Below are descriptions of the numbers of responses to questions asked by the Health Workforce Sentinel Network, including by facility type, geography, and an overall summary of responses by question.To see findings from Sentinels’ responses to questions, click on “Findings” above and select “Findings by Facility Type” or “Findings by Geographic Region”.
Click here to see the questions asked of Sentinels.Facility Type | Apr – May 2019 | Oct – Nov 2019 |
Acute care hospital | 7 | 2 |
Behavioral-mental health clinic/outpatient mental health and substance abuse clinic | 3 | * |
Behavioral or Substance Abuse Treatment Facility† | ** | 3 |
Federally qualified health center (FQHC) or community clinic providing care free or on sliding fee scale | * | 2 |
Higher Education / Research | 8 | 10 |
Home Care Agency (Non-Medical Homemaker/Companion, Personal Care Agency) | 11 | 5 |
Licensed Home Health Care Agency (Medical) | 15 | 13 |
Licensed Hospice Agency | 8 | 5 |
Long Term Acute Care Facility (LTAC) | 3 | 4 |
Long term care facility (not a skilled nursing facility or LTAC) | 4 | 2 |
Medical/diagnostic laboratory | 4 | 0 |
Other† | 7 | 3 |
Primary care medical clinic, federally qualified health center (FQHC) or community clinic† | 5 | ** |
Skilled nursing facility | 17 | 11 |
Specialty medical clinic† | 5 | 0 |
Total | 97 | 60 |
Notes:
*This category was collapsed into a different category
**This category was not used in this data collection period
†Facility types included in combined categories
Behavioral or Substance Abuse Treatment Facility (Oct. – Nov.2019)
Behavioral-mental health clinic/outpatient mental health and substance abuse clinic, Psychiatric/substance abuse hospital, Rehabilitation
Other (Apr. – May. 2019)
Psychiatric/substance abuse hospital, Public Health, Schools (K-12)
Other (Oct. – Nov. 2019)
Public Health, Schools (K-12)
Specialty medical clinic (Apr. – May. 2019)
Commercial medical clinic, optometrist’s office, pediatric office, women’s health office
Note: Each facility could serve clients/patients in more than one county, which is why the totals in the chart below are greater than the totals in the table above.
Note: Each facility could serve clients/patients in more than one county, which is why the totals in the chart below are greater than the totals in the table above.
Use the green filters to:
- Select the question to show.
- Select the facility type(s) to show.
This shows the number of respondents from each facility type who answered “Yes” to the selected question (orange) and the number who answered “No” (grey). The top section shows the total for all selected facility types. The bottom section shows the counts for individual facility types.
Percent of reported occupations with workforce changes, by facility type and data collection period
Use the dropdown menu to select the facility types you would like to view. Move your cursor over the orange or gray bars to see the number of “Yes” or “No” responses for each question by facility type and data collection period.
Interpretation: This chart tabulates the number of occupations reported to have experienced workforce demand changes by facility type and data collection period. Multiple occupations could be reported for each facility type which means the totals shown below will be different from the totals shown in the tables and graphics above. For example, the “Response Counts by Facility Type” table above indicates that there were 7 responses from Sentinels representing acute care hospitals in the first data collection period. Each of these Sentinels indicated the occupations that experienced workforce demand changes in the 6 months before the response date. These occupations were pooled into a set of occupation-level responses representing all of the occupations reported to have experienced workforce demand changes across all 7 acute care hospitals. If you move your cursor over the orange bar in the acute care hospital row and the “Occupations with Exceptionally Long Vacancies” column above, this shows that there were 43 occupation-level responses from the 7 acute care hospitals in this data collection period. For 40 of these occupation-level responses (93%), the respondent answered “Yes”, indicating that there was an exceptionally long vacancy in the 6 months preceding data collection for the selected occupation.
Conclusion: The percentage of occupation-level responses that were reported to experience workforce changes (as indicated by the length of the orange bars) was relatively high for the exceptionally long vacancies, increased demand and retention/turnover questions; was lower for the orientation/onboarding and training questions; and was rare for the decreased demand and new roles questions across all facility types and data collection periods. In other words, the pooled set of occupation-level responses for each facility type had a higher percentage of “Yes” responses for the exceptionally long vacancy, increased demand and retention/turnover questions than for the other questions.