Global Health Systems & National Policies

Chapter 10
Health Workforce, Medicines and System Resources

Post Graduate Program in Health Care Management
Global Health Systems & National Policies   •   Post Graduate

Health Workforce, Medicines and System Resources

Introduction and context

Health systems convert financial, institutional and social resources into health services. Their performance depends not only on how much is spent, but also on whether competent personnel, effective medicines, reliable infrastructure and appropriate technologies are available at the place and time of need. These resources are interdependent: medicines cannot improve outcomes without trained prescribers and dispensers; digital systems are ineffective without connectivity, governance and user capability; and additional staff cannot deliver quality care if facilities, equipment and supplies are inadequate.

For health-care managers, resource stewardship therefore involves more than purchasing inputs. It requires planning future demand, defining competencies, allocating staff equitably, managing migration and retention, assuring medicine quality, designing resilient supply chains, maintaining infrastructure and evaluating technology. These decisions are shaped by national policy, regulation, labour markets, fiscal constraints, population ageing, epidemiological transition, emergencies and global interdependence.

This chapter adopts a systems perspective. It treats workforce, medicines and physical and technological resources as components of a managed capability rather than separate budget lines.

Learning objectives

By the end of this chapter, the learner should be able to:

  1. Explain the relationship between workforce capacity, competencies, medicines, infrastructure and health-system performance.
  2. Forecast workforce requirements and evaluate staffing productivity, distribution and retention.
  3. Analyse international migration and formulate ethical workforce policies.
  4. Design essential-medicine selection, procurement, inventory and quality-assurance processes.
  5. Assess infrastructure, equipment and digital technologies using life-cycle and value-based principles.
  6. Apply governance, equity, resilience and accountability criteria to resource decisions.
  7. Use indicators and a practical case framework to develop an integrated resource plan.

1. A systems model of health-system resources

Health-system resources can be grouped into four broad categories:

Resource domainExamplesMain managerial question
Human resourcesClinicians, managers, pharmacists, community health workers, support staffAre the right people available, competent, motivated and equitably distributed?
Medical productsMedicines, vaccines, diagnostics, consumables and blood productsAre safe, effective and affordable products continuously available?
Physical resourcesFacilities, utilities, transport, equipment and waste systemsCan care be delivered safely and reliably?
Information and technologyHealth information systems, telehealth, decision support and AIDoes technology improve decisions and outcomes without creating unacceptable risks?

A resource is productive only within an enabling system. For example, a hospital may possess an advanced imaging device but obtain little value if trained operators, maintenance contracts, electricity, referral protocols and financing are absent. This illustrates the distinction between stock and functional capacity. Stock is the quantity of an input; functional capacity is the usable service produced by that input.

A useful management chain is:

Need → planning → acquisition → deployment → use → monitoring → learning and adjustment.

Failures often occur at interfaces. Workforce planners may forecast doctors without considering medicines; procurement officers may buy commodities without considering storage capacity; information-technology teams may deploy software without redesigning clinical workflows. Integrated planning reduces these coordination failures.

2. Health workforce planning

2.1 From headcount to capability

Workforce planning is the systematic alignment of the number, mix, skills, location and working conditions of personnel with population health needs. A simple headcount is insufficient because two facilities with the same number of employees may have very different capability. Relevant dimensions include:

  • Availability: whether workers are present and able to work.
  • Accessibility: whether they are located where populations need them.
  • Acceptability: whether services are culturally safe, respectful and trusted.
  • Quality: whether workers have appropriate education, competence and supervision.
  • Productivity: the amount and quality of useful service produced.
  • Resilience: the ability to sustain essential functions during shocks.

Workforce planning should begin with a service-delivery model. A primary-care strategy based on prevention, continuity and community outreach requires a different skill mix from a hospital-centred strategy based on specialist procedures.

2.2 Workforce demand and supply

Demand may be estimated from population need, service-utilisation projections, workload or required service standards. A workload-based approach links staffing to activities rather than to historical posts. A basic staffing estimate is:

Required staff = Forecast workload ÷ Productive working time per staff member

Here, workload is expressed in standard work units, such as consultations or procedures adjusted for complexity. Productive working time is the annual time available for the relevant service after accounting for leave, training, meetings and other duties. The formula assumes that work units and available time are measured consistently and that the proposed staffing model reflects safe quality standards. It does not by itself determine the correct skill mix or account for peaks in demand.

For example, suppose a clinic forecasts 24,000 consultations annually. If one full-time equivalent (FTE) clinician can safely provide 1,600 consultation-equivalents per year, the initial requirement is:

24,000 ÷ 1,600 = 15 FTE clinicians

If the clinic currently has 12 FTE clinicians, the apparent gap is 3 FTE. Managers must then test whether the forecast includes seasonal variation, whether some consultations can be delivered by nurses or community health workers, and whether additional staff would be affordable and recruitable.

A population-ratio method is easier to use but less sensitive to workload. The density of a cadre can be expressed as:

Workforce density = Number of health workers ÷ Population × 10,000

The numerator and denominator must refer to the same geographic area and period, and workers should be counted consistently, preferably as FTEs when part-time employment is common. Density is useful for comparison but can conceal urban concentration, skill differences and unmet need.

2.3 Skill mix, competency and task sharing

Skill mix concerns the combination of professions, grades and competencies in a team. Task sharing redistributes selected activities among cadres while preserving accountability, supervision and referral pathways. It is not simply substitution of a less-qualified worker for a more-qualified one. Safe task sharing requires:

  1. A defined task and evidence that it can be performed safely.
  2. Competency-based training and assessment.
  3. Legal authority and professional accountability.
  4. Protocols, supervision and escalation mechanisms.
  5. Access to medicines, diagnostics and referral services.
  6. Monitoring of outcomes, workload and staff welfare.

Competency frameworks should include technical knowledge, communication, ethics, teamwork, public-health capability, digital literacy and emergency preparedness. Continuing professional development should be linked to identified service risks rather than treated as an isolated annual requirement.

2.4 Distribution, migration and retention

Health-worker maldistribution is a governance problem as well as a labour-market problem. Rural and remote locations may face professional isolation, limited housing and schooling, weak transport, inadequate equipment, fewer career opportunities and difficult working conditions. Effective policy packages may combine rural training pipelines, bonded scholarships, housing, hardship allowances, career progression, team-based practice, tele-supervision and improved facility infrastructure. Compulsory deployment without support may increase turnover or reduce motivation.

International migration can benefit individuals and destination systems, but large-scale recruitment from countries with workforce shortages may weaken source-country capacity. Ethical policy should be informed by the WHO Global Code of Practice on the International Recruitment of Health Personnel, bilateral agreements, transparent recruitment and compensation for training investments where appropriate. Migration should not be framed only as a loss: diaspora networks, return migration, knowledge transfer and remittances may also contribute to health-system development.

Retention is influenced by pay, workload, autonomy, recognition, safety, management quality, career development and fairness. A useful analytical distinction is between push factors that drive departure and pull factors that attract workers elsewhere. Exit interviews, vacancy duration, absenteeism, turnover and staff surveys can identify local causes rather than assuming that salary is the only determinant.

A simple annual turnover rate is:

Turnover rate = Number of staff leaving during the period ÷ Average number of staff during the period × 100%

The measure should specify whether it includes voluntary, involuntary, retirement or internal transfers. For instance, 18 departures from an average workforce of 300 produce a turnover rate of 6%. Comparisons are meaningful only when definitions and periods are consistent.

2.5 Workforce performance and well-being

Performance management should combine service, quality and people indicators. Excessive emphasis on volume can encourage unsafe shortcuts, inappropriate care and burnout. Balanced indicators include waiting time, continuity, error reporting, patient experience, adherence to clinical standards, absenteeism and psychological well-being. Managers should distinguish individual performance problems from system constraints such as staff shortages, medicine stock-outs or unsafe facilities.

Occupational safety includes infection prevention, violence prevention, safe staffing, vaccination, mental-health support and protection from discrimination. During emergencies, surge staffing plans should identify reserve personnel, cross-training, accommodation, transport, personal protective equipment and rest arrangements.

3. Essential medicines and medical products

3.1 Selection and rational use

An essential-medicines system aims to make priority medicines continuously available, affordable, quality assured and appropriately used. Selection should be based on public-health relevance, evidence of efficacy and safety, comparative cost-effectiveness, disease burden, local epidemiology and health-system feasibility. National essential medicines lists, standard treatment guidelines and formularies should be aligned; otherwise procurement and prescribing signals conflict.

Rational use means that patients receive medicines appropriate to their clinical needs, in doses that meet individual requirements, for an adequate period and at the lowest cost to patients and the community. Antimicrobial stewardship is a central example: inappropriate prescribing increases resistance, adverse effects and expenditure.

3.2 Procurement and supplier management

Procurement is a strategic process, not merely a transaction. Key decisions include centralized versus decentralized purchasing, framework contracts, generic competition, quality requirements, local production, pooled procurement and emergency purchasing. Selection criteria should consider total cost, quality, delivery reliability, regulatory compliance, supplier resilience and ethical conduct.

A competitive low price may be false economy if products fail quality testing or arrive late. Contracts should define specifications, lead times, penalties, inspection rights, recall procedures and continuity obligations. Segregation of duties, conflict-of-interest declarations, audit trails and transparent evaluation protect procurement integrity.

3.3 Inventory and supply-chain control

The supply chain typically includes quantification, budgeting, procurement, receipt, quality inspection, storage, distribution, dispensing, consumption monitoring and disposal. Quantification should use reliable consumption data where available, adjusted for seasonality, programme expansion, stock-outs and changes in treatment protocols.

A basic reorder point is:

Reorder point = Expected demand during lead time + Safety stock

Expected demand during lead time is average demand per time unit multiplied by lead time. Safety stock protects against demand or delivery uncertainty. The formula assumes that demand and lead time are represented in compatible units and that replenishment is triggered when inventory position reaches the reorder point. Inventory position normally includes on-hand stock plus confirmed orders minus backorders.

For example, average consumption is 40 packs per week, lead time is 3 weeks and safety stock is 50 packs. The reorder point is:

(40 × 3) + 50 = 170 packs

If usable inventory falls to 170 packs, an order should be initiated, subject to the procurement cycle and budget.

The stock-out rate can be measured as the proportion of tracer medicines unavailable during observation points, while order fill rate measures the proportion of requested quantities supplied. Managers should also monitor expiry, wastage, inventory accuracy, supplier lead time and cold-chain excursions.

First-expiry, first-out (FEFO) is preferred to first-in, first-out for products with different expiry dates. Storage requires temperature and humidity control, segregation of quarantined or expired products, security, pest control, clean shelving and documented stock reconciliation. Cold-chain systems require validated equipment, temperature monitoring, backup power and contingency procedures.

3.4 Quality assurance and pharmacovigilance

Quality assurance extends across the product life cycle. Regulatory authorities assess registration, manufacturing standards, licensing, inspection, laboratory testing and post-market surveillance. Health facilities must detect counterfeit, falsified, damaged or contaminated products and report adverse drug reactions. Pharmacovigilance data support regulatory action and safer prescribing.

Medicine availability should never be achieved by relaxing quality requirements. Emergency procurement may use expedited procedures, but minimum standards, traceability and post-delivery verification remain necessary.

4. Infrastructure, equipment and technology

4.1 Infrastructure as a clinical resource

Infrastructure includes buildings, water, sanitation, electricity, ventilation, waste management, transport and communications. Safe infrastructure is foundational to infection prevention, privacy, accessibility and continuity of care. Planning should consider climate risk, disability access, gender and cultural safety, energy reliability and future expansion.

Equipment planning should use a life-cycle perspective. Acquisition cost is only one component of total cost of ownership, which also includes installation, training, consumables, calibration, maintenance, software licences, energy, decommissioning and disposal. A low-cost device that cannot be repaired locally may be more expensive over its useful life than a moderately higher-priced device with reliable support.

A practical equipment register records asset identity, location, condition, warranty, maintenance history, responsible unit, calibration status and replacement horizon. Preventive maintenance generally reduces failure risk and service interruption, but maintenance intensity should reflect risk, manufacturer guidance and local evidence.

4.2 Digital health and artificial intelligence

Digital health can improve continuity, surveillance, referrals, inventory visibility and decision support. However, digitisation can also increase workload, exclude people with limited connectivity, expose personal data and create dependence on vendors. Before implementation, managers should assess interoperability, usability, data governance, cybersecurity, accessibility, workforce readiness and recurrent costs.

AI tools require additional scrutiny. A model may perform well in its development setting but poorly in another because of different populations, disease prevalence, data quality or clinical workflows. Governance should require defined purpose, validation, human oversight, explainability appropriate to risk, monitoring for bias, incident reporting and the ability to suspend unsafe use. AI should support, not obscure, professional accountability.

5. Integrated resource governance

Resource allocation involves competing values. Efficiency seeks the greatest health gain from available resources; equity gives attention to avoidable and unfair differences; resilience values capacity to absorb shocks; and financial sustainability protects future service continuity. These aims may conflict. A highly specialized urban service may be efficient for complex cases but inequitable if rural populations cannot reach it.

A transparent allocation framework can ask:

  1. What population need and health-system objective are being addressed?
  2. Which intervention or resource configuration has credible evidence of benefit?
  3. Who gains and who may be disadvantaged?
  4. What are the recurrent costs and opportunity costs?
  5. Are implementation capacity and supply-chain requirements available?
  6. What safeguards, indicators and review points will apply?

Governance requires clear authority, participation, disclosure of assumptions, auditability and mechanisms for appeal. Community representatives and health workers can identify practical consequences that are invisible in central plans. Procurement and workforce decisions should be protected from political patronage, discrimination and conflicts of interest.

6. Monitoring and evaluation

A resource dashboard should connect inputs to outcomes rather than report isolated counts.

DomainIllustrative indicators
WorkforceVacancy rate, FTE density, rural distribution, turnover, competency assessment, absenteeism
MedicinesStock-out days, order fill rate, expiry losses, inventory accuracy, adverse-event reports
InfrastructureFacility functionality, water and power reliability, equipment uptime, maintenance completion
TechnologySystem availability, user adoption, data completeness, security incidents, equity of access
OutcomesWaiting time, treatment completion, avoidable admissions, patient experience and safety events

Indicators require denominators, definitions, data sources, frequency and responsible owners. Dashboards should trigger action rather than become reporting rituals. Qualitative information, such as staff narratives and patient experiences, helps interpret numerical trends.

Applied case: an illustrative district resource plan

Background

The fictional Kisiwa District serves 420,000 people through 18 primary-care facilities and one district hospital. Over two years, outpatient attendance increased by 15%. Six facilities reported repeated stock-outs of antihypertensive medicines, rural clinician turnover reached 18% annually, and the hospital’s only ultrasound machine was functional only 60% of scheduled hours.

Problem analysis

A review found that workforce posts were based on historical establishment rather than workload. The district had 24 FTE clinicians against a projected requirement of 27 FTE using workload standards. However, three urban facilities had unused appointment capacity while rural facilities carried high caseloads. Procurement used annual orders based on previous budgets, and stock records were incomplete. The ultrasound had no preventive-maintenance contract and operators had not received refresher training.

Approach

The district developed an integrated plan:

  • Reallocated two clinician posts to rural facilities and introduced team-based task sharing for protocol-defined hypertension follow-up.
  • Created a rural retention package involving accommodation support, monthly clinical supervision and a transparent progression pathway.
  • Reconciled stock records, introduced monthly consumption reporting and set reorder points for tracer medicines.
  • Established FEFO storage and quarterly expiry reviews.
  • Contracted preventive maintenance for the ultrasound and trained two operators.
  • Added indicators for rural vacancy, stock-out days, equipment uptime, hypertension follow-up and staff well-being.
  • Formed a quarterly resource committee including facility managers, pharmacy staff, clinicians, finance officers and community representatives.

Outcome and learning

After nine months, the district reported fewer stock-out days, improved ultrasound availability and reduced rural vacancy duration. The improvement was not attributed to one intervention alone. It resulted from matching staffing with workload, strengthening information, maintaining equipment and creating governance routines. The case also showed that task sharing without medicines, supervision and referral capacity would have been unsafe, and that additional posts without retention measures might have produced little lasting benefit.

Challenges and limitations

Resource planning is constrained by uncertain data, informal care, changing disease patterns, fiscal volatility and political pressures. Forecasts are scenarios, not predictions. Historical utilisation may reflect barriers to access rather than true need. Workforce density can hide maldistribution; stock-out measures can be distorted by poor recording; and technology evaluations may ignore long-term maintenance.

Managers should therefore use sensitivity analysis, pilot interventions, independent evaluation and periodic revision. They should avoid overly precise targets unsupported by data. Equity impact assessment is essential because efficiency-oriented reforms can unintentionally worsen access for remote, poor, disabled or digitally excluded populations.

Contemporary strategic directions and best practices

Leading systems increasingly emphasize primary-care teams, community-based services, competency-based education, regional supply-chain visibility, pooled procurement, local maintenance capability, climate-resilient infrastructure and interoperable digital platforms. Good practice includes:

  • Plan workforce and commodities together around a defined service model.
  • Use FTEs, workload and population need rather than headcount alone.
  • Combine recruitment with retention, supervision and safe working conditions.
  • Maintain an updated essential medicines list linked to treatment guidelines.
  • Use consumption data, safety stock and FEFO while protecting product quality.
  • Evaluate infrastructure and technology over the entire life cycle.
  • Build redundancy for critical supplies, utilities, data and skills.
  • Make allocation criteria explicit and monitor distributional effects.
  • Treat staff and communities as partners in implementation.
  • Establish feedback loops so indicators lead to corrective action.

Chapter Summary

Health-system capability depends on the interaction of people, medicines, infrastructure and technology. Workforce planning must address availability, distribution, competency, skill mix, productivity, migration, retention and well-being. Workload-based staffing estimates can support decisions, but they must be interpreted alongside safety, affordability, equity and local feasibility.

Essential-medicines management links selection, guidelines, procurement, quality assurance, inventory control, storage, distribution and rational use. Reorder points and safety stock help manage uncertainty, while FEFO, pharmacovigilance and regulatory oversight protect patients. Infrastructure and equipment should be planned through life-cycle costing and maintenance, not acquisition price alone. Digital health and AI offer significant benefits but require interoperability, privacy, cybersecurity, validation, human oversight and equity safeguards.

The central managerial lesson is integration. A resource decision is successful when it produces reliable, equitable and safe service capacity. Transparent governance, meaningful indicators, participation and continuous learning are necessary to sustain that capacity under routine conditions and during crises.

Key Terms

Health workforce: People whose primary role is to promote, protect or restore health.

FTE: Full-time equivalent, a standardized measure of employed working time.

Skill mix: The combination of professions, grades and competencies in a service team.

Task sharing: Allocation of selected tasks across cadres with appropriate training, supervision and accountability.

Workforce density: Number of health workers relative to a defined population.

Retention: Ability of an organization or system to keep its workers.

Health-worker migration: Movement of health personnel between geographic or national labour markets.

Essential medicines: Medicines selected to meet priority population health needs.

Rational medicine use: Use of appropriate medicines, doses, duration and cost for clinical needs.

Quantification: Estimation of product quantities and financing requirements.

Lead time: Time between placing an order and receiving usable stock.

Safety stock: Additional inventory held against demand or supply uncertainty.

Reorder point: Inventory level at which replenishment should be initiated.

FEFO: First-expiry, first-out inventory practice.

Pharmacovigilance: Detection, assessment and prevention of adverse effects or other medicine-related problems.

Total cost of ownership: All acquisition, operating, maintenance and disposal costs over an asset’s life.

Interoperability: Ability of information systems to exchange and use data appropriately.

Resilience: Capacity to prepare for, absorb and recover from shocks.

Equity: Fairness in the distribution of resources, opportunities and health outcomes.

Review Questions

Short Answer Questions

  1. Why is functional capacity more informative than headcount alone?
  2. Define skill mix and explain one condition for safe task sharing.
  3. What is the purpose of safety stock in a medicine supply chain?
  4. State two ethical concerns associated with international health-worker migration.
  5. Why should equipment be assessed using total cost of ownership?

Long Answer Questions

  1. Explain a workload-based approach to health workforce planning, including its assumptions and limitations.
  2. Discuss the policy instruments available to improve rural health-worker recruitment and retention.
  3. Describe the essential-medicines management cycle from selection to post-market surveillance.
  4. Critically assess the benefits and risks of digital health and AI in resource management.
  5. Develop a governance framework for equitable and resilient allocation of health-system resources.

Analytical / Application Questions

  1. A clinic expects 32,000 consultation-equivalents per year. Each FTE clinician can safely provide 1,600 consultation-equivalents annually. Calculate the initial clinician requirement and identify three issues that must be examined before recruiting.
  2. A medicine has average weekly consumption of 55 packs, a four-week lead time and safety stock of 80 packs. Calculate the reorder point and explain how stock-outs or seasonal demand could alter the decision.
  3. A district has high medicine availability but low treatment completion and high staff turnover. Using the systems perspective, analyse at least four possible interacting causes and propose a monitoring plan.

Multiple Choice Questions with Answers

Question 1

Which statement best describes functional health-system capacity?

A. The number of authorized posts in an establishment

B. The quantity of inputs regardless of their condition

C. The usable service capability produced by resources within an enabling system

D. The annual expenditure on health personnel

Correct Answer: C. The usable service capability produced by resources within an enabling system

Question 2

A clinic forecasts 24,000 consultation-equivalents and one FTE clinician provides 1,600 annually. What is the initial staffing requirement?

A. 12 FTE

B. 15 FTE

C. 18 FTE

D. 20 FTE

Correct Answer: B. 15 FTE

Question 3

Which condition is essential for safe task sharing?

A. Removal of referral pathways

B. Competency assessment and appropriate supervision

C. Replacing all professional staff

D. Using historical staffing numbers only

Correct Answer: B. Competency assessment and appropriate supervision

Question 4

A workforce has 18 departures and an average workforce of 300. What is the turnover rate?

A. 3%

B. 6%

C. 12%

D. 18%

Correct Answer: B. 6%

Question 5

Which practice is most appropriate for medicines with different expiry dates?

A. First-expiry, first-out

B. Highest-price, first-out

C. Last-in, first-out

D. Random issue to equalize stock

Correct Answer: A. First-expiry, first-out

Question 6

Average medicine consumption is 40 packs per week, lead time is 3 weeks and safety stock is 50 packs. What is the reorder point?

A. 90 packs

B. 120 packs

C. 150 packs

D. 170 packs

Correct Answer: D. 170 packs

Question 7

Which item is part of total cost of ownership for medical equipment?

A. Purchase price only

B. Installation, maintenance, training and disposal costs

C. The facility’s population size only

D. The number of procurement committee members

Correct Answer: B. Installation, maintenance, training and disposal costs

Question 8

What is a central ethical concern in international recruitment of health workers?

A. It always improves source-country capacity

B. It may weaken already understaffed source-country systems

C. It eliminates the need for workforce planning

D. It prevents all professional development

Correct Answer: B. It may weaken already understaffed source-country systems

Question 9

Which safeguard is particularly important when implementing an AI clinical decision-support tool?

A. Permanent use without monitoring

B. Human oversight and validation in the intended setting

C. Exclusion of clinicians from governance

D. Ignoring data quality because the algorithm is automated

Correct Answer: B. Human oversight and validation in the intended setting

Question 10

Which indicator most directly measures medicine availability over time?

A. Number of procurement officers

B. Stock-out days for tracer medicines

C. Number of hospital buildings

D. Percentage of staff with managerial titles

Correct Answer: B. Stock-out days for tracer medicines

Global Health Systems & National Policies
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