Effect of Phone Text Message Reminders on Compliance with Rabies Post-Exposure Prophylaxis following Dog Bites in Rural Kenya
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Study Design and Sample Size Calculation
2.3. Data Collection
2.4. Data Analysis
2.5. Clinical Trial
3. Results
3.1. Demographic and Socio-Economic Characteristics
3.2. Characteristics of the Bite and Biting Animal
3.3. Effect of SMS Reminders on Compliance with the PEP Regimen
3.4. Factors Affecting PEP Completion and Compliance
3.5. Reasons for Non-Compliance and PEP Cost
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Knobel, D.L.; Cleaveland, S.; Coleman, P.G.; Fèvre, E.M.; Meltzer, M.I.; Miranda, M.E.; Shaw, A.; Zinsstag, J.; Meslin, F.X. Re-evaluating the burden of rabies in Africa and Asia. In Bulletin of the World Health Organization; WHO: Geneva, Switzerland, 2005; pp. 360–368. [Google Scholar]
- Hampson, K.; Coudeville, L.; Lembo, T.; Sambo, M.; Kieffer, A.; Attlan, M.; Barrat, J.; Blanton, J.D.; Briggs, D.J.; Cleaveland, S.; et al. Estimating the Global Burden of Endemic Canine Rabies. PLoS Negl. Trop. Dis. 2015, 9, e0003709. [Google Scholar] [CrossRef] [Green Version]
- Lankester, B.F.; Hampson, K.; Lembo, T.; Palmer, G. Implementing Pasteur’s vision for rabies elimination. Am. Assoc. Adv. Sci. 2014, 345, 1563–1564. [Google Scholar] [CrossRef] [PubMed]
- WHO. Rabies Vaccines and Immunoglobulins: WHO Position April 2018 Administration of Rabies Vaccines: Post-Exposure Prophylaxis (PEP); WHO: Geneva, Switzerland, 2018; pp. 6–8. [Google Scholar]
- WHO. WHO Expert Consultation on Rabies: Third Report; World Health Organization-Technical Report Series; WHO: Geneva, Switzerland, 2018. [Google Scholar]
- Rupprecht, C.E.; Briggs, D.; Brown, C.M.; Franka, R.; Katz, S.L.; Kerr, H.D.; Lett, S.; Levis, R.; Meltzer, M.I.; Schaffner, W.C.P. Evidence for a 4-dose vaccine schedule for human rabies post-exposure prophylaxis in previously non-vaccinated individuals. Vaccine 2009, 51, 7141–7148. [Google Scholar] [CrossRef]
- Bitek, A.O.; Osoro, E.; Munyua, P.M.; Nanyingi, M.; Muthiani, Y.; Kiambi, S.; Muturi, M.; Mwatondo, A.; Muriithi, R.; Cleaveland, S.; et al. A hundred years of rabies in Kenya and the strategy for eliminating dog-mediated rabies by 2030. AAS Open Res. 2019, 1, 23. [Google Scholar] [CrossRef]
- Zoonotic Disease Unit. Strategic Plan for the Elimination of Human Rabies in Kenya 2014–2030; Ministry of Health: Nairobi, Kenya, 2014; p. 8. [Google Scholar]
- Wambura, G.; Mwatondo, A.; Muturi, M.; Nasimiyu, C.; Wentworth, D.; Hampson, K.; Bichanga, P.; Tabu, C.; Juma, S.; Ngere, I.; et al. Rabies vaccine and immunoglobulin supply and logistics: Challenges and opportunities for rabies elimination in Kenya. Vaccine 2019, 37, A28–A34. [Google Scholar] [CrossRef]
- WHO. Everybody Business: Strengthening Health Systems to Improve Health Outcome: WHO’s Framework for Action; WHO: Geneva, Switzerland, 2007. [Google Scholar]
- WHO Global Observatory for eHealth. New Horizons for Health through Mobile Technologies; WHO: Geneva, Switzerland, 2011; p. 3. [Google Scholar]
- Oyas, H.; Holmstrom, L.; Kemunto, N.P.; Muturi, M.; Mwatondo, A.; Osoro, E.; Bitek, A.; Bett, B.; Githinji, J.W.; Thumbi, S.M.; et al. Enhanced surveillance for Rift Valley Fever in livestock during El Niño rains and threat of RVF outbreak, Kenya, 2015–2016. PLoS Negl. Trop. Dis. 2019, 12, e0006353. [Google Scholar] [CrossRef] [Green Version]
- Thumbi, S.M.; Njenga, M.K.; Otiang, E.; Otieno, L.; Munyua, P.; Eichler, S.; Widdowson, M.-A.; McElwain, T.F.; Palmer, G.H. Mobile phone-based surveillance for animal disease in rural communities: Implications for detection of zoonoses spillover. Philos. Trans. R. Soc. B Biol. Sci. 2019, 374, 20190020. [Google Scholar] [CrossRef] [Green Version]
- Schwebel, F.J.; Larimer, M.E. Using text message reminders in health care services: A narrative literature review. Internet Interv. 2018, 13, 82–104. [Google Scholar] [CrossRef]
- Linde, D.S.; Korsholm, M.; Katanga, J.; Rasch, V.; Lundh, A.; Andersen, M.S. One-way SMS and healthcare outcomes in Africa: Systematic review of randomised trials with meta-analysis. PLoS ONE 2019, 14, e0217485. [Google Scholar] [CrossRef] [Green Version]
- Eze, P.; Lawani, L.O.; Acharya, Y. Short message service (SMS) reminders for childhood immunisation in low-income and middle-income countries: A systematic review and meta-analysis. BMJ Glob. Health 2021, 6, e005035. [Google Scholar] [CrossRef] [PubMed]
- Cleaton, J.M.; Wallace, R.M.; Crowdis, K.; Gibson, A.; Monroe, B.; Ludder, F.; Etheart, M.D.; Vigilato, M.A.N.; King, A. Impact of community-delivered SMS alerts on dog-owner participation during a mass rabies vaccination campaign. Haiti 2017. Vaccine 2018, 36, 2321–2325. [Google Scholar] [CrossRef]
- Mtema, Z.; Changalucha, J.; Cleaveland, S.; Elias, M.; Ferguson, H.M.; Halliday, J.E.; Haydon, D.T.; Jaswant, G.; Kazwala, R.; Killeen, G.F.; et al. Mobile Phones as Surveillance Tools: Implementing and Evaluating a Large-Scale Intersectoral Surveillance System for Rabies in Tanzania. PLoS Med. 2016, 13, e1002002. [Google Scholar] [CrossRef] [PubMed]
- Kenya National Bureau of Statistics. 2019 Kenya Population and Housing Census; Kenya National Bureau of Statistics: Nairobi, Kenya, 2019; Volume II. [Google Scholar]
- Ministry of Health. District Health Information System. 2017. Available online: https://www.health.go.ke/district-health-information-systemdhis2/ (accessed on 29 September 2021).
- Hijmans, R.J. Database of Global Administrative Areas. 2009. Available online: https://gadm.org (accessed on 24 July 2021).
- Champely, S. Package ‘pwr’. 2020. Available online: https://cran.r-project.org/web/packages/pwr/pwr.pdf (accessed on 27 August 2021).
- R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2021. [Google Scholar]
- Ngugi, J.N.; Maza, A.K.; Omolo, O.J.; Obonyo, M. Epidemiology and surveillance of human animal-bite injuries and rabies post- exposure prophylaxis, in selected counties in Kenya, 2011–2016. BMC Public Health 2018, 18, 996. [Google Scholar] [CrossRef] [PubMed]
- Cleaveland, S.; Thumbi, S.; Sambo, M.; Lugelo, A.; Lushasi, K.; Hampson, K.; Lankester, F. Proof of concept of mass dog vaccination for thecontrol and elimination of canine rabies. Rev. Sci. Tech. 2018, 37, 559–568. [Google Scholar] [CrossRef] [PubMed]
- Vigilato, M.A.N.; Clavijo, A.; Knobl, T.; Silva, H.M.T.; Cosivi, O.; Schneider, M.C.; Leanes, L.F.; Belotto, A.J.; Espinal, M.A. Progress towards eliminating canine rabies: Policies and perspectives from Latin America and the Caribbean. Philos. Trans. R. Soc. B Biol. Sci. 2013, 368, 20120143. [Google Scholar] [CrossRef] [PubMed]
- FAO. Developing a Stepwise Approach for Rabies Prevention and Control. In Proceedings of the FAO/GARC Workshop, Rome, Italy, 6–8 November 2012; The FAO Animal Production and Health Proceedings. FAO: Rome, Italy, 2013. Available online: http://www.fao.org/docrep/019/i3467e/i3467e.pdf (accessed on 29 September 2021).
- Scott, T.P.; Coetzer, A.; De Balogh, K.; Wright, N.; Nel, L.H. The Pan-African Rabies Control Network (PARACON): A unified approach to eliminating canine rabies in Africa. Antivir. Res. 2015, 124, 93–100. [Google Scholar] [CrossRef] [Green Version]
- Quiambao, B.P.; Dytioco, H.Z.; Dizon, R.M.; Crisostomo, M.E.; Laot, T.M.; Teuwen, D.E. Rabies Post-Exposure Prophylaxis in the Philippines: Health Status of Patients Having Received Purified Equine F(ab’)2 Fragment Rabies Immunoglobulin (Favirab). Negl. Trop. Dis. 2008, 2, e243. [Google Scholar] [CrossRef]
- Gadre, G.; Satishchandra, P.; Mahadevan, A.; Suja, M.S.; Madhusudana, S.N.; Sundaram, C.; Shankar, S.K. Rabies viral encephalitis: Clinical determinants in diagnosis with special reference to paralytic form. Neurol. Neurosurg. Dpsychiatry 2010, 81, 812–820. [Google Scholar] [CrossRef]
- Shankaraiah, R.; Rajashekar, R.; Veena, V.; Hanumanthaiah, A.N. Compliance to anti-rabies vaccination in post-exposure prophylaxis. Indian J. Public Health 2015, 59, 58–60. [Google Scholar] [CrossRef]
- Biggers, A.; Shi, Y.; Charlson, J.; Smith, E.C.; Smallwood, A.J.; Nattinger, A.; Laud, P.W.; Neuner, J.M. Medicare D subsidies and racial disparities in persistence and adherence with hormonal therapy. J. Clin. Oncol. 2016, 34, 4398–4404. [Google Scholar] [CrossRef] [Green Version]
- Nelson, L.A.; Mulvaney, S.A.; Gebretsadik, T.; Ho, Y.X.; Johnson, K.B.; Osborn, C.Y. Disparities in the use of a mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes. J. Am. Med. Inform. Assoc. 2016, 23, 12–18. [Google Scholar] [CrossRef] [Green Version]
- Mpolya, E.A.; Lembo, T.; Lushasi, K.; Mancy, R.; Mbunda, E.M.; Makungu, S.; Maziku, M.; Sikana, L.; Jaswant, G.; Townsend, S.; et al. Toward Elimination of Dog-Mediated Human Rabies: Experiences from Implementing a Large-scale Demonstration Project in Southern Tanzania. Front. Vet. Sci. 2017, 4, 21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Maslakpak, M.H.; Safaie, M. A Comparison between The Effectiveness of Short Message Service and Reminder Cards Regarding Medication Adherence in Patients with Hypertension: A Randomized Controlled Clinical Trial. Int. J. Community Based Nurs. Midwifery 2016, 4, 209–218. [Google Scholar] [PubMed]
- Akhu-Zaheya, L.M.; Shiyab, W.Y. The effect of short message system (SMS) reminder on adherence to a healthy diet, medication, and cessation of smoking among adult patients with cardiovascular diseases. Int. J. Med. Inform. 2017, 98, 65–75. [Google Scholar] [CrossRef] [PubMed]
- Nhavoto, J.A.; Gronlun, A.; Klein, G.O. Mobile health treatment support intervention for HIV and tuberculosis in Mozambique: Perspectives of patients and healthcare workers. PLoS ONE 2017, 12, e0176051. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Intervention Group (n = 82) | Control Group (n = 104) | Total (N = 186) | p Value | |
---|---|---|---|---|
Gender | 0.053 | |||
Female | 44 (54%) | 41 (39%) | 85 (46%) | |
Male | 38 (46%) | 63 (61%) | 101 (54%) | |
Age | 0.688 | |||
Median | 15 | 12 | 14 | |
Interquartile range | 8–38 | 8–33 | 8–38 | |
Level of education | 0.135 | |||
Non formal education | 0 (0%) | 4 (4%) | 4 (2%) | |
Primary school | 47 (57%) | 46 (44%) | 93 (50%) | |
Secondary school | 20 (24%) | 30 (29%) | 50 (27%) | |
Tertiary school | 15 (18%) | 24 (23%) | 39 (21%) | |
Household size | 0.317 | |||
Mean (SD) | 6 (4) | 6 (3) | 6 (4) | |
Range | 2–30 | 1–32 | 1–32 | |
Home location | 0.316 | |||
Rural | 78 (95%) | 95 (91%) | 173 (93%) | |
Urban | 4 (5%) | 9 (9%) | 13 (7%) | |
Age of household head | 0.684 | |||
Median | 44 | 45 | 44 | |
Interquartile range | 38–50 | 38–53 | 38–50 | |
Occupation † | 0.760 | |||
Businessperson | 16 (20%) | 23 (22%) | 39 (21%) | |
Casually employed | 8 (10%) | 14 (14%) | 22 (12%) | |
Farmer | 41 (50%) | 57 (55%) | 98 (53%) | |
Formally employed | 15 (18%) | 12 (12%) | 27 (15%) | |
Unemployed | 5 (6%) | 7 (7%) | 12 (7%) | |
Family income per month | 0.809 | |||
USD 100 | 55 (67%) | 68 (65%) | 123 (66%) | |
>USD 100 | 27 (33%) | 36 (35%) | 63 (34%) | |
Household ownership of livestock † | 0.610 | |||
Chicken | 28 (34%) | 50 (48%) | 78 (42%) | |
Cow | 38 (46.3%) | 51 (49%) | 89 (48%) | |
Goat | 46 (56.1%) | 67 (64%) | 113 (61%) | |
Sheep | 5 (6.1%) | 7 (7%) | 12 (7%) | |
Donkey | 13 (15.9%) | 17 (16%) | 30 (16%) | |
Means of transport to health facility † | 0.366 | |||
Motorbike | 28 (34%) | 52 (50%) | 80 (43%) | |
Private vehicle | 3 (4%) | 1 (1%) | 4 (2%) | |
Public vehicle transport | 58 (71%) | 84 (81%) | 141 (76%) | |
Walking | 5 (6%) | 6 (6%) | 11 (6%) | |
Time taken to health facility (mins) | 0.715 | |||
Median | 35 | 30 | 30 | |
Interquartile range | 30–60 | 30–60 | 30–60 | |
Cost of transport (USD) | 0.671 | |||
Mean (SD) | 4 (5) | 4(3) | 4(4) | |
Range | 0–42 | 0–17 | 0–42 | |
Whether patient was accompanied at some point to the health facility | 0.457 | |||
No | 27 (33%) | 29 (28%) | 56 (30%) | |
Yes | 55 (67%) | 75 (72%) | 130 (70%) | |
Whether the patient sought accommodation while attending the health facility | 0.810 | |||
No | 80 (98%) | 102 (98%) | 182 (98%) | |
Yes | 2 (2%) | 2 (2%) | 4 (2%) | |
Health insurance used | 0.041 | |||
None | 7 (9%) | 5 (5%) | 12 (6%) | |
National Health Insurance Fund | 9 (11%) | 3 (3%) | 12 (6%) | |
Universal Health Coverage | 66 (80%) | 96 (92%) | 162 (87%) |
Parameters | Treatment Group (n = 82) | Control Group (n = 104) | Total (N = 186) | p Value |
---|---|---|---|---|
Bite site | ||||
Head/Neck | 4 (5%) | 5 (5%) | 9 (5%) | 0.982 |
Arms/Hands | 29 (35%) | 27 (26%) | 56 (30%) | 0.165 |
Trunk | 1 (1%) | 5 (5%) | 6 (3%) | 0.169 |
Legs | 49 (60%) | 61 (59%) | 110 (59%) | 0.879 |
Feet | 3 (4%) | 7 (7%) | 10 (5%) | 0.356 |
Bite category | 0.004 | |||
Category 1 | 14 (17%) | 3 (3%) | 17 (9%) | |
Category 2 | 34 (42%) | 54 (52%) | 88 (47%) | |
Category 3 | 34 (42%) | 47 (45%) | 81 (44%) | |
Dog ownership status | 0.298 | |||
Known | 47 (57%) | 62 (60%) | 109 (59%) | |
Own | 23 (28%) | 34 (33%) | 57 (31%) | |
Unknown | 12 (15%) | 8 (8%) | 20 (11%) | |
Vaccination status of biting animal | 0.399 | |||
Don’t know | 16 (20%) | 15 (14%) | 31 (17%) | |
Unvaccinated | 35 (43%) | 40 (39%) | 75 (40%) | |
Vaccinated | 31 (38%) | 49 (47%) | 80 (43%) | |
Fate of biting animal | 0.319 | |||
Alive | 58 (71%) | 70 (67%) | 128 (69%) | |
Dead | 5 (6%) | 9 (9%) | 14 (8%) | |
Don’t know | 16 (20%) | 15 (14%) | 31 (17%) | |
Killed | 3 (4%) | 10 (10%) | 13 (7%) |
1st Dose Essen Compliance | 2nd Dose Essen Compliance | 3rd Dose Essen Compliance | 4th Dose Compliance | 5th Dose Compliance | Completion of All Five Doses | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Parameter | OR | 95% CI | OR | 95% CI | OR | 95% CI | OR | 95% CI | OR | 95% CI | OR | 95% CI |
Cost of transport to health facility (USD) | 0.999 | 0.998–1.000 | ||||||||||
Family income per month | ||||||||||||
USD 100 | Reference category | Reference category | ||||||||||
>USD 100 | 3.167 * | 1.645–6.174 | 2.382 | 0.998–6.186 | ||||||||
Study group | ||||||||||||
Control group | Reference category | Reference category | Reference category | Reference category | Reference category | |||||||
Intervention group | 4.003 * | 1.327–15.314 | 3.974 * | 1.386–14.385 | 2.708 * | 1.091–7.306 | 6.806 * | 2.493–21.521 | 3.371 * | 1.278–10.202 | ||
Category of bite | ||||||||||||
Category 1 | Reference category | Reference category | Reference category | Reference category | Reference category | |||||||
Category 2 | 0.513 | 0.026–3.426 | 5.228 | 0.988–29.066 | 3.635 | 0.826–16.115 | 2.262 | 0.359–10.313 | 0.296 | 0.015–1.840 | ||
Category 3 | 3.309 | 0.149–32.255 | 9.615 * | 1.738–56.816 | 7.620 * | 1.651–36.370 | 8.393 * | 1.293–51.208 | 0.954 | 0.047–6.605 | ||
Gender of bite patient | ||||||||||||
Female | Reference category | Reference category | Reference category | |||||||||
Male | 0.270 * | 0.092–0.692 | 0.360 * | 0.149–0.821 | 2.952 * | 1.242–7.391 | ||||||
Age of bite patient | 0.986 | 0.966–1.005 | 0.976 * | 0.953–0.998 | ||||||||
Ownership status of biting dog | ||||||||||||
Known | Reference category | |||||||||||
Unknown | 6.512 | 1.053–58.337 | ||||||||||
Fate of biting animal | ||||||||||||
Alive | Reference category | |||||||||||
Dead | 3.411 | 0.710–25.638 | ||||||||||
Unknown | 0.414 | 0.094–1.739 |
Treatment Group (n = 82) | Control Group (n = 104) | Total (N = 186) | p Value | |
---|---|---|---|---|
Amount spent on PEP (USD) | 0.086 | |||
Mean (SD) | 3 (9) | 1 (5) | 2 (7) | |
Range | 0–39 | 0–42 | 0–42 | |
Source of money for PEP † | 0.272 | |||
Borrowed | 12 (15%) | 14 (13%) | 26 (14%) | |
Loan | 3 (4%) | 7 (7%) | 10 (5%) | |
Own savings/income | 58 (71%) | 82 (79%) | 140 (75%) | |
Sold an item | 18 (22%) | 23 (22%) | 41 (22%) | |
PEP doses completed | 76 (93%) | 81 (78%) | 157 (84%) | 0.022 |
PEP doses taken on time | ||||
First dose | 25 (31%) | 34 (33%) | 59 (32%) | 0.748 |
Second dose | 76 (95%) | 82 (82%) | 158 (88%) | 0.008 |
Third dose | 71 (91%) | 74 (77%) | 145 (83%) | 0.014 |
Fourth dose | 65 (84%) | 67 (74%) | 132 (79%) | 0.089 |
Fifth dose | 55 (86%) | 42 (60%) | 97 (72%) | <0.001 |
Reason for not completing PEP † | n = 7 | n = 23 | n = 30 | 0.146 |
Biting dog was alive | 2 (29%) | 3 (13%) | 5 (17%) | |
Forgot | 0 (0%) | 7 (30%) | 7 (23%) | |
Lack of funds | 2 (29%) | 7 (30%) | 9 (30%) | |
No reason | 1 (14%) | 1 (4%) | 2 (7%) | |
PEP not available | 3 (43%) | 2 (9%) | 5 (17%) | |
Preoccupied | 1 (14%) | 3 (13%) | 4 (13%) | |
Wound healed | 0 (0.0%) | 1 (4%) | 1 (3%) |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Chuchu, V.M.; Mutono, N.; Bichanga, P.; Kitala, P.M.; Ksee, D.; Muturi, M.; Mwatondo, A.; Nasimiyu, C.; Akunga, L.; Amiche, A.; et al. Effect of Phone Text Message Reminders on Compliance with Rabies Post-Exposure Prophylaxis following Dog Bites in Rural Kenya. Vaccines 2023, 11, 1112. https://doi.org/10.3390/vaccines11061112
Chuchu VM, Mutono N, Bichanga P, Kitala PM, Ksee D, Muturi M, Mwatondo A, Nasimiyu C, Akunga L, Amiche A, et al. Effect of Phone Text Message Reminders on Compliance with Rabies Post-Exposure Prophylaxis following Dog Bites in Rural Kenya. Vaccines. 2023; 11(6):1112. https://doi.org/10.3390/vaccines11061112
Chicago/Turabian StyleChuchu, Veronicah M., Nyamai Mutono, Philet Bichanga, Philip M. Kitala, Daniel Ksee, Mathew Muturi, Athman Mwatondo, Carolyne Nasimiyu, Lawrence Akunga, Amine Amiche, and et al. 2023. "Effect of Phone Text Message Reminders on Compliance with Rabies Post-Exposure Prophylaxis following Dog Bites in Rural Kenya" Vaccines 11, no. 6: 1112. https://doi.org/10.3390/vaccines11061112
APA StyleChuchu, V. M., Mutono, N., Bichanga, P., Kitala, P. M., Ksee, D., Muturi, M., Mwatondo, A., Nasimiyu, C., Akunga, L., Amiche, A., Hampson, K., & Thumbi, S. M. (2023). Effect of Phone Text Message Reminders on Compliance with Rabies Post-Exposure Prophylaxis following Dog Bites in Rural Kenya. Vaccines, 11(6), 1112. https://doi.org/10.3390/vaccines11061112