1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Factors influencing the length of hospital stay during the intensive phase of multidrug-resistant tuberculosis treatment at Amhara regional state hospitals, Ethiopia: a retrospective follow up study

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The length of hospital stay is the duration of hospitalization, which reflects disease severity and resource utilization indirectly. Generally, tuberculosis is considered an ambulatory disease that could be treated at DOTs clinics; however, admission remains an essential component for patients’ clinical stabilization. Hence, this study aimed to identify factors influencing hospital stay length during the intensive phase of multidrug-resistant tuberculosis treatment.

          Methods

          A retrospective follow-up study was conducted at three hospitals, namely the University of Gondar comprehensive specialized, Borumeda, and Debremarkos referral hospitals from September 2010 to December 2016 ( n = 432). Data extracted from hospital admission/discharge logbooks and individual patient medical charts. A binary logistic regression analysis was used to identify factors associated with more extended hospital stays during the intensive phase of multidrug-resistant tuberculosis treatment.

          Result

          Most patients (93.5%) had a pulmonary form of multidrug-resistant tuberculosis and 26.2% had /TB/HIV co-infections. The median length of hospital stays was 62 (interquartile range from 36 to 100) days. The pulmonary form of tuberculosis (Adjusted odds ratio [AOR], 3.47, 95% confidence interval [CI]; 1.31 to 9.16), bedridden functional status (AOR = 2.88, 95%CI; 1.29 to 6.43), and adverse drug effects (AOR = 2.11, 95%CI; 1.35 to 3.30) were factors associated with extended hospital stays.

          Conclusion

          This study revealed that the length of hospital-stay differed significantly between the hospitals. The pulmonary form of tuberculosis decreased functional status at admission and reported adverse drug reactions were determinants of more extended hospital stays. These underscore the importance of early case detection and prompt treatment of adverse drug effects.

          Related collections

          Most cited references23

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The WHO 2014 Global tuberculosis report—further to go

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Hospital Readmission in General Medicine Patients: A Prediction Model

            Background Previous studies of hospital readmission have focused on specific conditions or populations and generated complex prediction models. Objective To identify predictors of early hospital readmission in a diverse patient population and derive and validate a simple model for identifying patients at high readmission risk. Design Prospective observational cohort study. Patients Participants encompassed 10,946 patients discharged home from general medicine services at six academic medical centers and were randomly divided into derivation (n = 7,287) and validation (n = 3,659) cohorts. Measurements We identified readmissions from administrative data and 30-day post-discharge telephone follow-up. Patient-level factors were grouped into four categories: sociodemographic factors, social support, health condition, and healthcare utilization. We performed logistic regression analysis to identify significant predictors of unplanned readmission within 30 days of discharge and developed a scoring system for estimating readmission risk. Results Approximately 17.5% of patients were readmitted in each cohort. Among patients in the derivation cohort, seven factors emerged as significant predictors of early readmission: insurance status, marital status, having a regular physician, Charlson comorbidity index, SF12 physical component score, ≥1 admission(s) within the last year, and current length of stay >2 days. A cumulative risk score of ≥25 points identified 5% of patients with a readmission risk of approximately 30% in each cohort. Model discrimination was fair with a c-statistic of 0.65 and 0.61 for the derivation and validation cohorts, respectively. Conclusions Select patient characteristics easily available shortly after admission can be used to identify a subset of patients at elevated risk of early readmission. This information may guide the efficient use of interventions to prevent readmission.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              High incidence of hospital admissions with multidrug-resistant and extensively drug-resistant tuberculosis among South African health care workers.

              Nosocomial transmission has been described in extensively drug-resistant tuberculosis (XDR-TB) and HIV co-infected patients in South Africa. However, little is known about the rates of drug-resistant tuberculosis among health care workers in countries with high tuberculosis and HIV burden. To estimate rates of multidrug-resistant tuberculosis (MDR-TB) and XDR-TB hospitalizations among health care workers in KwaZulu-Natal, South Africa. Retrospective study of patients with drug-resistant tuberculosis who were admitted from 2003 to 2008 for the initiation of drug-resistant tuberculosis therapy. A public tuberculosis referral hospital in KwaZulu-Natal, South Africa. 231 health care workers and 4151 non-health care workers admitted for initiation of MDR-TB or XDR-TB treatment. Hospital admission rates and hospital admission incidence rate ratios. Estimated incidence of MDR-TB hospitalization was 64.8 per 100,000 health care workers versus 11.9 per 100,000 non-health care workers (incidence rate ratio, 5.46 [95% CI, 4.75 to 6.28]). Estimated incidence of XDR-TB hospitalizations was 7.2 per 100,000 health care workers versus 1.1 per 100,000 non-health care workers (incidence rate ratio, 6.69 [CI, 4.38 to 10.20]). A higher percentage of health care workers than non-health care workers with MDR-TB or XDR-TB were women (78% vs. 47%; P < 0.001), and health care workers were less likely to report previous tuberculosis treatment (41% vs. 92%; P < 0.001). HIV infection did not differ between health care workers and non-health care workers (55% vs. 57%); however, among HIV-infected patients, a higher percentage of health care workers were receiving antiretroviral medications (63% vs. 47%; P < 0.001). The study had an observational retrospective design, is subject to referral bias, and had no information on type of health care work or duration of occupational exposure to tuberculosis. Health care workers in this HIV-endemic area were substantially more likely to be hospitalized with either MDR-TB or XDR-TB than were non-health care workers. The increased risk may be explained by occupational exposure, underlining the urgent need for tuberculosis infection-control programs.
                Bookmark

                Author and article information

                Contributors
                kokusisay23@gmail.com
                gashawab@gmail.com
                yaregalae@gmail.com
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                8 August 2020
                8 August 2020
                2020
                : 20
                : 1217
                Affiliations
                [1 ]GRID grid.59547.3a, ISNI 0000 0000 8539 4635, Department of Epidemiology and Biostatistics, , Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, ; POB: 196, Gondar, Ethiopia
                [2 ]GRID grid.59547.3a, ISNI 0000 0000 8539 4635, Department of Health Service Management and Health Economics, , Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, ; POB: 196, Gondar, Ethiopia
                Article
                9324
                10.1186/s12889-020-09324-x
                7414745
                32770982
                16034a4d-0519-4f1e-8e32-da3fa75eb29a
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 24 October 2019
                : 2 August 2020
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Public health
                multidrug-resistant tuberculosis,length of hospital stay,ethiopia
                Public health
                multidrug-resistant tuberculosis, length of hospital stay, ethiopia

                Comments

                Comment on this article