scholarly journals Using Health Concept Surveying to Elicit Usable Evidence: Case Studies of a Novel Evaluation Methodology

10.2196/30474 ◽  
2022 ◽  
Vol 9 (1) ◽  
pp. e30474
Author(s):  
Alex Mariakakis ◽  
Ravi Karkar ◽  
Shwetak N Patel ◽  
Julie A Kientz ◽  
James Fogarty ◽  
...  
Keyword(s):  
Case Studies ◽  
Medical Condition ◽  
Early Stage ◽  
Health Belief ◽  
Wait Time ◽  
Health Behavior Change ◽  
Survey Instrument ◽  
Evaluation Methodology ◽  
Extrinsic Factors ◽  
Health Concept

Background Developers, designers, and researchers use rapid prototyping methods to project the adoption and acceptability of their health intervention technology (HIT) before the technology becomes mature enough to be deployed. Although these methods are useful for gathering feedback that advances the development of HITs, they rarely provide usable evidence that can contribute to our broader understanding of HITs. Objective In this research, we aim to develop and demonstrate a variation of vignette testing that supports developers and designers in evaluating early-stage HIT designs while generating usable evidence for the broader research community. Methods We proposed a method called health concept surveying for untangling the causal relationships that people develop around conceptual HITs. In health concept surveying, investigators gather reactions to design concepts through a scenario-based survey instrument. As the investigator manipulates characteristics related to their HIT, the survey instrument also measures proximal cognitive factors according to a health behavior change model to project how HIT design decisions may affect the adoption and acceptability of an HIT. Responses to the survey instrument were analyzed using path analysis to untangle the causal effects of these factors on the outcome variables. Results We demonstrated health concept surveying in 3 case studies of sensor-based health-screening apps. Our first study (N=54) showed that a wait time incentive could influence more people to go see a dermatologist after a positive test for skin cancer. Our second study (N=54), evaluating a similar application design, showed that although visual explanations of algorithmic decisions could increase participant trust in negative test results, the trust would not have been enough to affect people’s decision-making. Our third study (N=263) showed that people might prioritize test specificity or sensitivity depending on the nature of the medical condition. Conclusions Beyond the findings from our 3 case studies, our research uses the framing of the Health Belief Model to elicit and understand the intrinsic and extrinsic factors that may affect the adoption and acceptability of an HIT without having to build a working prototype. We have made our survey instrument publicly available so that others can leverage it for their own investigations.

scholarly journals Using Health Concept Surveying to Elicit Usable Evidence: Case Studies of a Novel Evaluation Methodology (Preprint)

2021 ◽  
Author(s):  
Alex Mariakakis ◽  
Ravi Karkar ◽  
Shwetak N Patel ◽  
Julie A Kientz ◽  
James Fogarty ◽  
...  
Keyword(s):  
Case Studies ◽  
Medical Condition ◽  
Early Stage ◽  
Health Belief ◽  
Wait Time ◽  
Health Behavior Change ◽  
Survey Instrument ◽  
Evaluation Methodology ◽  
Extrinsic Factors ◽  
Health Concept

BACKGROUND Developers, designers, and researchers use rapid prototyping methods to project the adoption and acceptability of their health intervention technology (HIT) before the technology becomes mature enough to be deployed. Although these methods are useful for gathering feedback that advances the development of HITs, they rarely provide usable evidence that can contribute to our broader understanding of HITs. OBJECTIVE In this research, we aim to develop and demonstrate a variation of vignette testing that supports developers and designers in evaluating early-stage HIT designs while generating usable evidence for the broader research community. METHODS We proposed a method called <i>health concept surveying</i> for untangling the causal relationships that people develop around conceptual HITs. In health concept surveying, investigators gather reactions to design concepts through a scenario-based survey instrument. As the investigator manipulates characteristics related to their HIT, the survey instrument also measures proximal cognitive factors according to a health behavior change model to project how HIT design decisions may affect the adoption and acceptability of an HIT. Responses to the survey instrument were analyzed using path analysis to untangle the causal effects of these factors on the outcome variables. RESULTS We demonstrated health concept surveying in 3 case studies of sensor-based health-screening apps. Our first study (N=54) showed that a wait time incentive could influence more people to go see a dermatologist after a positive test for skin cancer. Our second study (N=54), evaluating a similar application design, showed that although visual explanations of algorithmic decisions could increase participant trust in negative test results, the trust would not have been enough to affect people’s decision-making. Our third study (N=263) showed that people might prioritize test specificity or sensitivity depending on the nature of the medical condition. CONCLUSIONS Beyond the findings from our 3 case studies, our research uses the framing of the Health Belief Model to elicit and understand the intrinsic and extrinsic factors that may affect the adoption and acceptability of an HIT without having to build a working prototype. We have made our survey instrument publicly available so that others can leverage it for their own investigations.

Introduction

2017 ◽  
Author(s):  
Penny Farfan
Keyword(s):  
Case Studies ◽  
Early Stage ◽  
Sexual Norms ◽  
Sexual Identities ◽  
Precise Understanding ◽  
Central Argument ◽  
Late Nineteenth ◽  
The Well Of Loneliness

This introduction sets forth the book’s central argument and establishes the historical, theoretical, and critical context for its case studies. In the late nineteenth and early twentieth centuries, modern sexual identities emerged into view while at the same time being rendered invisible, as in Oscar Wilde’s 1895 trial on charges of gross indecency and the 1928 obscenity trial of Radclyffe Hall’s The Well of Loneliness. Early stage representations of homosexuality were typically coded or censored, yet the majority of the works considered in this book were highly visible in their subversions of conventional gender and sexual norms. Queer readings of these plays and performances establish connections across high and popular cultural domains, demonstrating that some of traditional modernism’s perceived failures, rejects, and outliers were modernist through their sexual dissidence. These insights in turn contribute to a more precise understanding of how modernity was mediated and how such mediations enacted change.

Orientalism in the Art Music of the Ionian Islands

2019 ◽  
pp. 296-317
Author(s):  
Kostas Kardamis
Keyword(s):  
Roman Empire ◽  
Case Studies ◽  
19Th Century ◽  
Early Stage ◽  
Art Music ◽  
Ionian Islands ◽  
The Enlightenment ◽  
The 19Th Century

The Ionian Islands were at an early stage cut off from the Eastern Roman Empire, experienced the changes that came with the Renaissance, actively participated in the Enlightenment and were in contact with the multifarious ideologies of the 19th century. These factors transformed their art music, which followed the ‘western’ trends. In this context, ‘orientalism’ appeared as an additional creative element in certain indigenous composers’ works. Its use ranged from the stereotypical ‘western’ approach regarding the Orient to the employment of ‘oriental’ elements as media of political (especially during the struggles for the Islands’ annexation to the Greek Kingdom), national (as a conventional ‘Greek characteristic’) and social statements, and as a way for the works’ entrepreneurial promotion to a larger audience. The chapter discusses these changing—and often concurrent and diverging—attitudes through case studies; it stresses that ‘orientalism’ never became a compositional fixation for Ionian Islands composers.

Beliefs as Motivational Influences at Stages in Behavior Change

1992 ◽  
Vol 13 (1) ◽  
pp. 3-29 ◽  
Author(s):  
Tom Baranowski
Keyword(s):  
Health Education ◽  
Health Behavior ◽  
Behavior Change ◽  
Change Process ◽  
Diffusion Of Innovations ◽  
Reasoned Action ◽  
Health Belief ◽  
Cost Benefit ◽  
Health Behavior Change ◽  
Education Practice

A problem for health education practice is how to interest people in making a health behavior change and maintain that interest throughout the behavior change process. Beliefs can provide motivational force for people to perform health behaviors. Five theories: 1) Diffusion of Innovations (DIT); 2) Health Belief Model (HBM); 3) Reasoned Action (TRA); 4) Locus of Control (LOC); and 5) Social Learning (SLT), are reviewed for motivational factors in promoting health behavior changes at each of six stages in the behavior change process: precontemplation, decision, training, initiation, and maintenance. A degree of overlap and complementariness are identified among the theories resulting in a syntheoretical model of beliefs as motivators in the behavior change process. The common emphasis among the theories on expectancies or cost-benefit calculations is highlighted, suggesting several strategies for employing these considerations in health education campaigns. The paucity of motivational ideas for promoting change among the externally controlled—late majority is noted. Further research must be conducted before these ideas should be generally implemented in practice.

scholarly journals Early Economic Evaluation of Diagnostic Technologies: Experiences of the NIHR Diagnostic Evidence Co-operatives

2019 ◽  
Vol 39 (7) ◽  
pp. 857-866 ◽  
Author(s):  
Lucy Abel ◽  
Bethany Shinkins ◽  
Alison Smith ◽  
Andrew J. Sutton ◽  
Gurdeep S. Sagoo ◽  
...  
Keyword(s):  
Economic Evaluation ◽  
Cost Effectiveness ◽  
Case Studies ◽  
Diagnostic Tests ◽  
Treatment Effectiveness ◽  
Early Stage ◽  
Early Model ◽  
The Cost ◽  
Diagnostic Technologies ◽  
Evidence Generation

Diagnostic tests are expensive and time-consuming to develop. Early economic evaluation using decision modeling can reduce commercial risk by providing early evidence on cost-effectiveness. The National Institute for Health Research Diagnostic Evidence Co-operatives (DECs) was established to catalyze evidence generation for diagnostic tests by collaborating with commercial developers; DEC researchers have consequently made extensive use of early modeling. The aim of this article is to summarize the experiences of the DECs using early modeling for diagnostics. We draw on 8 case studies to illustrate the methods, highlight methodological strengths and weaknesses particular to diagnostics, and provide advice. The case studies covered diagnosis, screening, and treatment stratification. Treatment effectiveness was a crucial determinant of cost-effectiveness in all cases, but robust evidence to inform this parameter was sparse. This risked limiting the usability of the results, although characterization of this uncertainty in turn highlighted the value of further evidence generation. Researchers evaluating early models must be aware of the importance of treatment effect evidence when reviewing the cost-effectiveness of diagnostics. Researchers planning to develop an early model of a test should also 1) consult widely with clinicians to ensure the model reflects real-world patient care; 2) develop comprehensive models that can be updated as the technology develops, rather than taking a “quick and dirty” approach that may risk producing misleading results; and 3) use flexible methods of reviewing evidence and evaluating model results, to fit the needs of multiple decision makers. Decision models can provide vital information for developers at an early stage, although limited evidence mean researchers should proceed with caution.

scholarly journals Patient willingness to be seen by a physician associate in Ireland

2018 ◽  
Vol 4 (2) ◽  
pp. 41 ◽  
Author(s):  
Pauline Joyce ◽  
Richard Arnett ◽  
Arnold Hill ◽  
Roderick S. Hooker
Keyword(s):  
Patient Preference ◽  
Medical Condition ◽  
Wait Time ◽  
Mixed Methods Study ◽  
Medical Provider ◽  
Specific Patient ◽  
Trade Off ◽  
Knowing That ◽  
The Mean ◽  
Gender Specific

Background: The physician associate (PA) role was piloted in Dublin, Ireland between 2015 and 2017. However, the concept of a PA and the acceptance of their role in Ireland had not been explored.Objective: To investigate the willingness of Irish citizens to be seen by a PA based on medical scenarios in a typical clinical setting.Design: A mixed methods study was undertaken. A preference survey, with three medical scenarios, gave participants a choice to be treated by a PA or a doctor, with two time trade-off options offered. Responses were supported with qualitative text. Four hundred people were invited to participate as surrogate patients.Setting and participants: In 2017 a total of 270 respondents took part in the study (67.5%) in two hospitals (one private and one public) in Dublin. The mean age was 60; male (n = 142) and female (n = 128) respondents.Findings: In total, 95% of the respondents chose to see a PA over a doctor based on the scenarios presented and a wait time of 30 minutes. Wait time, trust, competency and the severity or seriousness of the medical condition were categorized into three themes for choosing the PA over the doctor. The “surrogate patient” decisions made by this sample were influenced by knowing that the PA is supervised and can check decisions with his/her supervizing physician.Conclusion: These findings are consistent with studies carried out in other countries where willingness to be seen by a PA is neither age nor gender specific. Patient preference seems to concur around the importance of trust and confidence in the medical provider.

scholarly journals Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images

2021 ◽  
Author(s):  
U. Raghavendra ◽  
The-Hanh Pham ◽  
Anjan Gudigar ◽  
V. Vidhya ◽  
B. Nageswara Rao ◽  
...  
Keyword(s):  
Blood Flow ◽  
Intracerebral Haemorrhage ◽  
Medical Condition ◽  
Early Stage ◽  
Probabilistic Neural Network ◽  
Ct Images ◽  
Statistical Validation ◽  
Soft Computing Techniques ◽  
Non Linear ◽  
Brain Stroke

AbstractBrain stroke is an emergency medical condition which occurs mainly due to insufficient blood flow to the brain. It results in permanent cellular-level damage. There are two main types of brain stroke, ischemic and hemorrhagic. Ischemic brain stroke is caused by a lack of blood flow, and the haemorrhagic form is due to internal bleeding. The affected part of brain will not function properly after this attack. Hence, early detection is important for more efficacious treatment. Computer-aided diagnosis is a type of non-invasive diagnostic tool which can help in detecting life-threatening disease in its early stage by utilizing image processing and soft computing techniques. In this paper, we have developed one such model to assess intracerebral haemorrhage by employing non-linear features combined with a probabilistic neural network classifier and computed tomography (CT) images. Our model achieved a maximum accuracy of 97.37% in discerning normal versus haemorrhagic subjects. An intracerebral haemorrhage index is also developed using only three significant features. The clinical and statistical validation of the model confirms its suitability in providing for improved treatment planning and in making strategic decisions.

Sign in / Sign up

Export Citation Format

Share Document