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1.
BMC Fam Pract ; 19(1): 48, 2018 05 02.
Article in English | MEDLINE | ID: mdl-29720084

ABSTRACT

BACKGROUND: Problematic translational gaps continue to exist between demonstrating the positive impact of healthcare interventions in research settings and their implementation into routine daily practice. The aim of this qualitative evaluation of the SMART MOVE trial was to conduct a theoretically informed analysis, using normalisation process theory, of the potential barriers and levers to the implementation of a mhealth intervention to promote physical activity in primary care. METHODS: The study took place in the West of Ireland with recruitment in the community from the Clare Primary Care Network. SMART MOVE trial participants and the staff from four primary care centres were invited to take part and all agreed to do so. A qualitative methodology with a combination of focus groups (general practitioners, practice nurses and non-clinical staff from four separate primary care centres, n = 14) and individual semi-structured interviews (intervention and control SMART MOVE trial participants, n = 4) with purposeful sampling utilising the principles of Framework Analysis was utilised. The Normalisation Process Theory was used to develop the topic guide for the interviews and also informed the data analysis process. RESULTS: Four themes emerged from the analysis: personal and professional exercise strategies; roles and responsibilities to support active engagement; utilisation challenges; and evaluation, adoption and adherence. It was evident that introducing a new healthcare intervention demands a comprehensive evaluation of the intervention itself and also the environment in which it is to operate. Despite certain obstacles, the opportunity exists for the successful implementation of a novel healthcare intervention that addresses a hitherto unresolved healthcare need, provided that the intervention has strong usability attributes for both disseminators and target users and coheres strongly with the core objectives and culture of the health care environment in which it is to operate. CONCLUSION: We carried out a theoretical analysis of stakeholder informed barriers and levers to the implementation of a novel exercise promotion tool in the Irish primary care setting. We believe that this process amplifies the implementation potential of such an intervention in primary care. The SMART MOVE trial is registered at Current Controlled Trials (ISRCTN99944116; Date of registration: 1st August 2012).


Subject(s)
Exercise , Health Behavior , Mobile Applications , Primary Health Care , Aged , Female , Humans , Ireland , Male , Middle Aged , Qualitative Research , Telemedicine
2.
Br J Gen Pract ; 64(625): e500-8, 2014 Aug.
Article in English | MEDLINE | ID: mdl-25071063

ABSTRACT

BACKGROUND: Regular physical activity is known to help prevent and treat numerous non-communicable diseases. Smartphone applications (apps) have been shown to increase physical activity in primary care but little is known regarding the views of patients using such technology or how such technology may change behaviour. AIM: To explore patients' views and experiences of using smartphones to promote physical activity in primary care. DESIGN AND SETTING: This qualitative study was embedded within the SMART MOVE randomised controlled trial, which used an app (Accupedo-Pro Pedometer) to promote physical activity in three primary care centres in the west of Ireland. METHOD: Taped and transcribed semi-structured interviews with a purposeful sample of 12 participants formed the basis of the investigation. Framework analysis was used to analyse the data. RESULTS: Four themes emerged from the analysis: transforming relationships with exercise; persuasive technology tools; usability; and the cascade effect. The app appeared to facilitate a sequential and synergistic process of positive change, which occurred in the relationship between the participants and their exercise behaviour; the study has termed this the 'Know-Check-Move' effect. Usability challenges included increased battery consumption and adjusting to carrying the smartphone on their person. There was also evidence of a cascade effect involving the families and communities of participants. CONCLUSION: Notwithstanding technological challenges, an app has the potential to positively transform, in a unique way, participants' relationships with exercise. Such interventions can also have an associated cascade effect within their wider families and communities.


Subject(s)
Cell Phone/statistics & numerical data , Health Promotion/methods , Mobile Applications/statistics & numerical data , Monitoring, Physiologic/instrumentation , Sedentary Behavior , Behavior Therapy , Evaluation Studies as Topic , Humans , Middle Aged , Patient Satisfaction , Telemedicine , Treatment Outcome
3.
Br J Gen Pract ; 64(624): e384-91, 2014 Jul.
Article in English | MEDLINE | ID: mdl-24982490

ABSTRACT

BACKGROUND: Physical inactivity is a major, potentially modifiable, risk factor for cardiovascular disease, cancer, and other chronic diseases. Effective, simple, and generalisable interventions that will increase physical activity in populations are needed. AIM: To evaluate the effectiveness of a smartphone application (app) to increase physical activity in primary care. DESIGN AND SETTING: An 8-week, open-label, randomised controlled trial in rural, primary care in the west of Ireland. METHOD: Android smartphone users >16 years of age were recruited. All participants were provided with similar physical activity goals and information on the benefits of exercise. The intervention group was provided with a smartphone app and detailed instructions on how to use it to achieve these goals. The primary outcome was change in physical activity, as measured by a daily step count between baseline and follow-up. RESULTS: A total of 139 patients were referred by their primary care health professional or self-referred. In total, 37 (27%) were screened out and 12 (9%) declined to participate, leaving 90 (65%) patients who were randomised. Of these, 78 provided baseline data (intervention = 37; control = 41) and 77 provided outcome data (intervention = 37; control = 40). The mean daily step count at baseline for intervention and control groups was 4365 and 5138 steps per day respectively. After adjusting, there was evidence of a significant treatment effect (P = 0.009); the difference in mean improvement in daily step count from week 1 to week 8 inclusive was 1029 (95% confidence interval 214 to 1843) steps per day, favouring the intervention. Improvements in physical activity in the intervention group were sustained until the end of the trial. CONCLUSION: A simple smartphone app significantly increased physical activity over 8 weeks in a primary care population.


Subject(s)
Cell Phone , Exercise , Health Promotion/methods , Primary Health Care/methods , Blood Pressure/physiology , Female , Humans , Ireland , Male , Middle Aged , Mobile Applications , Monitoring, Physiologic , Telemedicine , Treatment Outcome
4.
Trials ; 14: 157, 2013 May 29.
Article in English | MEDLINE | ID: mdl-23714362

ABSTRACT

BACKGROUND: Sedentary lifestyles are now becoming a major concern for governments of developed and developing countries with physical inactivity related to increased all-cause mortality, lower quality of life, and increased risk of obesity, diabetes, hypertension and many other chronic diseases. The powerful onboard computing capacity of smartphones, along with the unique relationship individuals have with their mobile phones, suggests that mobile devices have the potential to influence behavior. However, no previous trials have been conducted using smartphone technology to promote physical activity. This project has the potential to provide robust evidence in this area of innovation. The aim of this study is to evaluate the effectiveness of a smartphone application as an intervention to promote physical activity in primary care. METHODS/DESIGN: A two-group, parallel randomized controlled trial (RCT) with a main outcome measure of mean difference in daily step count between baseline and follow up over eight weeks. A minimum of 80 active android smartphone users over 16 years of age who are able to undertake moderate physical activity are randomly assigned to the intervention group (n = 40) or to a control group (n = 40) for an eight week period. After randomization, all participants will complete a baseline period of one week during which a baseline mean daily step count will be established. The intervention group will be instructed in the usability features of the smartphone application, will be encouraged to try to achieve 10,000 steps per day as an exercise goal and will be given an exercise promotion leaflet. The control group will be encouraged to try to walk an additional 30 minutes per day along with their normal activity (the equivalent of 10,000 steps) as an exercise goal and will be given an exercise promotion leaflet. The primary outcome is mean difference in daily step count between baseline and follow-up. Secondary outcomes are systolic and diastolic blood pressure, resting heart rate, mental health score using HADS and quality of life score using Euroqol. Randomization and allocation to the intervention and groups will be carried out by an independent researcher, ensuring the allocation sequence is concealed from the study researchers until the interventions are assigned. The primary analysis is based on mean daily step count, comparing the mean difference in daily step count between the baseline and the trial periods in the intervention and control groups at follow up.


Subject(s)
Cell Phone , Computers, Handheld , Health Behavior , Health Promotion , Motor Activity , Primary Health Care , Research Design , Actigraphy , Blood Pressure , Clinical Protocols , Computer Graphics , Goals , Health Knowledge, Attitudes, Practice , Heart Rate , Humans , Ireland , Mental Health , Pamphlets , Patient Education as Topic , Quality of Life , Risk Reduction Behavior , Sedentary Behavior , Time Factors
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