Objective: To assess the intervention fidelity and explore
contextual factors affecting the process of a mobile phone text messaging
intervention in improving adherence to and retention in care among
adolescents living with HIV, their families, and their healthcare
providers in southern Ethiopia. Design: A convergent mixed-methods design
guided by the process evaluation theoretical framework and the RE-AIM
framework was used alongside a randomised controlled trial to examine the
fidelity and explore the experiences of participants in the intervention.
Setting: Six hospitals and five health centres providing HIV treatment and
care to adolescents in five zones in southern Ethiopia. Participants:
adolescents (aged 10–19), their families and their healthcare providers.
Intervention: Mobile phone text messages daily for 6 months or standard
care (control). Results: 306 participants were enrolled in the process
evaluation. Among the intervention participants (N =153), 171 (55.9%) of
whom were men, most resided in an urban area 225 (73.5%), and participants
had a mean age of 15 (2.62). The overall experiences of implementing the
text messages reminder intervention were described as helpful in terms of
treatment support for adherence but had room for improvement. During the
study, 30,700 text messages were sent, and fidelity was high, with 99.4%
successfully receiving text messages during the intervention. Barriers
such as failed text messages delivery, limitations in phone ownership, and
technical limitations affected fidelity. Technical challenges can hinder
maintenance, but a belief in the future of digital communication permeates
the experiences of the text messages reminders. Conclusions: Overall
fidelity was high, and participants’ overall experiences of mobile phone
text messages were expressed as helpful. Contextual factors, such as local
telecommunications networks and local electric power, as well as technical
and individual factors must be considered when planning future
interventions. # Intervention fidelity and factors affecting the process of a mobile
phone text messaging intervention among adolescents living with HIV: A
convergent mixed-methods study in southern Ethiopia
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doi.org](
doi.org) We have submitted our raw data (Interventionfidelity_data.csv) ## Description of the data and file structure ID= study identification weight = weight of participants in kilograms (kg) height = height of participants in centimeter (cm) viral = viral load status of participants study_arm= participants enrolled as intervention arm antirethroviral_adherence= participants antiretroviral treatment adherence status dose_missed_six_months = number of drug missed prescribed for six months doze_per_month= number of drug missed in one month age = age of participants psycho_social_peer_support = participated in psycho social peer support group cotermoxiazol_preventive_theraphy_adherence = participants cotermoxiazol preventive theraphy adherence status functional_status = functional status of participants current_regimen = current regimen of participants Tuberculosis = tuberculosis treatment status of participants patient_provider_satisfaction = patient provider satisfaction of participants about treatment and care visit_frequency = visit frequency of participants satsfied_vist_schedule = participants satsfied with vist schedule ever_missed_apointment =participants appointment missing status transportation_cost = transportation cost of participants to visit facilities know_drug_name = participants know the name of the drugs taking know_pill_dose = participants know pill dose of the day drug_taking_morning_evening = participants taking treatment drug twice a day knows_instructions = participants know instructions to take drugs WHO_stage = participants WHO stage indications_Antiretroviral_theraphy = indications of patients for Antiretroviral treatment antiretro_viral_regimen_change = any change in Antiretroviral treatment regimen switch_2ndline_follow = any switch to second line treatment regimen antiretro_viral_dosage_adjustment_follow = dosage adjustment of the drugs miss_medication = missed to take prescribed drugs in scheduled period drug_morning_hour = participants receiving morning drugs pillcount_adherence = pill count adherence of participants ## Sharing/Access information This is a section for linking to other ways to access the data and for linking to sources the data is derived from, if any. Links to other publicly accessible locations of the data: no other sources * [no ](
http://.) data was derived from the following sources: * uploaded from personal computer ## Code/Software Stata/SPSS is required to run *the data*