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Improvement of patient satisfaction with the neurosurgery service at a large tertiary care, London-based hospital.

ABSTRACT: Patient satisfaction is central to healthcare provision and the effective running of any surgical unit. Following on from both formal and informal feedback, we decided to look objectively at patient satisfaction with the neurosurgery service at a large tertiary care hospital in London and identify areas that needed improvement within the unit. Patient satisfaction was looked at with respect to four different aspects of the neurosurgery service: the surgeons, ward doctors, nurses, and hospital services. A questionnaire-based cross-sectional study was conducted and once the data were collected a plan of action to improve service provision was put into place. Data were collected from 150 patients over a 3 month period from September to November 2012. Interventions were made and data re-collected from 150 patients from January to March 2013. With regards to satisfaction with the neurosurgery service, 76.7% (n=115) were satisfied; following implementation of our measures for improvement, which included staff education, meetings and posters, this figure increased to 90.6% (n=136, p<0.001 on Chi-square testing). In conclusion, patient satisfaction should be at the crux of patient care, with a strong focus on effective communication skills, and can be improved by identification of issues by direct patient feedback and subsequent action based on this.

SUBMITTER: Khan A

PROVIDER: S-EPMC4645699 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Improvement of patient satisfaction with the neurosurgery service at a large tertiary care, London-based hospital.

Khan Amad A Naushad Chaudhry Mohammad M Khalid Salema S Nandi Dipankar D

BMJ quality improvement reports 20140603 1

Patient satisfaction is central to healthcare provision and the effective running of any surgical unit. Following on from both formal and informal feedback, we decided to look objectively at patient satisfaction with the neurosurgery service at a large tertiary care hospital in London and identify areas that needed improvement within the unit. Patient satisfaction was looked at with respect to four different aspects of the neurosurgery service: the surgeons, ward doctors, nurses, and hospital se ...[more]

PMID: 26733061

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Project description:IntroductionAn increasing shortage of donor blood is expected, considering the demographic change in Germany. Due to the short shelf life and varying daily fluctuations in consumption, the storage of platelet concentrates (PCs) becomes challenging. This emphasizes the need for reliable prediction of needed PCs for the blood bank inventories. Therefore, the objective of this study was to evaluate multimodal data from multiple source systems within a hospital to predict the number of platelet transfusions in 3 days on a per-patient level.MethodsData were collected from 25,190 (42% female and 58% male) patients between 2017 and 2021. For each patient, the number of received PCs, platelet count blood tests, drugs causing thrombocytopenia, acute platelet diseases, procedures, age, gender, and the period of a patient's hospital stay were collected. Two models were trained on samples using a sliding window of 7 days as input and a day 3 target. The model predicts whether a patient will be transfused 3 days in the future. The model was trained with an excessive hyperparameter search using patient-level repeated 5-fold cross-validation to optimize the average macro F2-score.ResultsThe trained models were tested on 5,022 unique patients. The best-performing model has a specificity of 0.99, a sensitivity of 0.37, an area under the precision-recall curve score of 0.45, an MCC score of 0.43, and an F1-score of 0.43. However, the model does not generalize well for cases when the need for a platelet transfusion is recognized.ConclusionA patient AI-based platelet forecast could improve logistics management and reduce blood product waste. In this study, we build the first model to predict patient individual platelet demand. To the best of our knowledge, we are the first to introduce this approach. Our model predicts the need for platelet units for 3 days in the future. While sensitivity underperforms, specificity performs reliably. The model may be of clinical use as a pretest for potential patients needing a platelet transfusion within the next 3 days. As sensitivity needs to be improved, further studies should introduce deep learning and wider patient characterization to the methodological multimodal, multisource data approach. Furthermore, a hospital-wide consumption of PCs could be derived from individual predictions.

Project description:BackgroundWe used a validated inpatient satisfaction questionnaire to evaluate the health care received by patients admitted to several hospitals. This questionnaire was factored into distinct domains, creating a score for each to assist in the analysis. We evaluated possible predictors of patient satisfaction in relation to socio-demographic variables, history of admission, and survey logistics.MethodsCross-sectional study of patients discharged from four acute care general hospitals. Random sample of 650 discharged patients from the medical and surgical wards of each hospital during February and March 2002. A total of 1,910 patients responded to the questionnaire (73.5%). Patient satisfaction was measured by a validated questionnaire with six domains: information, human care, comfort, visiting, intimacy, and cleanliness. Each domain was scored from 0 to 100, with higher scores indicating higher levels of patient satisfaction.ResultsIn the univariate analysis, age was related to all domains except visiting; gender to comfort, visiting, and intimacy; level of education to comfort and cleanliness; marital status to information, human care, intimacy, and cleanliness; length of hospital stay to visiting and cleanliness, and previous admissions to human care, comfort, and cleanliness. The timing of the response to the mailing and who completed the questionnaire were related to all variables except visiting and cleanliness. Multivariate analysis confirmed in most cases the previous findings and added additional correlations for level of education (visiting and intimacy) and marital status (comfort and visiting).ConclusionThese results confirm the varying importance of some socio-demographic variables and length of stay, previous admission, the timing of response to the questionnaire, and who completed the questionnaire on some aspects of patient satisfaction after hospitalization. All these variables should be considered when evaluating patient satisfaction.

Project description:ObjectiveAlthough numerous studies have assessed patient satisfaction in diverse settings, in the realm of nursing surgical care, standardization of measurement for patient experience and satisfaction is lacking. Therefore, the aim of this study was to assess the satisfaction of surgical patients with perioperative nursing care.MethodA descriptive cross-sectional survey was conducted. Sociodemographic characteristics and clinical data were recorded. Patient satisfaction was measured with a modified version of the La Monica-Oberst Patient Satisfaction Scale (LOPSS-12).Results150 patients (73 women, 49% and 77 men; 51%) completed the survey. The mean age was 63 years (standard deviation, 16 years). The mean overall satisfaction score on the La Monica-Oberst Patient Satisfaction Scale was 3.17 (standard deviation, 0.21). The scale showed adequate content validity (Lawshe's Content Validity Index was 0.76) and moderate reliability (Cronbach's alpha = 0.70). Two variables-patient sex and the presence of comorbidities-were significantly associated with overall satisfaction: men and patients with comorbidities were more satisfied with the care received. Patients with university studies were significantly more likely than patients with less education to consider nurses "impatient," but also considered the nurses' advice to be "useful." Patients with hospital-acquired complications were more likely to perceive nurses to be "more interested in completing tasks than in listening," although they also felt that nurses worked "conscientiously."ConclusionOverall, patient satisfaction with perioperative nursing care was good. This study identified several areas of nursing care in need of improvement, particularly the need to spend more time with patients and to keep them better informed about the perioperative process. The modified La Monica-Oberst Patient Satisfaction Scale is suitable for measuring surgical patient satisfaction with perioperative nursing care. The findings presented here may be of value to nursing administrators, educators, and nursing care providers to improve patient satisfaction and to develop strategies to prevent patient dissatisfaction.

Project description:BackgroundIn China, a long waiting time for registration is a common occurrence in many tertiary hospitals. This study aimed to analyze the effects of a comprehensive reservation service for non-emergency registration on appointment registration rate, patient waiting time, patient satisfaction and outpatient volume at the Guangzhou Women and Children's Medical Center.MethodsThis was a cross-sectional study. This study investigated the effects of a comprehensive reservation service for non-emergency registration in Guangzhou Women and Children's Medical Center in China starting in October 2015. In total, 2194 patients completed a satisfaction survey administered by the Guangdong Situation Research Center. The content of the questionnaire consisted of six aspects: general impression, service attitude, service quality, hospital environment, price perception and medical ethics. A Likert 5-point rating scale was used in the questionnaire; answers were classified as "very satisfied", "relatively satisfied", "neutral", "unsatisfied" and "very unsatisfied". The method of application was paper-based. T-tests were used to compare the sample means, and chi-square tests were used to compare the rates. A multiple-test procedure was performed to evaluate the differences in the reservation rates during a 12-month period.ResultsAfter the implementation of the comprehensive reservation service for non-emergency registration in our hospital, which has an annual outpatient volume of approximately 4 million, the monthly appointment registration rate increased from (34.95 ± 2.91)% to(89.13 ± 3.12)%,P < 0.01. The patient waiting time was significantly reduced (P < 0.01), and the proportion of patients who believed that the waiting time required improvement was decreased significantly (P < 0.01). Moreover, the third-party evaluation result of outpatient satisfaction significantly improved (P < 0.01). The total hospital outpatient volume decreased(P < 0.01). The outpatient volume of the Department of General Pediatrics decreased.ConclusionThe implementation of the comprehensive reservation service for non-emergency registration in the hospital shortened patient waiting time and improved patient satisfaction, and the outpatient volume was effectively controlled. These results indicated that this program obtained the desired results in a Grade 3A hospital in China.

Project description:Objectives:We sought to evaluate the performance provided at a 'See and Treat' (ST) clinic at a tertiary hospital emergency department (ED) in Abu Dhabi, UAE, and to assess its impact on ED crowding. Methods:We conducted a retrospective electronic medical chart review and database analyses. We included patients triaged as triage level 4 (T4) and triage level 5 (T5) as per the Emergency Severity Index treated at ED in the ST clinic and other ED areas, including the off-site Urgent Care Centre (UCC) between 1 June 2016 and 30 June 2017. We analyzed a group of process and outcome measures at our ST clinic and compared them to the same measures in other areas of our ED and the co-located UCC. The process measure analyzed was the door-to-doctor time. In addition, the outcome measures analyzed were the door-to-door time, unplanned return within 72 hours, and feedback from T4 and T5 triaged patients treated at the clinic. Results:The number of patients enrolled in the study was 43?109. Of these, 11?329 (26.3%) patients were treated at the ST clinic, 6328 (14.7%) were treated at the UCC, and 25?452 (59.0%) were treated at the main ED. The door-to-doctor time was within 30 minutes for 89.0% of ST clinic patients, and 94.0% of patients experienced a door-to-door time of within two hours; 2.1% of these patients returned within 72 hours. Among these, 78.7% returned for an issue related to their first visit. However, none of the patients were admitted on their return visit. For patients presenting to UCC and other parts of our ED, we recorded a door-to-doctor time of within 30 minutes for 80.5% of patients and a door-to-door time of within two hours for 73.0% of patients. We found the difference in waiting times (i.e., door-to-doctor times between ST clinic patients and the rest of ED) to be statistically significant (p < 0.001, 95% confidence interval (CI): 0.56-0.63). However, on comparing door-to-door times, we found the difference between ST clinic patients and the rest of ED patients was not statistically significant. Conclusions:Door-to-doctor times were shorter in ST clinics compared to other parts of our ED, but there was no statistically significant difference in door-to-door times when comparing ST clinics to the rest of the ED. ST clinic patients had a lower rate of unplanned return within 72 hours, of which, none required admission on the return attendance. We believe ST clinics have a positive impact on reducing ED crowding but acknowledge they are one of the many plausible solutions attributing to optimized patient flow in the ED.

Project description:ObjectiveTo identify implementation determinants of blended periconception lifestyle care, and to evaluate patient satisfaction.DesignCross-sectional study.SettingThe outpatient clinic of the department of Obstetrics and Gynaecology of the Erasmus MC.ParticipantsImplementation part: counsellors providing blended periconception lifestyle care. Patient satisfaction part: women who received blended periconception lifestyle care.MethodsBlended periconception lifestyle care, including face-to-face counselling and 26 weeks of lifestyle coaching via the online platform 'Smarter Pregnancy', was implemented between June-December 2018. The Measurement Instrument for Determinants of Innovations questionnaire was used as input for the consolidated framework for implementation research to assess determinants of implementation. To evaluate patient satisfaction, patients receiving lifestyle care filled out an evaluation questionnaire, including questions on the needs for lifestyle counselling, information provision during counselling, and motivation and lifestyle change after counselling.Primary and secondary outcome measuresIdentification of implementation determinants and the level of patient satisfaction.ResultsFacilitators were reported in the implementation domains 'characteristics of the intervention' and 'characteristics of the individuals'. Barriers were in the implementation domains 'inner setting' and 'implementation process'. Regarding patient satisfaction on nutrition counselling, 31% of the respondents wanted information prior to the counselling session, 22% received new information after consultation, 51% got motivated to change and 40% changed their nutritional behaviour.ConclusionsA considerable number of patients improved lifestyle after counselling, although, a relatively small number wanted lifestyle counselling prior to consultation.This study underlines the importance of implementation science and the information it provides for improving the implementation process.

Dataset Information

Improvement of patient satisfaction with the neurosurgery service at a large tertiary care, London-based hospital.

Publications

Improvement of patient satisfaction with the neurosurgery service at a large tertiary care, London-based hospital.

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