS

Utilizing the wireless analgesic pump system database of the Cancer Hospital Affiliated with Nantong University, this retrospective observational study recruited consecutive patients who underwent postoperative analgesia using AI-PCA from June 1, 2014, to August 31, 2021. All patients were grouped according to whether or not the AQI was used to guide the management of postoperative analgesia: The control group did not receive the AQI guidance for postoperative analgesia and the experimental group received the AQI guidance for postoperative analgesia. The primary outcome was the incidence of moderate-to-severe pain (numeric rating scale (NRS) score ≥ 4) and the second outcome was the incidence of total adverse reactions. Furthermore, indicators of AQI were recorded.

RESULTS

A total of 14,747 patients were included in this current study. The incidence of moderate-to-severe pain was 26.3% in the control group and 21.7% in the experimental group. The estimated ratio difference was 4.6% between the two groups (95% confidence interval [CI], 3.2% to 6.0%; P < 0.001). There were significant differences between groups. Otherwise, the differences in the incidence of total adverse reactions between the two groups were nonsignificant.

CONCLUSIONS

Compared to the traditional management of postoperative analgesia, application of the AQI decreased the incidence of moderate-to-severe pain. Clinical application of the AQI contributes to improving the quality of postoperative analgesia management and may provide guidance for optimum pain management in the postoperative setting.

Pain assessment practice and associated factors among nurses working at adult care units in public hospitals in Wolaita Zone, Southern Ethiopia, 2021

BACKGROUND

Using standard pain assessment techniques is a cornerstone for effective pain management. Pain is not assessed in a standardized manner in numerous practice settings. The problem of applying pain assessment principles was found to be higher in low-income countries. Very limited evidence indicates the standard of pain assessment practice among nurses in Ethiopia. Therefore, the purpose of this study was to identify pain assessment practice and associated factors among nurses working at adult care units in public hospitals in the Wolaita Zone, Southern Ethiopia.

METHODS

A cross-sectional study was conducted among 290 nurses working at adult care units in public hospitals in Wolaita zone. Data were collected from February to March 2021. A structured self-administered questionnaire was used for data collection. Epi Data 4.6 was used to enter the data, and SPSS version 26 was used to analyze the data. A logistic regression model was used, and statistical significance was declared at P ≤ 0.05. An adjusted odds ratio with 95%CI was used to measure the degree of association.

RESULTS

A total of 267 nurses participated in the study, giving a response rate of 97.8%. Almost three-fourths (73.8%) of the study nurses reported that they assessed pain for their patients. Only 23.6% of the study nurses discussed pain assessment scores during a nurse-to-nurse report. Below, half (47.2%) of the study participants documented pain assessment scores. The proportion of nurses with good pain assessment practice was found to be 38.2%. The odds of having good pain assessment practice among nurses who received training on pain management was two times higher than its counterpart. The nurses who perceived organizational support were twice more likely to have good pain assessment practice than their counterparts.

CONCLUSION

Nurses' pain assessment practice was found to be low. Moreover, a substantial proportion of the study nurses did not discuss pain assessment scores during a nurse-to-nurse report with low documentation practice. Continuous professional development through in-service training and education is crucial to the improvement of nurses' pain assessment practice. Furthermore, ameliorating organizational support by means of a supportive working environment is suggested to the betterment of nurses' assessment practice.

Patient Satisfaction With a Nurse-Led Pain Management Program: A Quasi-Experimental Study in Ethiopia

Introduction

Patient satisfaction is one of the important indicators of quality care.

Objective

To examine patient ratings of pain management satisfaction before and after introducing a nurse-led management program.

Methods

A quasi-experimental design with three cross-sectional surveys between October 1, 2016 and June 15, 2017. A total of 845 patients admitted to the four inpatient departments (medicine, surgery, maternity, and gynecology) of Jimma University Medical Centre were invited to participate in the study. A questionnaire adapted from the American Pain Society Patient Outcome Questionnaire, Pain Treatment Satisfaction Scale, and related literature was used for the survey. Data were analyzed using the chi-square test (categorical variables), t-tests for continuous variables, and robust regression to determine the effect of nurse-led management program on patient satisfaction. For all tests, p-values <.05 were considered statistically significant.

Results

Of the 845 patients invited, 782 (92.5%) participated in the surveys—Survey 1: N = 256; Survey 2: N = 259; Survey 3: N = 267. The proportion of patients who perceived that staff responded within 30 min increased from 67.8% in Survey 1 to 71.1% in Survey 2 and 74.2% in Survey 3. On a scale of 1 to 5 (1 = strongly dissatisfied and 5 = strongly satisfied), the overall mean patient satisfaction with pain management was 3.61 (SD 0.80) in Survey 1, 3.81 (SD 0.86) in Survey 2, and 4.10 (SD 0.64) in Survey 3. Moreover, the patients scored significantly higher on all satisfaction items in Survey 2 (B ranged between 0.12 and 0.41) and Survey 3 (B ranged between 0.24 and 0.74) compared to Survey 1.

Conclusion

The patients’ ratings of their satisfaction and staff nurse responsiveness following the nurse-led pain management program have increased compared to the levels before the intervention. However, further studies, including those with a control group, are warranted to confirm the results.

Patient Satisfaction Survey on Perioperative Anesthesia Service in University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2021

Background

Patient satisfaction is a crucial component in determining the quality of healthcare in anesthesia services. This study aimed to assess patient satisfaction and associated factors on perioperative anesthesia services.

Methods

Institutional-based cross-sectional study was conducted from May 16 to June 22, 2021, at the University of Gondar Comprehensive Specialized Hospital. Data were entered into Epi-data version 3.1 and exported to STATA version 14.1. The strength of the association was presented using an adjusted odds ratio with a 95% confidence interval, and a p value <0.05 was considered as statistically significant.

Results

A total of 398 patients were included in this study with a response rate of 98%. The overall proportion of patients who were satisfied with perioperative anesthesia service was 74% (95% CI: 69–78). Patients who received regional anesthesia were 2.8 times satisfied than those who received general anesthesia (AOR = 2.8, 95% CI: 1.42–5.36). Patients who obtained adequate information was 3.14 times (AOR = 3.14, 95% CI: 1.71–5.74) satisfied than that of the counterpart. Adults who did not feel pain during induction of anesthesia were 2.7 times (AOR = 2.7, 95% CI: 1.43–5.08) satisfied than an adult who felt pain during induction of anesthesia. Conclusion and Recommendations. The overall patients' satisfaction on perioperative anesthesia service was 74%. Patients who underwent operation with regional anesthesia, obtained adequate information about anesthesia, visited by anesthetists after operations, did not have nausea/vomiting, did not feel pain during induction, and patients who did not feel pain immediately after operation were satisfied than the counterparts. We recommended that the anesthetists must give attention to reduce the factors that decrease the satisfaction level of the surgical patients.