Factors affecting access and use of preventive and weight management care: A public health lens

Aboueid, Stephanie; Meyer, Samantha B.

doi:10.1177/0840470418824345

Cited by 3 publications

(2 citation statements)

References 73 publications

(95 reference statements)

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“…Although some argue that the use of this technology may cause an individual to delay seeking care, it is important to recognize that delayed diagnoses are prevalent even without the use of this technology [40,42,43]. Many factors contribute to a delayed diagnosis with the top-ranked issues being poor communication between secondary and primary care, a mismatch between patients’ medical needs and health care supply, and a lack of access or use of health services [42,44]. For example, Behrbalk et al found that the average time delay from initiation of symptoms to the diagnosis of cervical spondylotic myelopathy (CSM) was 2.2 (SD 2.3) years [43].…”

Section: Discussionmentioning

confidence: 99%

The Use of Artificially Intelligent Self-Diagnosing Digital Platforms by the General Public: Scoping Review

Aboueid¹,

Liu²,

Desta³

et al. 2019

JMIR Med Inform

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Background Self-diagnosis is the process of diagnosing or identifying a medical condition in oneself. Artificially intelligent digital platforms for self-diagnosis are becoming widely available and are used by the general public; however, little is known about the body of knowledge surrounding this technology. Objective The objectives of this scoping review were to (1) systematically map the extent and nature of the literature and topic areas pertaining to digital platforms that use computerized algorithms to provide users with a list of potential diagnoses and (2) identify key knowledge gaps. Methods The following databases were searched: PubMed (Medline), Scopus, Association for Computing Machinery Digital Library, Institute of Electrical and Electronics Engineers, Google Scholar, Open Grey, and ProQuest Dissertations and Theses. The search strategy was developed and refined with the assistance of a librarian and consisted of 3 main concepts: (1) self-diagnosis; (2) digital platforms; and (3) public or patients. The search generated 2536 articles from which 217 were duplicates. Following the Tricco et al 2018 checklist, 2 researchers screened the titles and abstracts (n=2316) and full texts (n=104), independently. A total of 19 articles were included for review, and data were retrieved following a data-charting form that was pretested by the research team. Results The included articles were mainly conducted in the United States (n=10) or the United Kingdom (n=4). Among the articles, topic areas included accuracy or correspondence with a doctor’s diagnosis (n=6), commentaries (n=2), regulation (n=3), sociological (n=2), user experience (n=2), theoretical (n=1), privacy and security (n=1), ethical (n=1), and design (n=1). Individuals who do not have access to health care and perceive to have a stigmatizing condition are more likely to use this technology. The accuracy of this technology varied substantially based on the disease examined and platform used. Women and those with higher education were more likely to choose the right diagnosis out of the potential list of diagnoses. Regulation of this technology is lacking in most parts of the world; however, they are currently under development. Conclusions There are prominent research gaps in the literature surrounding the use of artificially intelligent self-diagnosing digital platforms. Given the variety of digital platforms and the wide array of diseases they cover, measuring accuracy is cumbersome. More research is needed to understand the user experience and inform regulations.

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Section: Discussionmentioning

confidence: 99%

The Use of Artificially Intelligent Self-Diagnosing Digital Platforms by the General Public: Scoping Review

Aboueid¹,

Liu²,

Desta³

et al. 2019

JMIR Med Inform

Self Cite

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“…Weight stigma in healthcare settings has been shown to affect healthcare quality and clinical decision-making [ 25 ]. Patients who experience weight stigma tend to limit their interactions with the healthcare system [ 26 ], which hinders their efforts to tackle obesity [ 25 , 27 , 28 ]. Some practitioners were less inclined to perform cervical cancer screening on patients with obesity, which led to delays in having the screening [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

The perceptions of healthcare practitioners on obesity management in Peninsular Malaysia: a cross-sectional survey

Yunus

Russell

Muhamad

et al. 2023

BMC Health Serv Res

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Background Practitioners’ perceptions of patients with obesity and obesity management shape their engagement in obesity care delivery. This study aims to describe practitioners’ perceptions, experiences and needs in managing patients with obesity, determine the extent of weight stigma among health practitioners, and identify the factors associated with negative judgment towards patients with obesity. Methods A cross-sectional online survey was conducted from May to August 2022 with health practitioners commonly involved in obesity management in Peninsular Malaysia, including doctors in primary care, internal medicine and bariatric surgery, and allied health practitioners. The survey explored practitioners’ perceptions, barriers and needs in managing obesity, and evaluated weight stigma using the Universal Measures of Bias – Fat (UMB Fat) questionnaire. Multiple linear regression analysis was used to identify demographic and clinical-related factors associated with higher negative judgment towards patients with obesity. Results A total of 209 participants completed the survey (completion rate of 55.4%). The majority (n = 196, 94.3%) agreed that obesity is a chronic disease, perceived a responsibility to provide care (n = 176, 84.2%) and were motivated to help patients to lose weight (n = 160, 76.6%). However, only 22% (n = 46) thought their patients were motivated to lose weight. The most frequently reported barriers to obesity discussions were short consultation time, patients’ lack of motivation, and having other, more important, concerns to discuss. Practitioners needed support with access to multi-disciplinary care, advanced obesity training, financing, comprehensive obesity management guidelines and access to obesity medications. The mean (SD) of the UMB Fat summary score was 2.99 (0.87), with the mean (SD) domain scores ranging between 2.21 and 4.36 (1.06 to 1.45). No demographic and clinical-related factors were significantly associated with negative judgment from the multiple linear regression analyses. Conclusion Practitioners in this study considered obesity a chronic disease. While they had the motivation and capacity to engage in obesity management, physical and social opportunities were the reasons for not discussing obesity with their patients. Practitioners needed more support to enhance their capability and opportunity to engage with obesity management. Weight stigma in healthcare settings in Malaysia should be addressed, given the possibility of hindering weight discussions with patients.

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Lifetime prevalence and correlates of colorectal cancer screening among low-income U.S. Veterans

Beydoun,

Tsai

2024

Cancer Causes Control

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Factors affecting access and use of preventive and weight management care: A public health lens

Cited by 3 publications

References 73 publications

The Use of Artificially Intelligent Self-Diagnosing Digital Platforms by the General Public: Scoping Review

The Use of Artificially Intelligent Self-Diagnosing Digital Platforms by the General Public: Scoping Review

The perceptions of healthcare practitioners on obesity management in Peninsular Malaysia: a cross-sectional survey

Lifetime prevalence and correlates of colorectal cancer screening among low-income U.S. Veterans

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