Improving Effective Coverage in Health

Page 97

QUALITY OF CARE: A FRAMEWORK FOR MEASUREMENT

Box 3.2 In Focus: Measuring quality of care and provider effort in antenatal and maternal care While standardized patients are often referred to as the “gold standard” in measuring quality of care, they are difficult to implement in studies of maternal care seeking, from both ethical and logistical standpoints. For example, an antenatal care (ANC) study would have to recruit and train pregnant women to receive care at the sampled facility. ANC can also involve invasive procedures and tests. Direct clinical observation may be similarly difficult and relatively expensive to implement, and health facilities in rural areas may schedule ANC services only one or two days of the week, complicating logistics. Further, observing labor and delivery, particularly in primary health care ­settings, can be unpredictable and yield small sample sizes. The method may in particular struggle to ­capture performance during birth complications, which are relatively rare. At the same time, in maternal care, where the physical examination and the provider’s conduct toward the patient are important aspects of quality, written vignettes or knowledge tests are relatively far removed from actual practice. For all these reasons, researchers have piloted the use of new technologies to simulate patient-provider interactions and assess provider effort, knowledge, and skill. In recent work in Burkina Faso, researchers developed video vignettes of patients presenting maternal or early childhood symptoms (Banuri et al. 2018). These vignettes were locally developed and featured a local actor, who described complications like p­ re-term labor or mastitis. A video can represent the patient’s socioeconomic status more realistically. In the Burkina Faso experiment, vignettes for nonpoor patients were one minute long, whereas vignettes that portrayed poorer patients were longer (100 seconds) and the actress dressed differently, used more “rambling” language, and appeared to be less ­educated. The authors find that the video vignettes ­captured a range of performance by the health workers, including lower performance on the longer vignettes. They conclude that video vignettes can capture health worker effort, including its interaction with the patient’s socioeconomic status.

Health worker performance during birth complications that endanger the well-being of the mother or newborn may be the most important dimension of quality in maternal care, but capturing it is difficult. For such rare complications, training with portable and cost-effective anatomical models, like MamaNatalie and NeoNatalie, has been shown to improve provider knowledge and skill (DeStephano et al. 2015; Al-beity et al. 2019). The impact evaluation of the Kyrgyz Republic performance-based financing (PBF) pilot (see box 6.1, in chapter 6) used these anatomical models to measure the management of postpartum hemorrhage and birth asphyxia. The evaluation found that performance on anatomical models was significantly and positively correlated with performance during direct clinical observation (Friedman and Kandpal 2021). The pilot also tied payments to these assessments of provider skill and found that PBF directly improved observed provider performance during labor and delivery as well as birth outcomes for mother and child, suggesting that anatomical models can be useful for both measurement and as a training tool to improve provider practice. Future research on quality of care in ANC will also have to address the question of nonindicated care. This is particularly important because PBF interventions can potentially increase the overprovision of incentivized preventive services (see ­chapter 7). There are many aspects of overtreatment that the data currently do not capture. The ANC checklists were designed to measure compliance with World Health Organization protocol rather than to record all actions, whether necessary or not, performed by the health care provider. Moreover, in many cases, nonindicated drugs or procedures can be identified only by matching the observed care with gestational age. At a minimum, maternal care PBF programs should track nonindicated care or overprescription in ANC for incentivized services— even if the service in question is preventive in nature, it may not be indicated for every individual case.

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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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