scholarly journals INCOME PER BED AS A DETERMINANT OF HOSPITAL’S FINANCIAL LIQUIDITY

2014 ◽  
Vol 9 (2) ◽  
pp. 124-131
Author(s):  
Agnieszka Bem ◽  
Paulina Ucieklak-Jeż ◽  
Paweł Prędkiewicz
Keyword(s):  
Health Care ◽  
Financial Management ◽  
Health Care Services ◽  
Annual Income ◽  
Financial Condition ◽  
Care Services ◽  
Intensity Of Care ◽  
Financial Liquidity ◽  
Using Data ◽  
The Relationship

Hospitals’ financial condition is very important, in terms of availability and quality of inpatient health care services. Inpatient’s services consume, in Poland, an important part (about 50%) of National Health Fund resources, but financial situation of hospitals is difficult and many hospitals report problems with liquidity and solvency. The purpose of this research is to study the relationship between the intensity of care, measured by the annual income per bed, and the static liquidity ratios (current ratio and quick ratio). The research has been conducted on the sample of 138 Polish hospitals, using data covering the period 2009-2011. In order to test research hypotheses, statistical tools have been used (T-Student distribution). The study has shown, that, during analyzed period, liquidity ratios have lowered and the level of financial liquidity is, in case of Polish hospitals, lower than recommended in the literature. The authors also confirmed the existence of the relationship between annual income per bed and liquidity ratios. However, the most important finding is that the relationship between the hospital’s income per bed and financial liquidity ratios is positive only up to a certain level, which has been estimated at about 60,000-70,000 EUR per bed. Above this level further increase in income per bed decreases liquidity ratios. This finding seems to be extremely important for health care managers, which usually strive for the income maximization. Key words: hospital, financial liquidity, financial management, CR, QR.

Impact of Human Resource Management Practices on Employees' Turnover Intention in United Arab Emirates (UAE) Health Care Services

2018 ◽  
Vol 10 (4) ◽  
pp. 21-41 ◽  
Author(s):  
Hussein BaniMelhem ◽  
Hossam M. Abu Elanain ◽  
Matloub Hussain
Keyword(s):  
Health Care ◽  
Human Resource ◽  
United Arab Emirates ◽  
Turnover Intention ◽  
Health Care Services ◽  
Management Practices ◽  
Health Care Sector ◽  
Care Services ◽  
Human Resource Management Practices ◽  
The Relationship

The article aims to examine the relationship between the human resource practices and employees' turnover intention in United Arab Emirates health care sector. This quantitative study utilized a structure equation model (SEM) technique with Analysis of Moment Structures (AMOS) 18 software package to analyze data and to investigate the impact of human resources practices on employees' turnover intention in United Arab Emirates health care services. Results of the study showed that human resources (HRM) practices in health care sector (recruitment and selection, performance appraisal, compensation, and career development) have significant relationship with turnover intention. However, this research was limited to the Public Health Care Sector in UAE and it is recommended to include Private health care sector. Moreover, inclusion of health care workers from different emirates such as Dubai and Sharjah will be needed in future researches. Health care facilities management should have a closer look at the significant human resource practices as an initiative to restructure HRM practices, policies, procedures to increase staff satisfaction, reduce employees' turnover intention and retain its valuable health care professionals. This article is among the first and most exhaustive ones carried out in health care sector in UAE. It explores the relationship between the human resource management practices and the employees' turnover intentions.

Hospital prices and market structure in the hospital and insurance industries

2010 ◽  
Vol 5 (4) ◽  
pp. 459-479 ◽  
Author(s):  
Asako S. Moriya ◽  
William B. Vogt ◽  
Martin Gaynor
Keyword(s):  
Health Care ◽  
Health Care Services ◽  
Market Concentration ◽  
Insurance Market ◽  
Hospital Services ◽  
Hospital Market ◽  
Market Effects ◽  
Transaction Prices ◽  
Care Services ◽  
The Relationship

AbstractThere has been substantial consolidation among health insurers and hospitals, recently, raising questions about the effects of this consolidation on the exercise of market power. We analyze the relationship between insurer and hospital market concentration and the prices of hospital services. We use a national US dataset containing transaction prices for health care services for over 11 million privately insured Americans. Using three years of panel data, we estimate how insurer and hospital market concentration are related to hospital prices, while controlling for unobserved market effects. We find that increases in insurance market concentration are significantly associated with decreases in hospital prices, whereas increases in hospital concentration are non-significantly associated with increases in prices. A hypothetical merger between two of five equally sized insurers is estimated to decrease hospital prices by 6.7%.

Clustering Diagnoses from 58M Patient Visits in Finland 2015–2018 (Preprint)

2021 ◽  
Author(s):  
Pasi Fränti ◽  
Sami Sieranoja ◽  
Katja Wikström ◽  
Tiina Laatikainen
Keyword(s):  
Health Care ◽  
Health Care Services ◽  
Clustering Algorithm ◽  
Target Population ◽  
Care Process ◽  
Care Services ◽  
System P ◽  
Integration Of Services ◽  
Effective Organization ◽  
Using Data

BACKGROUND Patients with multiple chronic diseases cause a major burden to the health service system. Currently, diseases are mostly treated separately without paying enough attention to their relationships, which results in a fragmentation of the care process. Better integration of services can lead to more effective organization of the overall health care system. OBJECTIVE To analyze the connections between diseases based on their co-occurrences in order to support decision-makers in better organizing health care services. METHODS We performed cluster analysis of diagnosis using data from the Finnish Health Care Registers for primary and specialized health care visits and inpatient care. The target population of this study comprised all individuals aged 18 years or older who used health care services during the years 2015–2018. Clustering was performed based on the co-occurrence of diagnoses. The more the same pair of diagnoses appears in the records of same patients, the more the diagnoses correlate. Based on the co-occurrences, we calculated the relative risk of each pair of diagnoses and clustered the data using a graph-based clustering algorithm called M-algorithm, a variant of k-means. RESULTS The results reveal multimorbidity clusters, of which some are expected, for example one representing hypertensive and cardiovascular diseases. Other clusters are more unexpected, such as a cluster containing lower respiratory tract diseases and systemic connective tissue disorders. We also report the estimated cost effect of each cluster to society. CONCLUSIONS The method and achieved results provide new insight to identify key multimorbidity groups, especially ones resulting in burden and costs in health care services.

Spatio-Temporal Hot Spot Analysis of Epidemic Diseases Using Geographic Information System for Improved Healthcare

2019 ◽  
pp. 31-63
Author(s):  
Uma V. ◽  
Jayanthi Ganapathy
Keyword(s):  
Health Care ◽  
Spatial Analysis ◽  
Health Care Services ◽  
Hot Spot ◽  
Care Services ◽  
Treatment And Prevention ◽  
Epidemiology Data ◽  
Care Systems ◽  
Spatio Temporal ◽  
Using Data

Health-care systems aid in the diagnosis, treatment and prevention of diseases. Epidemiology deals with the demographic study on frequency, distribution and determinants of disease in order to provide better health-care. Today information technology has made data pervasive i.e. data is available anywhere and in abundance. GIS in epidemiology enables prompt services to mankind or people at risk. It brings out health-care services that are amicable for prevention and control of disease spread. This could be achieved when epidemiology data is modeled considering temporal and spatial factors and using data driven computation techniques over such models. This chapter discusses 1) the need for integrating GIS and epidemiology, 2) various case studies that indicates the need for spatial analysis being performed on epidemiologic data, 3) few techniques involved in the spatial analysis, 4) functionalities provided by some of the widely used GIS software packages and tools.

Anthropology and Informatics in Health Care

2020 ◽  
Author(s):  
Laurie Novak ◽  
Joyce Harris
Keyword(s):  
Health Care ◽  
Delivery Of Health Care ◽  
Health Informatics ◽  
Health Care Services ◽  
Collaborative Work ◽  
Health Records ◽  
Care Services ◽  
Care Workers ◽  
Health And Illness ◽  
Using Data

Information technology increasingly figures into the activities of health-care workers, patients, and their informal caregivers. The growing intersection of anthropology and health informatics is reviewed, a field dedicated to the science of using data, information, and knowledge to improve human health and the delivery of health-care services. Health informatics as a discipline wrestles with complex issues of information collection, classification, and presentation to patients and working clinical personnel. Anthropologists are well-suited as collaborators in this work. Topics of collaborative work include the construction of health and illness, patient-focused research, the organization and delivery of health-care services, the design and implementation of electronic health records, and ethics, power, and surveillance. The application of technology to social roles, practices, and power relations that is inherent in health informatics provides a rich source of empirical data to advance anthropological theory and methods.

scholarly journals Health Care Needs and Services for Elder and Disabled Population: Findings from a Barcelona Study

2020 ◽  
Vol 17 (21) ◽  
pp. 8071
Author(s):  
Jessica Rodriguez-Pereira ◽  
Jesica de Armas ◽  
Lorenzo Garbujo ◽  
Helena Ramalhinho
Keyword(s):  
Health Care ◽  
Health Care Services ◽  
Modern Society ◽  
Health Care Needs ◽  
Health Care Demand ◽  
Care Needs ◽  
Care Services ◽  
Health Care Infrastructure ◽  
The Relationship ◽  
Population Segment

Health care is a pillar of modern society. This study focuses on the use of descriptive analytics to provide demographic and territorial insights that will be of strategic importance in planning subsequent projects meant to improve health care services. We especially focus on the assessment of the elder and disabled population health care needs in Barcelona, and evaluate to what extent the current health care infrastructure is successful in covering the demand of these fragile population segment. This work is developed around three main assessments in the municipality of Barcelona: the elder and disabled health care demand, the available health care services, and the relationship between demand and services, showing that territorial and demographic aspects are relevant in assessing the health needs of the population.

Socioeconomic status and primary health service use for mental health problems among immigrants with short and long lengths of stay

2016 ◽  
Vol 12 (2) ◽  
pp. 85-98 ◽  
Author(s):  
Melanie Lindsay Straiton ◽  
Anne Reneflot ◽  
Esperanza Diaz
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Health Care Services ◽  
Service Use ◽  
Mental Health Problems ◽  
Health Problems ◽  
Content Type ◽  
Care Services ◽  
Primary Health ◽  
The Relationship

Purpose – High socioeconomic status (SES) is associated with better health and lower use of health care services in the general population. Among immigrants, the relationship appears less consistent. The purpose of this paper is to determine if the relationship between income level (a proxy for SES) and use of primary health care services for mental health problems differs for natives and five immigrant groups in Norway. It also explores the moderating effect of length of stay (LoS) among immigrants. Design/methodology/approach – Using data from two registers with national-level coverage, logistic regression analyses with interactions were carried out to determine the association between income level and having used primary health care services for mental health problems. Findings – For Norwegian men and women there was a clear negative relationship between income and service use. Interaction analyses suggested that the relationship differed for all immigrant groups compared with Norwegians. When stratifying by LoS, income was not associated with service use among recently arrived immigrants but was negatively associated among immigrants staying more than two years (with the exception of Pakistani and Iraqi women). Research limitations/implications – Country of origin and LoS should be considered when applying measures of SES in immigrant health research. Social implications – There may be an initial transition period for recently arrived immigrants where competing factors mask the association between SES and service use. Originality/value – This study benefits from nationwide coverage, eliminating self-selection biases. It demonstrates the complexity of the relationship between SES and health care use.

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