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Staffing is the management function of providing the right number and mix of competent personnel, at the right time and place, to meet client needs safely and efficiently. It covers estimating how many staff are needed, recruiting and assigning them, and scheduling them across shifts.
| Term | Meaning |
|---|---|
| Nursing workload | Total nursing time required = direct care + indirect care + personal/unavoidable time |
| Direct care | Activities done with or for the client: assessment, medications, treatments, hygiene, teaching |
| Indirect care | Activities for the client but away from the bedside: documentation, endorsement, coordinating with other departments, preparing medications, supply management |
| Nursing care hours (NCH) / hours per patient day | Average nursing hours a client needs in 24 hours |
| Patient classification system (PCS) | Groups clients by nursing care needs (acuity) and assigns standard care hours to each category |
| Skill mix (staff mix) | The proportion of different categories and experience levels of staff (registered nurses, nursing attendants; senior and new nurses) |
| Relief factor | A multiplier that adds staff to cover days off, holidays, leave, training, and absences so the unit stays staffed every day of the year |
| Full-time equivalent (FTE) | One full-time position; two half-time nurses = 1 FTE |
| Census | The number of clients on the unit (average daily census is used for planning) |
| Approach | Description |
|---|---|
| Descriptive (ratio) method | Uses fixed nurse-to-bed or nurse-to-patient ratios. Simple, but does not reflect differences in acuity — two wards with the same number of beds may need very different nursing time |
| Industrial engineering method | Measures nursing activities with time-and-motion or work-sampling studies to find how long each task takes |
| Management engineering method (PCS-based) | Classifies clients by care needs, applies standard hours per category, and calculates required staff; the most client-centered approach |
| Historical data | Uses past staffing and workload records; realistic for that hospital, but may repeat past inefficiencies |
| WISN (Workload Indicators of Staffing Need) | A World Health Organization method, adopted by the Philippine DOH for health workforce planning, that calculates staff needs from actual workload and the time available per worker |
Patient classification methods: the prototype evaluation approach places clients into 3–4 broad categories by typical characteristics (for example, minimal, moderate, intensive care) with an average time per category; the factor evaluation approach scores specific care activities by frequency and time and adds them up.
| Method | Description | Pros / cons |
|---|---|---|
| Centralized | Nursing office makes schedules for all units | Fair and consistent, uses float staff well; less responsive to individual needs |
| Decentralized | Each head nurse schedules the unit | Knows the staff and unit needs; may be inconsistent across units |
| Self-scheduling | Staff choose shifts within agreed rules; manager approves | Autonomy and satisfaction; needs clear rules and maturity |
| Cyclical (rotating pattern) | A set pattern repeats every few weeks | Predictable; less flexible |
Flexible staffing options: float pool, part-time and on-call staff, and cross-training. Keep a core of permanent staff and add flexible staff for seasonal peaks.
Worked example 1 — daily nursing hours and on-duty staff. A 30-patient ward needs an average of 180 minutes of direct care and 60 minutes of indirect care per patient per day, with 25% added for unavoidable personal time and variation.
Worked example 2 — patient classification. A 30-bed ward classifies today's clients (illustrative standard hours; each hospital sets its own): 10 minimal care × 1.5 h = 15 h; 12 moderate care × 3 h = 36 h; 6 intensive care × 4.5 h = 27 h; 2 highly intensive × 6 h = 12 h.
Worked example 3 — annual staffing formula. Required staff = [(A × B) ÷ C] × D, where A = average daily census, B = nursing care hours per patient per day, C = hours worked per shift, D = relief factor. For A = 40, B = 5 h, C = 8 h, D = 1.6: (40 × 5) ÷ 8 = 25 nurse-shifts per day; 25 × 1.6 = 40 staff.
Worked example 4 — relief by working days. A unit needs 15 nurse-shifts every day of the year: 15 × 365 = 5,475 shift-days. If each nurse works 220 days a year after rest days, holidays, and leave: 5,475 ÷ 220 = 24.9 → 25 nurses (implied relief factor 365 ÷ 220 ≈ 1.66; the factor depends on each hospital's days off, holidays, and leave policy).
Worked example 5 — ratio check. A 36-patient general ward whose hospital staffing policy (used here only for the calculation) is 1 nurse to 12 patients per shift needs 36 ÷ 12 = 3 nurses per shift, or 9 nurse-shifts per day; with a relief factor of 1.6: 9 × 1.6 = 14.4 → 15 nurses.
Making the daily assignment: review census and acuity, match nurse competence to client complexity (do not give the sickest clients to an unoriented nurse), keep a balanced skill mix of experienced and new nurses, assign nursing attendants only to tasks within their role, and name who covers breaks.
Case 1 — Ratio vs. acuity. Two 30-bed wards have the same nurse-to-bed ratio, but one has many ventilated and post-operative clients. Problem: the ratio method ignores acuity. Correct action: use patient classification to justify more staff for the higher-acuity ward.
Case 2 — Unsafe assignment. A nurse is told to cover 25 clients alone on night shift, including two unstable clients. Correct action: tell the supervisor immediately, request help (float, redistribution), document the notification, and give priority care to the unstable clients. Why: nurses must escalate unsafe staffing but may not abandon clients.
Case 3 — Shift allocation. A head nurse sets equal numbers on day, evening, and night shifts. Better: allocate by workload — more on the day shift when procedures, admissions, and discharges peak.
Case 4 — Seasonal clinic. An outpatient department has large seasonal swings. Best arrangement: a permanent core team plus part-time or on-call staff for peak periods.
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