Problem-solving for problem-solving: Data analytics to identify families for service intervention

The article draws on Bacchi’s ideas about problematisation (2020) and links to technological solutionism as governing logics of our age, to explore the double-faceted problem-solving logic operating in the UK family policy and early intervention field. Families with certain characteristics are identified as problematic, and local authorities are tasked with intervening to fix that social problem. Local authorities thus need to identify these families for problem-solving intervention, and data analytics companies will solve that problem for them. In the article, we identify discourses of transmitted deprivation and anti-social behaviour in families and the accompanying costly public sector burden as characteristics that produce families as social problems, and discursive themes around delivering powerful knowledge, timeliness and economic efficiently in data analytic companies’ problem solving claims for their data linkage and predictive analytics systems. These discursive rationales undergird the double-faceted problem-solving for problem-solving logic that directs attention away from complex structural causes.

The Effects of COVID-19 on Cancer Care Provision: A Systematic Review

This systematic review aims to gather primary data from cancer institutions that have implemented changes to cancer service provision amid the COVID-19 outbreak to inform future intervention and health care facility response strategies. A comprehensive literature search was done on Global Health Medline and EMBASE using pertinent key words and MeSH terms relating to COVID-19 and Cancer service provision. A total of 72 articles were selected for inclusion in this systematic review. Following the narrative synthesis that was conducted of the literature, 6 core themes that encompassed common cancer service intervention adopted by institutions were identified: (1) Testing and Tracking, (2) Outreach and Communication, (3) Protection, (4) Social Distancing (5) Treatment Management, (6) Service Restructuring. Since cancer patients are a high-risk population amid the COVID-19 pandemic, these areas of targeted intervention can be used to inform necessary actions in institutions facing similar risks, based on previous learning from numerous cancer centers globally.

High-Level Design and Rapid Implementation of a Clinical and Non-clinical Blockchain-Based Data Sharing Platform for COVID-19 Containment

As the world has moved toward rigorous containment measures due to the spread of a novel coronavirus, it is crucial to push the boundaries of clinical data obtaining methods using real-time capturing facilities. During this time of crisis, data-centric technologies that could provide authenticity and immediate access to patient data are essential. A blockchain-based digital health protocol for access to real-time data with user-centric data protection measures can achieve these aims. Immediate and secure access to biomedical data can provide credible insights and also help in discovering intelligence to expediate the development of effective therapeutics. It also aids in altering policies for restrictions by extracting key insights required for modeling studies. This paper delivers a high-level design of a blockchain-based clinical research data collection and health service intervention platform, where the users can exercise control of data. This application also provides a platform to deliver technology-based interventions which would assist in streamlining aid for vulnerable users to prevent the NHS from being overwhelmed. Further steps are also recommended to achieve a data compliant solution for rapid deployment, based on available resources, allowing a collaborative effort, which is extremely necessary at times of such crisis.

Impact of Pharmacist Intervention on Medication Adherence and Patient-Reported Outcomes among Depressed Patients in a Private Psychiatric Hospital of Nepal: a randomised controlled trial

Aim: We aimed to evaluate the impact of pharmaceutical service intervention on medication adherence and patient-reported outcomes among patients diagnosed with depression in a private psychiatric hospital in Nepal. Methods: A single-center, open trial with a parallel design was conducted among 18 to 65 years aged patients, diagnosed with depression and under antidepressant medication(s) for ≥2 months. Patients were randomised into either the intervention or control group. The control group (n = 98) received the usual care, while the intervention group (n = 98) received a pharmaceutical service intervention. The two groups were compared using the Mann-Whitney U test, independent t-test, or chi-square test at 2 and 4 months for changes in medication adherence and patient-reported [severity of depression and health-related quality of life (HRQoL)] outcomes. Results: One hundred ninety adult patients were enrolled in the study. At baseline, there were no significant differences in any of the outcome measures between the intervention and control groups. At 2 and 4 months, the intervention group had a significant improvement only in medication adherence ( P < .001) compared with the control group [MGL score: 1 (2) vs 2 (2) and 1 (1) vs 2 (1), P < .001, respectively]. Conclusion: Our study suggests that a brief pharmaceutical service intervention in the hospital setting can have a significant impact on patients’ adherence to antidepressants but does not improve their severity of depression and HRQoL.