Evaluating a mobile application for improving clinical laboratory test ordering and diagnosis

Meyer, Ashley N. D.; Thompson, Pamela J.; Khanna, Arushi; Desai, Samir P.; Mathews, Benji; Yousef, Elham; Kusnoor, Anita V; Singh, Hardeep

doi:10.1093/jamia/ocy026

Cited by 15 publications

(8 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of these devices are equipped with sensors and modules such as an ambient light sensor, camera, microphone, digital compass, touch-sensitive screen, accelerometer, Bluetooth, Wi-Fi and Global Positioning System (GPS), among others which has promoted various innovative mHealth applications [ 27 , 28 ]. A variety of applications has aimed at supporting disease surveillance [ 29 ], promoting health education and behavioral change [ 30 , 31 ], supporting the diagnosis [ 32 ] as well as improving the treatment and adherence to medication [ 33 ], among others. Apart from mobile apps, other mobile phone services (e.g.…”

Section: Introductionmentioning

confidence: 99%

The use of mobile phones for the prevention and control of arboviral diseases: a scoping review

et al. 2021

View full text Add to dashboard Cite

Background The rapid expansion of dengue, Zika and chikungunya with large scale outbreaks are an increasing public health concern in many countries. Additionally, the recent coronavirus pandemic urged the need to get connected for fast information transfer and exchange. As response, health programmes have -among other interventions- incorporated digital tools such as mobile phones for supporting the control and prevention of infectious diseases. However, little is known about the benefits of mobile phone technology in terms of input, process and outcome dimensions. The purpose of this scoping review is to analyse the evidence of the use of mobile phones as an intervention tool regarding the performance, acceptance, usability, feasibility, cost and effectiveness in dengue, Zika and chikungunya control programmes. Methods We conducted a scoping review of studies and reports by systematically searching: i) electronic databases (PubMed, PLOS ONE, PLOS Neglected Tropical Disease, LILACS, WHOLIS, ScienceDirect and Google scholar), ii) grey literature, using Google web and iii) documents in the list of references of the selected papers. Selected studies were categorized using a pre-determined data extraction form. Finally, a narrative summary of the evidence related to general characteristics of available mobile health tools and outcomes was produced. Results The systematic literature search identified 1289 records, 32 of which met the inclusion criteria and 4 records from the reference lists. A total of 36 studies were included coming from twenty different countries. Five mobile phone services were identified in this review: mobile applications (n = 18), short message services (n=7), camera phone (n = 6), mobile phone tracking data (n = 4), and simple mobile communication (n = 1). Mobile phones were used for surveillance, prevention, diagnosis, and communication demonstrating good performance, acceptance and usability by users, as well as feasibility of mobile phone under real life conditions and effectiveness in terms of contributing to a reduction of vectors/ disease and improving users-oriented behaviour changes. It can be concluded that there are benefits for using mobile phones in the fight against arboviral diseases as well as other epidemic diseases. Further studies particularly on acceptance, cost and effectiveness at scale are recommended.

show abstract

Section: Introductionmentioning

confidence: 99%

The use of mobile phones for the prevention and control of arboviral diseases: a scoping review

et al. 2021

View full text Add to dashboard Cite

show abstract

“…This study will gather quantity and quality indicators as response variables within the context of antibiotic consumption to be statistically analyzed on an intention-to-treat basis. The tool should undertake a validation, in which the outcomes from the use of the mobile tool will be compared with those within the usual clinical decision setting (without the tool) together with a user survey regarding the user experience and usefulness of the app [ 23 ].…”

Section: Discussionmentioning

confidence: 99%

A Mobile App to Support Clinical Diagnosis of Upper Respiratory Problems (eHealthResp): Co-Design Approach

Moura¹,

Almeida²,

Roque³

et al. 2021

J Med Internet Res

View full text Add to dashboard Cite

Background The misuse of antibiotics is a global public health issue that fosters bacterial resistance and jeopardizes generational health. The development of validated tools such as web-based courses and mobile apps to enhance clinical decisions in upper respiratory infections is of great importance in reducing the incorrect use of antibiotics in these situations. Objective The aim of this study was to design and prevalidate the interface of a mobile app to assist and provide clinical support in the diagnosis of upper respiratory problems. We aimed to assess the adequacy and usability of the interface of the tool in the belief that it could be beneficial to health care delivery in the clinical decision setting. Methods Using a co-design approach that brought together professionals in interface design and experts in pharmacology and pharmacoepidemiology, the mobile app interface was evaluated through peer review sessions held by interface design professionals on a heuristic survey. The reviewers accessed a high-fidelity interactive mock-up of the interface and filled in a questionnaire to assess the dimensions of layout and visual design and navigation and tasks. The resulting feedback of this evaluation supported the redesign of the primary interface, which was assessed for the second time by 2 of the previously mentioned reviewers. Results With 4 as the highest score, the interface scored a mean of 3.16 (SD 0.45; median of the means 3.2) for layout and visual design and a mean of 3.43 (SD 0.33; median of the means 3.51) for navigation and tasks, reflecting an overall positive evaluation. The open-ended commentaries allowed us to better understand specific recommendations of the reviewers. Throughout this section, approximately 0.98 comments per parameter were registered, reflecting a high level of effectiveness of the chosen parameters in identifying potential problems. The resultant beta version of the interface, addressing the majority of the detected problems, was further assessed by 2 of the previous reviewers, validating the new design. Future tests with physicians and pharmacists will help assess credibility and user experience dimensions. Conclusions Our study revealed that the designed interface is easy to interpret and use. Peer reviewers raised important issues that could be easily fixed and positively reassessed. As a result, the study enabled us to produce a new tool for interface usability assessment and a set of recommendations for developing mobile interfaces for clinical decision support systems in the scope of upper respiratory problems.

show abstract

“…However, an evaluation of apps with regard to the impact on test ordering would be meaningful. Meyer et al [ 49 ] propose an approach with patient vignettes that have to be solved either with the PTT Advisor or with usual clinical decision support. The results indicate a superiority of the PTT Advisor regarding test ordering and diagnostic decision-making.…”

Section: Possible Strategies To Avoid Inappropriate Test Utilizationmentioning

confidence: 99%

Laboratory Demand Management Strategies—An Overview

et al. 2021

View full text Add to dashboard Cite

Inappropriate laboratory test selection in the form of overutilization as well as underutilization frequently occurs despite available guidelines. There is broad approval among laboratory specialists as well as clinicians that demand management strategies are useful tools to avoid this issue. Most of these tools are based on automated algorithms or other types of machine learning. This review summarizes the available demand management strategies that may be adopted to local settings. We believe that artificial intelligence may help to further improve these available tools.

show abstract

Evaluating a mobile application for improving clinical laboratory test ordering and diagnosis

Cited by 15 publications

References 14 publications

The use of mobile phones for the prevention and control of arboviral diseases: a scoping review

The use of mobile phones for the prevention and control of arboviral diseases: a scoping review

A Mobile App to Support Clinical Diagnosis of Upper Respiratory Problems (eHealthResp): Co-Design Approach

Laboratory Demand Management Strategies—An Overview

Contact Info

Product

Resources

About