Improving Effective Coverage in Health

Page 286

IMPROVING EFFECTIVE COVERAGE IN HEALTH

Box 8.1 In Focus: Combining technological innovations to facilitate strategic purchasing Data are essential for strategic purchasing, especially data on the types and volumes of services provided. Evidence based on data should be an important factor for determining budget allocations to health providers. However, routine data collection in prevailing systems is not always guaranteed, and if the service providers benefit directly from the data they report, there is an incentive to manipulate the data or overestimate expenditures and not be transparent about the use of the budget allocations. To ensure integrity of data and reporting, third-party data verification is often required, which can be prohibitively expensive and adds to the complexity of data audit processes. This problem with routine data collection is inherent to performance-based financing. The following approach is explored to address this problem, drawing on a set of innovations in Côte d’Ivoire and Zimbabwe: • Every registered patient needs to be identified, registered, and recorded as they enter a health facility. • Electronic identification of all actors in the work process (patients and providers) can be enabled through fingerprint sensors and camera imaging technologies at low cost with minimal hardware investments. • A mobile phone number associated with the SIM card of the mobile phone used to collect and transmit the data is linked to the use case actor’s account to enable communication and verification of transactions between the digital identities of the service providers and patients and to link this with the identity of the device that is collecting the data. • Once a patient receives a service, the service provider enters information that describes the service provided digitally on a blockchain (for example, using a tablet ­connected to the web over the internet or

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• •

via text messaging an application interface to the blockchain). A message is automatically sent to the patient to inquire whether this service was indeed provided. The patient can respond “yes” or “no” using their mobile phone to confirm when, where, and what services have been provided. If the patient responds with “yes,” the service provision is recorded as completed and verified on the blockchain. If the patient responds with “no,” the lack of service provision is recorded, and an alert is triggered to the administrator to investigate and verify. The information on what services were provided in which health facilities is subsequently stored in the health management information system and given the verification process and decentralized ledger, there is confidence in the integrity of the data. Payment to the providers can be triggered through a smart contract. Payment to remote providers can be made through the use of mobile money.

Through such a process, a health management information system with integrity is created. This can then form the basis for facility budget allocations or facility payments against an output-informed formula. Data are stored on decentralized ledgers and are immutable, minimizing the risk of gaming. Verification may still be necessary but would be much less costly as the system can identify high-risk transactions. If desired, patient utilization data can be recorded in the process of verification, which strengthens the basis for future diagnoses and efficiency in the health sector. Access to the information can be controlled by the permissioning features of blockchain technology so that patient data protection issues can be maintained.


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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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