{"title":"亚的斯亚贝巴公立转诊医院的患者满意度及相关因素:2023 年的启示。","authors":"Dawit Abebe, Sinetibeb Mesfin, Luna Abebe Kenea, Yosef Alemayehu, Kostr Andarge, Temsegen Aleme","doi":"10.3389/fmed.2024.1456566","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Currently, patient satisfaction is a major concern in the healthcare system of Ethiopia. Patient satisfaction with nursing care is considered an important factor in explaining patients' service quality. Satisfied patients are more likely to have a good relationship with nurses, which suggests improved quality of care.</p><p><strong>Objective: </strong>To assess the prevalence of patient satisfaction and its associated factors among admitted patients in Addis Ababa city public referral hospitals, Ethiopia 2023.</p><p><strong>Methods and materials: </strong>An institutional-based cross-sectional study design was employed among 471 randomly selected patients from June 1 to July 30, 2023. Interviewer-administered a structured questionnaire was used to collect data. Patient satisfaction was measured by using the Newcastle Nursing Care Satisfaction Scale. Bivariable and multivariable logistic regressions were used to identify the factors associated with patient satisfaction.</p><p><strong>Result: </strong>471 participants responded among 506 selected patients yielding a response rate of 93%. The satisfaction of patients was 47.8% (95% CI = 42.9, 52.2%) Multiple logistic regression showed that participants aged 26-35 were less likely to be satisfied with nursing care [AOR = 0.25, 95% CI: 0.11, 0.56]. In contrast, those in the surgical ward [AOR = 3.85, 95% CI: 1.98, 7.45] and ophthalmology ward [AOR = 4.27, 95% CI: 1.81, 10.05] were more satisfied. No previous admission [AOR = 0.13, 95% CI: 0.07, 0.26], having no comorbidities [AOR = 13.4, 95% CI: 7.06, 25.4], and shorter admission duration [AOR = 9.14, 95% CI: 3.46, 24.11] were found to be factors with a significant association with patient nursing satisfaction.</p><p><strong>Conclusion: </strong>Overall, just under one in every two admitted patients were satisfied, indicating areas for potential improvement in nursing care. Specific factors such as patients in the age range of 26 to 35 reported significantly lower levels of satisfaction, whereas patients in the surgical and ophthalmology wards, as well as those without comorbidities and with shorter hospital stays, reported significantly higher levels of satisfaction. These findings emphasize the importance of targeted strategies to enhance nursing care.</p>","PeriodicalId":12488,"journal":{"name":"Frontiers in Medicine","volume":"11 ","pages":"1456566"},"PeriodicalIF":3.1000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11560774/pdf/","citationCount":"0","resultStr":"{\"title\":\"Patient satisfaction and associated factors in Addis Ababa's public referral hospitals: insights from 2023.\",\"authors\":\"Dawit Abebe, Sinetibeb Mesfin, Luna Abebe Kenea, Yosef Alemayehu, Kostr Andarge, Temsegen Aleme\",\"doi\":\"10.3389/fmed.2024.1456566\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Currently, patient satisfaction is a major concern in the healthcare system of Ethiopia. Patient satisfaction with nursing care is considered an important factor in explaining patients' service quality. Satisfied patients are more likely to have a good relationship with nurses, which suggests improved quality of care.</p><p><strong>Objective: </strong>To assess the prevalence of patient satisfaction and its associated factors among admitted patients in Addis Ababa city public referral hospitals, Ethiopia 2023.</p><p><strong>Methods and materials: </strong>An institutional-based cross-sectional study design was employed among 471 randomly selected patients from June 1 to July 30, 2023. Interviewer-administered a structured questionnaire was used to collect data. Patient satisfaction was measured by using the Newcastle Nursing Care Satisfaction Scale. Bivariable and multivariable logistic regressions were used to identify the factors associated with patient satisfaction.</p><p><strong>Result: </strong>471 participants responded among 506 selected patients yielding a response rate of 93%. The satisfaction of patients was 47.8% (95% CI = 42.9, 52.2%) Multiple logistic regression showed that participants aged 26-35 were less likely to be satisfied with nursing care [AOR = 0.25, 95% CI: 0.11, 0.56]. In contrast, those in the surgical ward [AOR = 3.85, 95% CI: 1.98, 7.45] and ophthalmology ward [AOR = 4.27, 95% CI: 1.81, 10.05] were more satisfied. No previous admission [AOR = 0.13, 95% CI: 0.07, 0.26], having no comorbidities [AOR = 13.4, 95% CI: 7.06, 25.4], and shorter admission duration [AOR = 9.14, 95% CI: 3.46, 24.11] were found to be factors with a significant association with patient nursing satisfaction.</p><p><strong>Conclusion: </strong>Overall, just under one in every two admitted patients were satisfied, indicating areas for potential improvement in nursing care. Specific factors such as patients in the age range of 26 to 35 reported significantly lower levels of satisfaction, whereas patients in the surgical and ophthalmology wards, as well as those without comorbidities and with shorter hospital stays, reported significantly higher levels of satisfaction. These findings emphasize the importance of targeted strategies to enhance nursing care.</p>\",\"PeriodicalId\":12488,\"journal\":{\"name\":\"Frontiers in Medicine\",\"volume\":\"11 \",\"pages\":\"1456566\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11560774/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3389/fmed.2024.1456566\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fmed.2024.1456566","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Patient satisfaction and associated factors in Addis Ababa's public referral hospitals: insights from 2023.
Background: Currently, patient satisfaction is a major concern in the healthcare system of Ethiopia. Patient satisfaction with nursing care is considered an important factor in explaining patients' service quality. Satisfied patients are more likely to have a good relationship with nurses, which suggests improved quality of care.
Objective: To assess the prevalence of patient satisfaction and its associated factors among admitted patients in Addis Ababa city public referral hospitals, Ethiopia 2023.
Methods and materials: An institutional-based cross-sectional study design was employed among 471 randomly selected patients from June 1 to July 30, 2023. Interviewer-administered a structured questionnaire was used to collect data. Patient satisfaction was measured by using the Newcastle Nursing Care Satisfaction Scale. Bivariable and multivariable logistic regressions were used to identify the factors associated with patient satisfaction.
Result: 471 participants responded among 506 selected patients yielding a response rate of 93%. The satisfaction of patients was 47.8% (95% CI = 42.9, 52.2%) Multiple logistic regression showed that participants aged 26-35 were less likely to be satisfied with nursing care [AOR = 0.25, 95% CI: 0.11, 0.56]. In contrast, those in the surgical ward [AOR = 3.85, 95% CI: 1.98, 7.45] and ophthalmology ward [AOR = 4.27, 95% CI: 1.81, 10.05] were more satisfied. No previous admission [AOR = 0.13, 95% CI: 0.07, 0.26], having no comorbidities [AOR = 13.4, 95% CI: 7.06, 25.4], and shorter admission duration [AOR = 9.14, 95% CI: 3.46, 24.11] were found to be factors with a significant association with patient nursing satisfaction.
Conclusion: Overall, just under one in every two admitted patients were satisfied, indicating areas for potential improvement in nursing care. Specific factors such as patients in the age range of 26 to 35 reported significantly lower levels of satisfaction, whereas patients in the surgical and ophthalmology wards, as well as those without comorbidities and with shorter hospital stays, reported significantly higher levels of satisfaction. These findings emphasize the importance of targeted strategies to enhance nursing care.
期刊介绍:
Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.
In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate
- the use of patient-reported outcomes under real world conditions
- the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines
- the scientific bases for guidelines and decisions from regulatory authorities
- access to medicinal products and medical devices worldwide
- addressing the grand health challenges around the world