Impact of Point-of-Care Rapid Diagnostic Tests on Antibiotic Prescription Among Patients Aged <18 Years in Primary Healthcare Settings in 2 Peri-Urban Districts in Ghana: Randomized Controlled Trial Results.

BACKGROUND: Inappropriate antibiotic prescriptions are a known driver of antimicrobial resistance in settings with limited diagnostic capacity. This study aimed to assess the impact of diagnostic algorithms incorporating rapid diagnostic tests on clinical outcomes and antibiotic prescriptions compared with standard-of-care practices, of acute febrile illness cases at outpatient clinics in Shai-Osudoku and Prampram districts in Ghana. METHODS: This was an open-label, centrally randomized controlled trial in 4 health facilities. Participants aged 6 months to <18 years of both sexes with acute febrile illness were randomized to receive a package of interventions to guide antibiotic prescriptions or standard care. Clinical outcomes were assessed on day 7. RESULTS: In total, 1512 patients were randomized to either the intervention (n = 761) or control (n = 751) group. Majority were children aged <5 years (1154 of 1512, 76.3%) and male (809 of 1512, 53.5%). There was 11% relative risk reduction of antibiotic prescription in intervention group (RR, 0.89; 95% CI, .79 to 1.01); 14% in children aged <5 years (RR, 0.86; 95% CI, .75 to .98), 15% in nonmalaria patients (RR, 0.85; 95% CI, .75 to .96), and 16% in patients with respiratory symptoms (RR, 0.84; 95% CI, .73 to .96). Almost all participants had favorable outcomes (759 of 761, 99.7% vs 747 of 751, 99.4%). CONCLUSIONS: In low- and middle-income countries, the combination of point-of-care diagnostics, diagnostic algorithms, and communication training can be used at the primary healthcare level to reduce antibiotic prescriptions among children with acute febrile illness, patients with nonmalarial fevers, and respiratory symptoms. CLINICAL TRIALS REGISTRATION: NCT04081051.

Viewpoint: Antimicrobial Resistance Diagnostics Use Accelerator: Qualitative Research on Adherence to Prescriptions.

In this Viewpoint, the authors explore the determinants of patients' prescription adherence behaviors as part of FIND's Advancing Access to Diagnostic Innovation essential for Universal Health Coverage and AMR Prevention (ADIP) trials (ClinicalTrials.gov identifier: NCT04081051). Research findings from Burkina Faso, Ghana, and Uganda show that basic knowledge and understanding of prescription instructions are essential for adherence and can be improved through better communication. However, there are a range of other factors that influence adherence, some of which can be influenced through tailored communication messages from healthcare workers. These messages may contribute to changes in adherence behavior but may require other reinforcing interventions to be effective. Finally, there are some drivers of nonadherence centered around costs and time pressure that require other forms of intervention.

Understanding Health Worker and Community Antibiotic Prescription-Adherence Practices for Acute Febrile Illness: A Nested Qualitative Study in the Shai-Osudoku District of Ghana and the Development of a Training-and-Communication Intervention.

BACKGROUND: The aim was to explore behavioral factors relating to the prescription and communication of prescription-adherence messages for patients with acute febrile illness, from which to develop a training-and-communication (T&C) intervention to be delivered as part of a clinical trial. METHODS: The study undertook a content analysis of primary, qualitative data collection using in-depth interviews and focus group discussions, informed by the Capability, Opportunity, Motivation (COM-B) theory of behavior, the Theoretical Domains Framework (TDF), and Behavior Change Wheel (BCW) approach, in health facilities (39 health workers) and communities (66 community members) in the Shai-Osudoku District of Ghana. RESULTS: Health workers perceive that prescribers' and dispensers' communication with patients is influenced by the following factors: patient's educational level, existing disease conditions, health worker's workload, patient's religion, language barrier between health worker and patient, outcome of laboratory results, and medicine availability. Community members' adherence to prescription was influenced by the availability of money and affordability of medicine (outside of provision by the national health insurance scheme), the severity of the condition, work schedule, and forgetfulness. CONCLUSIONS: Our study contributes to knowledge on nesting qualitative methods in a clinical trial and reveals factors that affect the antibiotic prescription communication process. Tailored messages for patient-specific needs can shape antibiotic prescription adherence behavior and ultimately contribute to decreasing the incidence of antibiotic resistance.

Factors influencing the implementation of TB screening among PLHIV in selected HIV clinics in Ghana: a qualitative study.

BACKGROUND: Decreasing the burden of Tuberculosis (TB) among PLHIV through TB screening is an effective intervention recommended by the World Health Organization (WHO). However, after over a decade of implementation in Ghana, the intervention does not realize the expected outcomes. It is also not well understood whether this lack of success is due to implementation barriers. Our study, therefore, sought to examine the factors influencing the implementation of the intervention among people living with HIV (PLHIV) attending HIV clinics at district hospitals in Ghana. METHODS: This was a qualitative study conducted from 6th to 31 May 2019 in three regions of Ghana. We conducted 17 in-depth interviews (IDIs - comprising two regional, six districts and nine facility TB/HIV coordinators) and eight focus group discussions (FGD - consisting of a total of 65 participants) with HIV care providers. The Consolidated Framework for Implementation Research (CFIR) guided the design of interview guides, data collection and analysis. All responses were digitally audio-recorded and transcribed verbatim for coding and analysis using the Framework Approach. Participants consented to the interview and recording. RESULTS: The main barriers to TB screening relate to the low commitment of the implementers to screen for TB and limited facility infrastructure for the screening activities. Facilitators of TB screening include (1) ease in TB screening, (2) good communication and referral channels, (3) effective goals and feedback mechanisms, (4) health workers recognizing the need for the intervention and (5) the role of chemical sellers. CONCLUSIONS: Key barriers and facilitators to the intervention are revealed. The study has shown that there is a need to increase HIV care providers and institutional commitment towards TB screening interventions. In addition, cost issues need to be assessed as they are drivers of sustainability. Our study also advances the field of implementation science through CFIR to better understand the factors influencing the implementation.