Response Counts

Response Counts by Facility Type
Facility Type Fall 2021
10/11 – 11/22
Acute care hospital (25 beds or fewer) 4
Acute care hospital (more than 25 beds) 31
BH – Behavioral-mental health clinic 5
BH – Group home or family care home 4
BH – Intellectual or developmental disability (IDD) residential facility 4
BH – Other out-of-facility behavioral health services† 9
BH – Other residential treatment facility 2
BH – Psychiatric hospital 4
Community/retail pharmacy 3
Dentist office/dental clinic 26
Federally qualified health center (FQHC) 6
Higher education/research organization 2
Home care or home health service 22
Hospice or palliative care service 10
Hospital/clinical pharmacy 11
Local health department or Public health organization 21
LTC – Assisted living facility 26
LTC – Nursing home or skilled nursing facility 58
LTC – Other nursing/personal care facility¶ 5
LTC – Retirement community/independent living facility 5
Medical and Diagnostic laboratory 11
Ophthalmology clinic 3
Other community clinic providing care on a free or sliding scale§ 5
Primary care medical clinic (not FQHC or community clinic) 33
Specialty hospital (including long term care, rehab, children’s) 4
Specialty medical clinic 24
Total 338

Notes:
†Facility types included in "BH – Other out-of-facility behavioral health services" by data collection period:

  • Fall  2021 –  Freestanding evaluation & treatment facility, home and community based behavior assessment and support, opioid treatment programs, Psychiatric residential treatment facility, psychiatric unit at a community hospital, psychosocial rehabilitation facility

¶Facility types included in “LTC – Other nursing/personal care facility” by data collection period:

  • Fall  2021 –  Intermediate care facility, memory care
Response Counts for Geographic Regions

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.

Rural/Urban Distribution by Facility Type

Use the green filters to:

  1. Select the question to show.
  2. 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.

Response Rates for Each Question by Facility Type and Data Collection Period

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 4 responses from Sentinels representing acute care hospitals with fewer than 2 beds 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 4 acute care hospitals. If you move your cursor over the orange bar in the acute care hospital (fewer than 25 beds) row and the “Occupations with Exceptionally Long Vacancies” column above, this shows that there were 81 occupation-level responses from the 4 acute care hospitals in this data collection period. For 40 of these occupation-level responses (49%), 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.