Effects of Nursing Home Ownership Type and Resident Payer Source on Hospitalization for Suspected Pneumonia

2006 ◽  
Vol 2006 ◽  
pp. 188-189
Author(s):  
J.R. Maurer
Medical Care ◽  
2004 ◽  
Vol 42 (10) ◽  
pp. 1001-1008 ◽  
Author(s):  
R Tamara Konetzka ◽  
William Spector ◽  
Thomas Shaffer

2018 ◽  
Author(s):  
Asharaf Abdul Salam

<p>This paper undertakes a detailed analysis of 2010 Census Population and Household Tables (Final), to assess governorate wise variations in home ownership, type of living accommodations and housing infrastructure - material used for construction, electricity, water and sewage facilities.</p> <p>The data published by the Ministry of Economics and Planning in its “Population and Housing, 2010 Census” analyzed in detail using SPSS20, applying statistical methods such as, cross tabulations and chi-square; mean and standard deviation; and One-Way ANOVA. Governorates classified into small, medium and large, according to the number of Saudi persons, have been analyzed across 13 regions quantifying homeownership status. Further governorates are classified according to the percentage of owning homes in order to analyze the type of living accommodations, built up material of housing, source of electricity, water and sewage facilities. </p> <br>


2018 ◽  
Author(s):  
Asharaf Abdul Salam

<p>This paper undertakes a detailed analysis of 2010 Census Population and Household Tables (Final), to assess governorate wise variations in home ownership, type of living accommodations and housing infrastructure - material used for construction, electricity, water and sewage facilities.</p> <p>The data published by the Ministry of Economics and Planning in its “Population and Housing, 2010 Census” analyzed in detail using SPSS20, applying statistical methods such as, cross tabulations and chi-square; mean and standard deviation; and One-Way ANOVA. Governorates classified into small, medium and large, according to the number of Saudi persons, have been analyzed across 13 regions quantifying homeownership status. Further governorates are classified according to the percentage of owning homes in order to analyze the type of living accommodations, built up material of housing, source of electricity, water and sewage facilities. </p> <br>


2020 ◽  
Author(s):  
Stephanie M Garratt ◽  
Ngaire M Kerse ◽  
Kathryn Peri ◽  
Monique F Jonas

Abstract Background A medication omission is an event where a prescribed medication is not taken before the next scheduled dose. Medication omissions are typically classed as errors within Residential Aged Care (RAC) homes, as they have the potential to lead to harm if poorly managed, but may also stem from good clinical decision-making. This study aimed to quantify the incidence, prevalence, and types of medication omissions in RAC homes on a national scale, using a New Zealand-based sample. Methods We conducted retrospective pharmacoepidemiology of de-identified medication administration e-records from December 1st 2016 to December 31st 2017. Four tiers of de-identified data were collected: RAC home level data (ownership, levels of care), care staff level data (competency level/role), resident data (gender, age, level of care), and medication related data (omissions, categories of omissions, recorded reasons for omission). Data were analysed using SPSS version 24 and Microsoft Excel.Results A total of 11, 015 residents from 374 RAC homes had active medication charts; 8,020 resided in care over the entire sample timeframe. A mean rate of 3.59 medication doses were omitted per 100 (±7.43) dispensed doses/resident. Seventy-three percent of residents had at least one dose omission. The most common omission category used was ‘not-administered’ (49.9%), followed by ‘refused’ (34.6%). The relationship between ownership type and mean rate of omission was significant (p=0.002), corporate operated RAC homes had a slightly higher mean (3.73 versus 3.33), with greater variation. The most commonly omitted medications were Analgesics and Laxatives. Forty-eight percent of all dose omissions were recorded without a comment justifying the omission. Conclusions This unique study is the first to report rate of medication omissions per RAC resident over a one-year timeframe. Although the proportion of medications omitted reported in this study is less than previously reported by hospital-based studies, there is a significant relationship between a resident’s level of care, RAC home ownership types, and the rate of omission.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Sarah Raes ◽  
Sophie Vandepitte ◽  
Delphine De Smedt ◽  
Herlinde Wynendaele ◽  
Yannai DeJonghe ◽  
...  

Abstract Background Knowledge about the relationship between the residents’ Quality of Life (QOL) and the nursing home price is currently lacking. Therefore, this study investigates the relationship between 11 dimensions of QOL and nursing homes price in Flemish nursing homes. Methods The data used in this cross-sectional study were collected by the Flemish government from years 2014 to 2017 and originates from 659 Flemish nursing homes. From 2014 to 2016, data on the QOL of 21,756 residents was assessed with the InterRAI instrument. This instrument contains 11 QOL dimensions. Multiple linear regression analyses were conducted to examine the research question. Results The multiple linear regressions indicated that a 10 euro increase in the daily nursing home price is associated with a significant decrease (P <  0.001) of 0.1 in 5 dimensions of QOL (access to services, comfort and environment, food and meals, respect, and safety and security). Hence, our results indicate that the association between price and QOL is very small. When conducting a subgroup analysis based on ownership type, the earlier found results remained only statistically significant for private nursing homes. Conclusion Our findings show that nursing home price is of limited importance with respect to resident QOL. Contrary to popular belief, our study demonstrates a limited negative effect of price on QOL. Further research that includes other indicators of QOL is needed to allow policymakers and nursing home managers to improve nursing home residents’ QOL.


2013 ◽  
Vol 16 (10) ◽  
pp. 1221-1226 ◽  
Author(s):  
Maureen E. Canavan ◽  
Melissa D. Aldridge Carlson ◽  
Heather L. Sipsma ◽  
Elizabeth H. Bradley

2021 ◽  
Vol 8 ◽  
Author(s):  
Tyler Pittman

Super-organization has been associated with worse care quality in nursing homes. Previous research on the chain ownership of American nursing homes excluded government facilities in public-private partnerships, and focused on corporate entities. This longitudinal study proposes a novel method of demarcating the latent ownership networks of for-profit, government and non-profit nursing homes in the United States through use of open data and social network analysis. Facility characteristics and care quality measures were analyzed from an ecological cohort of 9,001 American nursing homes that had a registered organization for owner, and were reimbursed through Medicare or Medicaid. Information was obtained from the Nursing Home Compare open datasets at five semi-annual processing dates from March 2016 to March 2018. Ownership networks of American nursing homes were constructed using the exact legal name of registered organizations. As hospital discharge is a routine admission source of nursing home residents, hospital referral region was actualized to demarcate focal area. Utilizing Bayesian hierarchical models, the association between nursing home super-organization in hospital referral region (inferred by degree-based centrality and Herfindahl-Hirschman Index) to scope of cited care deficiencies (denoted by Total Weighted Health Survey Score) was explored. The percentage of nursing homes having super-organization increased from 56.8 to 56.9% over the 2-year period. During this interval, the mean size of nursing home ownership group in hospital referral region increased from 3.11 to 3.23 facilities. Overall, super-organization in hospital referral region was not associated with care deficiencies in American nursing homes. However, being part of an ownership group with more facilities was beneficial for care quality among nursing homes with super-organization.


2020 ◽  
Author(s):  
Sarah Raes ◽  
Sophie Vandepitte ◽  
Delphine De Smedt ◽  
Herlinde Wynendaele ◽  
Yannai DeJonghe ◽  
...  

Abstract Background: Knowledge about the relationship between the residents’ Quality Of Life (QOL) and the nursing home price is currently lacking. Therefore, this study investigates the relationship between 11 dimensions of QOL and nursing homes price in Flemish nursing homes.Methods: The data used in this cross-sectional study were collected by the Flemish government from years 2014 to 2017 and originates from 659 Flemish nursing homes. From 2014 to 2016, data on the QOL of 21,756 residents was assessed with the InterRAI instrument. This instrument contains 11 QOL dimensions. Multiple linear regression analyses were conducted to examine the research question.Results: The multiple linear regressions indicated that a 10 euro increase in the daily nursing home price is associated with a significant decrease (P < 0.001) of 0.1 in 5 dimensions of QOL (access to services, comfort and environment, food and meals, respect, and safety and security). Hence, our results indicate that the association between price and QOL is very small. When conducting a subgroup analysis based on ownership type, the earlier found results remained only statistically significant for private nursing homes.Conclusion: Our findings show that nursing home price is of limited importance with respect to resident QOL. Contrary to popular belief, our study demonstrates a limited negative effect of price on QOL. Further research that includes other indicators of QOL is needed to allow policymakers and nursing home managers to improve nursing home residents’ QOL.


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