Jaap Stam
Biographic Data
| ID | 6577506 |
|---|---|
| NAME | Jaap Stam |
| GIVEN NAMES | Jaap |
| FAMILY NAME | Stam |
| SIGNATURE | STAM J |
| AFFILIATIONS | Dutch Healthcare Authority |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 1 |
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 …
Business (1 work) · Chronic Disease Management Strategies (1 work) · Descriptive statistics (1 work) · Family medicine (1 work) · Geriatric Care and Nursing Homes (1 work) · Incentive (1 work) · Likert scale (1 work) · Medicine (1 work) · Nursing (1 work) · Palliative Care and End-of-Life Issues (1 work)