Use of the Theory of Planned Behaviour to assess factors influencing the identification of students at clinical high-risk for psychosis in 16+ Education

Understanding client engagement in digital mental health interventions: An investigation of the eTherapy Attitudes and Process Questionnaire

Aims

Digital mental health services may increase the accessibility and affordability of mental health treatments. However, client dropout a low use is often reported. The purpose of the current study was to investigate the structural validity of the e‐Therapy Attitudes and Process (eTAP) questionnaire, as a theoretically based (theory of planned behavior) tool for understanding ongoing client engagement intentions with digital mental health treatments. The possible role of eHealth literacy in predicting behavioral intentions to use digital mental health treatments was also examined.

Methods

Participants were 244 Australian‐based adults aged between 18 and 56 years, who were currently using a digital mental health tool. Data were collected via online survey.

Results

Confirmatory Factor Analysis was conducted, with good model fit obtained following two theoretically supported modifications. Moderated hierarchical regression supported the utility of the theory of planned behavior in predicting behavioral intentions, with attitudes emerging as a strong and consistent individual predictor. No support was found for the moderating role or individual significance of eHealth literacy.

Conclusions

These findings support the clinical and research use of the eTAP as a theory‐based measure to understand client engagement in digital mental health interventions. The study also highlights the need for interventions to target attitudes to improve clients' ongoing engagement in digital mental health.

A COVID-19 disruption: The great acceleration of digitally planned and transformed behaviors in Thailand

The Coronavirus Disease 2019 (COVID-19) pandemic has reshaped human behaviors and switched communication systems from face-to-face to digital communication technologies. This study aimed to examine how digital transformation practices affect human behavioral change digitally, and how perceived COVID-19 severity affects digital transformation practices and behavioral decisions. We use the traditional theory of planned behavior (TPB) to determine new behavioral roles in the digital era, namely digitally planned and transformed behavior. The quantitative survey method was designed to collect cross-sectional data from 550 Thai citizens to provide the conceptual evidence of key proximal measures of digital attitude, digital social norms, digital behavioral control perception, and the digital behavioral decision to predict digitally planned and transformed behavior. The results show that people are more likely to digitalize than before, which predicts the decision to behave digitally at 93.9% of the variability, more than 75% of the predictive power of the total variance suggested by Hair, Ringle, and Sarstedt [1]. However, the higher the COVID-19 severity, the more likely digital transformation is impactful (β = 0.481). This study provides interesting evidence that people struggle to transform their digital behavior during the pandemic. We demonstrate that digital transformation can offer the desired consequences by cultivating digital attitudes, promoting digital social norms, increasing digital behavioral control perception, and enhancing digital behavioral decisions.

Determination of pharmacy students' patient safety approach using the theory of planned behaviour: a mixed-method study

OBJECTIVES

To investigate pharmacy students' attitudes, subjective norms, perceived behavioural control, intentions and their behaviour towards patient safety using a theory of planned behaviour framework.

DESIGN

Mixed-methods research.

SETTING

Private university in Malaysia.

PARTICIPANTS

Pharmacy undergraduate students participated in the study. There were 18 students participated in the qualitative study and 272 students responded to the survey questionnaire.

METHODS

A convergent parallel-mixed method design, involving a quantitative survey and qualitative focus group discussions was used among pharmacy students in a private university in Malaysia. Qualitative data of transcribed verbatim texts were then subjected to a thematic content analysis framework. Multiple correlations were undertaken using the quantitative data to examine how the dependent variable (self-reported knowledge) related to the independent variables (attitudes, behavioural intentions, subjective norms, perceived behavioural control.

PRIMARY OUTCOME

Pharmacy students' attitudes, subjective norms, perceived behavioural control, behavioural intentions constructs led to their behaviour towards patient safety.

SECONDARY OUTCOME

The quantitative study revealed that there was a moderate positive correlation between students' self-reported knowledge and attitudes (r=0.48, p=0.03).

RESULTS

Pharmacy students' attitudes and perceived behavioural control constructs had positive correlations with pharmacy students' self-reported knowledge on patient safety. There was no correlation between students' self-reported knowledge and subjective norms (r=0.27, p=0.23). There was a weak positive correlation between students' self-reported knowledge and perceived behavioural control (r=0.39, p=0.04). There was no correlation between students' self-reported knowledge and behavioural intention (r=0.20, p=0.56).

CONCLUSIONS

Theory of planned behaviour constructs such as attitudes, subjective norms, perceived behavioural control and behavioural intentions of pharmacy students, defined their behaviour towards patient safety. Pharmacy students' attitudes and perceived behavioural control constructs were correlated with their self-reported knowledge on patient safety.

Social distancing intentions to reduce the spread of COVID-19: The extended theory of planned behavior

BACKGROUND

Due to the absence of a vaccine of SARS-CoV-2 virus pandemic, the most effective way to reduce transmission of the virus is by applying social distancing practices. Exploring factors that determine whether people adopt social distancing measures is, therefore, critical to reducing the spread of the virus. This study aimed to investigate people's intentions to socially distance based on the extended Theory of Planned Behavior.

METHODS

A questionnaire was distributed to the sample population and collected through social media online and WhatsApp groups from March 26, 2020 to March 29, 2020. There were 823 analyzed out of 1870 responses. The extended TPB variables and risk perception were measured using a 7-point scale (scored from 1 to 7). Data were analyzed using the partial least squares (PLS) structural equation modeling method.

RESULTS

Study found that the factors influencing the intention to perform social distancing were subjective norms and perceived behavior control. Risk perception affected attitudes, subjective norms, and perceived behavioral control. Media exposure was found to determine attitudes, subjective norms, and risk perceptions. The relationship between attitudes and intentions, and media use and perceived behavior control were not significant. The better and effective risk communication that can change the level of risk perception, raise family and religious leader as well as increase to control behavior are the keys to people's perform social distancing. Results from a multigroup analysis revealed that younger individuals showed a stronger relationship between the influence of risk perception and PBC and media use on risk perception. The predictive strength of subjective norms from risk perception and risk perception from media use was more strongly associated with rural populations.

CONCLUSIONS

The results of study provide an initial understanding of the level of the public's risk perception to reduce the spread of SARS-CoV-2. Findings also revealed the role of media use in determining risk perception, attitudes and subjective norms and, in turn, change people's intention to socially distance. This study may add to the literature of behavioral changes in pandemic and provide a framework for both policymakers and practitioners to formulate effective interventions in the future.

Application of the theory of planned behavior with agent-based modeling for sustainable management of vegetative filter strips

This study proposes an innovative socio-hydrological modeling framework for the development of environmental policies that are tailored to farmers' attitudes and economic interests but also optimize environmental criteria. From a farmers' on-site survey, a behavior model is developed based on a modified Theory of Planned Behavior (TPB). The dynamics of the social and environmental system is implemented by coupling an agent-based model (ABM) with an agro-hydrological model for vegetative filter strips (VFS). A case study is conducted with farmers from the Larqui river basin, Chile to understand their standpoint on VFS to reduce soil loss in their agricultural fields and protect water bodies. Partial least square structural equation modeling is used to analyze the survey on farmers' aspiration and attitudes. It showed that the constructs added to TPB (behavioral morality, behavioral willingness, knowledge) had a significant effect on modeling the intention and behavior of farmers to have VFS. Based on the survey, the farmers were categorized into perceptive, proactive, bounded rational and interactive agents. An ABM was developed using the behavioral categorization, related decision rules, and utility functions of agricultural activities including the VFS implementation and management. The results of the ABM corroborate with the survey of the farmers. The survey supports the view that the decision on the width of VFS is not solely dependent on the utility generated and the reduction in soil losses but also on the behavior of farmers. This behavioral sociohydrological modeling framework is capable of supporting policy-makers in developing tailored environmental policies that might improve the acceptance of sustainable agricultural practices by farmers.

Understanding causes of and developing effective interventions for schizophrenia and other psychoses

Background

Early-intervention services (EISs) offer prompt and effective care to individuals with first-episode psychosis (FEP) and detect people at high risk (HR) of developing it.

Aims

We aimed to educate general practitioners about psychosis and guide their referrals to specialist care; investigate determinants of the transition of HR to FEP; and predict numbers of new cases to guide policy and service planning.

Incidence of psychosis in socially and ethnically diverse settings

We studied the incidence of new referrals for psychosis in a well-established EIS called CAMEO [seewww.cameo.nhs.uk(accessed 18 January 2016)] and built on other epidemiological studies. The overall incidence of FEP was 45.1 per 100,000 person-years [95% confidence interval (CI) 40.8 to 49.9 per 100,000 person-years]. This was two to three times higher than the incidence predicated by the UK Department of Health. We found considerable psychosis morbidity in diverse, rural communities.

Development of a population-level prediction tool for the incidence of FEP

We developed and validated a population-level prediction tool, PsyMaptic, capable of accurately estimating the expected incidence of psychosis [seewww.psymaptic.org/(accessed 18 January 2016)].

The Liaison with Education and General practiceS (LEGS) trial to detect HR

We tested a theory-based intervention to improve detection and referral of HR individuals in a cluster randomised controlled trial involving primary care practices in Cambridgeshire and Peterborough. Consenting practices were randomly allocated to (1) low-intensity liaison with secondary care, a postal campaign to help with the identification and referral of individuals with early signs of psychosis, or (2) the high-intensity theory-based intervention, which, in addition to the postal campaign, included a specialist mental health professional to liaise with each practice. Practices that did not consent to be randomised included a practice-as-usual (PAU) group. The approaches were implemented over 2 years for each practice between April 2010 and October 2013. New referrals were stratified into those who met criteria for HR/FEP (together: psychosis true positives) and those who did not fulfil such criteria (false positives). The primary outcome was the number of HR referrals per practice. Referrals from PAU practices were also analysed. We quantified the cost-effectiveness of the interventions and PAU using the incremental cost per additional true positive identified. Of 104 eligible practices, 54 consented to be randomised. Twenty-eight practices were randomised to low-intensity liaison and 26 practices were randomised to the high-intensity intervention. Two high-intensity practices withdrew. High-intensity practices referred more HR [incidence rate ratio (IRR) 2.2, 95% CI 0.9 to 5.1;p = 0.08], FEP (IRR 1.9, 95% CI 1.05 to 3.4;p = 0.04) and true-positive (IRR 2.0, 95% CI 1.1 to 3.6;p = 0.02) cases. High-intensity practices also referred more false-positive cases (IRR 2.6, 95% CI 1.3 to 5.0;p = 0.005); most (68%) of these were referred on to appropriate services. The total costs per true-positive referral in high-intensity practices were lower than those in low-intensity or PAU practices. Increasing the resources aimed at managing the primary–secondary care interface provided clinical and economic value.

The Prospective Analysis of At-risk mental states and Transitions into psycHosis (PAATH) study

We aimed to identify the proportion of individuals at HR who make the transition into FEP and to elucidate the common characteristics that can help identify them. Sixty help-seeking HR individuals aged 16–35 years were stratified into those who met the criteria for HR/FEP (true positives) according to the Comprehensive Assessment of At-Risk Mental States (CAARMS) and those who did not (false positives). HR participants were followed up over 2 years using a comprehensive interview schedule. A random sample of 60 healthy volunteers (HVs) matched for age (16–35 years), sex and geographical area underwent the same battery of questionnaires. Only 5% of our HR sample transitioned to a structured clinical diagnosis of psychosis over 2 years. HR individuals had a higher prevalence of moderate or severe depression, anxiety and suicidality than HVs. In fact, psychometric analyses in other population samples indicate that psychotic experiences measure the severe end of a common mental distress factor, consistent with these results. HR individuals also experienced significantly more traumatic events than HVs, but equivalent distress. Almost half of HR individuals had at least one Schneiderian first-rank symptom traditionally considered indicative of schizophrenia and 21.6% had more than one. HR individuals had very poor global functioning and low quality of life.

Conclusions

This National Institute for Health Research programme developed our understanding of the social epidemiology of psychosis. A new theory-based intervention doubled the identification of HR and FEP in primary care and was cost-effective. The HR mental state has much in common with depression and anxiety; very few people transitioned to full psychosis over 2 years, in line with other recent evidence. This new understanding will help people at HR receive appropriate services focused on their current mental state.

Trial registration

The primary LEGS trial is registered as ISRCTN70185866 and UKCRN ID 7036. The PAATH study is registered as UKCRN ID 7798.

Funding

The National Institute for Health Research Programme Grants for Applied Research programme.