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Evaluating the response to suspected disease outbreaks using a short message service (SMS) model

Evaluating the response to suspected disease outbreaks using a short message service (SMS) model: a cluster randomized controlled trial

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ISRCTN
Registry ID
ISRCTN79529838
Enrollment
153
Registered
2013-06-07
Start date
2013-06-17
Completion date
Unknown
Last updated
2015-01-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

14 priority diseases that require immediate reporting: adverse events following immunization, anthrax, cholera, Guinea worm, measles, neonatal tetanus, plague, Rift Valley fever, severe acute respiratory infections, viral hemorrhagic fever, yellow fever, and other (any public health event of national and international concerns). Infections and Infestations

Interventions

153 facilities in 12 districts will be randomized to two groups: intervention and control groups, to measure the effects of the SMS-based outbreak alert system before and after implementation. The in

Sponsors

Nagasaki University (Japan)
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Health facilities that are listed on the Kenya Master Facility List (MFL) 2. Health facilities that offer curative services 3. Health facilities that are operational 4. Interviews will be conducted with health workers and disease surveillance coordinators who are literate and can comprehend English

Exclusion criteria

Exclusion criteria: 1. Health facilities that are not listed on MFL 2. Health facilities that do not offer curative services 3. Health facility in-charges or a representative who cannot send SMS during training 4. Health facilities that do not have mobile phone network coverage in the area

Design outcomes

Primary

MeasureTime frame
1. Percentage of health facilities that reported suspected outbreak cases within 24 hours to the next level 2. Percentage of health facilities that responded to suspected outbreak cases within 24 hours of notification

Secondary

MeasureTime frame
1. To assess the feasibility of implementing the SMS-based outbreak alert system 2. To determine the impact of the SMS-based outbreak alert system on the timeliness of disease outbreak notification 3. To determine the impact of the SMS-based outbreak alert system on the timeliness of disease outbreak response 4. To determine qualitatively the factors that influence performance on disease outbreak notification and response Documents review, structured interview, and knowledge assessment questions will be conducted to collect quantitative information. Key informant interview will be conducted to collect qualitative information.

Countries

Kenya

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026