Integral resource capacity planning for inpatient care services based on bed census predictions by hour

2015 ◽  
Vol 66 (7) ◽  
pp. 1061-1076 ◽  
Author(s):  
Nikky Kortbeek ◽  
Aleida Braaksma ◽  
Ferry HF Smeenk ◽  
Piet JM Bakker ◽  
Richard J Boucherie
2013 ◽  
Vol 3 (1) ◽  
pp. 47 ◽  
Author(s):  
Reza Shahpori ◽  
Noel Gibney ◽  
Nancy Guebert ◽  
Caroline Hatcher ◽  
David Zygun

Intensive Care Unit (ICU) beds are among the most valuable hospital resources for which demands periodically exceed supplies. Hence monitoring and management of utilization of these resources is essential for providing an efficient and equitable service. The purpose of this article is to describe the design, development and utilization of a dashboard for the measurement of occupancy and management of capacity of a provincial network of ICUs. The dashboard utilizes the exiting hospital data sources and infrastructure to provide a timely snapshot of bed utilization as well as a historical view of unit occupancy and enables simulation scenarios for capacity planning in a dispersed geographical location. This information is used by administration for managing the scarce ICU resources and helping with standardization of admit and discharge processes to and from intensive care units in order to enhance efficiency. In our case, the existing hospital information systems proved to contain reliable data and the existing information technology infrastructure owned proper resources to be accessed to develop such valuable tool. Such dashboard presents necessary information to facilitate understanding of capacity and bed utilization and can help create a sense of community and standardization of critical care services which would eventually contribute to a more equitable and efficient health system.


Author(s):  
Claudia Geue ◽  
Olivia Wu ◽  
Terry J Quinn ◽  
Alastair Leyland ◽  
Jim Lewsey

ABSTRACTBackgroundAnalyses of inpatient care admissions have shown that population ageing does not lead to an increase in future healthcare expenditure to the extent that might be expected and that remaining time to death (TTD) is an equally important cost element. But as people live longer and the onset of disease and death are postponed to older ages the utilisation of social care services is another major cost component for elderly people, in particular those with chronic diseases. However, there is a distinct lack of social care data in Scotland to estimate the impact of population ageing and TTD on social care expenditure. ObjectivesThis study aims to estimate the utilisation and associated costs of inpatient and home care services among end-of-life patients. It will also determine the feasibility of undertaking the linkage of home care service utilisation data, inpatient care episodes and death records. MethodsNHS Greater Glasgow and Clyde (NHSGGC) social home care data (Cordia), Scottish Morbidity Records (SMR01) and death records (National Records for Scotland, NRS) will be utilised in order to estimate utilisation and costs for home care services and inpatient care at the end of life. The ‘Cordia’ data is available for the period September 2013 to November 2013 and includes information on the type, duration and frequency of home care services utilised. Costs will be assigned using ‘Personal Social Services Research Unit’ (PSSRU) costs. Using multilevel modelling techniques the association between TTD, age, demographic and socio-economic measures and expenditure on home care services will be estimated, while allowing the effect of covariates to vary over hierarchical levels, such as episode of care and the patient. Expected OutcomesThe wider literature suggests that contrary to inpatient care, costs at the end of life for the oldest old might be higher when considering elements of social care provision. The ‘Cordia’ data consists of 7,367 individuals with 1,620 observed deaths. Further results are forthcoming and findings will significantly add to the knowledge base in the area of population ageing and related health- and social care expenditure. This is a novel linkage and given the difficulties in obtaining social care data, this study will i) help to evaluate the feasibility of using these data for research, and ii) identify where costs at the end of life occur, thus facilitating more targeted approaches to end-of-life care.


2020 ◽  
Author(s):  
Paul Joseph Amani ◽  
Malale Tungu ◽  
Anna-Karin Hurtig ◽  
Angwara Denis Kiwara ◽  
Gasto Frumence ◽  
...  

Abstract BackgroundResponsiveness has become an important health system performance indicator in evaluating the ability of health care systems to meet patients’ expectations. However, its measurement in sub-Saharan Africa remains scarce. This study aimed to assess the responsiveness of the health care services among the insured and non-insured elderly in Tanzania and to explore the association of health insurance (HI) with responsiveness in this population. MethodsA community-based cross-sectional study was conducted in 2017 where a pre-tested household survey, administered to the elderly (60 + years) living in Igunga and Nzega districts, was applied. Participants with and without health insurance who attended outpatient and inpatient health care services in the past three and 12 months were selected. Responsiveness was measured based on the short version of the World Health Organization (WHO) multi-country responsiveness survey study, which included the dimensions of quality of basic amenities, choice, confidentiality, autonomy, communication and prompt attention. Quantile regression was used to assess the specific association of the responsiveness index with health insurance adjusted for sociodemographic factors.ResultsA total of 1453 and 744 elderly, of whom 50.1% and 63% had health insurance, used outpatient and inpatient health services, respectively. All domains were rated relatively highly but the uninsured elderly reported better responsiveness in all domains of outpatient and inpatient care. Waiting time was the dimension that performed worst. Possession of health insurance was negatively associated with responsiveness in outpatient (−1; 95% CI: −1.45, −0.45) and inpatient (−2; 95% CI: −2.69, −1.30) care. Conclusion The uninsured elderly reported better responsiveness than the insured elderly in both outpatient and inpatient care. Special attention should be paid to those dimensions, like waiting time, which ranked poorly. Further research is necessary to reveal the reasons for the lower responsiveness noted among insured elderly. A continuous monitoring of health care system responsiveness is recommended.


2020 ◽  
Author(s):  
Paul Joseph Amani ◽  
Malale Tungu ◽  
Anna-Karin Hurtig ◽  
Angwara Denis Kiwara ◽  
Gasto Frumence ◽  
...  

Abstract Introduction Responsiveness has become an important health systems performance indicator in evaluating the ability of the health care systems to meet the expectations of the patients. However, its measurement in sub-Saharan Africa remains scarce. This study aimed to assess the responsiveness of the health care services among the insured and non-insured elderly in Tanzania, in order to contribute with relevant knowledge to improve the performance of the health care system among the elderly in the country. Methods A community-based cross-sectional study was conducted in 2017 where a pre-tested household survey administered to elderly (60 +) living in Igunga and Nzega districts was applied. Participants with and without health insurance who attended outpatient and inpatient health care services in the past three and twelve months were selected. Responsiveness was measured based on the WHO-SAGE questionnaire that included the dimensions of quality of basic amenities, choice, confidentiality, autonomy, communication and prompt attention. Quantile regression was used to assess the specific association of the responsiveness index with health insurance and socio-demographic factors.Results A total of 1453 and 744 elderly, of whom 50.1% and 63% had health insurance, used the outpatient and inpatient health services respectively. All the different domains were rated relatively high but the uninsured elderly reported better responsiveness in all domains of outpatient and inpatient care. Waiting time was the dimension that performed worst. Possession of health insurance was negatively associated with responsiveness in outpatient (-1; 95% CI: -1.45, -0.45) and inpatient (-2; 95% CI: -2.69, -1.30) care. Conclusion The uninsured elderly reported better responsiveness than the insured elderly in both outpatient and inpatient care. Special attention should be paid to those dimensions, like waiting time, which ranked low. Further research is necessary to reveal the reasons for the lower responsiveness among insured elderly. A continuous monitoring of the health care system responsiveness is recommended.


2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Paul Joseph Amani ◽  
Malale Tungu ◽  
Anna-Karin Hurtig ◽  
Angwara Denis Kiwara ◽  
Gasto Frumence ◽  
...  

Abstract Background Responsiveness has become an important health system performance indicator in evaluating the ability of health care systems to meet patients’ expectations. However, its measurement in sub-Saharan Africa remains scarce. This study aimed to assess the responsiveness of the health care services among the insured and non-insured elderly in Tanzania and to explore the association of health insurance (HI) with responsiveness in this population. Methods A community-based cross-sectional study was conducted in 2017 where a pre-tested household survey, administered to the elderly (60 + years) living in Igunga and Nzega districts, was applied. Participants with and without health insurance who attended outpatient and inpatient health care services in the past three and 12 months were selected. Responsiveness was measured based on the short version of the World Health Organization (WHO) multi-country responsiveness survey study, which included the dimensions of quality of basic amenities, choice, confidentiality, autonomy, communication and prompt attention. Quantile regression was used to assess the specific association of the responsiveness index with health insurance adjusted for sociodemographic factors. Results A total of 1453 and 744 elderly, of whom 50.1 and 63% had health insurance, used outpatient and inpatient health services, respectively. All domains were rated relatively highly but the uninsured elderly reported better responsiveness in all domains of outpatient and inpatient care. Waiting time was the dimension that performed worst. Possession of health insurance was negatively associated with responsiveness in outpatient (− 1; 95% CI: − 1.45, − 0.45) and inpatient (− 2; 95% CI: − 2.69, − 1.30) care. Conclusion The uninsured elderly reported better responsiveness than the insured elderly in both outpatient and inpatient care. Special attention should be paid to those dimensions, like waiting time, which ranked poorly. Further research is necessary to reveal the reasons for the lower responsiveness noted among insured elderly. A continuous monitoring of health care system responsiveness is recommended.


2020 ◽  
pp. 1-12
Author(s):  
Karsten Elmose-Østerlund ◽  
Graham Cuskelly ◽  
Jens Høyer-Kruse ◽  
Christian Røj Voldby

Despite a rich literature on organizational capacity (OC) in voluntary sports clubs (VSCs), few studies have examined OC building and its long-term sustainability. Against this background, the authors identified changes in OC among VSCs that participated in a club development program and examined the sustainability of these changes. The authors collected survey data 9 months after participation comparing the participating VSCs (n = 62) with similar nonparticipating VSCs (n = 64). A selection of the participating VSCs was then contacted 3–4 years later for a follow-up survey (n = 48) and focus group interviews (n = 5). The results show that (a) significant differences in human resource capacity, planning and development capacity, and infrastructure and process capacity were visible between the participating and nonparticipating VSCs, and that (b) certain changes in OC remain in the clubs 3–4 years after participation. A sustainable change was that core volunteers related differently to the work in their respective VSCs.


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