| Literature DB >> 33882118 |
Daniela C Rodriguez1, Abigail H Neel1, Yodi Mahendradhata2, Wakgari Deressa3, Eme Owoaje4, Oluwaseun Akinyemi4, Malabika Sarker5,6, Eric Mafuta7, Shiv D Gupta8, Ahmad Shah Salehi9, Anika Jain1, Olakunle Alonge1.
Abstract
Vertical disease control programmes have enormous potential to benefit or weaken health systems, and it is critical to understand how programmes' design and implementation impact the health systems and communities in which they operate. We use the Develop-Distort Dilemma (DDD) framework to understand how the Global Polio Eradication Initiative (GPEI) distorted or developed local health systems. We include document review and 176 interviews with respondents at the global level and across seven focus countries (Afghanistan, Bangladesh, Democratic Republic of Congo, Ethiopia, India, Indonesia and Nigeria). We use DDD domains, contextual factors and transition planning to analyse interactions between the broader context, local health systems and the GPEI to identify changes. Our analysis confirms earlier research including improved health worker, laboratory and surveillance capacity, monitoring and accountability, and efforts to reach vulnerable populations, whereas distortions include shifting attention from routine health services and distorting local payment and incentives structures. New findings highlight how global-level governance structures evolved and affected national actors; issues of country ownership, including for data systems, where the polio programme is not indigenously financed; how expectations of success have affected implementation at programme and community level; and unresolved tensions around transition planning. The decoupling of polio eradication from routine immunization, in particular, plays an outsize role in these issues as it removed attention from system strengthening. In addition to drawing lessons from the GPEI experience for other efforts, we also reflect on the use of the DDD framework for assessing programmes and their system-level impacts. Future eradication efforts should be approached carefully, and new initiatives of any kind should leverage the existing health system while considering equity, inclusion and transition from the start.Entities:
Keywords: Polio; context; health systems; political economy
Year: 2021 PMID: 33882118 PMCID: PMC8173659 DOI: 10.1093/heapol/czab044
Source DB: PubMed Journal: Health Policy Plan ISSN: 0268-1080 Impact factor: 3.344
Demographic, health systems and polio eradication programme characteristics, by country
| Indicator | Afghanistan | Bangladesh | Democratic Republic of Congo | Ethiopia | India | Indonesia | Nigeria |
|---|---|---|---|---|---|---|---|
| Population, millions (2018) | 37.1 | 161.3 | 80.0 | 109.2 | 1003 | 267.6 | 195.8 |
| GNI per capita (2015) | 600 | 1220 | 460 | 600 | 1600 | 3430 | 2880 |
| Under-5 mortality rate per 1000 live births (2015) | 73.1 | 36.4 | 51.3 | 61.2 | 44.1 | 27.2 | 107.5 |
| Maternal mortality ratio per 100 000 live births (2015) | 396 | 176 | 442 | 353 | 174 | 126 | 814 |
| Fragility index (2015) | 107.9 | 91.8 | 109.7 | 97.5 | 79.3 | 75.0 | 102.5 |
| Health systems indicators | |||||||
| Current health expenditure as % of GDP (2015) | 10.3 | 3.5 | 7.81 | 4.73 (2013/14) | 4.69 | 3.35 | 3.56 |
| OOP payments as % of current health expenditure (2015) | 78.4 (2011) | 61 (2011) | 38 | 33 (2013/14) | 41 | 48.3 | 72.24 |
| Number of hospital beds per 10 000 population | 5 (2015) | 8 (2015) | 8 (2006) | 3 (2015) | 7 (2011) | 12 (2015) | 5 (2004) |
| Number of clinical health workers (doctors, nurses, midwives) per 10 000 population | 6.2 (2014) | 7.4 (2015) | 5.6 (2013) | 9.4 (2017) | 28.9 (2017) | 24.4 (2017) | 18.4 (2013) |
| Polio eradication programme | |||||||
| Polio country status | Endemic | Polio-free (2014) | Outbreak | At-risk | Polio-free (2014) | Polio-free (2014) | Endemic |
| Polio country status at time of publication (2020) | Endemic | Polio-free (2014) | Outbreak | Outbreak | Polio-free (2014) | At-risk | Outbreak |
| Oral poliovirus third dose (OPV3) coverage 2000–2018 (%) | 24–73 | 83–98 | 42–79 | 55–67 | 57–89 | 72–80 | 31–57 |
| Inactivated polio vaccine first dose (IPV1) coverage (2018) (%) | 66 | 75 | 79 | 52 | 75 | 66 | 57 |
| External support | Extensive; government only covers 5% of immunization programme | GPEI ending in 2019 | Substantial financing from external sources | Substantial financing from external sources, mainly GPEI which is ramping down. Resource mobilization includes engaging other donors to support programme | External support from Gavi, GPEI and others but most from government of India | Funded by government of Indonesia and Gavi support (2004–2017) | External support from WHO, UNICEF, Rotary, CDC and Gavi |
All data from country programme summaries and HiT tools unless otherwise noted.
Data from World Bank Data: https://data.worldbank.org/country.
Fragile States Index: https://fragilestatesindex.org/country-data/.
Data from WHO Global Health Observatory: http://apps.who.int/gho/data/node.main.
A number of polio status changes occurred between the initiation of data collection and publication. At the initiation of research, Ethiopia was classified as ‘at-risk’ but subsequently confirmed two cases of circulating vaccine-derived poliovirus (cVDPV) in May 2019, linked to an ongoing outbreak in Somalia. Indonesia also confirmed one case of cVDPV in Papua province in November 2018 and was temporarily re-classified as an outbreak country; Indonesia was deemed as no longer infected in June 2020 and re-classified as an at-risk country vulnerable to reinfection. Finally, in August 2020, Nigeria was declared wild poliovirus (WPV)-free along with the entire WHO AFRO region after 4 years without a WPV case.
WHO/UNICEF Estimates of National Immunization Coverage (WUENIC).
Figure 1.Develop–Distort Dilemma framework adapted for assessing the polio eradication programme (adapted from Peters )
Develop–Distort Dilemma domains
| Domain | Definition |
|---|---|
| Actors | Stakeholders across public and private sectors (for and not-for-profit) who are involved in and/or influence financing, design or implementation of health activities within the polio programme or the broader health system |
| Functions | Scope of the activities that enable delivery of the programme |
| Expectations | Expectations about what the programme’s activities could include and achieve, including responsibility for different components |
| Inclusion | Degree to which the programme actively ensures that all potential beneficiary groups receive programme services |
| Indigeneity | Degree to which the programme’s activities are owned/resourced by indigenous country actors relative to external actors |
| Cost | How much the programme and its associated activities cost |
Interview respondent characteristics, total sample
| Country | Global | Total | ||||
|---|---|---|---|---|---|---|
|
| % |
| % |
| % | |
| Data | ||||||
| No. of interviews completed | 177 | – | 18 | – | 194 | – |
| No. of interviews included in analysis | 177 | – | 17 | 94.4 | 193 | 99.5 |
| Level | ||||||
| Global actors | 0 | 0 | 17 | 100.0 | 17 | 8.8 |
| National actors | 84 | 47.5 | 0 | 0 | 84 | 43.3 |
| Subnational actors | 71 | 40.1 | 0 | 0 | 71 | 36.6 |
| Frontline health workers | 22 | 12.4 | 0 | 0 | 22 | 11.3 |
| Affiliation | ||||||
| Academic organization | 4 | 2.3 | 1 | 5.9 | 5 | 2.5 |
| Consulting firm | 1 | 0.6 | 0 | 0 | 1 | 0.5 |
| Government | 96 | 54.2 | 0 | 0 | 96 | 49.5 |
| GPEI partners | 45 | 25.4 | 14 | 82.3 | 59 | 30.4 |
| Implementing organization | 21 | 11.9 | 2 | 11.8 | 23 | 11.9 |
| Other (e.g. clinical) | 10 | 5.6 | 0 | 0 | 10 | 5.2 |
| Gender | ||||||
| Female | 46 | 26.0 | 4 | 23.5 | 50 | 25.8 |
| Male | 131 | 74.0 | 13 | 76.5 | 144 | 74.2 |
One respondent’s interview was inaudible and could not be reviewed for analysis.