| Literature DB >> 17603898 |
Manuel W Hetzel1, Nelly Iteba, Ahmed Makemba, Christopher Mshana, Christian Lengeler, Brigit Obrist, Alexander Schulze, Rose Nathan, Angel Dillip, Sandra Alba, Iddy Mayumana, Rashid A Khatib, Joseph D Njau, Hassan Mshinda.
Abstract
BACKGROUND: Prompt access to effective treatment is central in the fight against malaria. However, a variety of interlinked factors at household and health system level influence access to timely and appropriate treatment and care. Furthermore, access may be influenced by global and national health policies. As a consequence, many malaria episodes in highly endemic countries are not treated appropriately. PROJECT: The ACCESS Programme aims at understanding and improving access to prompt and effective malaria treatment and care in a rural Tanzanian setting. The programme's strategy is based on a set of integrated interventions, including social marketing for improved care seeking at community level as well as strengthening of quality of care at health facilities. This is complemented by a project that aims to improve the performance of drug stores. The interventions are accompanied by a comprehensive set of monitoring and evaluation activities measuring the programme's performance and (health) impact. Baseline data demonstrated heterogeneity in the availability of malaria treatment, unavailability of medicines and treatment providers in certain areas as well as quality problems with regard to drugs and services.Entities:
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Year: 2007 PMID: 17603898 PMCID: PMC1925101 DOI: 10.1186/1475-2875-6-83
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Figure 1Map of Kilombero and Ulanga districts with DSS area.
Figure 2Timeline with main interventions and M&E activities.
Figure 3ACCESS road show with social marketing truck.
Figure 4ACCESS billboard promoting prompt and correct treatment.
Figure 5ACCESS Programme logo.
ACCESS Programme components and corresponding indicators for evaluation (refer to main text for details)
| Proportion of episodes treated according to national guidelines within 24 h Treatment-shift to qualified providers | Cross-sectional community surveys (fever and degedege) with EMIC tool | Random sample of households | Repeated (baseline, mid-term, end) |
| DSS (morbidity) and health facility attendance | DSS area, all health facilities | Continuous | |
| Equitable access to appropriate treatment | DSS SES data | DSS area, all health facilities | Continuous |
| Proportion of episodes receiving correct prescription and appropriate advice Patient's satisfaction with services | Quality of care surveys in health facilities | Sample of health facilities | Repeated (baseline, mid-term, end) |
| QIRI | All health facilities | Continuous | |
| Proportion of episodes receiving correct prescription and appropriate advice | Mystery shoppers | All drug stores and random sample of general shops | Annually |
| Shop-keepers' knowledge of malaria symptoms, correct treatment and advice Availability of first- and second-line antimalarial drugs | Cross-sectional surveys in shops stocking drugs | All retailers stocking drugs | Annually |
| Proportion of households within 5 km range of qualified provider | DSS GPS data | All households, health facilities and shops stocking drugs | Repeated |
| Proportion of episodes in underserved areas/poor households/shamba houses receiving correct treatment | Cross-sectional community surveys (fever and degedege), DSS SES data | Random sample of households | Repeated (baseline, mid-term, end) |
| Proportion of malaria-related deaths | DSS mortality data: overall and cause-specific. | All households | Continuous |
| Number of fever episodes. | DSS fever incidence | All households | Continuous |
| Understanding and perception of malaria, its treatment and prevention | Focus-group discussions | 10 groups of caretakers of children under five years in Ifakara and DSS | Once prior to interventions |
| Risk factors for fatal outcome of | Case-control study | Cases: | Once |
| Vulnerability and coping strategies of households during the farming season; movement patterns and health seeking | Cohort study with | Random sample of households with field ( | Once |
| Antimalarial drug quality | Cross-sectional survey | All drug stocking retailers and health facilities | Once |
EMIC = Explanatory Model Interview Catalogue. DSS = Demographic Surveillance System. SES = Socio-economic Status. QIRI = Quality Improvement and Recognition Initiative. GPS = Geographic Positioning System.
Figure 6Map of the study area showing intervention areas 2004 – 2006.
Figure 7Coverage of social marketing campaign in 25 DSS villages: proportion of the population that has attended an ACCESS road show by age group.
Figure 8Average monthly out-patients attendance at 16 health facilities in the DSS and Ifakara in 2004 (ARI = Acute Respiratory Infections).