Improving Effective Coverage in Health by World Bank Publications

Improving Effective Coverage in Health

Table 4A.3 Correlates of the know-can-do gap Cameroon 95% CI

Mean

95% CI

Democratic Republic of Congo Mean

95% CI

Nigeria Mean

95% CI

Republic of Congo

Mean

95% CI

Facility type Hospital

0.75 (0.69-0.81)

Higher-level health center 0.83 (0.80-0.86) Health center Health post

37 0.52 (0.49-0.55)

46 0.65 (0.61-0.68) 113 0.77 (0.74-0.81)

—

0.54 (0.49-0.58)

—

49 0.46 (0.42-0.49) —

0.60 (0.55-0.65) 58

0.75 (0.73-0.77) 141 0.53 (0.51-0.56) 191 0.50 (0.49-0.52) 380 0.66 (0.65-0.68) 550 0.59 (0.53-0.65) 41 —

—

0.41 (0.39-0.44) 125

—

0.57 (0.51-0.64)

—

Ownership Public

0.76 (0.73-0.78) 139 0.49 (0.47-0.51) 324 0.52 (0.51-0.54) 463 0.67 (0.65-0.68) 624 0.60 (0.56-0.64) 74

Faith-based

0.79 (0.75-0.82)

54 0.50 (0.45-0.56)

25 0.67 (0.62-0.72)

—

0.57 (0.48-0.67) 17

Other

0.69 (0.59-0.78)

10 0.38 (0.29-0.47)

16 0.55 (0.50-0.60)

—

0.55 (0.42-0.68) 11

Provider’s grade 0.53 (0.43-0.64)

Nurse/midwife

0.78 (0.76-0.81) 122 0.58 (0.53-0.62)

Community health worker Other

—

0.75 (0.72-0.78)

8 0.44

—

Doctor

—

1 0.65 (0.54-0.77)

10 0.75 (0.64-0.85)

9 0.79

—

62 0.54 (0.52-0.55) 484 0.68 (0.66-0.71) 128 0.60 (0.56-0.64) 80 —

—

73 0.47 (0.45-0.49) 302 0.53 (0.48-0.58)

—

0.67 (0.65-0.68) 406

78 0.55 (0.48-0.63)

—

30 0.55 (0.48-0.62) 21

Provider’s gender Female

0.78 (0.76-0.80) 152 0.52 (0.50-0.54) 237 0.56 (0.54-0.58) 362 0.68 (0.67-0.70) 485 0.60 (0.56-0.64) 87

Male

0.68 (0.63-0.73)

44 0.41 (0.39-0.44) 106 0.50 (0.48-0.52) 202 0.58 (0.54-0.62)

Below median

0.77 (0.75-0.80)

85 0.48 (0.45-0.50) 171 0.56 (0.54-0.58) 279 0.66 (0.64-0.68) 277 0.59 (0.55-0.64) 51

Above median

0.75 (0.72-0.78) 108 0.50 (0.47-0.53) 122 0.52 (0.49-0.54) 256 0.66 (0.64-0.69) 277 0.60 (0.54-0.65) 41

96 0.60 (0.49-0.71)

Provider’s experience

Education Secondary and above

0.77 (0.74-0.80)

96 0.51 (0.43-0.59)

20 0.55 (0.53-0.58) 256 0.67 (0.65-0.69) 248 0.60 (0.56-0.65) 62

Primary

0.78 (0.75-0.80)

86 0.53 (0.50-0.56) 118 0.51 (0.49-0.54) 153 0.63 (0.60-0.66) 139 0.57 (0.50-0.64) 24

None

0.67 (0.60-0.74)

19 0.47 (0.45-0.49) 185 0.54 (0.51-0.57) 145 0.70 (0.68-0.73) 190 0.59 (0.46-0.71)

(Continued)

A ntenatal C are C onsultations from F ive S ub - S aharan A frican C ountries

Mean

Central African Republic

Improving Effective Coverage in Health

Articles inside

References

Building a forward-looking research agenda

strategic purchasing

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

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

at the clinic

antenatal care

Conclusion

PBF as a health system reform

7.3 Efficiency of effective coverage provision

coverage tree

financial incentives

Introduction Provision of nonindicated treatment in the context of

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

Results from the meta-analysis

PBF, DFF, and baseline effort

PBF, DFF, and institutional deliveries

Discussion and conclusions

6.7 In Focus: PBF and equity

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

6.2 Description of the PBF and DFF arms in Nigeria

6.1 Geographic coverage of studies included in the meta-analysis

interventions

6.1 Inclusion criteria for the systematic review and meta-analysis

preventive screening for noncommunicable diseases in Armenia

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

6.1 In Focus: Kyrgyz Republic PBF pilot

Introduction

Conclusions

know-can-do gap—in Cameroon and Nigeria

5.3 In Focus: Measurement of worker motivation and satisfaction

Results

PBF, quality of care, and idle capacity

paying for performance

six countries

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

Cameroon and Nigeria

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

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

Introduction

health: An illustration

References

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

Conclusions

4.2 In Focus: Does discrimination contribute to poor effort?

of care

countries

Why antenatal care?

Results

Introduction

Conclusions

Mali case study

and maternal care

Conclusions

3.1 Summarizing the three gaps

Theoretical framework for assessing quality of care

Introduction

effective coverage

coverage and quality

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

1 In Focus: Combining technological innovations to facilitate

medical conditions

References

Conclusions

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

Introduction