Narrowing the 17-Year Research to Practice Gap

Munro, Cindy L.; Savel, Richard H.

doi:10.4037/ajcc2016449

Cited by 45 publications

(36 citation statements)

References 4 publications

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“…Considering the role of Design Thinking is important, not only in efficacious intervention development but also in effective implementation into practice ( 5 ). Only 3 of the included interventions addressed implementation, but this limited implementation provides insights.…”

Section: Discussionmentioning

confidence: 99%

“…However, these stakeholders are not always considered when new interventions or system processes are designed, which results in products that remain unused because they do not account for human context, need, or fallibility ( 3 , 4 ). This approach also likely contributes to the decades-long gaps between intervention development and implementation ( 5 ). Design Thinking offers a way to close that gap by helping investigators incorporate user needs and feedback throughout the development process.…”

Section: Introductionmentioning

confidence: 99%

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Design Thinking in Health Care

2018

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IntroductionApplying Design Thinking to health care could enhance innovation, efficiency, and effectiveness by increasing focus on patient and provider needs. The objective of this review is to determine how Design Thinking has been used in health care and whether it is effective.MethodsWe searched online databases (PubMed, Medline, Web of Science, CINAHL, and PyscINFO) for articles published through March 31, 2017, using the terms “health,” “health care,” or “healthcare”; and “Design Thinking,” “design science,” “design approach,” “user centered design,” or “human centered design.” Studies were included if they were written in English, were published in a peer-reviewed journal, provided outcome data on a health-related intervention, and used Design Thinking in intervention development, implementation, or both. Data were collected on target users, health conditions, intervention, Design Thinking approach, study design or sample, and health outcomes. Studies were categorized as being successful (all outcomes improved), having mixed success (at least one outcome improved), or being not successful (no outcomes improved).ResultsTwenty-four studies using Design Thinking were included across 19 physical health conditions, 2 mental health conditions, and 3 systems processes. Twelve were successful, 11 reported mixed success, and one was not successful. All 4 studies comparing Design Thinking interventions to traditional interventions showed greater satisfaction, usability, and effectiveness.ConclusionDesign Thinking is being used in varied health care settings and conditions, although application varies. Design Thinking may result in usable, acceptable, and effective interventions, although there are methodological and quality limitations. More research is needed, including studies to isolate critical components of Design Thinking and compare Design Thinking–based interventions with traditionally developed interventions.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design Thinking in Health Care

2018

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“…In addition, the data collected via UPHSP is more granular and accurate, collected 24/7 in real time, which eliminates potential social desirability and recall bias. On average, the current delay in research and policy development is 17 years [27,32,33], which can be changed with the help of technology and multisite studies. Implementing UPHSP could significantly reduce the time spent on data entry and collection because the technology requires little active involvement from study participants and can reduce the overall study time.…”

Section: Principal Findingsmentioning

confidence: 99%

Enabling Remote Patient Monitoring Through the Use of Smart Thermostat Data in Canada: Exploratory Study (Preprint)

Sahu¹,

Oetomo²,

Morita³

2020

Preprint

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BACKGROUND Remote patient monitoring has developed in recent years as technology has progressed to deliver such a system’s requirements. However, there is still room for innovation in the types of technologies that are developed, used, and implemented. The solutions provided in this study can expand beyond typically defined features and be used for improved holistic health monitoring purposes. OBJECTIVE The objective of this project was to validate our hypothesis that remote motion sensors could be used to quantify and track an individual’s movements around the house. Based upon our results, the next step was to determine if this could be a novel data collection method comparable to the national census level surveys administered by governmental bodies. The results will be used to inform a more extensive implementation study of similar smart home technologies to gather data for machine learning algorithms and to build upon pattern recognition and comprehensive health monitoring. METHODS A pilot study was conducted, with a sample size of 8, to validate the use of remote motion sensors to quantify movement in the home. A large database containing records from smart home thermostats was analyzed to compare the indicators of sleep, physical activity, and sedentary behaviour developed by the Public Health Agency of Canada and collected through traditional survey methods. RESULTS The results from the pilot study show that there was a significant Spearman correlation coefficient of 0.08 P>0.001, which indicates a positive linear association between the total number of sensors activated and the total number of indoor steps travelled by study participants. Additionally, the indicators of sleep, physical activity, and sedentary behaviour were all found to be highly comparable to those attained by the Public Health Agency of Canada. CONCLUSIONS The results demonstrate that remote motion sensors are a viable option when compared to traditional survey data collection methods for health data collection and are also a form of zero-effort technology that can be used to monitor the occupants of a home.

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“…As discussed in one of our previous editorials, the average time from publication of a relevant research article to an associated change in clinical practice can be on the order of a decade or more. 1 But, as we have also pointed out, some agents and protocols-with significant evidence behind them-turn out to be less helpful than initially thought. Examples of this include activated protein C and early goal-directed therapy for sepsis.…”

Section: Change As It Relates To the Evidencementioning

confidence: 99%