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Introduction Discharge summaries (DS), which are sent from inpatient to outpatient settings, transmit critical clinical information. DS play a crucial role in the discharge process since they provide critical information about the patients that is simple to remember and help with patient follow-up in the community. This audit sought to determine if a quality improvement (QI) program may have an influence on the severity of mistakes at the moment of discharge and to assess the existing degree of inconsistencies on handwritten DS for orthopaedic patients. Methodology From the orthopaedics department at a tertiary care facility in south India, 100 handwritten DS and 100 electronic DS over six months were randomly chosen, and they were retrospectively audited against a predetermined set of criteria. The errors were compiled and compared by three reviewers. Results Some of the criteria, such as the doctor's signature, the speciality of admission, procedural therapy at the hospital, and the date of admission, were contained in all handwritten and electronic DS. Some of the metrics showed that electronic DS performed better than handwritten DS in areas such as hospital complications, which increased from 50% to 100%, contact information, which increased from 34% to 95%, and condition at discharge, which increased from 66% to 96%. Also, understandability increased from 58% to 100%, prognostic details increased from 70% to 96%, allergies increased from 66% to 100%, physical examination findings increased from 88% to 100%, admission diagnosis increased from 80% to 100%, patient/physician details increased from 92% to 100%, the information given to patient increased from 88% to 100%, problem list/issue pending increased from 35% to 92%, investigation increased from 80% to 100%, discharge medications increased from 88% to 100%, follow-up plan increased from 80% to 100%, discharge diagnosis increased from 94% to 100%, International Classification of Diseases, Tenth Revision (ICD-10) code increased from 93% to 100%, and days of admission increased from 92% to 100%. Conclusion Following the deployment of electronic DS, we were able to better care for patients and lessen their discomfort. We advise converting to electronic DS to enhance patient care and better record-keeping since this will become a significant problem if all notes are not accurately filled and are not readable.
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BACKGROUND CONTENT: The goal of postoperative pain management is to facilitate the patient's return to normal activity and decrease the detrimental effects of acute postsurgical pain. In order to provide more tailored and successful pain treatment, it is necessary to identify individuals who are at a high risk of experiencing severe postoperative pain. The most precise way to assess pain sensitivity is by determining the pressure pain threshold and heat pain threshold by objective methods using a digital algometer and neurotouch respectively. PURPOSE: The primary aim of the study is to assess the preoperative pain threshold and its influence on postoperative pain severity and analgesics requirements in patients undergoing lumbar fusion surgeries. STUDY DESIGN: Prospective, observational study. PATIENT SAMPLE: Sixty patients requiring a single-level lumbar fusion surgery. OUTCOME MEASURES: Postoperative pain intensity and the amount of postoperative analgesics consumption. METHODS: In our patients, preoperative pain sensitivity was assessed by pressure pain threshold measurements with the help of a digital algometer, and heat pain threshold using a neurotouch instrument. In addition, pain sensitivity questionnaires (PSQ) were used in all our patients to determine pain sensitivity. Preoperative psychosocial and functional assessments were performed by Hospital anxiety-depression scores (HADS), and Oswestry disability index (ODI) respectively. Preoperative visual analog scale (VAS) score was determined at three instances of needle prick (phlebotomy, glucometer blood sugar, and intradermal antibiotic test dose) and during the range of movements of the lumbar spine region. Postoperative VAS score and postoperative breakthrough analgesic requirements were recorded in all of these patients from day 0 to day 3. RESULTS: The average age of the patients was 51.11±13.467 years and 70% were females. Females had lower mean algometry values (72.14±7.56) compared to males (77.34±6.33). Patients with higher HADS (p<.0016), higher PSQ (p<.001), higher ODI scores(p<.001), and female gender significantly correlated with a lower algometer average indicating high pain sensitivity. Patients with lower preoperative VAS scores and with higher neurotouch scores showed lower postoperative VAS scores at different time periods. Preoperative VAS scores, algometer average scores, neurotouch scores, and HADS scores were considered as independent variables (predictors) for postoperative VAS at 6 hours period. By the multivariate analysis, factors like preoperative VAS scores, algometer average scores, and HADS scores were statistically significant (p<.05). There was a significant correlation between algometer average scores (p<.001) with the breakthrough analgesics. CONCLUSION: Preoperative assessment of pain sensitivity can predict postoperative analgesic requirements and aid in recovery. Patients with a lower pain threshold should be counseled preoperatively and also receive a better titration of analgesics perioperatively.