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Using digital health to facilitate compliance with standardized pediatric cancer treatment guidelines in Tanzania: protocol for an early-stage effectiveness-implementation hybrid study.

ABSTRACT: BACKGROUND:In high-income countries (HICs), increased rates of survival among pediatric cancer patients are achieved through the use of protocol-driven treatment. Compared to HICs, differences in infrastructure, supportive care, and human resources, make compliance with protocol-driven treatment challenging in low- and middle-income countries (LMICs). For successful implementation of protocol-driven treatment, treatment protocols must be resource-adapted for the LMIC context, and additional supportive tools must be developed to promote protocol compliance. In Tanzania, an LMIC where resource-adapted treatment protocols are available, digital health applications could promote protocol compliance through incorporation of systematic decision support algorithms, reminders and alerts related to patient visits, and up-to-date data for care coordination. However, evidence on the use of digital health applications in improving compliance with protocol-driven treatment for pediatric cancer is limited. This study protocol describes the development and evaluation of a digital health application, called mNavigator, to facilitate compliance with protocol-driven treatment for pediatric cancer in Tanzania. METHODS:mNavigator is a digital case management system that incorporates nationally-approved and resource-adapted treatment protocols for two pediatric cancers in Tanzania, Burkitt lymphoma and retinoblastoma. mNavigator is developed from an open-source digital health platform, called CommCare, and guided by the Consolidated Framework for Implementation Research. From July 2019-July 2020 at Bugando Medical Centre in Mwanza, Tanzania, all new pediatric cancer patients will be registered and managed using mNavigator as the new standard of care for patient intake and outcome assessment. Pediatric cancer patients with a clinical diagnosis of Burkitt lymphoma or retinoblastoma will be approached for participation in the study evaluating mNavigator. mNavigator users will document pre-treatment and treatment details for study participants using digital forms and checklists that facilitate compliance with protocol-driven treatment. Compliance with treatment protocols using mNavigator will be compared to historical compliance rates as the primary outcome. Throughout the implementation period, we will document factors that facilitate or inhibit mNavigator implementation. DISCUSSION:Study findings will inform implementation and scale up of mNavigator in tertiary pediatric cancer facilities in Tanzania, with the goal of facilitating protocol-driven treatment. TRIAL REGISTRATION:The study protocol was registered in ClinicalTrials.gov (NCT03677128) on September 19, 2018.

SUBMITTER: Vasudevan L

PROVIDER: S-EPMC7104518 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Using digital health to facilitate compliance with standardized pediatric cancer treatment guidelines in Tanzania: protocol for an early-stage effectiveness-implementation hybrid study.

Vasudevan Lavanya L Schroeder Kristin K Raveendran Yadurshini Y Goel Kunal K Makarushka Christina C Masalu Nestory N Zullig Leah L LL

BMC cancer 20200329 1

<h4>Background</h4>In high-income countries (HICs), increased rates of survival among pediatric cancer patients are achieved through the use of protocol-driven treatment. Compared to HICs, differences in infrastructure, supportive care, and human resources, make compliance with protocol-driven treatment challenging in low- and middle-income countries (LMICs). For successful implementation of protocol-driven treatment, treatment protocols must be resource-adapted for the LMIC context, and additio ...[more]

PMID: 32223740

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Project description:BackgroundIncidence of breast cancer continues to rise in low- and middle-income countries, with data from the East African country of Tanzania predicting an 82% increase in breast cancer from 2017 to 2030. We aimed to characterize treatment pathways, receipt of therapies, and identify high-value interventions to increase concordance with international guidelines and avert unnecessary breast cancer deaths.MethodsPrimary data were extracted from medical charts of patients presenting to Bugando Medical Center, Tanzania, with breast concerns and suspected to have breast cancer. Clinicopathologic features were summarized with descriptive statistics. A Poisson model was utilized to estimate prevalence ratios for variables predicted to affect receipt of life-saving adjuvant therapies and completion of therapies. International and Tanzanian guidelines were compared to current care patterns in the domains of lymph node evaluation, metastases evaluation, histopathological diagnosis, and receptor testing to yield concordance scores and suggest future areas of focus.ResultsWe identified 164 patients treated for suspected breast cancer from April 2015-January 2019. Women were predominantly post-menopausal (43%) and without documented insurance (70%). Those with a confirmed histopathology diagnosis (69%) were 3 times more likely to receive adjuvant therapy (PrR [95% CI]: 3.0 [1.7-5.4]) and those documented to have insurance were 1.8 times more likely to complete adjuvant therapy (1.8 [1.0-3.2]). Out of 164 patients, 4% (n = 7) received concordant care based on the four evaluated management domains. The first most common reason for non-concordance was lack of hormone receptor testing as 91% (n = 144) of cases did not undergo this testing. The next reason was lack of lymph node evaluation (44% without axillary staging) followed by absence of abdominopelvic imaging in those with symptoms (35%) and lack of histopathological confirmation (31%).ConclusionsPatient-specific clinical data from Tanzania show limitations of current breast cancer management including axillary staging, receipt of formal diagnosis, lack of predictive biomarker testing, and low rates of adjuvant therapy completion. These findings highlight the need to adapt and adopt interventions to increase concordance with guidelines including improving capacity for pathology, developing complete staging pathways, and ensuring completion of prescribed adjuvant therapies.

Project description:IntroductionPaediatric antiretroviral therapy (ART) guidelines have been updated several times in recent years. We assessed implementation of ART guidelines among under-five children to inform the transition to universal paediatric ART in Tanzania.MethodsWe conducted a retrospective cohort analysis of infants (0 to 11 months) and children (12 to 59 months) enrolled between 2010 and 2012 using routinely collected data. Infants and children were initiated on ART according to the 2008 World Health Organization (WHO) recommendations/2009 Tanzania guidelines (universal ART for infants). Cumulative ART initiation incidence and correlates of ART initiation were examined using competing risk methods accounting for attrition (death or loss to follow-up). Kaplan-Meier methods and Cox regression models were used to examine attrition on ART and its correlates.ResultsA total of 1679 children were enrolled at 69 clinics: 469 (28%) infants and 1210 (74%) children. Infant cumulative ART initiation incidence was 59.6, 71.3 and 78.0% at one, three and six months of follow-up. Infants were more likely to start ART if enrolled in 2012 [adjusted sub-hazard ratio (AsHR)=2.2, 95% confidence interval (CI): 1.7 to 2.8] or 2011 (AsHR=1.8, 95% CI: 1.4 to 2.3) compared to 2010; they were more likely to start ART from prevention of mother-to-child HIV transmission (AsHR=1.6, 95% CI: 1.3 to 2.1) and inpatient wards (AsHR=1.5, 95% CI: 1.2 to 2.0) versus being enrolled from voluntary counselling and testing centres. Attrition at 12 months on ART was 33.9% and was more likely among infants with WHO Stage 4 [adjusted hazard ratio (AHR)=3.1. 95% CI: 1.8 to 5.2] and severe malnutrition (AHR=1.4, 95% CI: 1.0 to 1.9).Among 599 children eligible for ART at enrollment, cumulative ART initiation incidence was 51.8, 68.6 and 76.1% at one, three, and six months. Children were more likely to start ART if enrolled in 2012 (AsHR=1.8, 95% CI: 1.4 to 2.3) or 2011 (AsHR=1.5, 95% CI: 1.2 to 1.8) compared to 2010; they were more likely to start ART at primary health facilities (AsHR=1.5, 95% CI: 1.1 to 2.0) and less likely at urban facilities (AsHR=0.6, 95% CI: 0.5 to 0.9) and facilities without CD4 testing on site (AsHR=0.7, 95% CI: 0.5 to 0.9). Attrition at 12 months on ART was 23.1% and was more likely with severe malnutrition (AHR=1.8, 95% CI: 1.1 to 3.0), WHO Stage 4 (AHR=3.0, 95% CI: 1.0 to 8.5) and outpatient enrolees (AHR=1.7, 95% CI: 1.1 to 2.7).ConclusionsOur findings suggest the gradual adoption of guidelines over calendar time. Interventions to expedite ART initiation and support retention on ART are needed.

Project description:BackgroundInsomnia affects almost one in four military service members and veterans. The first-line recommended treatment for insomnia is cognitive-behavioral therapy for insomnia (CBTI). CBTI is typically delivered in-person or online over one-to-four sessions (brief versions) or five-to-eight sessions (standard versions) by a licensed doctoral or masters-level clinician with extensive training in behavioral sleep medicine. Despite its effectiveness, CBTI has limited scalability. Three main factors inhibit access to and delivery of CBTI including restricted availability of clinical expertise; rigid, resource-intensive treatment formats; and limited capacities for just-in-time monitoring and treatment personalization. Digital technologies offer a unique opportunity to overcome these challenges by providing scalable, personalized, resource-sensitive, adaptive, and cost-effective approaches for evidence-based insomnia treatment.MethodsThis is a hybrid type 3 implementation-effectiveness randomized trial using a scalable evidence-based digital health software platform, NOCTEM™'s Clinician-Operated Assistive Sleep Technology (COAST™). COAST includes a clinician portal and a patient app, and it utilizes algorithms that facilitate detection of sleep disordered patterns, support clinical decision-making, and personalize sleep interventions. The first aim is to compare three clinician- and system-centered implementation strategies on the reach, adoption, and sustainability of the COAST digital platform by offering (1) COAST only, (2) COAST plus external facilitation (EF: assistance and consultation to providers by NOCTEM's sleep experts), or (3) COAST plus EF and internal facilitation (EF/IF: assistance/consultation to providers by NOCTEM's sleep experts and local champions). The second aim is to quantify improvements in insomnia among patients who receive behavioral sleep care via the COAST platform. We hypothesize that reach, adoption, and sustainability and the magnitude of improvements in insomnia will be superior in the EF and EF/IF groups relative to the COAST-only group.DiscussionDigital health technologies and machine learning-assisted clinical decision support tools have substantial potential for scaling access to insomnia treatment. This can augment the scalability and cost-effectiveness of CBTI without compromising patient outcomes. Engaging providers, stakeholders, patients, and decision-makers is key in identifying strategies to support the deployment of digital health technologies that can promote quality care and result in clinically meaningful sleep improvements, positive systemic change, and enhanced readiness and health among service members.Trial registrationClinicalTrials.gov NCT04366284 . Registered on 28 April 2020.

Dataset Information

Using digital health to facilitate compliance with standardized pediatric cancer treatment guidelines in Tanzania: protocol for an early-stage effectiveness-implementation hybrid study.

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Using digital health to facilitate compliance with standardized pediatric cancer treatment guidelines in Tanzania: protocol for an early-stage effectiveness-implementation hybrid study.

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