Anne O E van den Bulck
Biographic Data
| ID | 6577503 |
|---|---|
| NAME | Anne O E van den Bulck |
| GIVEN NAMES | Anne O E van den |
| FAMILY NAME | Bulck |
| SIGNATURE | VAN DEN BULCK A O E |
| AFFILIATIONS | Maastricht University |
| ORCID | 0000-0001-5925-5540 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
In the Eye of the Storm
The COVID-19 pandemic has severely affected healthcare delivery across the world. However, little is known about COVID-19's impact on home healthcare (HHC) services. Our study aimed to: (1) describe the changes in volume and intensity of HHC services and the crisis management policies implemented; (2) understand the responses and the experiences of HHC staff and clients. We conducted an explanatory sequential mixed methods study. First, retrospec…
Towards case-mix based homecare payment
The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 2.913 (2021 JCR, received in June 2022)The IJIC 20th Anniversary Issue was published in 2021
A systematic review of case-mix models for home health care payment
Which client characteristics predict home‐care needs? Results of a survey study among Dutch home‐care nurses
Fee-for-service, funding care on an hourly rate basis, creates an incentive for home-care providers to deliver high amounts of care. Under casemix funding, in contrast, clients are allocated-based on their characteristics-to homogenous, hierarchical groups, which are subsequently funded to promote more effective and efficient care. The first step in developing a casemix model is to understand which client characteristics are potential predictors …
Which client characteristics predict home‐care needs? Results of a survey study among Dutch home‐care nurses
Fee-for-service, funding care on an hourly rate basis, creates an incentive for home-care providers to deliver high amounts of care. Under casemix funding, in contrast, clients are allocated-based on their characteristics-to homogenous, hierarchical groups, which are subsequently funded to promote more effective and efficient care. The first step in developing a casemix model is to understand which client characteristics are potential predictors …
Which client characteristics predict home‐care needs? Results of a survey study among Dutch home‐care nurses
Fee-for-service, funding care on an hourly rate basis, creates an incentive for home-care providers to deliver high amounts of care. Under casemix funding, in contrast, clients are allocated-based on their characteristics-to homogenous, hierarchical groups, which are subsequently funded to promote more effective and efficient care. The first step in developing a casemix model is to understand which client characteristics are potential predictors …
A systematic review of case-mix models for home health care payment
In the Eye of the Storm
The COVID-19 pandemic has severely affected healthcare delivery across the world. However, little is known about COVID-19's impact on home healthcare (HHC) services. Our study aimed to: (1) describe the changes in volume and intensity of HHC services and the crisis management policies implemented; (2) understand the responses and the experiences of HHC staff and clients. We conducted an explanatory sequential mixed methods study. First, retrospec…
Towards case-mix based homecare payment
The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 2.913 (2021 JCR, received in June 2022)The IJIC 20th Anniversary Issue was published in 2021
Business (2 works) · Medicine (2 works) · Nursing (2 works) · Psychology (2 works) · Anticipation (artificial intelligence (1 work) · Chronic Disease Management Strategies (1 work) · Computer Science (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · COVID-19 and healthcare impacts (1 work) · COVID-19 and Mental Health (1 work)