Recent Submissions

  • Digital technology to facilitate proactive assessment of obesity risk during infancy (ProAsk): a feasibility study

    Redsell, Sarah A; Rose, Jennie; Weng, Stephen; Ablewhite, Joanne; Swift, Judy Anne; Siriwardena, Aloysius Niroshan; Nathan, Dilip; Wharrad, Heather J; Atkinson, Pippa; Watson, Vicki; et al. (BMJ, 2017-09-06)
    To assess the feasibility and acceptability of using digital technology for Proactive Assessment of Obesity Risk during Infancy (ProAsk) with the UK health visitors (HVs) and parents. Multicentre, pre- and post-intervention feasibility study with process evaluation. Rural and urban deprived settings, UK community care. 66 parents of infants and 22 HVs. ProAsk was delivered on a tablet device. It comprises a validated risk prediction tool to quantify overweight risk status and a therapeutic wheel detailing motivational strategies for preventive parental behaviour. Parents were encouraged to agree goals for behaviour change with HVs who received motivational interviewing training. We assessed recruitment, response and attrition rates. Demographic details were collected, and overweight risk status. The proposed primary outcome measure was weight-for-age z-score. The proposed secondary outcomes were parenting self-efficacy, maternal feeding style, infant diet and exposure to physical activity/sedentary behaviour. Qualitative interviews ascertained the acceptability of study processes and intervention fidelity. HVs screened 324/589 infants for inclusion in the study and 66/226 (29%) eligible infants were recruited. Assessment of overweight risk was completed on 53 infants and 40% of these were identified as above population risk. Weight-for-age z-score (SD) between the infants at population risk and those above population risk differed significantly at baseline (−0.67 SD vs 0.32 SD). HVs were able to collect data and calculate overweight risk for the infants. Protocol adherence and intervention fidelity was a challenge. HVs and parents found the information provided in the therapeutic wheel appropriate and acceptable. Study recruitment and protocol adherence were problematic. ProAsk was acceptable to most parents and HVs, but intervention fidelity was low. There was limited evidence to support the feasibility of implementing ProAsk without significant additional resources. A future study could evaluate ProAsk as a HV-supported, parent-led intervention.
  • Using interactive digital technology to predict and prevent childhood overweight

    Atkinson, Pippa; University of Nottingham; Anglia Ruskin University; University of Lincoln; Nottingham University Hospitals Trust (Wiley, 2017-11-12)
    Obesity risk factors can be identified during infancy, providing an opportunity for early intervention. ProAsk is an interactive digital intervention that supports health professionals to quantify and communicate an infant's overweight risk status, prompting discussion of parental strategies to reduce future risk. To investigate user experiences of an interactive digital intervention that assesses overweight risk during infancy and supports motivational behaviour change by parents to reduce their infants' future risk. The study was conducted in four economically deprived localities in the UK. Qualitative data on user experiences of ProAsk were collected at the end of a feasibility study of the intervention in which health visitors (public health nurses) used ProAsk with parents when the infants were three months old. Semi-structured interviews with parents (N = 12) and health visitors (N = 15) were conducted when the infants were 6 months old. Interview data were transcribed and analysed thematically using an inductive, interpretative approach. The analysis identified four key themes: engaging and empowering with digital technology; unfamiliar technology presents challenge and opportunity; trust in the risk score; resistance to targeting. Interactive, digital technology was found to actively engage parents, and enabled them to take ownership of the process of seeking strategies to reduce infant risk of overweight. However, cognitive and motivational biases that prevent effective overweight risk communication represent barriers to targeting the intervention at those infants most at risk of becoming overweight.
  • Development of an evidence-based practice guideline for UK public health nurses (health visitors) to use with parents of infants at risk of obesity.

    REDSELL, S.A.; EDMONDS, B.E.; GLAZEBROOK, C.; SWIFT, J.; NATHAN, D.; SIRIWARDENA, A.N.; WENG, S.F.; Atkinson, Pippa; WATSON, V.; Anglia Ruskin University; et al. (Elsevier BV, 2014-03-31)
    Evidence about effective interventions that reduce obesity risk during infancy is needed. A systematic review of Randomised Controlled Trials (RCTs) of behavioural and non-behavioural interventions which address potential risk factors for childhood overweight and obesity was undertaken to inform a guideline for UK health visitors. The National Institute for Health and Clinical Excellence (NICE) guidelines were followed. The findings were used to develop a guideline which was reviewed internally by a multi-professional Guideline Development Group (GDG) and externally by national experts and practitioners. We identified 35 RCTs reporting behavioural and non-behavioural interventions delivered antenatally and/or during infancy that included infant weight outcomes (e.g. weight-for-length, weight-for-age, weight-for-BMI) or outcomes related to obesity risk (breastfeeding, physical activity, timing of weaning). A number of on-going trials were identified. Good evidence exists for breastfeeding promotion and support interventions. Evidence exists for parental education around responsive feeding, aspects of infant diet and soothing/sleep expectations. These behavioural components informed the guideline, which is freely available on the UK Institute for Health Visiting website. There was equivocal evidence that infants fed lower protein (compared to higher protein) formula milk gained less weight, and this was not incorporated into the guideline. Further research is needed to establish clinically effective interventions for obesity prevention during infancy. Continuous dialogue between commissioners, policy makers, health visitors and parents is essential to inform obesity prevention strategies in the first year of life.
  • Proactive assessment of obesity risk during infancy (ProAsk): enabling health visitors to communicate future risk of childhood overweight to parents through digital technology

    Redsell, S.A.; Rose, J; Ablewhite, J; Swift, J; Siriwardena, A.N.S; Nathan, D; Weng, S; Wharrad, H; Atkinson, Pippa; Watson, V; et al. (2016-09)
  • Exploring the experiences of living with stroke through narrative

    Nasr, Nasrin; Mawson, Susan; Wright, Peter; Parker, Jack; Mountain, Gail; University of Sheffield; Newcastle University; Bradford University (SAGE Publications, 2016-05-05)
    Chronic illness models are normally used to explain and predict the experience of living with a long-term condition. The aim of this study was to present the findings of narrative interviews with stroke survivors and their family carers to understand their experiences of stroke. We interviewed five people with stroke and three family carers from the United Kingdom. We used thematic analysis to generate themes from their narrative accounts and then linked them to broader theoretical perspectives while influenced by the concept of reinterpretation of life. The narrative accounts of participants are mainly structured based on how their changed bodies poststroke changed their identities and roles and consequently their relationships with others. In this study, we underline the need for using methods like narrative to explain strategies that people use to make sense of their experiences of living with a long-term condition such as stroke.
  • A personalized self-management rehabilitation system with an intelligent shoe for stroke survivors: a realist evaluation

    Mawson, Susan; Nasr, Nasrin; Parker, Jack; Davies, Richard; Zheng, Huiru; Mountain, Gail; University of Sheffield; Ulster University, Belfast (JMIR Publications Inc., 2016-01-07)
    In the United Kingdom, stroke is the most significant cause of adult disability. Stroke survivors are frequently left with physical and psychological changes that can profoundly affect their functional ability, independence, and social participation. Research suggests that long-term, intense, task- and context-specific rehabilitation that is goal-oriented and environmentally enriched improves function, independence, and quality of life after a stroke. It is recommended that rehabilitation should continue until maximum recovery has been achieved. However, the increasing demand on services and financial constraints means that needs cannot be met through traditional face-to-face delivery of rehabilitation. Using a participatory design methodology, we developed an information communication technology–enhanced Personalized Self-Managed rehabilitation System (PSMrS) for stroke survivors with integrated insole sensor technology within an “intelligent shoe.”. The intervention model was based around a rehabilitation paradigm underpinned by theories of motor relearning and neuroplastic adaptation, motivational feedback, self-efficacy, and knowledge transfer. To understand the conditions under which this technology-based rehabilitation solution would most likely have an impact on the motor behavior of the user, what would work for whom, in what context, and how. We were interested in what aspects of the system would work best to facilitate the motor behavior change associated with self-managed rehabilitation and which user characteristics and circumstances of use could promote improved functional outcomes. We used a Realist Evaluation (RE) framework to evaluate the final prototype PSMrS with the assumption that the intervention consists of a series of configurations that include the Context of use, the underlying Mechanisms of change and the potential Outcomes or impacts (CMOs). We developed the CMOs from literature reviews and engagement with clinicians, users, and caregivers during a series of focus groups and home visits. These CMOs were then tested in five in-depth case studies with stroke survivors and their caregivers. While two new propositions emerged, the second importantly related to the self-management aspects of the system. The study revealed that the system should also encourage independent use and the setting of personalized goals or activities. Information communication technology that purports to support the self-management of stroke rehabilitation should give significant consideration to the need for motivational feedback that provides quantitative, reliable, accurate, context-specific, and culturally sensitive information about the achievement of personalized goal-based activities.
  • The provision of feedback through computer-based technology to promote self-managed post-stroke rehabilitation in the home

    Parker, Jack; Mawson, Susan; Mountain, Gail; Nasr, Nasrin; Davies, Richard; Zheng, Huiru; University of Sheffield; University of Ulster, Belfast (Taylor and Francis, 2013-10-16)
    Building on previous research findings, this article describes the development of the feedback interfaces for a Personalised Self-Managed Rehabilitation System (PSMrS) for home-based post-stroke rehabilitation using computer-based technology. Method: Embedded within a realistic evaluative methodological approach, the development of the feedback interfaces for the PSMrS involved the incorporation of existing and emerging theories and a hybrid of health and social sciences research and user-centred design methods. Results: User testing confirmed that extrinsic feedback for home-based post-stroke rehabilitation through computer-based technology needs to be personalisable, accurate, rewarding and measurable. In addition, user testing also confirmed the feasibility of using specific components of the PSMrS. Conclusions: A number of key elements are crucial for the development and potential utilisation of technology in what is an inevitable shift towards the use of innovative methods of delivering post-stroke rehabilitation. This includes the specific elements that are essential for the promotion of self-managed rehabilitation and rehabilitative behaviour change; the impact of the context on the mechanisms; and, importantly, the need for reliability and accuracy of the technology.
  • A personalized self-management rehabilitation system for stroke survivors: A quantitative gait analysis using a smart insole

    Davies, Richard John; Parker, Jack; McCullagh, Paul; Zheng, Huiru; Nugent, Chris; Black, Norman David; Mawson, Susan; Ulster University, Belfast; University of Sheffield (JMIR Publications Inc., 2016-11-08)
    In the United Kingdom, stroke is the single largest cause of adult disability and results in a cost to the economy of £8.9 billion per annum. Service needs are currently not being met; therefore, initiatives that focus on patient-centered care that promote long-term self-management for chronic conditions should be at the forefront of service redesign. The use of innovative technologies and the ability to apply these effectively to promote behavior change are paramount in meeting the current challenges. Our objective was to gain a deeper insight into the impact of innovative technologies in support of home-based, self-managed rehabilitation for stroke survivors. An intervention of daily walks can assist with improving lower limb motor function, and this can be measured by using technology. This paper focuses on assessing the usage of self-management technologies on poststroke survivors while undergoing rehabilitation at home. A realist evaluation of a personalized self-management rehabilitation system was undertaken in the homes of stroke survivors (N=5) over a period of approximately two months. Context, mechanisms, and outcomes were developed and explored using theories relating to motor recovery. Participants were encouraged to self-manage their daily walking activity; this was achieved through goal setting and motivational feedback. Gait data were collected and analyzed to produce metrics such as speed, heel strikes, and symmetry. This was achieved using a “smart insole” to facilitate measurement of walking activities in a free-living, nonrestrictive environment. Initial findings indicated that 4 out of 5 participants performed better during the second half of the evaluation. Performance increase was evident through improved heel strikes on participants’ affected limb. Additionally, increase in performance in relation to speed was also evident for all 5 participants. A common strategy emerged across all but one participant as symmetry performance was sacrificed in favor of improved heel strikes. This paper evaluates compliance and intensity of use. Our findings suggested that 4 out of the 5 participants improved their ability to heel strike on their affected limb. All participants showed improvements in their speed of gait measured in steps per minute with an average increase of 9.8% during the rehabilitation program. Performance in relation to symmetry showed an 8.5% average decline across participants, although 1 participant improved by 4%. Context, mechanism, and outcomes indicated that dual motor learning and compensatory strategies were deployed by the participants.
  • Assessing walking strategies using insole pressure sensors for stroke survivors

    Munoz-Organero, Mario; Parker, Jack; Powell, Lauren; Mawson, Susan; Universidad Carlos III de Madrid; University of Sheffield (MDPI AG, 2016-10-01)
    Insole pressure sensors capture the different forces exercised over the different parts of the sole when performing tasks standing up such as walking. Using data analysis and machine learning techniques, common patterns and strategies from different users to achieve different tasks can be automatically extracted. In this paper, we present the results obtained for the automatic detection of different strategies used by stroke survivors when walking as integrated into an Information Communication Technology (ICT) enhanced Personalised Self-Management Rehabilitation System (PSMrS) for stroke rehabilitation. Fourteen stroke survivors and 10 healthy controls have participated in the experiment by walking six times a distance from chair to chair of approximately 10 m long. The Rivermead Mobility Index was used to assess the functional ability of each individual in the stroke survivor group. Several walking strategies are studied based on data gathered from insole pressure sensors and patterns found in stroke survivor patients are compared with average patterns found in healthy control users. A mechanism to automatically estimate a mobility index based on the similarity of the pressure patterns to a stereotyped stride is also used. Both data gathered from stroke survivors and healthy controls are used to evaluate the proposed mechanisms. The output of trained algorithms is applied to the PSMrS system to provide feedback on gait quality enabling stroke survivors to self-manage their rehabilitation.
  • Attention deficit hyperactivity disorder: Is there an app for that? Suitability assessment of apps for children and young people with ADHD

    Powell, Lauren; Parker, Jack; Robertson, Naomi; Harpin, Valerie; University of Sheffield; Ryegate Children's Centre, Sheffield Children's NHS Foundation Trust (JMIR Publications Inc., 2017-10-04)
    Attention-deficit/hyperactivity disorder (ADHD) is a complex highly comorbid disorder, which can have a huge impact on those with ADHD, their family, and the community around them. ADHD is currently managed using pharmacological and nonpharmacological interventions. However, with advances in technology and an increase in the use of mobile apps, managing ADHD can be augmented using apps specifically designed for this population. However, little is known regarding the suitability and usability of currently available apps. The aim of this study was to explore the suitability of the top 10 listed apps for children and young people with ADHD and clinicians who work with them. It is hypothesized that mobile apps designed for this population could be more suitably designed for this population. The top 10 listed apps that are specifically targeted toward children and young people with ADHD in the United Kingdom were identified via the Google Play (n=5) and iTunes store (n=5). Interviews were then undertaken with 5 clinicians who specialize in treating this population and 5 children and young people with ADHD themselves, to explore their opinions of the 10 apps identified and what they believe the key components are for apps to be suitable for this population. Five themes emerged from clinician and young people interviews: the accessibility of the technology, the importance of relating to apps, addressing ADHD symptoms and related difficulties, age appropriateness, and app interaction. Three additional themes emerged from the clinician interviews alone: monitoring symptoms, side effects and app effect on relationships, and the impact of common comorbid conditions. The characteristics of the apps did not appear to match well with the views of our sample. These findings suggest that the apps may not be suitable in meeting the complex needs associated with this condition. Further research is required to explore the value of apps for children and young people with ADHD and their families and, in particular, any positive role for apps in the management of ADHD in this age group. A systematic review on how technology can be used to engage this population and how it can be used to help them would be a useful way forward. This could be the platform to begin exploring the use of apps further.
  • The SMART personalised self-management system for congestive heart failure: results of a realist evaluation

    Bartlett, Yvonne K; Haywood, Annette; Bentley, Claire L; Parker, Jack; Hawley, Mark S; Mountain, Gail A; Mawson, Susan; University of Sheffield (Springer Science and Business Media LLC, 2014-11-25)
    Technology has the potential to provide support for self-management to people with congestive heart failure (CHF). This paper describes the results of a realist evaluation of the SMART Personalised Self-Management System (PSMS) for CHF. The PSMS was used, at home, by seven people with CHF. Data describing system usage and usability as well as questionnaire and interview data were evaluated in terms of the context, mechanism and outcome hypotheses (CMOs) integral to realist evaluation. The CHF PSMS improved heart failure related knowledge in those with low levels of knowledge at baseline, through providing information and quizzes. Furthermore, participants perceived the self-regulatory aspects of the CHF PSMS as being useful in encouraging daily walking. The CMOs were revised to describe the context of use, and how this influences both the mechanisms and the outcomes. Participants with CHF engaged with the PSMS despite some technological problems. Some positive effects on knowledge were observed as well as the potential to assist with changing physical activity behaviour. Knowledge of CHF and physical activity behaviour change are important self-management targets for CHF, and this study provides evidence to direct the further development of a technology to support these targets.
  • Stroke patients’ utilisation of extrinsic feedback from computer-based technology in the home: a multiple case study realistic evaluation

    Parker, Jack; Mawson, Susan; Mountain, Gail; Nasr, Nasrin; Zheng, Huiru; University of Sheffield; University of Ulster, Belfast (Springer Science and Business Media LLC, 2014-06-05)
    Evidence indicates that post − stroke rehabilitation improves function, independence and quality of life. A key aspect of rehabilitation is the provision of appropriate information and feedback to the learner. Advances in information and communications technology (ICT) have allowed for the development of various systems to complement stroke rehabilitation that could be used in the home setting. These systems may increase the provision of rehabilitation a stroke survivor receives and carries out, as well as providing a learning platform that facilitates long-term self-managed rehabilitation and behaviour change. This paper describes the application of an innovative evaluative methodology to explore the utilisation of feedback for post-stroke upper-limb rehabilitation in the home. Using the principles of realistic evaluation, this study aimed to test and refine intervention theories by exploring the complex interactions of contexts, mechanisms and outcomes that arise from technology deployment in the home. Methods included focus groups followed by multi-method case studies (n = 5) before, during and after the use of computer-based equipment. Data were analysed in relation to the context-mechanism-outcome hypotheses case by case. This was followed by a synthesis of the findings to answer the question, ‘what works for whom and in what circumstances and respects?’ Data analysis reveals that to achieve desired outcomes through the use of ICT, key elements of computer feedback, such as accuracy, measurability, rewarding feedback, adaptability, and knowledge of results feedback, are required to trigger the theory-driven mechanisms underpinning the intervention. In addition, the pre-existing context and the personal and environmental contexts, such as previous experience of service delivery, personal goals, trust in the technology, and social circumstances may also enable or constrain the underpinning theory-driven mechanisms. Findings suggest that the theory-driven mechanisms underpinning the utilisation of feedback from computer-based technology for home-based upper-limb post-stroke rehabilitation are dependent on key elements of computer feedback and the personal and environmental context. The identification of these elements may therefore inform the development of technology; therapy education and the subsequent adoption of technology and a self-management paradigm; long-term self-managed rehabilitation; and importantly, improvements in the physical and psychosocial aspects of recovery.
  • Developing a personalised self-management system for post stroke rehabilitation; utilising a user-centred design methodology

    Mawson, Susan; Nasr, Nasrin; Parker, Jack; Zheng, Huiru; Davies, Richard; Mountain, Gail; University of Sheffield; University of Ulster, Belfast (Taylor and Francis, 2013-10-16)
    To develop and evaluate an information and communication technology (ICT) solution for a post-stroke Personalised Self-Managed Rehabilitation System (PSMrS). The PSMrS translates current models of stroke rehabilitation and theories underpinning self-management and self-efficacy into an ICT-based system for home-based post-stroke rehabilitation. The interdisciplinary research team applied a hybrid of health and social sciences research methods and user-centred design methods. This included a series of home visits, focus groups, in-depth interviews, cultural probes and technology biographies. The iterative development of both the content of the PSMrS and the interactive interfaces between the system and the user incorporates current models of post-stroke rehabilitation and addresses the factors that promote self-managed behaviour and self-efficacy such as mastery, verbal persuasion and physiological feedback. The methodological approach has ensured that the interactive technology has been driven by the needs of the stroke survivors and their carers in the context of their journey to both recovery and adaptation. Underpinned by theories of motor relearning, neuroplasticity, self-management and behaviour change, the PSMrS developed in this study has resulted in a personalised system for self-managed rehabilitation, which has the potential to change motor behaviour and promote the achievement of life goals for stroke survivors.
  • Providing sources of self-efficacy through technology enhanced post-stroke rehabilitation in the home

    Parker, Jack; Mawson, Susan; University of Sheffield (IOS Press, 2017-09)
  • Identification of walking strategies of people With osteoarthritis of the knee using insole pressure sensors

    Munoz-Organero, Mario; Littlewood, Chris; Parker, Jack; Powell, Lauren; Grindell, Cheryl; Mawson, Sue; Charles III University of Madrid, Madrid, Spain; Keele University; University of Sheffield (Institute of Electrical and Electronics Engineers (IEEE), 2017-06-15)
    Insole pressure sensors capture the different forces exercised over the different parts of the sole when performing tasks standing up. Using data analysis and machine learning techniques, common patterns and strategies from different users to execute different tasks can be extracted. In this paper, we present the evaluation results of the impact that clinically diagnosed osteoarthritis of the knee at early stages has on insole pressure sensors while walking at normal speeds focusing on the effects caused at points, where knee forces tend to peak for normal users. From the different parts of the foot affected at high knee force moments, the forefoot pressure distribution and the heel to forefoot weight reallocation strategies have shown to provide better correlations with the user's perceived pain in the knee for OA users with mild knee pain. This paper shows how the time differences and variabilities from two sensors located in the metatarsal zone while walking provide a simple mechanism to detect different strategies used by users suffering OA of the knee from control users with no knee pain. The weight dynamic reallocation at the midfoot, when moving forward from heel to forefoot, has also shown to positively correlate with the perceived knee pain. The major asymmetries between pressure patterns in both feet while walking at normal speeds are also captured. Based on the described features, automatic evaluation self-management rehabilitation tools could be implemented to continuously monitor and provide personalized feedback for OA patients with mild knee pain to facilitate user adherence to individualized OA rehabilitation.
  • Sensor optimization in smart insoles for post-stroke gait asymmetries using total variation and L1Distances

    Munoz-Organero, Mario; Parker, Jack; Powell, Lauren; Davies, Richard; Mawson, Sue; Universidad Carlos III de Madrid, Madrid, Spain; University of Sheffield; University of Ulster, Belfast (Institute of Electrical and Electronics Engineers (IEEE), 2017-05-15)
    By deploying pressure sensors on insoles, the forces exerted by the different parts of the foot when performing tasks standing up can be captured. The number and location of sensors to use are important factors in order to enhance the accuracy of parameters used in assessment while minimizing the cost of the device by reducing the number of deployed sensors. Selecting the best locations and the required number of sensors depends on the application and the features that we want to assess. In this paper, we present a computational process to select the optimal set of sensors to characterize gait asymmetries and plantar pressure patterns for stroke survivors based upon the total variation and L1 distances. The proposed mechanism is ecologically validated in a real environment with 14 stroke survivors and 14 control users. The number of sensors is reduced to 4, minimizing the cost of the device both for commercial users and companies and enhancing the cost to benefit ratio for its uptake from a national healthcare system. The results show that the sensors that better represent the gait asymmetries for healthy controls are the sensors under the big toe and midfoot and the sensors in the forefoot and midfoot for stroke survivors. The results also show that all four regions of the foot (toes, forefoot, midfoot, and heel) play an important role for plantar pressure pattern reconstruction for stroke survivors, while the heel and forefoot region are more prominent for healthy controls.
  • ADHD: Is there an app for that? A suitability assessment of apps for the parents of children and young people with ADHD

    Powell, Lauren; Parker, Jack; Harpin, Valerie; University of Sheffield; Sheffield Children's Hospital NHS Foundation Trust, Ryegate Children's Centre (JMIR Publications Inc., 2017-10-13)
    Attention-deficit hyperactivity disorder (ADHD) is a highly comorbid disorder that can impact significantly on the individual and their family. ADHD is managed via pharmacological and nonpharmacological interventions. Parents also gain support from parent support groups, which may include chat rooms, as well as face-to-face meetings. With the growth of technology use over recent years, parents have access to more resources that ever before. A number of mobile apps have been developed to help parents manage ADHD in their children and young people. Unfortunately many of these apps are not evidence-based, and little is known of their suitability for the parents or whether they are helpful in ADHD management. The aim of this study was to explore the (1) parents’ views of the suitability of the top ten listed apps for parents of children and young people with ADHD and (2) the views of clinicians that work with them on the suitability and value of the apps. The top 10 listed apps specifically targeted toward the parents of children and young people with ADHD were identified via the Google Play (n=5) and iTunes store (n=5). Interviews were then undertaken with 7 parents of children or young people with ADHD and 6 clinicians who specialize in working with this population to explore their opinions of the 10 apps identified and what they believe the key components are for apps to be suitable and valuable for this population. Four themes emerged from clinician and parent interviews: (1) the importance of relating to the app, (2) apps that address ADHD-related difficulties, (3) how the apps can affect family relationships, and (4) apps as an educational tool. Two additional themes emerged from the clinician interviews alone: monitoring ADHD symptoms and that apps should be practical. Parents also identified an additional theme: the importance of the technology. Overall, the characteristics of the current top 10 listed apps did not appear to match well to the views of our sample. Findings suggest that these apps may not fully meet the complex needs of this parent population. Further research is required to explore the value of apps with this population and how they can be tailored to their very specific needs.

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