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

Moura, João; Almeida, Ana Margarida Pisco; Roque, Fátima; Figueiras, Adolfo; Herdeiro, María Teresa

doi:10.2196/19194

Cited by 7 publications

(4 citation statements)

References 49 publications

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“…In the study of Karthikeyan et al, (2019) a total of 475 applications related to eye care were identified on the Android platform, yet ophthalmologists participated in the design and development of only 107 (22.53%) applications [ 39 ]. The design of clinical systems according to the opinion of users with different backgrounds helps to interpret and use the systems more easily and consequently enhance them [ 40 , 41 ]; it is therefore recommended to use the opinions of both technical and clinical experts in designing these systems more fully from technical and clinical perspective.…”

Section: Discussionmentioning

confidence: 99%

An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application

Shaeri

Shoeibi

Hosseini

et al. 2023

BMC Med Inform Decis Mak

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Background Today, clinical decision support systems based on artificial intelligence can significantly help physicians in the correct diagnosis and quick rapid treatment of endophthalmitis as the most important cause of blindness in emergency diseases. This study aimed to design, develop, and evaluate an intelligent decision support system for acute postoperative endophthalmitis. Methods This study was conducted in 2020–2021 in three phases: analysis, design and development, and evaluation. The user needs and the features of the system were identified through interviews with end users. Data were analyzed using thematic analysis. The list of clinical signs of acute postoperative endophthalmitis was provided to ophthalmologists for prioritization. 4 algorithms support vector machine, decision tree classifier, k-nearest neighbors, and random forest were used in the design of the computing core of the system for disease diagnosis. The acute postoperative endophthalmitis diagnosis application was developed for using by physicians and patients. Based on the data of 60 acute postoperative endophthalmitis patients, 143 acute postoperative endophthalmitis records and 12 non-acute postoperative endophthalmitis records were identified. The learning process of the algorithm was performed on 70% of the data and 30% of the data was used for evaluation. Results The most important features of the application for physicians were selecting clinical signs and symptoms, predicting diagnosis based on artificial intelligence, physician–patient communication, selecting the appropriate treatment, and easy access to scientific resources. The results of the usability evaluation showed that the application was good with a mean (± SD) score of 7.73 ± 0.53 out of 10. Conclusion A decision support system with accuracy, precision, sensitivity and specificity, negative predictive values, F-measure and area under precision-recall curve 100% was created thanks to widespread participation, the use of clinical specialists' experiences and their awareness of patients' needs, as well as the availability of a comprehensive acute postoperative endophthalmitis clinical dataset.

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Section: Discussionmentioning

confidence: 99%

An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application

Shaeri

Shoeibi

Hosseini

et al. 2023

BMC Med Inform Decis Mak

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“…The eHealthResp mobile app is an e-health tool developed to assist primary care physicians in advising patients in cases of respiratory tract disorders (see Supplementary Material S2 ). It includes a physician profile composed of five algorithms based on the suspected disease: (i) acute otitis media, (ii) acute rhinosinusitis, (iii) acute pharyngotonsillitis, (iv) acute tracheobronchitis, and (v) community-acquired pneumonia, and guides the most likely diagnosis and potential therapeutic approaches, based on respiratory symptoms [ 23 , 25 ].…”

Section: Methodsmentioning

confidence: 99%

“…Both the courses and the mobile application have been previously validated by experts in relation to their contents (including the clinical cases) by using the Delphi Method approach [ 22 ], as well as for their usability, through usability testing [ 23 , 24 ], thus highlighting its user-friendliness, consistency, and usefulness.…”

Section: Methodsmentioning

confidence: 99%

eHealthResp, a Digital Intervention to Improve Antibiotic Prescribing in Respiratory Infections: A Pilot Study

Silva

Estrela

Magalhães

et al. 2022

Life

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The emergence of antibiotic resistance (ABR) is one of the most serious public health threats worldwide. The inappropriate use of antibiotics is considered the main determinant for the increase and development of ABR, contributing to a greater risk of therapeutic ineffectiveness, particularly within primary care context. Therefore, this pilot study aims to raise awareness and promote an adequate antibiotic use among physicians, through the evaluation of the eHealthResp platform, a digital intervention composed by an online course and a mobile application, to aid in the management of respiratory tract infections. The global validation of the eHealthResp platform was carried out by 12 physicians who explored and performed a quantitative and qualitative evaluation of the contents of the online course and mobile app. The global evaluation of the analyzed parameters was very positive, with the highest median scores being attributed to adequacy, correction, format, and trust of the eHealthResp platform. The qualitative feedback enhanced the contents’ relevance, clarity, and consolidation, as well as the effectiveness of the educational intervention against ABR. Overall, this study revealed that the eHealthResp may be regarded as an important e-health tool for the management of respiratory tract infections and improvement of antibiotic prescription practices among physicians.

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“…Evidence suggests that mobile phone apps can facilitate medication adherence by using functions such as reminder alerts and providing access to drug information [11]. Furthermore, many mobile apps to support health care professionals during their practice have been developed [12][13][14], thus promoting personalized and efficient health care. Therefore, the potential of MEDs, including laptops, tablets, and especially mobile phones, related to facilitating activation to navigate health information on the web is expected to be highly advantageous to not only patients but also health professionals.…”

Section: Introductionmentioning

confidence: 99%

Mobile Electronic Devices as Means of Facilitating Patient Activation and Health Professional Empowerment Related to Information Seeking on Chronic Conditions and Medications: Qualitative Study

Imeri

Desselle

Hetemi

et al. 2021

JMIR Mhealth Uhealth

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Background Patient activation has an impact on the management of patients’ health, clinical outcomes, and treatment costs. Mobile electronic devices (MEDs) have shown the potential to engage patients in wellness behavior. Furthermore, the potentially positive role of MEDs is evident in supporting health professionals in their practice. Objective This study aims to explore the impact of MEDs on patient activation to search for information on chronic conditions and medications and the impact of MEDs on the empowerment of health professionals or future health professionals. Methods We conducted 6 focus groups—2 with health sciences students, 2 with health professionals, and 2 with hospitalized patients with chronic conditions. A protocol comprising eight questions was used to guide discussions. Audio-recorded data were transcribed verbatim and analyzed thematically; a ranking system was used to analyze the relevance of identified themes and subthemes, using a coding system depicted by the + symbol, to indicate different relevance levels. Results Our results suggest that MEDs can positively affect patient activation to search for chronic conditions and medication information by facilitating patients’ information-seeking behavior. Key drivers leading to patients’ activation to seek information related to chronic conditions and medications through MEDs were the accessibility and abundance of available and detailed information, reduced search time, information updates, and convenience in finding information at any time and place. The lack of accurate information in one’s native language, access to incorrect information, and limited access to the internet were key obstacles to seeking information related to chronic conditions and medications via MEDs. In addition, findings of this study suggest that MEDs in general and mobile apps, in particular, may have a positive impact on the work routine of health care professionals as they enable them to make quicker decisions by accessing the required information faster, thus improving practice efficiency. Furthermore, the appropriate usage of MEDs by patients for seeking information about their chronic conditions and medications may positively impact the physician-patient relationship. All focus groups recognized the questionable reliability of health information on the internet and its potential negative effects on patients. Therefore, our findings suggest the need for an additional role of health professionals in assisting patients in using MEDs to search for health and medication information, such as providing reliable websites and mobile apps where patients can safely search for health-related information on the web. Conclusions The use of MEDs may help activate patients to seek chronic conditions and medication-related information, potentially leading to better management of their chronic conditions and medications. Our findings also highlight the positive impact MEDs may have on empowering health professionals in their practice and the need for health professionals to help patients through specific education that addresses MEDs utilization for chronic conditions and medication information seeking.

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

Cited by 7 publications

References 49 publications

An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application

An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application

eHealthResp, a Digital Intervention to Improve Antibiotic Prescribing in Respiratory Infections: A Pilot Study

Mobile Electronic Devices as Means of Facilitating Patient Activation and Health Professional Empowerment Related to Information Seeking on Chronic Conditions and Medications: Qualitative Study

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