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Correction: Risk factors associated with prolonged hospital length-of-stay: 18-year retrospective study of hospitalizations in a tertiary healthcare center in Mexico.

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Abstract

[This corrects the article DOI: 10.1371/journal.pone.0207203.].

Entities:  

Year:  2018        PMID: 30576394      PMCID: PMC6303043          DOI: 10.1371/journal.pone.0209944

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


In Table 1, the variable that reads "2 patients per medical team (March 2008-December 2017)" is incorrect. The variable should read "12 patients per medical team (March 2008-December 2017)". The publisher apologizes for the error.
Table 1

Comparison of characteristics of hospitalizations by type of episode (normal vs prolonged length-of-stay) from 2000–2017.

CharacteristicNormal length-of-stay (NLOS)(N = 81,477, 95%)Prolonged length-of-stay (PLOS)(N = 4,427, 5%)p
Length-of-stay in daysa8 (5–13)45 (38–60)<0.001
Age at hospitalization52 (35–66)48 (32–62)<0.001
Female (%)45,431 (55.76)2,340 (52.9)<0.001
Residence (%)
    • Mexico City    • Outside Mexico City    • Unknown32,973 (40.5)30,227 (37.1)18,277 (22.4)1,481 (33.5)1,825 (41.2)1,121 (25.3)<0.001
Type of admission (%)
    • Urgent    • Elective8,939 (11.0)72,538 (89.0)1,277 (28.8)3,150 (71.2)<0.001
Surgical patients (%)33,143 (40.7)2,767 (62.5)<0.001
Shared Room (%)58,584 (71.9)3,458 (78.1)<0.001
Patient to physician ratio (%)
    • 20 patients per medical team (January 2000-February 2008)35,785 (43.9)1,869 (42.2)0.026
    • 12 patients per medical team (March 2008-December 2017)45,692 (56.1)2,558 (57.8)
Day of admission (%)
    • Weekday (Monday-Thursday)    • Weekend (Friday-Sunday)56,329 (69.1)25,148 (30.9)2,842 (64.1)1,591 (35.9)<0.001
Hospital readmissions (%)35,656 (43.8)1,799 (40.6)<0.001
Distribution by type of readmission (%)
• ≤ 30 days• >30 days9,937 (27.9)25,719 (72.1)605 (33.6)1,194 (66.4)<0.001
Time for readmission
    • ≤ 30 days    • >30 days13 (7–21)261 (93–793)11 (6–18)201 (81–713)<0.001
Surgeries per patientb1 (1)2 (1–3)<0.001
Additional diagnoses3 (2–5)5 (3–8)<0.001
Socioeconomic level3 (2–4)2 (2–3)<0.001
Socioeconomic statusc (%)
    • Low (1–2)    • Mid (3–4)    • High (5–7)32,056 (39.3)38,341 (47.1)11,080 (13.6)2,358 (53.3)1,622 (36.6)447 (10.1)<0.001
In-hospital Mortality (%)3,035 (3.7)588 (13.3)<0.001
Location of death (%)
    • Hospital ward    • Emergency Department    • Intensive care unit1,887 (62.2)574 (18.9)574 (18.9)272 (46.3)110 (18.7)206 (35.0)<0.001

a Continuous variables are summarized using medians and interquartile ranges (IQR)

b Only surgical patients were included in this analysis (N = 35,910)

c Socioeconomic status is a construct used by the MNIH that comprises the following elements: monthly household income, family`s main provider`s occupation, monthly household expenses, type of housing and family`s health status. Patients are classified in seven levels (1–7) and that determines the amount the patient should pay for healthcare.

a Continuous variables are summarized using medians and interquartile ranges (IQR) b Only surgical patients were included in this analysis (N = 35,910) c Socioeconomic status is a construct used by the MNIH that comprises the following elements: monthly household income, family`s main provider`s occupation, monthly household expenses, type of housing and family`s health status. Patients are classified in seven levels (1–7) and that determines the amount the patient should pay for healthcare.
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1.  Risk factors associated with prolonged hospital length-of-stay: 18-year retrospective study of hospitalizations in a tertiary healthcare center in Mexico.

Authors:  Braulio A Marfil-Garza; Pablo F Belaunzarán-Zamudio; Alfonso Gulias-Herrero; Antonio Camiro Zuñiga; Yanink Caro-Vega; David Kershenobich-Stalnikowitz; José Sifuentes-Osornio
Journal:  PLoS One       Date:  2018-11-08       Impact factor: 3.240

  1 in total

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