Malaria Infections and Infestations Plasmodium falciparum malaria
Conditions
Interventions
All Government facilities in two study districts were randomised to either the intervention group, in which all health workers will receive text-messages on malaria case-management over 6 months or a
Sponsors
University of Oxford (UK)
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Health workers in intervention facilities prior to delivery of intervention are: 1.1. Working at Government dispensaries/health centres 1.2. Providing outpatient consultations 1.3. Providing informed consent 2. During the cross-sectional surveys, the health facility is: 2.1. Government facility 2.2. Dispensary/health centre level 2.3. Providing outpatient services 3. Health workers: 3.1. Any cadre providing outpatient services on the survey day 3.2. Providing informed consent 4. Children: 4.1. Below 5 years of age 4.2. Weighing 5 kg and above 4.3. Either sex 4.4. Coming for outpatient consultation on survey day 4.5. Mothers or guardians providing informed consent
Exclusion criteria
Exclusion criteria: 1. Health workers without mobile phones in intervention facilities 2. During cross-sectional surveys, the health facility is: 2.1. Private, mission or NGO facilities 2.2. Non-functional during the survey period 3. Health workers not attending enrolled patients on the survey day 4. Children with follow-up chronic diseases, traumas and burns
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| To determine the effectiveness of the mobile phone text-message reminders on the quality of outpatient diagnosis, prescription, counselling, and drug dispensing for children with uncomplicated malaria in Government facilities. Timepoints for primary outcome: Our primary comparison will be between baseline results and results of the second post-intervention survey. However, we will undertake an interim analysis and compare baseline results with the first post-intervention survey. If we are unable to demonstrate a 25 percentage point improvement attributed to the intervention, we will terminate the evaluation. | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. To determine qualitatively the factors that contribute to the effects of the intervention and influence outpatient malaria case-management practices 2. To determine the cost of the intervention using text-messaging of malaria case-management reminders to health workers mobile phones in government facilities | — |
Countries
Kenya
Outcome results
None listed