hcw_caps | R Documentation |
This function calculates the HCW caps found in the 'Weekly Summary', 'Inputs', and 'Back Calculations' tabs in the ESFT.
Here is the description of the bed cap calculations:
bed_cap - Bed cap to calculate max bed occupancy, equal to total number of beds available per country.
cases_screened_per_hcw_per_day - Screening/triage ratio is based on the assumption that each screening/triage takes approximately 48 minutes, which is 10 consultations per 8-hour shift.
cleaners_inpatient_cap - Max number of estimated cleaners needed, refers to Cleaners and Helpers (ILO ISCO code 9112).
hcws_inpatients_cap - Max number of estimated healthcare workers, refers to all medical practitioners, including physicians, nursing professionals, and paramedical practitioners (ILO ISCO codes 2240, 2211, 2212, 2221, 3221, 5321, 3256)
hcws_per_bed - Average number of health care workers per bed, derived from bed occupancy and typical/recommended hours per bed per health care worker.
hcws_per_inpatient - Same as hcws_per_bed.
hcws_per_outpatient - Number of health care workers required per outpatient (screening) case, or the inverse of cases screened per health care worker per day.
hcws_screening_cap - Max number of estimated health care workers dedicated to screening COVID-19 cases.
hygienists_per_bed - Average number of hygienists per bed, derived from bed occupancy and typical/recommended hours per bed per hygienist.
lab_staff_cap - Estimated max number of possible lab staff - either derived from the different machines and their estimated COVID-19 capacity or derived from the total number of available lab staff.
perc_crit_cases - Percent of all patients occupying beds who are of critical severity.
perc_screening_covid - Percent of all HCWs dedicated to screening COVID-19 cases (usually the percent leftover after accounting for those who are and are not dedicated to COVID-19 response)
perc_sev_cases - Percent of all patients occupying beds who are of severe case severity.
perc_treating_covid - Percent of HCWs dedicated to responding to COVID-19.
prob_inpatient - Probability that a COVID-19 case is inpatient, i.e. in a care facility.
prob_outpatient - Probability that a COVID-19 case is outpatient, i.e. that it is not in a care facility.
ratio_hcws_inpatient_outpatient - Per new case, ratio of HCWs for inpatient vs. outpatient
hcw_caps(params, capacity, throughput, hwfe, patients, overrides = list())
params |
From get_parameters |
capacity |
Country capacity, get_country_capacity |
throughput |
Throughput dataframe, from r data file - can be altered |
hwfe |
From WHO ESFT sheet |
patients |
From patients_weekly |
overrides |
a named list of hcw_cap values to use instead of defaults |
List of caps
Iso3c code these HCW caps are associated with.
Hospital bed cap (equals number of beds per country, as found in the capacity function, which takes it from the World Bank)
Calculates the number of cases that could theoretically be screened per HCW per day based on standardized recommendations of hours spent per day per patient per HCW grouping (which was developed using HWFE tool methodology and consultation with clinical leads)
Number of beds times the hygienists per bed in a hospital setting
Percent of HCWs treating COVID-19 patients times the number of HCWs
Number of HCWs per bed, weighted by the total number of beds in use by severity and the time recommended for HCWs to spend at beds by severity
Same as hcws_per_bed
1/Number of cases screened per HCW per day
Percent of HCWs screening COVID-19 times the number of HCWs
Number of hygienists per bed, weighted by the total number of beds in use by severity and the time recommended for hygienists to spend at beds by severity
If there are machines dedicated to COVID-19 test processing, its the average of their percent capacity allocation to COVID multiplied by the number of lab staff. If there are no estimates for percent allocation to COVID, it is equal to the total number of lab staff
Percent of total critical beds in use divided by the total beds in use over the forecasting period
Percent of HCWs dedicated to COVID-19 screening, which is equal to the leftover Percent after accounting for those HCWs not dedicated to COVID-19 and those allocated to COVID-19 response
Percent of total severe beds in use divided by the total beds in use over the forecasting period
Percent of HCWs dedicated to COVID-19 response - this depends on the total patients in beds and the number of HCWs needed to respond to them during the forecasting period
Probability the patient in inpatient (severe or critical)
Probability the patient in inpatient (mild or moderate)
Ratio of inpatient dedicated HCWs to inpatient and outpatient HCWs
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