Improving Effective Coverage in Health

Page 258

IMPROVING EFFECTIVE COVERAGE IN HEALTH

Figure 7.4 Malaria incidence and treatment outcomes by type of test conducted at the clinic a. Share of patients with malaria and antimalarial purchases, by clinic test type 1.0 0.8 0.6 0.4 0.2 0 Not tested

RDT only Positive home test

Microscopy

Antimalarial purchased

b. Match between malaria test result and treatment, by clinic test type 1.0 0.8 0.6 0.4 0.2 0 Not tested Overall match

RDT only Negative test and no treatment

Microscopy Positive test and treated

Source: World Bank, using data from Lopez, Sautmann, and Schaner 2022a, 2022b. Note: Panel a shows the share of patients who tested positive for malaria at home and the share who received an antimalarial. Panel b shows the match between treatment for malaria and malaria home test result. From left to right, antimalarial purchases increase from under 50 percent to over 70 percent, but the share of patients who were correctly treated worsens from 60 to 40 percent, largely due to overtreatment. RDT = rapid detection test.

reduces “duplicate testing” with both RDT and microscopy and significantly improves both positive and negative match rates (Lopez, Sautmann, and Schaner 2022a; see also figure 3.1, in chapter 3). This evidence, along with the high mismatch rates under microscopy testing, suggests that doctors may be treating based on incorrectly interpreted blood smears. Of course, another explanation for nonindicated care may be that the facility simply does not have the required diagnostic tools and materials available. Table 7.1 shows that the clinics in the sample of the malaria case study were stocked out of some malaria test materials 31 percent of the time. Figure 7.4 shows that nearly 50 percent of patients without a malaria test nonetheless received an antimalarial, perhaps due to providers writing prescriptions when a test was unavailable. Knowledge gaps and capacity gaps may respond to PBF in the long run if facility directors respond to these incentives by training or hiring their staff more thoroughly and managing their supply chain better. These changes are likely to take time. 204


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References

2min
pages 288-291

Building a forward-looking research agenda

1min
page 287

strategic purchasing

2min
page 286

Message 2: Support the four facility financing tenets Message 3: Understand PBF incentives in a broader health

5min
pages 281-283

Message 1: Recognize that sustainability is about more than just money

3min
pages 279-280

at the clinic

10min
pages 258-262

antenatal care

5min
pages 263-265

Conclusion

2min
page 269

PBF as a health system reform

6min
pages 266-268

7.3 Efficiency of effective coverage provision

7min
pages 254-257

coverage tree

5min
pages 250-252

financial incentives

3min
pages 248-249

Introduction Provision of nonindicated treatment in the context of

1min
page 247

6A.2 PBF and DFF interventions, by country, in the five countries in the pooled analysis of PBF versus DFF (Cameroon, Nigeria, Rwanda, Zambia, and Zimbabwe): Comparison of alternative financing approaches

10min
pages 229-236

Results from the meta-analysis

2min
page 213

PBF, DFF, and baseline effort

4min
pages 210-211

PBF, DFF, and institutional deliveries

2min
page 208

Discussion and conclusions

7min
pages 217-220

6.7 In Focus: PBF and equity

2min
page 206

consultations in Cameroon and Nigeria B6.7.1 Patient socioeconomic status, PBF, DFF, and know-can-do gaps

1min
page 205

6.2 Description of the PBF and DFF arms in Nigeria

1min
page 203

6.1 Geographic coverage of studies included in the meta-analysis

1min
page 195

interventions

3min
pages 189-190

6.1 Inclusion criteria for the systematic review and meta-analysis

4min
pages 191-192

preventive screening for noncommunicable diseases in Armenia

2min
page 188

Systematic review and meta-analysis of demand- and supply-side financial incentives

1min
page 187

6.1 In Focus: Kyrgyz Republic PBF pilot

2min
page 186

Introduction

1min
page 185

Conclusions

1min
page 178

know-can-do gap—in Cameroon and Nigeria

1min
page 177

5.3 In Focus: Measurement of worker motivation and satisfaction

2min
page 170

Results

1min
page 171

PBF, quality of care, and idle capacity

1min
page 176

paying for performance

6min
pages 167-169

six countries

1min
page 166

performance-based financing: The case of Argentina and Plan Nacer and Programa Sumar

6min
pages 163-165

Cameroon and Nigeria

1min
page 162

PBF, health system performance, and health worker effort in theory

1min
page 155

Evidence of the impact of PBF on the quality and quantity of health service delivery in LMICs Impact of PBF on health worker motivation and satisfaction in

2min
page 161

Introduction

7min
pages 151-154

health: An illustration

8min
pages 156-160

References

7min
pages 146-150

4A.3 Correlates of the know-can-do gap

2min
pages 137-138

Conclusions

6min
pages 132-134

4.2 In Focus: Does discrimination contribute to poor effort?

2min
page 130

of care

2min
page 123

countries

3min
pages 127-128

Why antenatal care?

1min
page 113

Results

3min
pages 117-118

Introduction

1min
page 111

Conclusions

1min
page 103

Mali case study

6min
pages 98-100

and maternal care

3min
page 97

Conclusions

1min
page 86

3.1 Summarizing the three gaps

1min
page 94

Theoretical framework for assessing quality of care

6min
pages 91-93

Introduction

3min
pages 89-90

effective coverage

1min
page 85

coverage and quality

1min
page 71

Empirical applications Expanding the work on effective coverage by using data collected in

1min
page 73

1 In Focus: Combining technological innovations to facilitate

2min
page 62

medical conditions

1min
page 74

References

4min
pages 64-66

Conclusions

1min
page 63

2.2 Coverage, quality, effective coverage, and the care cascade

1min
page 69

Introduction

1min
page 67
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