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D ay 3:R eal Exam ples, Criticisms,and W hatto R em em ber

Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

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Page 1: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Day 3: Real Examples,

Criticisms, and What to Remember

Page 2: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

References to East Africa in DCP2 6 Topics, in all 3 countries (HIV/AIDS, IMCI, malaria, road traffic injuries, water supply, trypanosomiasis) 9 other topics in Kenya 20 others in Tanzania 8 others in Uganda

Page 3: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b)

Can intervene at any or all of three stages

Can intervene on any or all of three factors

Look for simple, self-enforcing interventions, if system capacity limited (speed bumps vs. more police trained and deployed against speeding)

Page 4: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

The Haddon Matrix as Applied to Road Traffic Injuries Factors

Phase Nature of intervention Human

Vehicles and equipment Environment

Precrash Crash prevention Information Attitudes Impairment Police enforcement

Roadworthiness Lighting Braking Handling Speed management

Road design Road layout Speed limits Pedestrian facilities

Crash Injury prevention during crash

Use of restraints Impairment

Occupant restraints Other safety devices Crash-protective design

Forgiving roadside (for example, crash barriers)

Postcrash Life sustaining First-aid skill Access to medical personnel

Ease of access Fire risk

Rescue facilities Congestion

Page 5: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Annualized Costs and DALYs averted for Building Speed Bumps for the Top 10 % of the Most Lethal Junctions in a City of 1 Million, by Region

Present value of annual DALYs

averted Cost per DALY

averted (2001 US$)

Region

Cost for 1 yeara

(2001 US$)

Discounted at 3 % per year

Discounted at 6 % per year

Discounted at 3 %per year

Discounted at 6 % per year

East Asia and the Pacific 725 167 105 4.34 6.89 Europe and Central Asia 708 158 99 4.48 7.11 Latin American and the Caribbean 299 147 92 2.04 3.23 Middle East and North Africa 1,070 238 150 4.49 7.12 South Asia 324 168 106 1.93 3.06 Sub-Saharan Africa 498 220 151 2.26 3.30 .

Page 6: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

A different example: estimating Burden of Disease and Cost-Effectiveness of Interventions when the disease or condition was not included in the global WHO estimate

How bad is sickle-cell disease ?—DALY loss per person affected, per year, per lifetimte ? What can be done about it, if an affected birth is not prevented ? How cost-effectively can it be treated ?

Page 7: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Burden of Sickle Cell Disease by Age Group, Assuming 1,000 Births per Year and Survival to Various Ages, Jamaica, Starting in 1973

Age group (years)

Category 0 4 5 9 10 14 15 19 20 24 25 29 30 34 35 39 40 44 45 49 Total or average

Survivors 876 834 807 777 727 680 627 564 491 440 682.3

Deaths 124 42 27 30 50 47 53 63 73 51 560

Death rate (%/year) 2.61 0.98 0.66 0.75 1.32 1.33 1.61 2.10 2.73 2.17 1.63

DALYs lost/death 28.90 28.59 27.77 26.84 25.82 24.69 23.43 22.00 20.39 18.58 24.70

Total DALY losses from deaths 3,584 1,201 750 805 1,291 1,161 1,242 1,386 1,488 948 13,856

DALYs lost from background (chronic) anemia

188 171 164 158 150 141 130 119 106 93 1,420

Total DALYs lost from deaths and chronic anemia

3,772 1,372 914 963 1,441 1,302 1,372 1,505 1,594 1,041 15,276

Pain crises/year 242.7 381.0 383.8 584.4 866.7 600.5 523.6 473.4 309.6 182.2 4,548

Other acute clinical events 77.5 22.2 182.2 281.9

Other chronic clinical events 49.8 14.8 12.8 10.9 88.3

Page 8: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Cost-Effectiveness of Penicillin Prophylaxis for Sickle Cell Disease Detected by Newborn Screening, Jamaica

Category Monthly injection Daily oral dose Total/1,000 children

Monthly cost of penicillin (J$) 22 250 26,560

Nurse's time, 10 minutes/month (J$) 90 n.a. 88,200

Clinician's time, 20 minutes 4 6 times/year (J$) 152.67 229.00 152.67 229.00 152,670 229,000

Total year 1, 8 treatments (J$) 2,117 2,728 3,221 3,832 2,140,000 2,750,000

Total, each of years 2 4, 12 treatments (J$) 3,176 4,092 4,832 5,748 3,210,000 4,130,000

Discounted total (discount rate of 3 percent), first 4 years 11,101 14,303 16,889 20,091 11,220,000 14,420,000

Equivalent in U.S. dollars

US$1 = J$49.8 223 287 339 407 220,000 290,000

US$1 = J$59.8 186 239 282 336 190,000 240,000

Number of deaths averted by prophylaxis 0.024/child 0.024/child 24 deaths

Costs per death averted (US$) 7,750 11,958 11,750 16,958 7,830 12,058

Costs per DALY gained (US$) 267 412 405 585 270 416

Page 9: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Is CEA worth doing? Criticisms (and Answers to them)—

(1) Conclusions are obvious, already recommended (save newborns, immunize children, improve obstetric care, distribute bednets, kill mosquitoes, treat STDs, use DOTs against tuberculosis, etc.)

Best practice and are cost often unknown; CEA helps with scaling up, choices among interventions (HIV, malaria, injuries), coping with new threats (CVD, diabetes)

Page 10: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Is CEA worth doing? Criticisms (and Answers to them)—

(2) Countries are already trying most of

these interventions, but facing financial constraints

Often at too small scale; very often with poor quality, organization, results; CEA can show quality improvements, cost-savings vs. status quo or (nearly) cost-free gains in outcomes; money is not always the problem; a little extra rationality can’t hurt, even if moves only to 2nd- or 3rd-best solution

Page 11: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Is CEA worth doing? Criticisms (and Answers to them)—

(3) Too much of “would be good if--” advice

that country’s health systems are too dysfunctional to follow; the ideal is the enemy of the not-so-bad

Use CEA to set standards for cost and outcome, or find better ones; emphasize systemic interventions, not only medical ones; find out why systems are so dysfunctional; combine CE advice with own knowledge and views about equity, poverty, needs

Page 12: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Is CEA worth doing? Criticisms (and Answers to them)—

(4) Far too little data, too much guesswork for results to be persuasive, conclusive

Ignore small differences in CERs, look at orders-of-magnitude; supply local data to fill holes or improve on imputed values; use concept of CE even when numbers have errors or wide confidence intervals; value is conceptual as well as quantitative, especially where there is little tradition of any economic analysis

Page 13: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Uses of cost-effectiveness analysis

Obvious use for comparing different interventions for the same outcome (just equivalent to cost-minimizing)

Especially useful for different outcomes of the same kind (deaths, life years, DALYs)

Cannot compare outcomes of different kinds (health vs. education vs. roads)

Page 14: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

What CEA does and doesn’t tell

Does tell whether an intervention is worth undertaking (relatively, not absolutely)—does it provide value for money--but

Does not say who should undertake it (government, NGOs, private providers)

Does not say how to pay for it (patient fees, taxes, insurers, donors, charities, etc.)

Page 15: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

CEA is not a general solution to development problems; it allows choices only in one sector, and it does not maximize overall welfare

Amen: but a portable, accurate, reliable, inter-person comparable utilometer is not invented yet; all choices among goods, people, sectors, intervals, generations, values are difficult; CEA and DCPP results in general are a partial but real help that can be crucial to development

Page 16: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Crucial things to remember about CEA

• Estimates of cost and effect assume a particular set of inputs in appropriate proportions; if these are not supplied and used, the cost will be higher or the effect less, or both (e.g., an operating theater without a surgeon, clinics without drugs)

• Cost-effectiveness ratios (CERs) show what is possible, not guaranteed. (Take DCPP estimates as a goal or norm for actual results, not as the answer)

Page 17: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

What other considerations matter?

At least eight other criteria may be considered to affect priority:Vertical equity, Horizontal equity, Poverty, Catastrophic cost, Public goods, Externalities, Rule of Rescue, and Public demands

Any of these may be inconsistent with cost-effectiveness; need to judge the balance

Page 18: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Crucial things to remember about CEA

• Once “effects” are defined, distributional assumptions are built in: e.g., all deaths or all life-years are treated as equal; distant years are worth less than current ones; 10 years for one person = one year each for 10 people

• Cost-effectiveness is an efficiency measure; it may be in conflict with either horizontal or vertical equity, or both

Page 19: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Cost-Effectiveness vs. Horizontal Equity Intervention Effectiveness Marginal Cost per DALY

Intervention 1 Intervention 2

Number of People Affected by an Intervention

Cost Comparison

Page 20: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Cost-Effectiveness vs. Vertical Equity

Disease 1

2

3

4

Intervention Cost

Disease SeverityIntervention Effectiveness

Page 21: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

1. Ensure that focused disease-specific efforts (such as vertical programs) contribute to system strengthening, not detract from it

2. Reforms affecting organizational structures and human resource management are more likely to be successful if they are incremental and gradual and adjusted as needed

3. One should keep the health of the system in mind whenever major new programs are introduced

DCP2 also offers suggestions about health

systems and their relation to interventions

Page 22: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

More general systemic messages

• Different interventions compete for the use of inputs; assure that inputs are actually made available for each intervention as needed

• Monitor input uses and intervention outcomes; see whether potential cost-effectiveness is realized

Page 23: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

Money will always matter, but—

fortunately—

A country, a population, or an individual need not be rich to be healthy, if priorities are well chosen and implemented. The history of progress in health is a history of making money ever less important compared to knowledge and its wise use

Page 24: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

For more information, visit www.dcp2.org

All the DCPP publications can be downloaded for free;

interpretation and advice are available from the editors and

authors

Page 25: Calculating a real example: reducing vehicular crashes and their health consequences (analyzed in Kenya, Tanzania and Uganda: DCP2 p. 749b) Can intervene

End of Day 3 and of the CEA part

of the course

Thank you