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Research highlights that antipsychotic medications are prescribed more in people with Intellectual Disability (ID) without a diagnosis of severe mental illness. Despite non-pharmacological interventions recommended as alternatives, their application can be challenging due to heterogeneity of the patient group. The purpose of this paper is to discuss application of quality improvement (QI) methodology in adapting interventions, aiming to reduce challenging behaviour of people with ID, thereby reducing use of antipsychotic medication.

Two interventions were introduced as “tests of change”; an “Attention-Deficit Hyperactivity Disorder (ADHD) clinic” and “Positive Behaviour Support (PBS) clinic”. Process (Clinical Global Impression (CGI) and Modified Overt Aggression Scale (MOAS)) and outcome measures (total antipsychotic use) were used to assess the interventions, with each being reviewed as per QI methodology guidelines.

There was an improvement in CGI scores for both interventions. MOAS scores reduced for those attending the ADHD clinic, resulting in reductions of antipsychotic medication. MOAS scores did not reduce for the PBS clinic, so there was no reduction in medication for this group.

Based on the introduction of pilot clinics, this paper provides a commentary on how QI interventions can be used to evaluate and adapt evidence-based interventions, in managing the needs of patients with ID. It further highlights the importance of the diagnosis of ADHD in patients with ID and challenging behaviour. Although PBS is recommended to manage challenging behaviour, this paper demonstrates the importance of continuous evaluation of behavioural interventions. There is currently no existing literature investigating use of QI methodology to reduce challenging behaviour in ID populations, emphasising scope for future research and service evaluation.

The purpose of this study is to investigate the influence of credibility and information quality (IQ) of online food vloggers on consumer attitude and purchase intention towards street food consumption. It also examines the relationship between consumer attitude and purchase intention influenced by online food vlogger reviews in North India.

In order to evaluate the framework, primary data were gathered from 389 street food consumers located in Jammu, Chandigarh and Delhi – cities situated in northern India. The collected data were then subjected to analysis using the partial least squares-structural equation modeling (PLS-SEM) techniques.

The results indicate that the perceived value of street food, influenced by the credibility of food vloggers and the quality of information provided, has a positive impact on consumer attitude and purchase intention towards street food consumption. A positive impact of consumer attitude on the purchase and consumption of street food was also observed.

This research offers a thorough investigation into the elements that influence consumers' opinions regarding vloggers endorsements. The findings reveal that consumer's attitudes towards vloggers recommendations are mainly influenced by the quality of information provided, followed by credibility and the intention to make a purchase. Furthermore, this research is of significance to practitioners and academics interested in comprehending consumer behavior in the realms of tourism and food-related endeavors.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0158