Resident and Facility Factors Associated With the Incidence of Urinary Tract Infections Identified in the Nursing Home Minimum Data Set

2016 ◽  
Vol 36 (2) ◽  
pp. 173-194 ◽  
Author(s):  
Nicholas Castle ◽  
John B. Engberg ◽  
Laura M. Wagner ◽  
Steven Handler
Keyword(s):  
Nursing Home ◽  
Urinary Tract ◽  
The United States ◽  
Minimum Data Set ◽  
Data Set ◽  
Home Setting ◽  
Factors Associated ◽  
Staffing Levels ◽  
Minimum Data ◽  
Tract Infections

Objective: This research examined resident and facility-specific factors associated with a diagnosis of a urinary tract infection (UTI) in the nursing home setting. Method: Minimum Data Set and Online Survey, Certification and Reporting system data were used to identify all nursing home residents in the United States on April 1, 2006, who did not have a UTI ( n = 1,138,418). Residents were followed until they contracted a UTI (9.5%), died (8.3%), left the nursing home (33.2%), or the year ended (49.0%). A Cox proportional hazards model was estimated, controlling for resident and facility characteristics and for the state of residence. Result: The presence of an indwelling catheter was the primary predictor of whether a resident contracted a UTI (adjusted incidence ratio = 3.35, p < .001), but only 6.1% of the residents in the sample had such a catheter. Therefore, only one eighth of the UTIs were contracted by residents with a catheter. Thus, subsequent analysis examined the populations with and without catheters separately. Demographic characteristics (such as age) have a much greater association with incidence among residents without catheters. The association with facility factors such as percentage of Medicaid residents, for-profit, and chain status was less significant. Estimates regarding staffing levels indicate that increased contact hours with more highly educated nursing staff are associated with less catheter use. Discussion: Several facility-specific risk factors are of significance. Of significance, UTIs may be reduced by modifying factors such as staffing levels.

State Medical Boards' Perceptions of a Minimum Data Set and Current Practices for Collecting Physician Information

2013 ◽  
Vol 99 (4) ◽  
pp. 40-45 ◽  
Author(s):  
Aaron Young ◽  
Philip Davignon ◽  
Margaret B. Hansen ◽  
Mark A. Eggen
Keyword(s):  
Media Coverage ◽  
The United States ◽  
Minimum Data Set ◽  
Direct Patient Care ◽  
Physician Workforce ◽  
Data Set ◽  
Minimum Data ◽  
State Medical Boards ◽  
The Impact ◽  
Current Practices

ABSTRACT Recent media coverage has focused on the supply of physicians in the United States, especially with the impact of a growing physician shortage and the Affordable Care Act. State medical boards and other entities maintain data on physician licensure and discipline, as well as some biographical data describing their physician populations. However, there are gaps of workforce information in these sources. The Federation of State Medical Boards' (FSMB) Census of Licensed Physicians and the AMA Masterfile, for example, offer valuable information, but they provide a limited picture of the physician workforce. Furthermore, they are unable to shed light on some of the nuances in physician availability, such as how much time physicians spend providing direct patient care. In response to these gaps, policymakers and regulators have in recent years discussed the creation of a physician minimum data set (MDS), which would be gathered periodically and would provide key physician workforce information. While proponents of an MDS believe it would provide benefits to a variety of stakeholders, an effort has not been attempted to determine whether state medical boards think it is important to collect physician workforce data and if they currently collect workforce information from licensed physicians. To learn more, the FSMB sent surveys to the executive directors at state medical boards to determine their perceptions of collecting workforce data and current practices regarding their collection of such data. The purpose of this article is to convey results from this effort. Survey findings indicate that the vast majority of boards view physician workforce information as valuable in the determination of health care needs within their state, and that various boards are already collecting some data elements. Analysis of the data confirms the potential benefits of a physician minimum data set (MDS) and why state medical boards are in a unique position to collect MDS information from physicians.

Minimum Data Set for Incontinence-Associated Dermatitis (MDS-IAD) in adults: Design and pilot study in nursing home residents

2018 ◽  
Vol 27 (4) ◽  
pp. 191-198
Author(s):  
Karen Van den Bussche ◽  
Sofie Verhaeghe ◽  
Ann Van Hecke ◽  
Dimitri Beeckman
Keyword(s):  
Nursing Home ◽  
Pilot Study ◽  
Nursing Home Residents ◽  
Minimum Data Set ◽  
Data Set ◽  
Minimum Data

Characteristics and Care of U.S. Nursing Home Residents with a History of Chronic Mental Illness

2000 ◽  
Vol 19 (S2) ◽  
pp. 1-17 ◽  
Author(s):  
Charles D. Phillips ◽  
Kathleen M. Spry
Keyword(s):  
Nursing Home ◽  
Nursing Home Residents ◽  
Minimum Data Set ◽  
Chronic Mental Illness ◽  
Data Set ◽  
Minimum Data ◽  
Troubles Mentaux ◽  
History Of ◽  
Resident Assessment ◽  
Medicaments Psychotropes

RÉSUMÉTrès peu de recherches ont été effectuées sur les pensionnaires des maisons de soins ayant manifestés des troubles mentaux chroniques sans démence avant leur entrée en institution. Les données du Minimum Data Set for Nursing Home Resident Assessment and Care Screening (MDS) de 1993 ont été utilisées pouranalyser les différences dans les caractéristiques et les soins se rapportant à ce type de pensionnaires par rapport aux autres pensionnaires. Cette enquête portait sur 70 000 pensionnaires du Kansas, du Maine, du Mississippi et du Dakota du Sud. Les caractéristiques des pensionnaires qui éprouvaient ce type de troubles mentaux chroniques étaient plus fréquemment les suivantes: sexe masculin, 65 ans et plus, bénéficiaires de Medicaid, moins médicalement inaptes et niveau plus élevé de problèmes de comportements. Ces pensionnaires reçoivent aussi davantage de médicaments psychotropes et suivant une thérapie, la prévalence de la thérapie étant cependant moins éleveé. Les informations recueillies pourraient laisser croire que les soins accordés à ces pensionnaires ne sont pas des plus appropriés.

scholarly journals 1686. Microbiology of Community-Onset Urinary Tract Infections in the United States, 2012-2017

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S826-S827
Author(s):  
Leigh Ellyn Preston ◽  
Clifford McDonald ◽  
Babatunde Olubajo ◽  
Natalie McCarthy ◽  
Sujan Reddy ◽  
...  
Keyword(s):  
United States ◽  
Antibiotic Resistance ◽  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Relative Frequency ◽  
The United States ◽  
Antibiotic Prescribing ◽  
Factors Associated ◽  
Tract Infections ◽  
Community Onset

Abstract Background Community-onset urinary tract infections (coUTIs) are one of the most common indications for antibiotic prescribing. It is important to understand patient demographic factors associated with microorganisms causing coUTI and their antibiotic resistance profiles, to tailor antibiotic prescribing practices. We analyzed microbiology data to understand factors associated with coUTI in the United States (US). Methods CoUTIs were identified in the Premier Healthcare Database and Cerner Health Facts among patients treated at participating healthcare facilities in the US between 2012-2017. Cases were defined by urine cultures yielding a bacterial organism and were collected in outpatient settings or within three days of hospitalization. Only the first specimen for each encounter was included in the analysis. Data on the organisms isolated, patient’s age, sex, and US census regions of the submitting facilities were described and compared using chi-square tests for associations. Encounters were classified as inpatient (INPT), observation (OBS), emergency department (ED), and outpatient (OTPT) based on the setting in which the culture was submitted. Results Using data from 637 acute care hospitals, urine samples from 3,291,561 encounters were included, with 776,653 (25.7%) INPT, 1,063,219 (34.8%) ED, 107,760 (3.5%) OBS, and 1,092,658 (35.8%) OTPT. The pathogens most frequently associated with coUTIs were Escherichia coli (57.3%), Klebsiella pneumoniae (9.7%), Enterococcus faecalis (5.1%), Proteus mirabilis (4.9%), and Pseudomonas aeruginosa (2.9%). Female sex, age &lt; 65y and OTPT and ED settings were associated with higher relative frequency of E. coli (all p &lt; 0.0001). Male sex, INPT setting and age &gt;65 y were associated with higher relative frequency of P. aeruginosa, P. mirabilis and E. faecalis (all p &lt; 0.0001, Figure). K. pneumoniae was found at higher relative frequency in those &gt;45y, and in INPT and OBS settings (all p &lt; 0.0001). Figure. Distribution of pathogens most frequently associated with community onset urinary tract infections Conclusion Understanding patient factors associated with the microbiology of coUTIs is an important step in developing treatment recommendations and antibiotic stewardship efforts. Further analyses will include assessing the impact of major antibiotic resistance phenotypes, geographic and healthcare settings. Disclosures All Authors: No reported disclosures

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