Process Evaluation of Pragmatic Cluster-Randomized Trials of Digital Adherence Technologies for Tuberculosis Treatment Support: A Mixed-Method Study in Five Countries

被引:0
|
作者
Madden, Norma [1 ]
Tadesse, Amare W. [2 ]
Leung, Chung Lam [1 ]
Tasca, Bianca Goncalves [1 ]
Alacapa, Jason [3 ]
Deyanova, Natasha [4 ]
Ndlovu, Nontobeko [5 ]
Mokone, Nontobeko [5 ]
Onjare, Baraka [6 ]
Mganga, Andrew [6 ]
van Kalmthout, Kristian [1 ]
Jerene, Degu [1 ]
Fielding, Katherine [2 ]
机构
[1] KNCV TB Fdn, Div TB Eliminat & Hlth Syst Innovat, NL-2516 AB The Hague, Netherlands
[2] London Sch Hyg & Trop Med, Infect Dis Epidemiol, London WC1E 7HT, England
[3] KNCV TB Fdn, Makati 1227, Philippines
[4] Org Appropriate Technol Hlth, UA-01033 Kiev, Ukraine
[5] Aurum Inst, ZA-2194 Johannesburg, South Africa
[6] KNCV TB Fdn, POB 11013, Dar Es Salaam, Tanzania
关键词
tuberculosis; digital adherence technology; treatment support; process evaluation; intervention fidelity; quality of implementation; intervention coverage; intervention reach; digital health;
D O I
10.3390/tropicalmed10030068
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Digital adherence technologies (DATs) could improve the person-centeredness of tuberculosis (TB) treatment. DATs are found to be acceptable, though evidence of their effectiveness is varied. Our objective was to understand the fidelity of DAT interventions within five cluster-randomized trials. Two DATs (smart pillbox, medication labels) were assessed, with real-time adherence data available to healthcare providers (HCPs) on a digital platform in Ethiopia, the Philippines, South Africa, Tanzania, and Ukraine. A framework assessed four components of implementation: inputs (training, support, mobile access), processes (SMS, home visits, platform usage), outputs (DAT engagement, manual dosing), and outcomes (people with TB (PwTB)-HCP relationship). Fidelity was evaluated by quantitative indicators, and content analysis of qualitative sub-studies supplemented some indicators. Engagement with DATs was high among PwTB. Pillbox users showed high levels of sustained engagement (box opening), with digitally recorded doses ranging from 82% to 91%. Differences were observed in login frequency by HCPs to the adherence platform. In Ethiopia, Tanzania, and Ukraine, there was at least one login to the platform on 71% of weekdays per facility compared with the Philippines and South Africa at 42% and 52%, respectively. Intervention fidelity varied among countries, suggesting a need for future work on optimizing implementation.
引用
收藏
页数:16
相关论文
共 33 条
  • [31] "Oh-oh, the others are standing up... I better do the same". Mixed-method evaluation of the implementation process of 'Take a Stand!' - a cluster randomized controlled trial of a multicomponent intervention to reduce sitting time among office workers
    Danquah, Ida H.
    Kloster, Stine
    Tolstrup, Janne S.
    BMC PUBLIC HEALTH, 2020, 20 (01)
  • [32] Adaptive evaluation of mHealth and conventional adherence support interventions to optimize outcomes with new treatment regimens for drug-resistant tuberculosis and HIV in South Africa (ADAP-TIV): study protocol for an adaptive randomized controlled trial
    Ross, Jesse
    Perumal, Rubeshan
    Wolf, Allison
    Zulu, Mbali
    Guzman, Kevin
    Seepamore, Boitumelo
    Reis, Karl
    Nyilana, Hlengiwe
    Hlathi, Senzo
    Narasimmulu, Radhamoney
    Cheung, Ying Kuen K.
    Amico, K. Rivet
    Friedland, Gerald
    Daftary, Amrita
    Zelnick, Jennifer R.
    Naidoo, Kogieleum
    O'Donnell, Max R.
    TRIALS, 2023, 24 (01)
  • [33] Adaptive evaluation of mHealth and conventional adherence support interventions to optimize outcomes with new treatment regimens for drug-resistant tuberculosis and HIV in South Africa (ADAP-TIV): study protocol for an adaptive randomized controlled trial
    Jesse Ross
    Rubeshan Perumal
    Allison Wolf
    Mbali Zulu
    Kevin Guzman
    Boitumelo Seepamore
    Karl Reis
    Hlengiwe Nyilana
    Senzo Hlathi
    Radhamoney Narasimmulu
    Ying Kuen K. Cheung
    K. Rivet Amico
    Gerald Friedland
    Amrita Daftary
    Jennifer R. Zelnick
    Kogieleum Naidoo
    Max R. O’Donnell
    Trials, 24