Effectiveness of a multifaceted prevention programme for melioidosis in diabetics (PREMEL): A stepped-wedge cluster-randomised controlled trial

Pornpan Suntornsut, Prapit Teparrukkul, Gumphol Wongsuvan, Wipada Chaowagul, Susan Michie, Nicholas P J Day, Direk Limmathurotsakul, Pornpan Suntornsut, Prapit Teparrukkul, Gumphol Wongsuvan, Wipada Chaowagul, Susan Michie, Nicholas P J Day, Direk Limmathurotsakul

Abstract

Background: Melioidosis, an often-fatal infectious disease caused by the environmental Gram-negative bacillus Burkholderia pseudomallei, is endemic in tropical countries. Diabetes mellitus and environmental exposure are important risk factors for melioidosis acquisition. We aim to evaluate the effectiveness of a multifaceted prevention programme for melioidosis in diabetics in northeast Thailand.

Methodology/principal findings: From April 2014 to December 2018, we conducted a stepped-wedge cluster-randomized controlled behaviour change trial in 116 primary care units (PCUs) in Ubon Ratchathani province, northeast Thailand. The intervention was a behavioural support group session to help diabetic patients adopt recommended behaviours, including wearing rubber boots and drinking boiled water. We randomly allocated the PCUs to receive the intervention starting in March 2016, 2017 and 2018. All diabetic patients were contacted by phone yearly, and the final follow-up was December 2018. Two primary outcomes were hospital admissions involving infectious diseases and culture-confirmed melioidosis. Of 9,056 diabetics enrolled, 6,544 (72%) received a behavioural support group session. During 38,457 person-years of follow-up, we observed 2,195 (24%) patients having 3,335 hospital admissions involved infectious diseases, 80 (0.8%) melioidosis, and 485 (5%) deaths. In the intention-to-treat analysis, implementation of the intervention was not associated with primary outcomes. In the per-protocol analysis, patients who received a behavioural support group session had lower incidence rates of hospital admissions involving infectious diseases (incidence rate ratio [IRR] 0.89; 95%CI 0.80-0.99, p = 0.03) and of all-cause mortality (IRR 0.54; 95%CI 0.43-0.68, p<0.001). However, the incidence rate of culture-confirmed melioidosis was not significantly lower (IRR 0.96, 95%CI 0.46-1.99, p = 0.66).

Conclusions/significance: Clear benefits of this multifaceted prevention programme for melioidosis were not observed. More compelling invitations for the intervention, modification of or addition to the behaviour change techniques used, and more frequent intervention may be needed.

Trial registration: This trial is registered with ClinicalTrials.gov, number NCT02089152.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1. Trial profile.
Fig 1. Trial profile.
Fig 2. Schematic of the PREMEL stepped-wedge…
Fig 2. Schematic of the PREMEL stepped-wedge cluster-randomised controlled trial.
PREMEL = multifaceted PREvention programme of MELioidosis in diabetics. No group received the intervention at baseline. Period 1 was the enrollment period, and period 2 was the baseline period. Clusters were randomly assigned to three groups that crossover to receive the intervention in March 2016, 2017 and 2018. Participants (diabetic patients enrolled) in each cluster group received a multi-faceted prevention programme once from March to July 2016, 2017 and 2018, respectively.

References

    1. Wiersinga WJ, Virk HS, Torres AG, Currie BJ, Peacock SJ, Dance DAB, et al.. Melioidosis. Nat Rev Dis Primers. 2018;4:17107. doi: 10.1038/nrdp.2017.107
    1. Hantrakun V, Kongyu S, Klaytong P, Rongsumlee S, Day NPJ, Peacock SJ, et al.. Clinical epidemiology of 7126 Melioidosis patients in Thailand and the implications for a National Notifiable Diseases Surveillance System. Open Forum Infect Dis. 2019;6(12):ofz498. doi: 10.1093/ofid/ofz498
    1. Currie BJ, Ward L, Cheng AC. The epidemiology and clinical spectrum of melioidosis: 540 cases from the 20 year Darwin prospective study. PLoS Negl Trop Dis. 2010;4(11):e900. doi: 10.1371/journal.pntd.0000900
    1. Mukhopadhyay C, Shaw T, Varghese GM, Dance DAB. Melioidosis in South Asia (India, Nepal, Pakistan, Bhutan and Afghanistan). Trop Med Infect Dis. 2018;3(2). doi: 10.3390/tropicalmed3020051
    1. Steinmetz I, Wagner GE, Kanyala E, Sawadogo M, Soumeya H, Teferi M, et al.. Melioidosis in Africa: time to uncover the true disease load. Trop Med Infect Dis. 2018;3(2). doi: 10.3390/tropicalmed3020062
    1. Sanchez-Villamil JI, Torres AG. Melioidosis in Mexico, Central America, and the Caribbean. Trop Med Infect Dis. 2018;3(1). doi: 10.3390/tropicalmed3010024
    1. Torres AG, Montufar FE, Gee JE, Hoffmaster AR, Elrod MG, Duarte-Valderrama C, et al.. Melioidosis is in the Americas: A call to action for diagnosing and treating the disease. Am J Trop Med Hyg. 2018;99(3):563–4. doi: 10.4269/ajtmh.18-0418
    1. Limmathurotsakul D, Golding N, Dance DA, Messina JP, Pigott DM, Moyes CL, et al.. Predicted global distribution of Burkholderia pseudomallei and burden of melioidosis. Nat Microbiol. 2016;1:15008. doi: 10.1038/nmicrobiol.2015.8
    1. Currie BJ, Jacups SP, Cheng AC, Fisher DA, Anstey NM, Huffam SE, et al.. Melioidosis epidemiology and risk factors from a prospective whole-population study in northern Australia. Trop Med Int Health. 2004;9(11):1167–74. doi: 10.1111/j.1365-3156.2004.01328.x
    1. Limmathurotsakul D, Wongratanacheewin S, Teerawattanasook N, Wongsuvan G, Chaisuksant S, Chetchotisakd P, et al.. Increasing incidence of human melioidosis in Northeast Thailand. Am J Trop Med Hyg. 2010;82(6):1113–7. doi: 10.4269/ajtmh.2010.10-0038
    1. Limmathurotsakul D, Kanoksil M, Wuthiekanun V, Kitphati R, deStavola B, Day NP, et al.. Activities of daily living associated with acquisition of melioidosis in northeast Thailand: a matched case-control study. PLoS Negl Trop Dis. 2013;7(2):e2072. doi: 10.1371/journal.pntd.0002072
    1. Cane J, O’Connor D, Michie S. Validation of the theoretical domains framework for use in behaviour change and implementation research. Implementation science: IS. 2012;7:37. doi: 10.1186/1748-5908-7-37
    1. Mazza D, Chapman A, Michie S. Barriers to the implementation of preconception care guidelines as perceived by general practitioners: a qualitative study. BMC health services research. 2013;13:36. doi: 10.1186/1472-6963-13-36
    1. Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011;6:42. doi: 10.1186/1748-5908-6-42
    1. Michie S, Atkins L, West R. The Behaviour Change Wheel: a guide to designing Interventions. London: Silverback; 2014.
    1. Suntornsut P, Wongsuwan N, Malasit M, Kitphati R, Michie S, Peacock SJ, et al.. Barriers and recommended interventions to prevent melioidosis in Northeast Thailand: a focus group study using the behaviour change wheel. PLoS Negl Trop Dis. 2016;10(7):e0004823. doi: 10.1371/journal.pntd.0004823
    1. Suntornsut P, Chaowagul W, Thongklang W, Phosri T, Day NPJ, Michie S, et al.. Feasibility and initial outcomes of a multifaceted prevention programme of melioidosis in diabetic patients in Ubon Ratchathani, northeast Thailand. PLoS Negl Trop Dis. 2018;12(9):e0006765. doi: 10.1371/journal.pntd.0006765
    1. Strategy and Planning Division, Ministry of Public Health, Thailand. International Statistical Classification of Diseases and Relate Health Problems, 10th Revision, Thailand Modification 2016.
    1. Tatsanavivat P, Thavornpitak Y, Pongchaiyakul C. Comparative effectiveness of three national healthcare schemes in Thailand: in-hospital medical expenses for diabetes and hypertension in 2010. J Med Assoc Thai. 2012;95 Suppl 7:S254–61.
    1. Promprasert W, Upakdee N, Pannarunothai S. Hospitalizations of diabetes ambulatory care sensitive condition—universal coverage scheme at a referral hospital in Bangkok, Thailand: five-year cross-sectional study. J Med Assoc Thai. 2016;99(8):949–55.
    1. Hemming K, Taljaard M, Forbes A. Analysis of cluster randomised stepped wedge trials with repeated cross-sectional samples. Trials. 2017;18(1):101. doi: 10.1186/s13063-017-1833-7
    1. Hemming K, Haines TP, Chilton PJ, Girling AJ, Lilford RJ. The stepped wedge cluster randomised trial: rationale, design, analysis, and reporting. BMJ. 2015;350:h391. doi: 10.1136/bmj.h391
    1. Tino S, Wekesa C, Kamacooko O, Makhoba A, Mwebaze R, Bengo S, et al.. Predictors of loss to follow up among patients with type 2 diabetes mellitus attending a private not for profit urban diabetes clinic in Uganda—a descriptive retrospective study. BMC Health Serv Res. 2019;19(1):598. doi: 10.1186/s12913-019-4415-4
    1. Low SK, Khoo JK, Tavintharan S, Lim SC, Sum CF. Missed appointments at a diabetes centre: not a small problem. Ann Acad Med Singapore. 2016;45(1):1–5.
    1. Shivashankar R, Kirk K, Kim WC, Rouse C, Tandon N, Narayan KM, et al.. Quality of diabetes care in low- and middle-income Asian and Middle Eastern countries (1993–2012): 20-year systematic review. Diabetes Res Clin Pract. 2015;107(2):203–23. doi: 10.1016/j.diabres.2014.11.004
    1. Funnell MM, Brown TL, Childs BP, Haas LB, Hosey GM, Jensen B, et al.. National standards for diabetes self-management education. Diabetes Care. 2010;33 Suppl 1:S89–96. doi: 10.2337/dc10-S089
    1. Arnold LW, Wang Z. The HbA1c and all-cause mortality relationship in patients with type 2 diabetes is J-shaped: a meta-analysis of observational studies. Rev Diabet Stud. 2014;11(2):138–52. doi: 10.1900/RDS.2014.11.138
    1. Bertoni AG, Saydah S, Brancati FL. Diabetes and the risk of infection-related mortality in the U.S. Diabetes Care. 2001;24(6):1044–9. doi: 10.2337/diacare.24.6.1044
    1. Critchley JA, Carey IM, Harris T, DeWilde S, Hosking FJ, Cook DG. Glycemic Control and Risk of Infections Among People With Type 1 or Type 2 Diabetes in a Large Primary Care Cohort Study. Diabetes Care. 2018;41(10):2127–35. doi: 10.2337/dc18-0287
    1. Rudd KE, Johnson SC, Agesa KM, Shackelford KA, Tsoi D, Kievlan DR, et al.. Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study. Lancet. 2020;395(10219):200–11. doi: 10.1016/S0140-6736(19)32989-7
    1. Reutrakul S, Deerochanawong C. Diabetes in Thailand: status and policy. Curr Diab Rep. 2016;16(3):28. doi: 10.1007/s11892-016-0725-7
    1. Majoni SW, Hughes JT, Heron B, Currie BJ. Trimethoprim+Sulfamethoxazole Reduces Rates of Melioidosis in High-Risk Hemodialysis Patients. Kidney Int Rep. 2018;3(1):160–7. doi: 10.1016/j.ekir.2017.09.005
    1. McRobb E, Kaestli M, Mayo M, Price EP, Sarovich DS, Godoy D, et al.. Melioidosis from contaminated bore water and successful UV sterilization. Am J Trop Med Hyg. 2013;89(2):367–8. doi: 10.4269/ajtmh.13-0101

Source: PubMed

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