| Literature DB >> 23826508 |
Shelby E Wilson1, Saul S Morris, Sarah Skye Gilbert, Emily Mosites, Rob Hackleman, Kristoffer L M Weum, Jillian Pintye, Lisa E Manhart, Stephen E Hawes.
Abstract
AIM: This paper aims to identify factors that systematically predict why some countries that have tried to scale up oral rehydration solution (ORS) have succeeded, and others have not.Entities:
Year: 2013 PMID: 23826508 PMCID: PMC3700030 DOI: 10.7189/jogh.03.010404
Source DB: PubMed Journal: J Glob Health ISSN: 2047-2978 Impact factor: 4.413
Figure 1Map of ORS use rates around the world. (Data sources: Demographic and Health Surveys, Multiple Indicator Cluster Surveys and national survey series).
Countries meeting the criteria for “sustained” success
| Country | First year ORS coverage >50% | Most recent year ORS coverage >50% | Most recent coverage measured level | Total number of years coverage >50% |
|---|---|---|---|---|
| Bangladesh | 1994 | 2011 | 77.6 | 17 |
| Democratic People's Republic of Korea | 2000 | 2009 | 74.0 | 9 |
| Malawi | 2001 | 2010 | 69.1 | 9 |
| Sierra Leone | 2003 | 2010 | 72.6 | 7 |
| Thailand | 1996 | 2006 | 68.3 | 10 |
ORS – oral rehydration solution
Countries meeting the criteria for “unsustained success”
| Country | Maximum ORS coverage reached | Year maximum coverage reached | Subsequent decline in coverage | Most recent year ORS coverage reported* |
|---|---|---|---|---|
| Kazakhstan | 73.3 | 2006 | 11.5 | 2011 |
| Lesotho | 54.5 | 2000 | 12.1 | 2004 |
| Mongolia | 55.9 | 2000 | 17.9 | 2005 |
| Swaziland | 85.7 | 2007 | 28.1 | 2010 |
| Trinidad and Tobago | 52.3 | 1987 | 20.3 | 2000 |
| United Republic of Tanzania | 57.6 | 1992 | 13.9 | 2010 |
ORS – oral rehydration solution
*At time of classification for this study.
Countries meeting the criteria for “non–starters”
| Country | Maximum ORS coverage reached | Number of data points |
|---|---|---|
| Burkina Faso | 21.2 | 5 |
| Cameroon | 21.9 | 5 |
| Chad | 23.4 | 4 |
| Côte d'Ivoire | 22.7 | 5 |
| Madagascar | 23.1 | 4 |
| Mali | 15.7 | 3 |
| Mauritania | 23.3 | 2 |
| Morocco | 24.4 | 3 |
| Senegal | 22.4 | 5 |
| Togo | 20.2 | 5 |
| Turkey | 15.9 | 2 |
| Zimbabwe | 20.9 | 3 |
ORS – oral rehydration solution
Dimensions of implementation and their scales
| Dimension | Definition | Scale |
|---|---|---|
| Political stability | The degree to which a country has had minimal political conflict, civil unrest and/or violence | High–Medium–Low |
| Natural disasters | The number of natural disasters experienced by the country during the ORS or zinc scale–up time period | High–Medium–Low |
| U5 mortality | U5 No. deaths | U5 No. deaths |
| U5 deaths due to diarrhea | U5 No. deaths due to diarrhea | U5 No. deaths due to diarrhea |
| Vaccine coverage | The immunization rate | % DTP3 |
| Zinc introduction | Whether the country has introduced zinc | Y/N |
| Private sector share | Of those seeking care for diarrhea, % going to private sector | % going to private sector |
| USAID recipient | Whether the country has received funding from USAID | Y/N |
| Home–based solutions promotion | Whether the country initially promoted home–based sugar–salt solutions | Y/N |
| IMCI country | Whether the country has introduced IMCI | Y/N |
| Decentralization of responsibility not funding | Whether the country has decentralized responsibility without also decentralizing funding | Y/N |
| Degree of collaboration across government, private, public | Extent to which partners worked together on diarrhea case management | HIGH – Multiple types of partners involved and collaborating
MEDIUM – Multiple types of partners involved but tense relations OR few partners but strong relations
LOW – No partnerships, or a few non–collaborative ones |
| Female literacy rate | Self–explanatory | % females literate |
| Diarrhea care–seeking | Degree to which caregivers sought treatment for diarrhea when their child fell ill | % seeking care |
| Reach of health system | Quality of the health infrastructure | HIGH – Infrastructure has broad reach and HCW capacity appropriate for pop size
MEDIUM – Broad reach OR appropriate HCW capacity
LOW – Insufficient reach and poor capacity |
| Surface area | Self–explanatory | square km |
| Population | Self–explanatory | No. people |
| SCALE–UP INDICATORS | ||
| Improved product, including pricing | Degree to which scale–up attempt improved the ORS or zinc product, including making it affordable | HIGH – Price not a barrier to purchase; consumer research conducted to determine preferences
MEDIUM – Generally strong product, but price or consumer research sub–optimally conducted
LOW – Pricing and product not informed by any prior information |
| Marketing campaign | Degree to which scale–up attempt conducted a successful direct–to–consumer marketing campaign | HIGH – Multi–channel, researched campaign of sufficient duration; consumer demand increased
MEDIUM – Multi–channel or of long duration; high knowledge low utilization
LOW – Little impact on awareness and/or use after the campaign |
| Regulatory approval | Whether regulatory hurdles were overcome | Y/N |
| Improved private provider knowledge | Degree to which campaign successfully got private providers to recommend ORS and/or zinc | HIGH – For areas where high use of private providers, specific interventions targeting private providers; for others, inclusion in outreach; positive impact on provider recommendations
MEDIUM – Inclusion in outreach, awareness but not impact
LOW – Not included in outreach |
| Improved public provider knowledge; increasing supportive supervision | Degree to which campaign successfully got public providers to recommend ORS and/or zinc | HIGH – For areas where high use of public providers, specific interventions targeting private providers; for others, inclusion in outreach; positive impact on provider recommendations
MEDIUM – Inclusion in outreach, awareness but not impact
LOW – Not included in outreach |
| Increasing availability of supply | Degree to which scale–up including local manufacturing, and consistent availability of quality product | HIGH – Few stockouts, local supplier, private and public
MEDIUM – Modest number of stockouts, foreign supply, private or public
LOW – Low availability |
| Financing of scale–up | Degree to which countries successfully began to own scale–up and both scale–up and maintenance had sufficient funds | HIGH – Partners contribute but country assume ownership; sufficient funding in volume and duration MEDIUM – Partners contribute or country ownership, but funding insufficient LOW – Few contributors; insufficient funding |
Number and type of key informants accessed for each country
| Country | Government | Donor | Multilateral and bilateral | NGO | Local private sector | Academia | Clinical | Total | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bangladesh | 0 | 1 | 0 | 2 | 2 | 1 | 0 | 6 | ||||||
| Guyana | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 3 | ||||||
| India | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 4 | ||||||
| Madagascar | 1 | 0 | 0 | 7 | 0 | 0 | 0 | 8 | ||||||
| Malawi | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 6 | ||||||
| Senegal | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 4 | ||||||
| Sierra Leone | 1 | 1 | 0 | 5 | 0 | 0 | 0 | 7 | ||||||
| Tanzania | 1 | 0 | 2 | 7 | 1 | 0 | 0 | 11 | ||||||
| Trinidad and Tobago | 0 | 0 | 3 | 1 | 0 | 0 | 2 | 6 | ||||||
| Multi–country input | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 3 | ||||||
| Total | 5 | 3 | 8 | 33 | 4 | 1 | 4 | 58 | ||||||
NGO – Non-governmental organization
Figure 2Oral rehydration solution (ORS) use rates by country, 1987-2011.
Figure 3Aggregate implementation scores, by country scale-up type. Box plot with whiskers from minimum to maximum scores for the “sustained success” countries. The whiskers indicate the range of the data and are represented as vertical lines ending in a small horizontal line. The median and the interquartile range (IQR) were used to construct each box. The horizontal bar in the middle is the median score and the height of the box is equal to the IQR, drawn so that it starts at the 25th percentile (lower quartile value) and stops at the 75th percentile (upper quartile value).
Scores given to each country for each scale–up criterion
| Scale–up indicators | Bangladesh | Malawi | Sierra Leone | Guyana | Tanzania | Trinidad & Tobago | Senegal | India* | Madagascar |
|---|---|---|---|---|---|---|---|---|---|
| Improved product, including pricing | 2 | 2 | 1 | 1 | 0 | 1 | 1 | 1 | 1 |
| Marketing campaign | 2 | 2 | 2 | 2 | 0 | 1 | 0 | 1 | 0 |
| Regulatory not a barrier | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
| Improved private provider knowledge | 1 | 2 | 0 | 1 | 1 | 2 | 0 | 0 | 1 |
| Improved public provider knowledge; increasing supportive supervision | 2 | 1 | 2 | 2 | 0 | 2 | 1 | 1 | 1 |
| Increasing availability of supply | 2 | 2 | 2 | 1 | 0 | 1 | 0 | 1 | 1 |
| Financing of scale–up | 2 | 1 | 1 | 2 | 0 | 2 | 0 | 0 | 0 |
| TOTAL | 13 | 12 | 10 | 11 | 3 | 11 | 4 | 6 | 6 |
*Up to 2005
ORS – oral rehydration solution, U5 – under 5 years of age, DTP3 – Diphtheria–tetanus–pertussis, USAID – United States Agency for International Development, IMCI – Integrated Management of Childhood Illness, No.- number, Y/N – yes/no