Injection Practices in the Developing World - Results and Recommendations from Field Studies in Uganda and Indonesia - EDM Research Series No. 020
(1996; 157 pages) Ver el documento en el formato PDF
Índice de contenido
Ver el documentoExecutive summary
Ver el documentoAcknowledgements
Abrir esta carpeta y ver su contenido1. Introduction
Abrir esta carpeta y ver su contenido2. Towards a rapid assessment methodology for injection practices research
Abrir esta carpeta y ver su contenido3. Background: the social and cultural context of injections
Cerrar esta carpeta4. The prevalence of injection use in Uganda and Indonesia
Ver el documento4.1 Health care context in Uganda and Indonesia
Ver el documento4.2 Prevalence of injection use at the household level
Ver el documento4.3 Illness-related injection use at the household level
Ver el documento4.4 Type of injections
Ver el documento4.5 Injection use by age and sex
Ver el documento4.6 Source of injections
Ver el documento4.7 Injection rates at health facilities
Ver el documento4.8 The distribution channels of injections
Ver el documento4.9 Conclusion
Abrir esta carpeta y ver su contenido5. The popularity of injections in Uganda and Indonesia
Abrir esta carpeta y ver su contenido6. The appropriateness of injection use in Uganda and Indonesia
Abrir esta carpeta y ver su contenido7. Conclusions and recommendations
Ver el documentoReferences
Abrir esta carpeta y ver su contenidoAppendix 1: Indicators for injection use and for assessment of hygienic practices
Abrir esta carpeta y ver su contenidoAppendix 2: Methods applied in the injection practices research
Abrir esta carpeta y ver su contenidoAppendix 3: Tools used in the injection practices research
 

4.3 Illness-related injection use at the household level

The above figures are rough measures for injection prevalence. More meaningful is to assess to which extent illnesses, occurring in the research population, are being treated with injections. In both countries, one or more cases of illness were reported in some 70% of the households over the past two weeks. Injection rates, however, varied from some 40% of households with a report of illness (Uganda) to some 60% in Indonesia.

In Uganda, cases of illness which had occurred in the household in the past two weeks were recorded during the follow-up visit. In Busoga, 239 of 360 households (66%) and in Ankole 252 out of 360 households (70%) reported an illness case. There are no statistical differences in illness rates between the region (p=0.05). In Busoga, out of these 239 households with one or more ill subjects, 93 reported to have used injections (39%). In Ankole the injection rate in households with ill subjects is slightly higher: 43% (108/252), but this difference is not statistically significant (p=0.05).

In Indonesia, more households in Lebak (324 out of 407 households; 80%) reported illness in the past two weeks than in Lombok (287 of 409 households; 70%). The reported illness rates in Lebak are significantly higher than in Lombok (*p=0.01). This can be explained by the fact that households in Lebak have a larger number of members than in Lombok (*p=0.01), thereby increasing the chance of having one or more sick members in the household19.

19When the illness rates of the total research population in both regions were compared, no statistical differences could be found. The illness rates in Lebak is 24% of all household members; in Lombok 21% (p=0.05).

Injection rates in the ill population are significantly higher in Lombok than in Lebak. In Lebak, 172 out of 324 households with illness cases reported injection use (53%) and in Lombok 182/287 (63%) (*p=0.01). How can this be explained? More refined analysis of the Indonesian data reveals that when ill, people in Lombok attend health facilities more frequently, and that injection rates in these health facilities are significantly higher than in Lebak.

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Última actualización: le 3 mayo 2013