Prevalence of pressure ulcers in hospitalised patients: a cross-sectional study

2020 ◽  
Vol 29 (Sup3) ◽  
pp. S20-S28
Author(s):  
Stella Olivo ◽  
Cristina Canova ◽  
Angela Peghetti ◽  
Maurilio Rossi ◽  
Renzo Zanotti
Keyword(s):  
Risk Factors ◽  
Length Of Stay ◽  
Pressure Ulcer ◽  
Pressure Ulcers ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Hospitalised Patients ◽  
Number Of Patients ◽  
Present On Admission

Objective: The main aim of this study was to estimate the prevalence of pressure ulcers (PU) and related risk factors of PU development in hospitalised patients in Italy. Furthermore, the study investigated the association between risk factors for PU present on admission and the development during hospitalisation (hospital-acquired pressure ulcer, HAPU). Methods: A cross-sectional study, using two separate designs at two separate timepoints: 2010 and 2015. The methodology used to measure PU prevalence was that recommended by the European Pressure Ulcer Advisory Panel (EPUAP). Results: The total sample was 7681 hospitalised patients (3011 patients in 2010, 4670 in 2015). Prevalence of PU in hospital was 19.5% in 2010 and 17% in 2015. The number of patients with PU present on admission were 9.60% in 2010 and 9.42% in 2015. Patients with HAPU were 5.08% in 2010 and 5.87% in 2015. Older age and comorbidities, and a total Braden score of ≤16 were positively associated with PU present on admission and HAPU in hospitals (p<0.05). A longer length of stay appeared to correlate positively with a better clinical outcome for PU if there were already present on admission. Heterogeneous results emerged for length of stay of >30 days and being admitted to intensive care unit (ICU). Conclusion: Our results are comparable with other European and Italian studies. Most of the risk factors associated with PU development have been confirmed. However, further studies are needed to examine the effects of context on PU present on arrival and HAPU, especially regarding hospital length of stay.

scholarly journals Cross-sectional study of prevalence and risk factors, and a cost-effectiveness evaluation of screening and preventive treatment strategies for latent tuberculosis among migrants in Singapore

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e050629
Author(s):  
Vanessa W Lim ◽  
Hwee Lin Wee ◽  
Phoebe Lee ◽  
Yijun Lin ◽  
Yi Roe Tan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cost Effectiveness ◽  
Length Of Stay ◽  
Latent Tuberculosis ◽  
Cross Sectional Study ◽  
Secondary Outcome ◽  
Sectional Study ◽  
Cross Sectional ◽  
Ltbi Prevalence ◽  
The Cost

ObjectivesWHO recommends that low burden countries consider systematic screening and treatment of latent tuberculosis infection (LTBI) in migrants from high incidence countries. We aimed to determine LTBI prevalence and risk factors and evaluate cost-effectiveness of screening and treating LTBI in migrants to Singapore from a government payer perspective.DesignCross-sectional study and cost-effectiveness analysis.SettingMigrants in Singapore.Participants3618 migrants who were between 20 and 50 years old, have not worked in Singapore previously and stayed in Singapore for less than a year were recruited.Primary and secondary outcome measuresCosts, quality-adjusted life-years (QALYs), threshold length of stay, incremental cost-effectiveness ratios (ICERs), cost per active TB case averted.ResultsOf 3584 migrants surveyed, 20.4% had positive interferon-gamma release assay (IGRA) results, with the highest positivity in Filipinos (33.2%). Higher LTBI prevalence was significantly associated with age, marital status and past TB exposure. The cost-effectiveness model projected an ICER of S$57 116 per QALY and S$12 422 per active TB case averted for screening and treating LTBI with 3 months once weekly isoniazid and rifapentine combination regimen treatment compared with no screening over a 50-year time horizon. ICER was most sensitive to the cohort’s length of stay in Singapore, yearly disease progression rates from LTBI to active TB, followed by the cost of IGRA testing.ConclusionsFor LTBI screening and treatment of migrants to be cost-effective, migrants from high burden countries would have to stay in Singapore for ~50 years. Risk-stratified approaches based on projected length of stay and country of origin and/or age group can be considered.

scholarly journals Insurance status, inhospital mortality and length of stay in hospitalised patients in Shanxi, China: a cross-sectional study

BMJ Open ◽  
2017 ◽  
Vol 7 (7) ◽  
pp. e015884 ◽  
Author(s):  
Xiaojun Lin ◽  
Miao Cai ◽  
Hongbing Tao ◽  
Echu Liu ◽  
Zhaohui Cheng ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Cross Sectional Study ◽  
Insurance Status ◽  
Inhospital Mortality ◽  
Sectional Study ◽  
Cross Sectional ◽  
Hospitalised Patients

scholarly journals Potential Risk Factors for Length of Hospitalization in COVID-19 Patients: A Cross-sectional Study

Health Scope ◽  
2021 ◽  
Vol 10 (4) ◽  
Author(s):  
Elaheh Talebi-Ghane ◽  
Salman Khazaei ◽  
Leili Tapak ◽  
Ali Reza Soltanian ◽  
Saeed Bashirian ◽  
...  
Keyword(s):  
Risk Factors ◽  
Length Of Stay ◽  
Potential Risk ◽  
Negative Binomial ◽  
Cross Sectional Study ◽  
Medical Laboratory ◽  
Sectional Study ◽  
Cross Sectional ◽  
Hospital Beds ◽  
Potential Risk Factors

Background: Identifying the potential risk factors of the length of stay in hospital (LOSH) in COVID-19 patients could help the health system meet future demand for hospital beds. Objectives: This study aimed to determine the factors affecting the length of stay in hospital in COVID-19 patients in Hamadan, the west of Iran. Methods: This cross-sectional study recruited 512 hospitalized COVID-19 patients in Hamadan city. Demographic, clinical, and medical laboratory characteristics of the patients and their survival status were assessed by a checklist. Univariate and multiple negative binomial regressions were used by Stata 12. Results: The median hospitalization length for COVID-19 patients was five days (range: 0 to 47). In the discharged patients, the adjusted incidence rate ratios (95% CI) of LOSH for females, rural residents, patients with a history of diabetes and cardiovascular disease, SPO2 less than 88%, prothrombin time higher than 13 s, platelet count lower than 130 × 1000 µL, blood sugar higher than 105 mg/dL, and intensive care unit experience were 1.16 (1.03, 1.44), 1.22 (1.03, 1.44), 1.43 (1.07, 1.92), 1.41 (1.23, 1.61), 0.82 (0.71, 0.93), 1.32 (1.11, 1.56), 1.18 (1.03, 1.36), and 1.85 (1.59, 2.17) compared to their references, respectively. Conclusions: Our study added new insight into LOSH determining factors that could be used for future planning in combating the need for hospital beds. The present study revealed that some demographic, social, and clinical variables could increase the IRR of a more extended hospital stay.

PRRSV: Risikofaktoren und Herdenprävalenz in Deutschland

2019 ◽  
Vol 47 (02) ◽  
pp. 132-132
Author(s):  
Sebastian Ganz
Keyword(s):  
Risk Factors ◽  
Cross Sectional Study ◽  
Respiratory Syndrome Virus ◽  
Sectional Study ◽  
Cross Sectional ◽  
Klinische Symptome

Nathues C, Janssen E, Duengelhoef A et al. Cross-sectional study on risk factors for Porcine Reproductive and Respiratory Syndrome virus sow herd instability in German breeding herds. Acta Vet Scand 2018; 60 (1): 1–8 In mit PRRSV (Porcine Reproductive and Respiratory Syndrom Virus) infizierten Schweinebeständen zeigen die Tiere oftmals ernsthafte klinische Symptome. Die Schwere der Symptomatik hängt von der Virulenz der jeweiligen Virusstämme ab. Deshalb ist die Impfung gegen diesen Erreger sinnvoll und wird empfohlen, auch wenn sie nicht immer klinische Fälle verhindert bzw. das Virus vollends eliminiert. Aufgrund dessen rückt die Prävention durch Verbesserung der innerbetrieblichen Abläufe zunehmend in den Fokus. Um solche Maßnahmen erfolgreich etablieren zu können, ist es wichtig, den epidemiologischen Status der Herde und mögliche Risikofaktoren zu kennen. Ziel der Studie war deshalb, die Prävalenz der Infektion in Sauenbetrieben in Norddeutschland zu eruieren und verschiedene Arbeitsabläufe hinsichtlich des Risikos der Erregerverbreitung zu untersuchen.

Sign in / Sign up

Export Citation Format

Share Document