Patient Related Outcome Measures最新文献

{"title":"Translation and Cross-Cultural Adaptation into French of the Harris Hip Score and the Modified Harris Hip Score","authors":"Hugo Bothorel, Anthony Pernoud, P. Christofilopoulos","doi":"10.2147/prom.s439707","DOIUrl":"https://doi.org/10.2147/prom.s439707","url":null,"abstract":"","PeriodicalId":19747,"journal":{"name":"Patient Related Outcome Measures","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140084245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determinants of Mortality of Patients Admitted to the Intensive Care Unit at Debre Berhan Comprehensive Specialized Hospital: A Retrospective Cohort Study.","authors":"Ermiyas Endewunet Melaku, Besufekad Mulugeta Urgie, Firmayie Dessie, Ali Seid, Zenebe Abebe, Aklile Semu Tefera","doi":"10.2147/PROM.S450502","DOIUrl":"10.2147/PROM.S450502","url":null,"abstract":"<p><strong>Background: </strong>The provision of intensive care services is advancing globally. However, in resource-limited settings, it is lagging far behind and intensive care unit mortality is still higher due to various reasons. This study aimed to assess determinants of mortality among medical patients admitted to the intensive care unit.</p><p><strong>Methods: </strong>A five-year facility-based retrospective Cohort Study was conducted. A total of 546 medical patients admitted to the intensive care unit from March 2017 to February 2022 were included. Document review using a structured questionnaire was implemented to collect data. Data entered into Epi Data were analyzed by STATA and summarized using frequency tables and graphs. Binary and multivariate logistic regression analyses were performed to identify determinants of mortality.</p><p><strong>Results: </strong>The overall mortality was 35.9%. Approximately half of the deaths were attributed to septic shock, congestive heart failure, severe community-acquired pneumonia, and stroke. The most common immediate cause of death was cardio-respiratory arrest. Source of admission, GCS level at admission, duration of ICU stay, treatment with inotropes, septic shock, and retroviral infection status were found to have a statistically significant association with ICU mortality.</p><p><strong>Conclusion and recommendations: </strong>This study revealed a significantly higher mortality rate among patients admitted to the intensive care unit. Early identification and admission of patients to the intensive care unit are important factors that could decrease mortality. Patient selection is essential since some patients with a high likelihood of mortality might not benefit from intensive care unit admission in an area with high resource limitations.</p>","PeriodicalId":19747,"journal":{"name":"Patient Related Outcome Measures","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10895994/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139973013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Epilepsy Treatment Outcome and Its Predictors Among Children Who Had Chronic Follow Up at Dessie Comprehensive Specialized Hospital.","authors":"Tilahun Dessie Alene, Getacher Tessema Engidaye, Tesfaye Birhane, Sisay Gedamu","doi":"10.2147/PROM.S431242","DOIUrl":"10.2147/PROM.S431242","url":null,"abstract":"<p><strong>Introduction: </strong>Epilepsy is a chronic non-communicable disease of the brain that affects millions of people worldwide. A significant number of children are affected globally, and most live in developing countries, often with physical and cognitive disabilities. Regardless of these factors, epilepsy is poorly controlled, particularly in the developing countries. Thus, this study aimed to assess the magnitude of treatment outcomes and its predictors among pediatrics patients with epilepsy who were followed-up at the Dessie Comprehensive Specialized Hospital, Northeast Ethiopia.</p><p><strong>Methods: </strong>Hospital-based cross-sectional study was conducted from 1 June 2022 to 30 August 2022. A total of 200 patients with epilepsy were included in this study. Data were collected through face-to-face interviews, and by reviewing medical records. The collected data were entered into Epi-data version 4.6 and exported to SPSS version 25.0. Descriptive statistics such as frequencies, percentages, means and standard deviations were computed. Binary and multivariate logistic regression analyses were performed. Variables with p < 0.25 in bivariate analysis were entered into multivariable logistic regression. In multivariable analysis, adjusted odd ratio with 95% CI and p-value less than 0.05 were considered statistically significant.</p><p><strong>Results: </strong>Of 200 pediatric patients with epilepsy, 66 (34.5%) had poor treatment outcomes. In the multivariate analysis, 11-15 years of age (AOR = 4.08; 95% CI = 1.202, 13.848), poor treatment adherence (AOR = 3.21; 95% CI = 1.421, 7.249), history of more seizure frequency before starting treatment (AOR = 4.19; 95% CI = 1.984, 8.834) and history of head injury (AOR = 3.03; 95% CI = 1.502, 6.112) were significantly associated with poor treatment outcomes in pediatric patients with epilepsy.</p><p><strong>Conclusion: </strong>Significant proportion of pediatric patients with epilepsy had poor treatment outcomes. Therefore, health-care workers should strictly follow patient treatment especially for pediatric epileptic patients' who have poor treatment adherence, more seizure frequency history, head injury history and whose age were 11-15 years old.</p>","PeriodicalId":19747,"journal":{"name":"Patient Related Outcome Measures","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10895992/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139973014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and Content Validation of Novel Patient-Reported Outcome Measures to Assess Disease Severity and Change in Patients with Erythropoietic Protoporphyria: The EPP Impact Questionnaire (EPIQ)","authors":"Susan Mathias, Laurie Burke, Hilary Colwell, George Mensing, Will Savage, H. Naik","doi":"10.2147/prom.s438892","DOIUrl":"https://doi.org/10.2147/prom.s438892","url":null,"abstract":"","PeriodicalId":19747,"journal":{"name":"Patient Related Outcome Measures","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139816554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross-Sectional Quantitative Evaluation of a Novel Patient-Reported Outcome Measure in Familial Chylomicronemia Syndrome","authors":"T. Brown, Montserrat Vera-Llonch, Chisom Kanu, A. Sikora Kessler, Aaron Yarlas, Sheri Fehnel","doi":"10.2147/prom.s441583","DOIUrl":"https://doi.org/10.2147/prom.s441583","url":null,"abstract":"","PeriodicalId":19747,"journal":{"name":"Patient Related Outcome Measures","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139824877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Incidence and Predictors of Cardiac Arrest Among Patients Admitted to the Intensive Care Units of a Comprehensive Specialized Hospital in Central Ethiopia","authors":"Taye Ashine, A. Heliso, G. Babore, Elias Ezo, Sentayehu Saliya, Bethelhem Muluneh, Michael Alaro, Tadesse Adeba, Sisay Sebro, Awoke Hailu, Elias Abdisa","doi":"10.2147/prom.s452338","DOIUrl":"https://doi.org/10.2147/prom.s452338","url":null,"abstract":"","PeriodicalId":19747,"journal":{"name":"Patient Related Outcome Measures","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139890881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Incidence and Predictors of Cardiac Arrest Among Patients Admitted to the Intensive Care Units of a Comprehensive Specialized Hospital in Central Ethiopia","authors":"Taye Ashine, A. Heliso, G. Babore, Elias Ezo, Sentayehu Saliya, Bethelhem Muluneh, Michael Alaro, Tadesse Adeba, Sisay Sebro, Awoke Hailu, Elias Abdisa","doi":"10.2147/prom.s452338","DOIUrl":"https://doi.org/10.2147/prom.s452338","url":null,"abstract":"","PeriodicalId":19747,"journal":{"name":"Patient Related Outcome Measures","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139831182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and Content Validation of Novel Patient-Reported Outcome Measures to Assess Disease Severity and Change in Patients with Erythropoietic Protoporphyria: The EPP Impact Questionnaire (EPIQ)","authors":"Susan Mathias, Laurie Burke, Hilary Colwell, George Mensing, Will Savage, H. Naik","doi":"10.2147/prom.s438892","DOIUrl":"https://doi.org/10.2147/prom.s438892","url":null,"abstract":"","PeriodicalId":19747,"journal":{"name":"Patient Related Outcome Measures","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139876121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross-Sectional Quantitative Evaluation of a Novel Patient-Reported Outcome Measure in Familial Chylomicronemia Syndrome","authors":"T. Brown, Montserrat Vera-Llonch, Chisom Kanu, A. Sikora Kessler, Aaron Yarlas, Sheri Fehnel","doi":"10.2147/prom.s441583","DOIUrl":"https://doi.org/10.2147/prom.s441583","url":null,"abstract":"","PeriodicalId":19747,"journal":{"name":"Patient Related Outcome Measures","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139884699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Usage and Health Outcomes of Home Hemodialysis vs Center Hemodialysis in Racial/Ethnic Minority Groups in the United States a Quantitative Research in 2016–2019 USRDS Using Aday-Anderson Framework and Multiple Regression Models","authors":"Ying Zhu","doi":"10.2147/prom.s416279","DOIUrl":"https://doi.org/10.2147/prom.s416279","url":null,"abstract":"Introduction Home hemodialysis (HHD) offers patients with end-stage kidney disease (ESKD) greater flexibility and advantages of health outcomes over center hemodialysis (CHD). This study aims to investigate the differences between home and center hemodialysis with a focus on racial/ethnic minorities. Methods The US Renal Disease System (USRDS) 2019 patient core data containing mortality and hospitalization which are cumulative since 2010 were merged with 2016–2019 Medicare clinical claims. To assess demographic and medical factors adjusted utilization and mortality of HHD vs CHD within every racial/ethnic cohort, logistic regression was used, and negative binomial regression was conducted to analyze the number of hospitalizations. Results Evaluating 548,453 (97.48%) CHD patients and 14,202 (2.52%) HHD patients with Whites 47%, Blacks 32%, Hispanics 15%, Asians 4%, and other minorities 2%, the outcomes from adjusted regressions showed that: 1) minorities were significantly less likely to use HHD than Whites (Blacks: OR, 0.568, 95% CI, 0.546–0.592; Hispanics: OR, 0.510, 95% CI, 0.477–0.544; Asians: OR, 0.689, 95% CI, 0.619–0.766; Others: OR, 0.453, 95% CI, 0.390–0.525; p < 0.001); 2) most minority patients were younger and had fewer comorbidities than Whites, and all minority groups displayed significantly lower mortality and hospitalization incidences than the White group with adjustment on multiple covariates; 3) in the overall and main racial/ethnic cohorts, HHD showed a significantly lower risk of death than CHD after confounding for major risk factors (overall cohort: OR, 0.686, 95% CI, 0.641–0.734; White: OR, 0.670, 95% CI, 0.612–0.734; Blacks: OR, 0.717, 95% CI, 0.644–0.799; Hispanics: OR, 0.715, 95% CI, 0.575–0.889; Others: OR, 0.473, 95% CI, 0.265–0.844). Conclusion There are substantial racial/ethnic variations in home hemodialysis use and health outcomes in the United States.","PeriodicalId":19747,"journal":{"name":"Patient Related Outcome Measures","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139453924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}