scholarly journals Predictors and Frailty Level in the Frail Elderly Receiving Home Visiting Health Care Services

2016 ◽  
Vol 41 (3) ◽  
pp. 129-139
Author(s):  
Jeong Sook Park ◽  
Yun Jung Oh
10.2196/27499 ◽  
2021 ◽  
Vol 23 (10) ◽  
pp. e27499
Author(s):  
Laura Maruster ◽  
Durk-Jouke van der Zee ◽  
Erik Buskens

Background Tracing frequent users of health care services is highly relevant to policymakers and clinicians, enabling them to avoid wasting scarce resources. Data collection on frequent users from all possible health care providers may be cumbersome due to patient privacy, competition, incompatible information systems, and the efforts involved. Objective This study explored the use of a single key source, emergency medical services (EMS) records, to trace and reveal frequent users’ health care consumption patterns. Methods A retrospective study was performed analyzing EMS calls from the province of Drenthe in the Netherlands between 2012 and 2017. Process mining was applied to identify the structure of patient routings (ie, their consecutive visits to hospitals, nursing homes, and EMS). Routings are used to identify and quantify frequent users, recognizing frail elderly users as a focal group. The structure of these routes was analyzed at the patient and group levels, aiming to gain insight into regional coordination issues and workload distributions among health care providers. Results Frail elderly users aged 70 years or more represented over 50% of frequent users, making 4 or more calls per year. Over the period of observation, their annual number and the number of calls increased from 395 to 628 and 2607 to 3615, respectively. Structural analysis based on process mining revealed two categories of frail elderly users: low-complexity patients who need dialysis, radiation therapy, or hyperbaric medicine, involving a few health care providers, and high-complexity patients for whom routings appear chaotic. Conclusions This efficient approach exploits the role of EMS as the unique regional “ferryman,” while the combined use of EMS data and process mining allows for the effective and efficient tracing of frequent users’ utilization of health care services. The approach informs regional policymakers and clinicians by quantifying and detailing frequent user consumption patterns to support subsequent policy adaptations.


Author(s):  
Sue-Hyang Lee ◽  
Soo-Myoung Bae ◽  
Bo-Mi Shin ◽  
Sun-Jung Shin

This study was conducted using the Q methodology to categorize Korean older persons’ subjective perceptions of home visiting oral health care services. Various opinions regarding home visiting oral health care services were collected based on related literature, and by conducting in-depth interviews with 12 people. Thirty-two statements were finally selected, and Q classification was applied. Based on data analysis with the PC-QUANL program, six factors (seven types) were derived, which accounted for 49.6% of the total variance. By comprehensive analysis of the types of subjective perceptions of home visiting oral health care services, the following two characteristics were identified. Korean older persons were expected to promote their own oral health activities, or improved access to expert health care services, through the home visiting oral health care services. Additionally, they had a need for social, economic, emotional, and informational support. Therefore, home visiting dental personnel should be able to provide customized visiting oral health care services based on evaluation of the need and type of perception of older persons. Thus, it is essential for visiting dental personnel to be trained in the knowledge of social welfare, and to develop diverse competencies.


2021 ◽  
Author(s):  
Laura Maruster ◽  
Durk-Jouke van der Zee ◽  
Erik Buskens

BACKGROUND Tracing frequent users of health care services is highly relevant to policymakers and clinicians, enabling them to avoid wasting scarce resources. Data collection on frequent users from all possible health care providers may be cumbersome due to patient privacy, competition, incompatible information systems, and the efforts involved. OBJECTIVE This study explored the use of a single key source, emergency medical services (EMS) records, to trace and reveal frequent users’ health care consumption patterns. METHODS A retrospective study was performed analyzing EMS calls from the province of Drenthe in the Netherlands between 2012 and 2017. Process mining was applied to identify the structure of patient routings (ie, their consecutive visits to hospitals, nursing homes, and EMS). Routings are used to identify and quantify frequent users, recognizing frail elderly users as a focal group. The structure of these routes was analyzed at the patient and group levels, aiming to gain insight into regional coordination issues and workload distributions among health care providers. RESULTS Frail elderly users aged 70 years or more represented over 50% of frequent users, making 4 or more calls per year. Over the period of observation, their annual number and the number of calls increased from 395 to 628 and 2607 to 3615, respectively. Structural analysis based on process mining revealed two categories of frail elderly users: low-complexity patients who need dialysis, radiation therapy, or hyperbaric medicine, involving a few health care providers, and high-complexity patients for whom routings appear chaotic. CONCLUSIONS This efficient approach exploits the role of EMS as the unique regional “ferryman,” while the combined use of EMS data and process mining allows for the effective and efficient tracing of frequent users’ utilization of health care services. The approach informs regional policymakers and clinicians by quantifying and detailing frequent user consumption patterns to support subsequent policy adaptations. CLINICALTRIAL


2014 ◽  
Author(s):  
Susana J. Ferradas ◽  
G. Nicole Rider ◽  
Johanna D. Williams ◽  
Brittany J. Dancy ◽  
Lauren R. Mcghee

Sign in / Sign up

Export Citation Format

Share Document