Primary Health Care Providers’ Perspectives on Developing an eHealth Tool for Physical Activity Counselling: A Qualitative Study

Wattanapisit, Apichai; Wattanapisit, Sanhapan; Tuangratananon, Titiporn; Amaek, Waluka; Wongsiri, Sunton; Petchuay, Prachyapan

doi:10.2147/jmdh.s298390

Cited by 6 publications

(23 citation statements)

References 57 publications

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“…12 We then conducted qualitative research to explore the requirements of PHC providers at 3 hospital-based PHC clinics in Nakhon Si Thammarat, Thailand. 13 The previous findings reflected a shortage of staff and heavy workload of the setting, which each PHC provider saw 40 patients per day (range 15-100) with a 5-minute contact per patient (range 2-20). 13 Finally, our team-which included medical doctors (AW, SWa, TT, and SWo); an industrial designer (WA); and a computer scientist (PP)-developed and validated the mHealth application, "PAC app".…”

Section: Context and Implementation Of An Mhealth Application Application Developmentmentioning

confidence: 97%

“…13 The previous findings reflected a shortage of staff and heavy workload of the setting, which each PHC provider saw 40 patients per day (range 15-100) with a 5-minute contact per patient (range 2-20). 13 Finally, our team-which included medical doctors (AW, SWa, TT, and SWo); an industrial designer (WA); and a computer scientist (PP)-developed and validated the mHealth application, "PAC app". The name of application, PAC app, is an acronym for physical activity counselling application.…”

Section: Context and Implementation Of An Mhealth Application Application Developmentmentioning

confidence: 97%

“…The first author (AW) conducted the two-hour-workshops on PA counselling at the three community hospitals where the previous qualitative research was conducted in February and March 2020. 13 The workshop participants were physicians, nurses, and public health officers at the hospitals and their PHC networks. Each workshop had 8-40 participants.…”

Section: Workhop On Pa Counsellingmentioning

confidence: 99%

“…12 The development of more effective mHealth applications requires an understanding of context and the needs of users. 13 The adoption of new mHealth applications is influenced by various factors such as ease of use, utility, trustworthiness, and cost-effectiveness. [14][15][16][17] We developed an mHealth application for personalized PA counselling based on a literature review and the requirements of users.…”

Section: Introductionmentioning

confidence: 99%

“…[14][15][16][17] We developed an mHealth application for personalized PA counselling based on a literature review and the requirements of users. 12,13 However, as the adoption of the application by PHC providers is a major challenge. The present study investigated the feasibility and challenges of the implementation of an mHealth application for personalized PA counselling.…”

Section: Introductionmentioning

confidence: 99%

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Challenges of Implementing an mHealth Application for Personalized Physical Activity Counselling in Primary Health Care: A Qualitative Study

Wattanapisit¹,

Amaek²,

Wattanapisit³

et al. 2021

IJGM

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Introduction: A mobile health (mHealth) technology has the potential to facilitate personalized physical activity (PA) counselling. We aimed to explore the feasibility and challenges of implementing a newly developed mHealth application (PAC app) for personalized PA counselling. Material and Methods: A qualitative design employed a descriptive phenomenology approach. Data were collected through focus group discussions (FGDs) with primary health care (PHC) providers and were analyzed using a deductive thematic approach. Results: A total of 16 participants participated in four FGDs. Four major themes were found: application for personalized PA counselling, barriers to the use of the application by providers, patient involvement, and impact on PHC services. Discussion: The results showed that the new mHealth application can potentially facilitate PA counselling. However, its use in PHC settings requires an understanding of the context of service delivery; the challenges faced by providers and patients and effects on services must be considered. Conclusion:Future research should focus on the long-term use of PAC app and its impact on behavioral and health outcomes.

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Section: Context and Implementation Of An Mhealth Application Application Developmentmentioning

confidence: 97%

Section: Context and Implementation Of An Mhealth Application Application Developmentmentioning

confidence: 97%

Section: Workhop On Pa Counsellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Challenges of Implementing an mHealth Application for Personalized Physical Activity Counselling in Primary Health Care: A Qualitative Study

Wattanapisit¹,

Amaek²,

Wattanapisit³

et al. 2021

IJGM

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Physical Activity with Sports Scientist (PASS) programme to promote physical activity among patients with non-communicable diseases: a pragmatic randomised controlled trial protocol

Wattanapisit,

Hemarachatanon,

Somrak

et al. 2024

BMJ Open Sport Exerc Med

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Physical activity (PA) effectively prevents and treats non-communicable diseases in clinical settings. PA promotion needs to be more consistent, especially in busy primary care. Sports scientists have the potential to support PA promotion in primary care. The Physical Activity with Sports Scientist (PASS) programme is created to personalise PA promotion led by a sports scientist in a primary care clinic. A pragmatic randomised controlled trial with two parallel groups will be conducted at a family medicine clinic. Physically inactive participants aged 35–70 years who have type 2 diabetes mellitus, hypertension or dyslipidaemia will be invited. The control group (n=60) will receive usual care. The intervention group (n=60) will receive the PASS programme and usual care. The PASS programme will consist of a tailored PA prescription after the physician’s consultation at the first visit and monthly phone follow-ups. The primary outcome is the proportion of participants who have achieved the PA goal defined as aerobic activity (≥150 min/week of moderate to vigorous-intensity PA), muscle-strengthening activity (≥2 days/week of moderate or greater intensity) and multicomponent PA (≥2 days/week of moderate or greater intensity). Secondary outcomes are body composition and physical fitness. The primary and secondary outcomes will be measured and compared between the control and intervention groups at visit 1 (month 0: baseline measurements), visit 2 (months 3–4: follow-up measurements), visit 3 (months 6–8: end-point measurements) and visit 4 (months 9–12: continuing measurements). The study protocol was registered with the Thai Clinical Trials Registry.Trial registration number: TCTR20240314001.

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Barriers to and Facilitators of the Use of Digital Tools in Primary Care to Deliver Physical Activity Advice: Semistructured Interviews and Thematic Analysis

Bondaronek¹,

Dicken²,

Jennings³

et al. 2022

JMIR Hum Factors

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Background Physical inactivity is a leading risk factor for many health conditions, including cardiovascular disease, diabetes, and cancer; therefore, increasing physical activity (PA) is a public health priority. Health care professionals (HCPs) in primary care are pivotal in addressing physical inactivity; however, few HCPs provide PA advice to patients. There can be obstacles to delivering PA advice, including lack of time, confidence, or knowledge. Digital technology has the potential to overcome obstacles and facilitate delivering PA advice. However, it is unknown if and how digital tools are used to deliver PA advice in primary care consultations and what factors influence their use. Objective We aimed to understand the use of digital tools to support primary care consultations and to identify the barriers to and facilitators of using these systems. Methods Overall, 25 semistructured interviews were conducted with primary care HCPs. Professionals were sampled based on profession (general practitioners, practice nurses, and health care assistants), prevalence of long-term conditions within their practice area, and rural-urban classification. The data were analyzed thematically to identify the influences on the use of digital tools. Themes were categorized using the COM-B (capability, opportunity, and motivation—behavior) model and the Theoretical Domains Framework to identify the barriers to and facilitators of using digital tools to support the delivery of PA advice in primary care consultations. Results The identified themes fell within 8 domains of the Theoretical Domains Framework. The most prominent influence (barrier or facilitator) within psychological capability was having the skills to use digital tools. Training in the use of digital tools was also mentioned several times. The most notable influences within physical opportunity were limited digital tools to prompt/support the provision of PA advice, time constraints, efficiency of digital tools, simplicity and ease of use of digital tools, and integration with existing systems. Other physical opportunity influences included lack of access to digital tools and technical support in the use of digital tools. Within social opportunity, a notable barrier was that digital tools reduce interpersonal communication with patients. Patient preference was also identified. Several important influences were within reflective motivation, including confidence to use digital tools, beliefs about the usefulness of digital tools, the belief that digital tools “are the way forward,” beliefs related to data privacy and security concerns, and perceptions about patient capabilities. About automatic motivation, influences included familiarity and availability regarding digital tools and the fact that digital tools prompt behavior. Conclusions A variety of influences were identified on the use of digital tools to support primary care consultations. These findings provide a foundation for designing a digital tool addressing barriers and leverages the facilitators to support PA advice provision within primary care to elicit patient behavior change and increase PA.

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Primary Health Care Providers’ Perspectives on Developing an eHealth Tool for Physical Activity Counselling: A Qualitative Study

Cited by 6 publications

References 57 publications

Challenges of Implementing an mHealth Application for Personalized Physical Activity Counselling in Primary Health Care: A Qualitative Study

Challenges of Implementing an mHealth Application for Personalized Physical Activity Counselling in Primary Health Care: A Qualitative Study

Physical Activity with Sports Scientist (PASS) programme to promote physical activity among patients with non-communicable diseases: a pragmatic randomised controlled trial protocol

Barriers to and Facilitators of the Use of Digital Tools in Primary Care to Deliver Physical Activity Advice: Semistructured Interviews and Thematic Analysis

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