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      The Impact of a Text Messaging Service (Tonsil-Text-To-Me) on Pediatric Perioperative Tonsillectomy Outcomes: Cohort Study With a Historical Control Group

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          Abstract

          Background

          Tonsillectomy is a common pediatric surgical procedure performed in North America. Caregivers experience complex challenges in preparing for their child’s surgery and coordinating care at home and, consequently, could benefit from access to educational resources. A previous feasibility study of Tonsil-Text-To-Me, an automated SMS text messaging service that sends 15 time-sensitive activity reminders, links to nutrition and hydration tips, pain management strategies, and guidance on monitoring for complications, showed promising results, with high levels of caregiver satisfaction and engagement.

          Objective

          This study aimed to pilot-test Tonsil-Text-To-Me in a real-world context to determine whether and how it might improve perioperative experiences and outcomes for caregivers and patients.

          Methods

          Caregivers of children aged 3 to 14 years undergoing tonsillectomy were included. Data from a historical control group and an intervention group with the same study parameters (eg, eligibility criteria and surgery team) were compared. Measures included the Parenting Self-Agency Measure, General Health Questionnaire-12, Parents’ Postoperative Pain Measure, Client Satisfaction Questionnaire-8, and engagement analytics, as well as analgesic consumption, pain, child activity level, and health service use. Data were collected on the day before surgery, 3 days after surgery, and 14 days after surgery. Participants in the intervention group received texts starting 2 weeks before surgery up to the eighth day after surgery. Descriptive and inferential statistics were used.

          Results

          In total, 51 caregivers (n=32, 63% control; n=19, 37% intervention) who were predominately women (49/51, 96%), White (48/51, 94%), and employed (42/51, 82%) participated. Intervention group caregivers had a statistically significant positive difference in Parenting Self-Agency Measure scores ( P=.001). The mean postoperative pain scores were higher for the control group (mean 10.0, SD 3.1) than for the intervention group (mean 8.5, SD 3.7), both of which were still above the 6/15 threshold for clinically significant pain; however, the difference was not statistically significant ( t 39=1.446; P=.16). Other positive but nonsignificant trends for the intervention group compared with the control group were observed for the highest level of pain ( t 39=0.882; P=.38), emergency department visits ( χ 2 2=1.3; P=.52; Cramer V=0.19), and other measures. Engagement with resources linked in the texts was moderate, with all but 1 being clicked on for viewing at least once by 79% (15/19) of the participants. Participants rated the intervention as highly satisfactory across all 8 dimensions of the Client Satisfaction Questionnaire (mean 29.4, SD 3.2; out of a possible value of 32.0).

          Conclusions

          This cohort study with a historical control group found that Tonsil-Text-To-Me had a positive impact on caregivers’ perioperative care experience. The small sample size and unclear impacts of COVID-19 on the study design should be considered when interpreting the results. Controlled trials with larger sample sizes for evaluating SMS text messaging interventions aimed to support caregivers of children undergoing tonsillectomy surgery are warranted.

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          Most cited references47

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          The REDCap consortium: Building an international community of software platform partners

          The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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            The behaviour change wheel: A new method for characterising and designing behaviour change interventions

            Background Improving the design and implementation of evidence-based practice depends on successful behaviour change interventions. This requires an appropriate method for characterising interventions and linking them to an analysis of the targeted behaviour. There exists a plethora of frameworks of behaviour change interventions, but it is not clear how well they serve this purpose. This paper evaluates these frameworks, and develops and evaluates a new framework aimed at overcoming their limitations. Methods A systematic search of electronic databases and consultation with behaviour change experts were used to identify frameworks of behaviour change interventions. These were evaluated according to three criteria: comprehensiveness, coherence, and a clear link to an overarching model of behaviour. A new framework was developed to meet these criteria. The reliability with which it could be applied was examined in two domains of behaviour change: tobacco control and obesity. Results Nineteen frameworks were identified covering nine intervention functions and seven policy categories that could enable those interventions. None of the frameworks reviewed covered the full range of intervention functions or policies, and only a minority met the criteria of coherence or linkage to a model of behaviour. At the centre of a proposed new framework is a 'behaviour system' involving three essential conditions: capability, opportunity, and motivation (what we term the 'COM-B system'). This forms the hub of a 'behaviour change wheel' (BCW) around which are positioned the nine intervention functions aimed at addressing deficits in one or more of these conditions; around this are placed seven categories of policy that could enable those interventions to occur. The BCW was used reliably to characterise interventions within the English Department of Health's 2010 tobacco control strategy and the National Institute of Health and Clinical Excellence's guidance on reducing obesity. Conclusions Interventions and policies to change behaviour can be usefully characterised by means of a BCW comprising: a 'behaviour system' at the hub, encircled by intervention functions and then by policy categories. Research is needed to establish how far the BCW can lead to more efficient design of effective interventions.
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              Persuasive System Design Does Matter: A Systematic Review of Adherence to Web-Based Interventions

              Background Although web-based interventions for promoting health and health-related behavior can be effective, poor adherence is a common issue that needs to be addressed. Technology as a means to communicate the content in web-based interventions has been neglected in research. Indeed, technology is often seen as a black-box, a mere tool that has no effect or value and serves only as a vehicle to deliver intervention content. In this paper we examine technology from a holistic perspective. We see it as a vital and inseparable aspect of web-based interventions to help explain and understand adherence. Objective This study aims to review the literature on web-based health interventions to investigate whether intervention characteristics and persuasive design affect adherence to a web-based intervention. Methods We conducted a systematic review of studies into web-based health interventions. Per intervention, intervention characteristics, persuasive technology elements and adherence were coded. We performed a multiple regression analysis to investigate whether these variables could predict adherence. Results We included 101 articles on 83 interventions. The typical web-based intervention is meant to be used once a week, is modular in set-up, is updated once a week, lasts for 10 weeks, includes interaction with the system and a counselor and peers on the web, includes some persuasive technology elements, and about 50% of the participants adhere to the intervention. Regarding persuasive technology, we see that primary task support elements are most commonly employed (mean 2.9 out of a possible 7.0). Dialogue support and social support are less commonly employed (mean 1.5 and 1.2 out of a possible 7.0, respectively). When comparing the interventions of the different health care areas, we find significant differences in intended usage (p = .004), setup (p < .001), updates (p < .001), frequency of interaction with a counselor (p < .001), the system (p = .003) and peers (p = .017), duration (F = 6.068, p = .004), adherence (F = 4.833, p = .010) and the number of primary task support elements (F = 5.631, p = .005). Our final regression model explained 55% of the variance in adherence. In this model, a RCT study as opposed to an observational study, increased interaction with a counselor, more frequent intended usage, more frequent updates and more extensive employment of dialogue support significantly predicted better adherence. Conclusions Using intervention characteristics and persuasive technology elements, a substantial amount of variance in adherence can be explained. Although there are differences between health care areas on intervention characteristics, health care area per se does not predict adherence. Rather, the differences in technology and interaction predict adherence. The results of this study can be used to make an informed decision about how to design a web-based intervention to which patients are more likely to adhere.
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                Author and article information

                Contributors
                Journal
                JMIR Perioper Med
                JMIR Perioper Med
                JPeriOp
                JMIR Perioperative Medicine
                JMIR Publications (Toronto, Canada )
                2561-9128
                Jan-Dec 2022
                20 September 2022
                : 5
                : 1
                : e39617
                Affiliations
                [1 ] Mental Health and Addictions Policy and Planning Nova Scotia Health Dartmouth, NS Canada
                [2 ] Centre for Research in Family Health IWK Health Centre Halifax, NS Canada
                [3 ] Mental Health and Addictions IWK Health Halifax, NS Canada
                [4 ] Department of Psychiatry Dalhousie University Halifax, NS Canada
                [5 ] Faculty of Medicine Dalhousie University Halifax, NS Canada
                [6 ] Division of Otolaryngology IWK Health Halifax, NS Canada
                [7 ] Division of Otolaryngology–Head & Neck Surgery Department of Surgery Dalhousie University Halifax, NS Canada
                Author notes
                Corresponding Author: Lori Wozney loriwozney@ 123456gmail.com
                Author information
                https://orcid.org/0000-0003-4280-3322
                https://orcid.org/0000-0002-4691-1817
                https://orcid.org/0000-0002-6137-049X
                https://orcid.org/0000-0001-6658-8431
                https://orcid.org/0000-0002-8766-3266
                Article
                v5i1e39617
                10.2196/39617
                9533209
                36125849
                c55e4a89-a545-430b-ad6f-f6b6bbc0464a
                ©Lori Wozney, Negar Vakili, Jill Chorney, Alexander Clark, Paul Hong. Originally published in JMIR Perioperative Medicine (http://periop.jmir.org), 20.09.2022.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Perioperative Medicine, is properly cited. The complete bibliographic information, a link to the original publication on http://periop.jmir.org, as well as this copyright and license information must be included.

                History
                : 16 May 2022
                : 28 June 2022
                : 3 August 2022
                : 4 August 2022
                Categories
                Original Paper
                Original Paper

                tonsillectomy,otorhinolaryngology,text messaging,caregivers,surgery,perioperative,patient discharge,aftercare,short messaging service,pain management,mobile phone

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