16
views
0
recommends
+1 Recommend
1 collections
    0
    shares

      Clinical Interventions in Aging (submit here)

      This international, peer-reviewed Open Access journal by Dove Medical Press focuses on prevention and treatment of diseases in people over 65 years of age. Sign up for email alerts here.

      36,334 Monthly downloads/views I 3.829 Impact Factor I 7.4 CiteScore I 1.83 Source Normalized Impact per Paper (SNIP) I 1.044 Scimago Journal & Country Rank (SJR)

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

      An Early Screening Tool for Discharge Planning Shortened Length of Hospital Stay for Elderly Patients with Community-Acquired Pneumonia

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      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

          Community-acquired pneumonia is one of the most common diseases in elderly persons and usually results in a prolonged hospital stay. Discharge planning plays an important role in reducing the length of hospitalization. This study was designed to determine whether early screening for risk factors for delayed discharge could improve the quality of discharge planning.

          Methods

          This retrospective, observational study was conducted in two medical facilities from January 2016 to December 2018. Hospital A used a screening tool on admission (screening group): screening for risk factors for delayed discharge and initiating discharge planning immediately for those for whom it was applicable, and discharge planning in the stable phase for those for whom it was not applicable; and Hospital B initiated discharge planning without screening (usual group). Propensity score-matched pneumonia patients in the two groups were then compared. The primary outcome was length of hospital stay.

          Results

          A total of 648 patients were enrolled in this study. After adjusting for age, sex, aspiration, comorbidity, pneumonia severity index, and key person, 118 pairs underwent analysis. Length of stay was significantly different (20 days vs 13 days, p<0.001) between the groups. There were no differences in duration of antibiotic treatment, in-hospital mortality, and 30-day readmission (9 days vs 9 days, p=0.744; 10 (8.5%) vs 10 (8.5%), p=1.000; 10 (8.5%) vs 9 (7.6%), p=0.811, respectively).

          Conclusion

          Early screening for delayed discharge improved the quality of discharge planning by reducing the length of stay in pneumonia patients.

          Most cited references21

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

          A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation

          The objective of this study was to develop a prospectively applicable method for classifying comorbid conditions which might alter the risk of mortality for use in longitudinal studies. A weighted index that takes into account the number and the seriousness of comorbid disease was developed in a cohort of 559 medical patients. The 1-yr mortality rates for the different scores were: "0", 12% (181); "1-2", 26% (225); "3-4", 52% (71); and "greater than or equal to 5", 85% (82). The index was tested for its ability to predict risk of death from comorbid disease in the second cohort of 685 patients during a 10-yr follow-up. The percent of patients who died of comorbid disease for the different scores were: "0", 8% (588); "1", 25% (54); "2", 48% (25); "greater than or equal to 3", 59% (18). With each increased level of the comorbidity index, there were stepwise increases in the cumulative mortality attributable to comorbid disease (log rank chi 2 = 165; p less than 0.0001). In this longer follow-up, age was also a predictor of mortality (p less than 0.001). The new index performed similarly to a previous system devised by Kaplan and Feinstein. The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death from comorbid disease for use in longitudinal studies. Further work in larger populations is still required to refine the approach because the number of patients with any given condition in this study was relatively small.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples

            The propensity score is a subject's probability of treatment, conditional on observed baseline covariates. Conditional on the true propensity score, treated and untreated subjects have similar distributions of observed baseline covariates. Propensity-score matching is a popular method of using the propensity score in the medical literature. Using this approach, matched sets of treated and untreated subjects with similar values of the propensity score are formed. Inferences about treatment effect made using propensity-score matching are valid only if, in the matched sample, treated and untreated subjects have similar distributions of measured baseline covariates. In this paper we discuss the following methods for assessing whether the propensity score model has been correctly specified: comparing means and prevalences of baseline characteristics using standardized differences; ratios comparing the variance of continuous covariates between treated and untreated subjects; comparison of higher order moments and interactions; five-number summaries; and graphical methods such as quantile–quantile plots, side-by-side boxplots, and non-parametric density plots for comparing the distribution of baseline covariates between treatment groups. We describe methods to determine the sampling distribution of the standardized difference when the true standardized difference is equal to zero, thereby allowing one to determine the range of standardized differences that are plausible with the propensity score model having been correctly specified. We highlight the limitations of some previously used methods for assessing the adequacy of the specification of the propensity-score model. In particular, methods based on comparing the distribution of the estimated propensity score between treated and untreated subjects are uninformative. Copyright © 2009 John Wiley & Sons, Ltd.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Management of Adults With Hospital-acquired and Ventilator-associated Pneumonia: 2016 Clinical Practice Guidelines by the Infectious Diseases Society of America and the American Thoracic Society.

              It is important to realize that guidelines cannot always account for individual variation among patients. They are not intended to supplant physician judgment with respect to particular patients or special clinical situations. IDSA considers adherence to these guidelines to be voluntary, with the ultimate determination regarding their application to be made by the physician in the light of each patient's individual circumstances.These guidelines are intended for use by healthcare professionals who care for patients at risk for hospital-acquired pneumonia (HAP) and ventilator-associated pneumonia (VAP), including specialists in infectious diseases, pulmonary diseases, critical care, and surgeons, anesthesiologists, hospitalists, and any clinicians and healthcare providers caring for hospitalized patients with nosocomial pneumonia. The panel's recommendations for the diagnosis and treatment of HAP and VAP are based upon evidence derived from topic-specific systematic literature reviews.
                Bookmark

                Author and article information

                Journal
                Clin Interv Aging
                Clin Interv Aging
                cia
                clinintag
                Clinical Interventions in Aging
                Dove
                1176-9092
                1178-1998
                10 March 2021
                2021
                : 16
                : 443-450
                Affiliations
                [1 ]Department of Pulmonology, Yokohama City University Graduate School of Medicine , Yokohama, Japan
                [2 ]Department of Biostatistics, Yokohama City University Graduate School of Medicine , Yokohama, Japan
                Author notes
                Correspondence: Hao Chen Department of Pulmonology, Yokohama City University Graduate School of Medicine , 3-9 Fukuura, Kanazawa, Yokohama, 236-0004, JapanTel +81 045-352-7962Fax +81 045-352-7963 Email chinsmd@gmail.com
                Article
                296390
                10.2147/CIA.S296390
                7956591
                46b51116-62a0-4d8d-b5e1-b42625aa852f
                © 2021 Chen et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 08 December 2020
                : 02 March 2021
                Page count
                Figures: 2, Tables: 5, References: 24, Pages: 8
                Funding
                Funded by: no funding;
                There is no funding to report.
                Categories
                Original Research

                Health & Social care
                discharge planning,community-acquired pneumonia,delayed discharge
                Health & Social care
                discharge planning, community-acquired pneumonia, delayed discharge

                Comments

                Comment on this article