scholarly journals Case Management in Primary Care for Frequent Users of Health Care Services: A Mixed Methods Study

2018 ◽  
Vol 16 (3) ◽  
pp. 232-239 ◽  
Author(s):  
Catherine Hudon ◽  
Maud-Christine Chouinard ◽  
Marie-France Dubois ◽  
Pasquale Roberge ◽  
Christine Loignon ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Mixed Methods ◽  
Case Management ◽  
Health Care Services ◽  
Mixed Methods Study ◽  
Frequent Users ◽  
Care Services

scholarly journals Case Management in Primary Care for Frequent Users of Health Care Services: A Realist Synthesis

2020 ◽  
Vol 18 (3) ◽  
pp. 218-226 ◽  
Author(s):  
Catherine Hudon ◽  
Maud-Christine Chouinard ◽  
Kris Aubrey-Bassler ◽  
Nazeem Muhajarine ◽  
Fred Burge ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Case Management ◽  
Health Care Services ◽  
Realist Synthesis ◽  
Frequent Users ◽  
Care Services

Suicide attempt survivors’ experiences with mental health care services: A mixed methods study.

2020 ◽  
Vol 51 (2) ◽  
pp. 172-183
Author(s):  
Melanie A. Hom ◽  
Evan A. Albury ◽  
Marielle M. Gomez ◽  
Kirsten Christensen ◽  
Ian H. Stanley ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mixed Methods ◽  
Suicide Attempt ◽  
Mental Health Care ◽  
Health Care Services ◽  
Mixed Methods Study ◽  
Care Services

scholarly journals Identifying Frequent Health Care Users and Care Consumption Patterns: Process Mining of Emergency Medical Services Data

10.2196/27499 ◽  
2021 ◽  
Vol 23 (10) ◽  
pp. e27499
Author(s):  
Laura Maruster ◽  
Durk-Jouke van der Zee ◽  
Erik Buskens
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Frail Elderly ◽  
Health Care Services ◽  
Process Mining ◽  
Consumption Patterns ◽  
Care Providers ◽  
Frequent Users ◽  
Care Services ◽  
Elderly Users

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.

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