A data platform to improve rabies prevention, Sri Lanka
A Pubudu De Silva a, PA Lionel Harischandra b, Abi Beane c, Shriyananda Rathnayaka d, Ruwini Pimburage b, Wageesha Wijesiriwardana a, Dilanthi Gamage a, Desika Jayasinghe b, Chathurani Sigera a, Amila Gunasekara e, Mizaya Cadre b, Sarath Amunugama f, Priyantha L Athapattu g, K Saroj A Jayasinghe h, Arjen M Dondorp c & Rashan Haniffa a
a. Network for Improving Critical Care Systems and Training, 2nd Floor, YMBA Building, Colombo 08, Sri Lanka.
b. Public Health Veterinary Services, Colombo, Sri Lanka.
c. Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand.
d. Information Communication Technology Agency of Sri Lanka, Colombo, Sri Lanka.
e. National Hospital of Sri Lanka, Colombo, Sri Lanka.
f. Office of Deputy Director General (Public Health Services) I, Ministry of Health, Colombo, Sri Lanka.
g. Office of Director Medical Services, Ministry of Health, Colombo, Sri Lanka.
h. Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Correspondence to Rashan Haniffa (email: email@example.com).
(Submitted: 08 November 2016 – Revised version received: 22 March 2017 – Accepted: 06 April 2017 – Published online: 19 May 2017.)
Bulletin of the World Health Organization 2017;95:646-651. doi: http://dx.doi.org/10.2471/BLT.16.188060
In 1975 the Sri Lankan Ministry of Health initiated a series of nationwide rabies prevention measures, coordinated by the public health veterinary services. These covered the introduction of dog vaccination (including stray dogs after 1997), post-exposure prophylaxis for patients presenting after an animal bite (after 1992) and sterilization of stray dogs (after 2008).3 In 2015 1 294 529 domestic dogs and 152 404 stray dogs were vaccinated and 274 405 patients started on post-exposure prophylaxis.2 Patients who are bitten by a mammal can attend rabies clinics in government hospitals where post-exposure prophylaxis is provided free of charge. Public health information ensures high public awareness of rabies risk and the location of clinics. If the bite is low severity or the animal is known, treatment is deferred for 14 days while the animal is observed for clinical signs of rabies.4 Otherwise, post-exposure prophylaxis is started, which requires the patient to attend the clinic for vaccination with inactivated cell-culture-based rabies vaccine on days 0, 3, 7 and 30 following presentation.5 Samples of dead animals from all parts of Sri Lanka are sent to specialist laboratories that use direct fluorescent antibody testing for the presence of rabies virus.
However, clinical treatment, prevention initiatives and surveillance of rabies epidemiology in Sri Lanka are hindered by weaknesses in record-keeping and data collection. Clinic health records and reports to the public health inspectorate are paper-based and regional variations in completeness of record-keeping exist. Monthly reports are collated and disseminated in an electronic database. Clinicians therefore have limited access to information on a patient’s completion of post-exposure prophylaxis regimes and nationwide surveillance to ascertain the completion rate of anti-rabies treatment in Sri Lanka is poor.6 Similarly, there is no system for contacting patients to attend for vaccinations. This contributes to missed, delayed or duplicated vaccinations.7,8 Another problem is that feedback of laboratory results to the public health veterinary services is via manual monthly reports. This delays the ability of front-line teams to identify and respond to rabies outbreaks, locate infected animals and contact patients associated with animals that have tested positive. Finally, public health inspectors and the public health veterinary services have limited ability to evaluate the effectiveness of the current canine vaccination programme on a national basis and to identify regional variations in activity (e.g. urban compared with rural locations) and transmission characteristics.1
This paper describes the creation of an electronic platform to improve the collection and sharing of data for better management and surveillance of rabies in Sri Lanka. The platform was developed by adapting existing acute and critical care platforms9 and was driven by clinicians looking for solutions to the problems outlined above.
The project was a joint initiative of the public health veterinary services of the health ministry and the Network for Improving Critical Care Systems and Training Sri Lanka. It aimed to provide real-time data on: (i) the incidence and characteristics of mammal bites to humans; (ii) patient demographics; (iii) treatment decisions and patient outcomes; and (iv) the prevalence of rabies in dead mammals.
The design of the data platform was clinician-led, focusing on the information needed to improve front-line care. We conducted scoping interviews with public health veterinary services and clinical staff to determine users’ data requirements. In hospitals the required variables included patient characteristics, animal characteristics, severity of the bite and patient treatment details (Box 1). In laboratories the variables included type of animal, habitat, mode of death, vaccination status and investigation results. We developed the data collection tool using REDCap software (REDCap Consortium, Nashville, United States of America). The tool was accessible to users via the internet from desktop computers and mobile devices. Data on each bite incident are entered by trained nursing officers when patients first present to a hospital rabies clinic. Data on animal test results are entered by clinical staff in the relevant laboratories.
Box 1. Information available on dashboards of the electronic platform for improving surveillance and treatment data on rabies in Sri Lanka, 2016
- Bite incident details: geographical location, date of incident, bite severity (major or minor), mammal classification, vaccination summary, status of mammal (dead or alive).
- Bite incident reporting rates of hospitals and public health inspectors.
- Patient’s demographic and clinical data: name, age, sex, occupation, date of presentation to the hospital, bite severity, vaccination dates and completeness.
- Treatment: physician’s decision (treatment initiated or deferred), anti-rabies virus vaccine treatment regime (days 0, 3, 7 & 30), treatment completeness (including delays in vaccine doses).
- Laboratory investigations: investigation type (FAT, ICT, MIT, PCR), status of mammal (dead or alive), test result (rabies virus positive or negative), geographical location of rabies-positive animal.
Treatment follow-up category
- Patient’s demographic and clinical data: contact details, bite incident details (date, mammal, severity), treatment (treatment initiated or deferred).
- Patient’s appointment attendance (attended or not).
- Patient’s anti-rabies virus vaccine treatment status (vaccinated, not vaccinated, yet to vaccinate or observation of animal only).
Laboratory testing category
- Patient’s demographic data, bite incident details, physician’s treatment decisions.
- Biopsy test results (positive or negative), by area.
- Classification of animal (dog, cat, domestic-other, non-domestic-other).
FAT: fluorescent antibody test; ICT: immunochromatographic test strip; MIT: mouse inoculation test; PCR: polymerase chain reaction.
Initial training was done by the central registry team at visits to rabies clinics and laboratories. During the implementation phase, ongoing clinician support was provided by the registry staff by telephone, with daily validation phone calls to the clinics to determine the numbers and motivate staff towards data entry. Laboratories were also contacted daily by the central registry validation team during implementation to help improve information completeness and staff skills.
We used a business analytics software (Tableau version 10.0, Tableau Software, Seattle, USA) to develop dashboards that would enable users to visualize the data in real-time, either as an aggregate or filtered by incident location or characteristics. The data are accessible to front-line staff (nurses and doctors), administrators, public health inspectors and laboratory teams via an online portal. Aggregated data are accessible to the general public, so that trends in bite incidence, patient demographics, mammal characteristics and laboratory test results can be identified. Individual patient data and laboratory results require a two-step authentication and are accessible only to clinicians treating the patient and to public health inspectors. The data are then displayed through a dashboard via the registry platform in the secure servers of the Information and Communication Technology Agency of the Government of Sri Lanka.10
Mobile phone ownership is very high in Sri Lanka and follow-up of patients is aided by linking the post-exposure prophylaxis dashboard to a bespoke automated short message system (SMS). The clinician enters the patient’s mobile phone number and national identification number (the only unique identifier) to enable treatment episodes and outcomes to be linked. SMS alerts are sent to the patient the day before the due date of anti-rabies vaccine. Patients with deferred treatment are contacted on day 14 of the observation period of the suspected animal. Teams in rabies clinics are alerted by SMS to the numbers of patients due for anti-rabies vaccine each day, while public health inspectors are alerted to the incidence and characteristics of bites reported within their region, and any subsequent animal deaths. A schematic overview of the platform is shown in Fig. 1.
Fig. 1. Schematic overview of the real-time SMS alert system for animal-bitten patients and health-care teams in Sri Lanka
The live platform was rolled out on 1 June 2016 across four districts in Sri Lanka (two urban and two rural: Colombo, Gampaha, Mathale and Monaragala), with a combined population of 3 224 923. It linked six hospital clinics, three laboratories (Medical Research Institute, Karapitiya and Peradeniya) and the public health inspectorate. The SMS alert system was initiated on 1 September 2016 in two of the districts that volunteered to participate.
Between 1 June 2016 and 28 February 2017, 12 121 reported incidents of animal bites from the four districts were entered into the registry, providing real-time data on the incidence, character and geographical location of mammal bites. Clinicians and public health teams were able to access data on the clinical management and outcomes of patients on post-exposure prophylaxis (9507; 78.4%) or with treatment deferred (2614; 21.6%). Five of the six clinics reported on the completeness of post-exposure prophylaxis, showing that 293 (7.9%) of 3709 patients completed all four anti-rabies vaccinations. Data on other patient outcomes (e.g. delays in starting treatment, number of deaths) will be available in the future. Information on the characteristics of suspected sources (60.8% dogs, 24.8% cats, 7.1% rats and other 7.4% non-domesticated mammals) enabled the public health veterinary services to evaluate current animal vaccination strategies and identify regional epidemiological variances.
Of 907 dead mammals tested, 328 (36.2%) were positive for rabies virus. The laboratories entered these data into the registry so that animal test results could be communicated rapidly to the clinic teams and the public health inspectorate responsible for individual cases.
Over the 6-month period, the SMS alert system in two districts alerted 1376 (71.2%) patients on post-exposure prophylaxis to attend their vaccination appointments; contact details were unavailable for 557 patients. Daily SMS reports alerted 17 public health inspectors to 3125 bite incidents in their region for further investigation.
This proof-of concept study illustrates how technologies that already exist in many low- and middle-income countries can be harnessed with existing staff resources to create an electronic platform for improving public health surveillance (Box 2). Maximizing the availability of information on the incidence, geographical location and outcomes of mammal bites should facilitate timely responses to incidents, and inform decisions about resource allocation and the refinement of treatment and prevention programmes. The SMS alerts health-care responders to clusters of incidents in their region and aims to improve compliance by patients on treatment; similar systems have proved effective in other health-care settings.11 Work is ongoing with front-line staff to improve completeness of contact information and to explore low treatment compliance in this setting.
Box 2. Summary of main lessons learnt
Existing technologies in low- and middle-income countries can be harnessed using minimal resources to provide a platform for improved public health surveillance.
To expand the platform within Sri Lanka and to test its transferability to other settings, investment is needed in platform development and training and support for front-line staff.
Greater public engagement is needed to improve completeness of surveillance and treatment.
To expand the platform within Sri Lanka, investment is needed in platform development and in training and support for clinical staff, both to address data completeness and to refine the platform before scaling-up the initiative. Such investment would also allow an evaluation of the impact of the platform on reducing avoidable delays in starting post-exposure prophylaxis. It would also inform targeted animal vaccinations, using the data on where and when bites occurred. The existing media campaign may need to be boosted to raise the public’s awareness of the importance of reporting animal bites and complying with post-exposure care.
The next stage is to extend the platform to all rabies clinics nationwide to assist clinicians and administrators throughout the country to organize resources and improve the completeness rates of post-exposure prophylaxis. This information could be accessed remotely by specialists to help local teams refine prevention strategies based on regional epidemiological information and to enable clinicians to evaluate existing and future treatment protocols for rabies and other communicable diseases.
Other author affiliations are as follows: Intensive Care National Audit and Research Centre, London, England (APDS); Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand (RH, AB), National Intensive Care Surveillance, Ministry of Health, Colombo, Sri Lanka (APDS, WW, DG, PCS, PLA, RH); Network for Improving Critical Care Systems and Training, Colombo, Sri Lanka (AB); University of Oxford, Oxford, England (AB, AMD, RH).
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