Ways in which school psychologists can identify suitable apps for supporting the self-management of asthma by students

2020 ◽  
Vol 37 (1) ◽  
pp. 47-55 ◽  
Author(s):  
Brett E. Furlonger ◽  
Jasmine Chung ◽  
Marko Ostojic ◽  
Margherita Busacca ◽  
Dennis W. Moore ◽  
...  
Keyword(s):  
Health Information ◽  
School Psychologists ◽  
Behaviour Change ◽  
Management Practices ◽  
Selection Process ◽  
The Self ◽  
Self Management ◽  
Behaviour Change Techniques ◽  
Chronic Asthma ◽  
Quality Health

AbstractThe effective management of chronic asthma requires long-term adherence to both pharmacotherapy and optimal self-management practices. The use of mobile applications (apps) offer a promising and cost-effective platform to support the self-management of asthma. However, students as consumers may not always be sufficiently knowledgeable to select the best app to link with the management of their condition. If school psychologists become familiar with apps, they may be better positioned to provide guidance to students about app selection and how to identify apps that include appropriate behaviour change techniques (BCT). Accordingly, the overall aim of this study was to present a method by which school psychologists could identify quality apps for the purpose of supporting students who need to self-manage chronic asthma. A directed content analysis was used to evaluate asthma apps, based on behaviour change content and app quality. A systematic selection process yielded a total of 36 apps (26 from iTunes, 12 from Google Play) that were evaluated using two published rating measures. Overall, apps contained limited BCTs and a low level of quality health information. Conversely, apps with higher quality health information utilised a larger range of BCTs than lower quality apps. It was concluded that while apps designed to support the management of asthma appear to be a potentially valuable addition to traditional interventions, the technology is still in its infancy, and school psychologists should be aware of the limited behaviour change content, age appropriateness of apps, and whether the health information provided is evidence-based.

A Framework to Assist School Psychologists and Counsellors in Recommending Quality Apps for Supporting Diabetes Self-Management: An Illustrative Assessment Using Content Analysis

2018 ◽  
Vol 29 (01) ◽  
pp. 82-97
Author(s):  
Brett Furlonger ◽  
Marko Ostojic ◽  
Jasmine Chung ◽  
Katrina Philips ◽  
Margherita Busacca ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Content Analysis ◽  
School Psychologists ◽  
Behaviour Change ◽  
Mental Health Professionals ◽  
The Self ◽  
Self Management ◽  
Behaviour Change Techniques ◽  
Change Strategies

A framework was examined to assist school psychologists and counsellors in recommending quality apps for supporting diabetes self-management. A content analysis was undertaken to assess behaviour change strategies in Apple and Android smartphone apps for the self-management of type 2 diabetes. The Behaviour Change Technique Taxonomy was used to assess the presence of behaviour change strategies, while the Mobile App Rating Scale was used to assess overall app quality. Raters found, on average, 7.13 behaviour change techniques out of a possible 93, indicating few behaviour change techniques in apps for the self-management of Type 2 diabetes. Analysis indicated that apps of a higher overall quality tended to incorporate more behaviour change strategies. It was concluded that mental-health professionals are advantaged if they are able to assess and refine selection tools for matching apps with the needs of students with diabetes.

scholarly journals Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project

Obesity Facts ◽  
2021 ◽  
pp. 1-14
Author(s):  
R. James Stubbs ◽  
Cristiana Duarte ◽  
António L. Palmeira ◽  
Falko F. Sniehotta ◽  
Graham Horgan ◽  
...  
Keyword(s):  
Weight Loss ◽  
Behaviour Change ◽  
Digital Health ◽  
Self Regulation ◽  
Self Management ◽  
Behaviour Change Techniques ◽  
Evidence Based ◽  
Behavioural Science ◽  
Digital Architecture

<b><i>Background:</i></b> Effective interventions and commercial programmes for weight loss (WL) are widely available, but most people regain weight. Few effective WL maintenance (WLM) solutions exist. The most promising evidence-based behaviour change techniques for WLM are self-monitoring, goal setting, action planning and control, building self-efficacy, and techniques that promote autonomous motivation (e.g., provide choice). Stress management and emotion regulation techniques show potential for prevention of relapse and weight regain. Digital technologies (including networked-wireless tracking technologies, online tools and smartphone apps, multimedia resources, and internet-based support) offer attractive tools for teaching and supporting long-term behaviour change techniques. However, many digital offerings for weight management tend not to include evidence-based content and the evidence base is still limited. <b><i>The Project:</i></b> First, the project examined why, when, and how many European citizens make WL and WLM attempts and how successful they are. Second, the project employed the most up-to-date behavioural science research to develop a digital toolkit for WLM based on 2 key conditions, i.e., self-management (self-regulation and motivation) of behaviour and self-management of emotional responses for WLM. Then, the NoHoW trial tested the efficacy of this digital toolkit in adults who achieved clinically significant (≥5%) WL in the previous 12 months (initial BMI ≥25). The primary outcome was change in weight (kg) at 12 months from baseline. Secondary outcomes included biological, psychological, and behavioural moderators and mediators of long-term energy balance (EB) behaviours, and user experience, acceptability, and cost-effectiveness. <b><i>Impact:</i></b> The project will directly feed results from studies on European consumer behaviour, design and evaluation of digital toolkits self-management of EB behaviours into development of new products and services for WLM and digital health. The project has developed a framework and digital architecture for interventions in the context of EB tracking and will generate results that will help inform the next generation of personalised interventions for effective self-management of weight and health.

scholarly journals Factors associated with the self-management practices of Type 2 diabetes among the middle-aged population of rural area of Pakistan

2019 ◽  
Author(s):  
Rashid M Ansari ◽  
Mark Harris ◽  
Hassan Hosseinzadeh ◽  
Nicholas Zwar
Keyword(s):  
Type 2 Diabetes ◽  
Rural Area ◽  
Management Practices ◽  
The Self ◽  
Self Management ◽  
Medical Clinic ◽  
Middle Aged ◽  
Aged Population ◽  
Factors Associated

Abstract Background: This study is aimed at identifying the factors associated with the self-management practices of type 2 diabetes among the middle-aged population of rural area of Pakistan. . Methods: The sample of participants was purposively recruited from the medical clinic of rural area of Pakistan. The participants (n=200) recruited were asked to complete the questionnaire following their informed consents. The study questionnaire consisted of three main sections: socio-demographics, the Urdu-version of Summary of Diabetes Self-care Activities (U-SDSCA), and the extended version of U-SDSCA. In addition, glycosylated hemoglobin (HbA1c) level results were obtained from the medical clinic. The study explored the factors associated with the self-management practices of type 2 diabetes among the middle-aged population of rural area of Pakistan. Results: The current study has demonstrated that self-management activities level among the patients of type 2 diabetes in the rural area of Pakistan was not achieved in majority of patients, and that glycemic control was unsatisfactory. The medications sub-scale mean (Mean: 6.17 ± 1.18 SD) was the highest among all the U-SDSCA instrument sub-scales. The results of blood glucose monitoring subscale revealed that longer duration of diabetes ≥8 years) was associated significantly with poor glycemic control (Diff= -.299; p = .120). The multivariate regression analysis revealed that the participants’ characteristics accounted for 21% of the variability in the total self-management score (R²=0.211). In addition, women were more inclined to undertake appropriate diabetes self-management activities (β .302; p = .001). Conclusion: This study has identified the factors associated with the self-management activities among the patients with type 2 diabetes in rural area of Pakistan. In order to overcome the influence of these factors, healthcare professionals should pay special attention to the patients of middle-aged population of rural area of Pakistan and provide them educational programme that emphasizes lifestyle modification with importance of adherence to treatment and encourage them to make diabetes self-management activities as part of their day to day life.

scholarly journals The impact of health information technology on prescribing errors in hospitals: a systematic review and behaviour change technique analysis

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Joan Devin ◽  
Brian J. Cleary ◽  
Shane Cullinan
Keyword(s):  
Information Technology ◽  
Health Information Technology ◽  
Health Information ◽  
Behaviour Change ◽  
Error Rates ◽  
Behaviour Change Techniques ◽  
Prescribing Errors ◽  
Order Entry ◽  
Prescribing Error ◽  
The Impact

Abstract Background Health information technology (HIT) is known to reduce prescribing errors but may also cause new types of technology-generated errors (TGE) related to data entry, duplicate prescribing, and prescriber alert fatigue. It is unclear which component behaviour change techniques (BCTs) contribute to the effectiveness of prescribing HIT implementations and optimisation. This study aimed to (i) quantitatively assess the HIT that reduces prescribing errors in hospitals and (ii) identify the BCTs associated with effective interventions. Methods Articles were identified using CINAHL, EMBASE, MEDLINE, and Web of Science to May 2020. Eligible studies compared prescribing HIT with paper-order entry and examined prescribing error rates. Studies were excluded if prescribing error rates could not be extracted, if HIT use was non-compulsory or designed for one class of medication. The Newcastle-Ottawa scale was used to assess study quality. The review was reported in accordance with the PRISMA and SWiM guidelines. Odds ratios (OR) with 95% confidence intervals (CI) were calculated across the studies. Descriptive statistics were used to summarise effect estimates. Two researchers examined studies for BCTs using a validated taxonomy. Effectiveness ratios (ER) were used to determine the potential impact of individual BCTs. Results Thirty-five studies of variable risk of bias and limited intervention reporting were included. TGE were identified in 31 studies. Compared with paper-order entry, prescribing HIT of varying sophistication was associated with decreased rates of prescribing errors (median OR 0.24, IQR 0.03–0.57). Ten BCTs were present in at least two successful interventions and may be effective components of prescribing HIT implementation and optimisation including prescriber involvement in system design, clinical colleagues as trainers, modification of HIT in response to feedback, direct observation of prescriber workflow, monitoring of electronic orders to detect errors, and system alerts that prompt the prescriber. Conclusions Prescribing HIT is associated with a reduction in prescribing errors in a variety of hospital settings. Poor reporting of intervention delivery and content limited the BCT analysis. More detailed reporting may have identified additional effective intervention components. Effective BCTs may be considered in the design and development of prescribing HIT and in the reporting and evaluation of future studies in this area.

scholarly journals Development of a European competency framework for health and other professionals to support behaviour change in persons self-managing chronic disease

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mara Pereira Guerreiro ◽  
Judith Strawbridge ◽  
Afonso Miguel Cavaco ◽  
Isa Brito Félix ◽  
Marta Moreira Marques ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Chronic Diseases ◽  
Behaviour Change ◽  
Competency Framework ◽  
Strategic Partnership ◽  
Self Management ◽  
Delphi Panel ◽  
Behaviour Change Techniques ◽  
Core Set ◽  
Preparatory Work

Abstract Background Healthcare and other professionals are expected to support behaviour change in people living with chronic disease. However, effective behaviour change interventions are largely absent in routine encounters. The Train4Health project, a European strategic partnership for higher education, sought to address this problem. The primary aim of this study, which is part of an early work package, was to develop an interprofessional competency framework for health and other professions to support behaviour change for the self-management of chronic disease at a European level. A secondary aim was to derive a set of behaviour change techniques (BCTs) from an established taxonomy to link with framework competencies. Methods The study comprised two interlinked parts. Part 1 involved a two-round e-Delphi study with an interprofessional panel of 48 experts across 12 European countries to develop the behaviour change competency framework. Preparatory work included drafting a list of competency statements based on seven existing frameworks. Part 2 involved an expert panel of six behavioural psychologists deriving a set of BCTs to link with framework competencies. Their feedback was based on preparatory work, which focused on seven high priority chronic diseases for self-management, identified through European projects on self-management and identifying five relevant target behaviours from key clinical guidelines. A literature search yielded 29 effective BCTs for the target behaviours in the selected chronic diseases. Results Twenty-seven competency statements, were presented in Round 1 to the Delphi panel. Consensus was achieved for all statements. Based on comments, two statements were removed, one was added, and 14 were modified. All 15 statements subjected to Round 2 were consensus-approved, yielding a total of 12 foundational competencies for behaviour change in self-management of chronic disease and 14 behaviour change competencies. Four behaviour change competencies related to BCTs. Behavioural psychologists’ feedback led to a core set of 21 BCTs deemed applicable to the five target behaviours across the seven chronic diseases. Conclusions A behaviour change competency framework comprising 26 statements for European health and other professionals to support self-management of chronic disease was developed, linked with a core set of 21 BCTs from an established taxonomy.

scholarly journals Self-management and its associated factors among people living with diabetes in Blantyre, Malawi: a cross-sectional study

2021 ◽  
Vol 2 ◽  
pp. 161
Author(s):  
Chimwemwe Kwanjo Banda ◽  
Belinda T. Gombachika ◽  
Moffat J. Nyirenda ◽  
Adamson Sinjani Muula
Keyword(s):  
Logistic Regression ◽  
Self Efficacy ◽  
Social Cognitive ◽  
Management Practices ◽  
Cross Sectional Study ◽  
The Self ◽  
Self Management ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated

Background: Self-management is key to the control of glycaemia and prevention of complications in people with diabetes. Many people with diabetes in Malawi have poorly controlled glucose and they experience diabetes-related complications. This study aimed to assess diabetes self-management behaviours and to identify factors associated with it among people with diabetes at Queen Elizabeth Central Hospital, Blantyre, Malawi. Methods: This cross-sectional study recruited 510 adults attending a diabetes clinic at a teaching referral hospital in southern Malawi. The social cognitive theory was applied to identify factors associated with following all recommended self-management behaviours. Data on participants’ demographics, clinical history, diabetes knowledge, self-efficacy, outcome expectations, social support, environmental barriers and diabetes self-management were collected. Univariate and multivariate logistic regression analyses were conducted to identify factors associated with following all self-management behaviours. Results: The mean age of participants was 53.6 (SD 13.3) years. The majority (82%) were females. Self-reported medication adherence within the last seven days was 88.6%; 77% reported being physically active for at least 30 minutes on more than three days in the previous seven days; 69% reported checking their feet every day and inspecting inside their shoes; 58% reported following a healthy diet regularly. Only 33% reported following all the self-management behaviours regularly.  Multiple logistic regression analysis showed that self-efficacy was the only social cognitive factor associated with following all the self-management practices (p < 0.001). Conclusions: Participants in our study were not consistently achieving all self-management practices with dietary practices being the least adhered to behaviour by many. To improve self-management practices of people with diabetes, current health education programs should not only aim at improving diabetes related knowledge but also self-efficacy. Adopting interventions that promote self-efficacy in diabetes patients such as exposure to role models, peer education, providing positive feedback, and counselling is recommended.

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