Displaying publications 1 - 20 of 40 in total

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  1. Gatellier L, Ong SK, Matsuda T, Ramlee N, Lau FN, Yusak S, et al.
    Asian Pac J Cancer Prev, 2021 Sep 01;22(9):2945-2950.
    PMID: 34582666 DOI: 10.31557/APJCP.2021.22.9.2945
    The COVID-pandemic has shown significant impact on cancer care from early detection, management plan to clinical outcomes of cancer patients. The Asian National Cancer Centres Alliance (ANCCA) has put together the 9 "Ps" as guidelines for cancer programs to better prepare for the next pandemic. The 9 "Ps" are Priority, Protocols and Processes, Patients, People, Personal Protective Equipments (PPEs), Pharmaceuticals, Places, Preparedness, and Politics. Priority: to maintain cancer care as a key priority in the health system response even during a global infectious disease pandemic. Protocol and processes: to develop a set of Standard Operating Procedures (SOPs) and have relevant expertise to man the Disease Outbreak Response (DORS) Taskforce before an outbreak. Patients: to prioritize patient safety in the event of an outbreak and the need to reschedule cancer management plan, supported by tele-consultation and use of artificial intelligence technology. People: to have business continuity planning to support surge capacity. PPEs and Pharmaceuticals: to develop plan for stockpiles management, build local manufacturing capacity and disseminate information on proper use and reduce wastage. Places: to design and build cancer care facilities to cater for the need of triaging, infection control, isolation and segregation. Preparedness: to invest early on manpower building and technology innovations through multisectoral and international collaborations. Politics: to ensure leadership which bring trust, cohesion and solidarity for successful response to pandemic and mitigate negative impact on the healthcare system.
    Matched MeSH terms: Telemedicine/methods*
  2. Munusamy T, Karuppiah R, Bahuri NFA, Sockalingam S, Cham CY, Waran V
    World Neurosurg, 2021 01;145:e53-e60.
    PMID: 32956888 DOI: 10.1016/j.wneu.2020.09.076
    OBJECTIVE: The coronavirus disease 2019 pandemic poses major risks to health care workers in neurocritical care. Recommendations are in place to limit medical personnel attending to the neurosurgical patient as a protective measure and to conserve personal protective equipment. However, the complexity of the neurosurgical patient proves to be a challenge and an opportunity for innovation. The goal of our study was to determine if telemedicine delivered through smart glasses was feasible and effective in an alternative method of conducting ward round on neurocritical care patients during the pandemic.

    METHODS: A random pair of neurosurgery resident and specialist conducted consecutive virtual and physical ward rounds on neurocritical patients. A virtual ward round was first conducted remotely by a specialist who received real-time audiovisual information from a resident wearing smart glasses integrated with telemedicine. Subsequently, a physical ward round was performed together by the resident and specialist on the same patient. The management plans of both ward rounds were compared, and the intrarater reliability was measured. On study completion a qualitative survey was performed.

    RESULTS: Ten paired ward rounds were performed on 103 neurocritical care patients with excellent overall intrarater reliability. Nine out of 10 showed good to excellent internal consistency, and 1 showed acceptable internal consistency. Qualitative analysis indicated wide user acceptance and high satisfaction rate with the alternative method.

    CONCLUSIONS: Virtual ward rounds using telemedicine via smart glasses on neurosurgical patients in critical care were feasible, effective, and widely accepted as an alternative to physical ward rounds during the coronavirus disease 2019 pandemic.

    Matched MeSH terms: Telemedicine/methods*
  3. Krishnan A, Weikum D, Cravero C, Kamarulzaman A, Altice FL
    PLoS One, 2021;16(3):e0248705.
    PMID: 33755693 DOI: 10.1371/journal.pone.0248705
    BACKGROUND: Mobile health (mHealth) can be beneficial in monitoring the complex healthcare regimen for people with HIV that includes adhering to medication and refraining from risky practices such as unsafe sex and injection drug use. Not only is mHealth often implemented without appropriate feasibility and acceptability research, but there is limited mHealth research among key HIV-positive populations such as men who have sex with men (MSM) and transgender women (TGW).

    METHODS: This study assessed access to and use of mobile technology and acceptability of mHealth among 150 HIV-positive MSM and TGW who were prescribed antiretroviral therapy (ART) in Malaysia-an emerging economy with rapid telecommunications growth and societal stigma against these groups.

    RESULTS: Findings among the 114 MSM and 36 TGW reveal high levels of depression (42%), stigma (2.53/4.00) and risky sexual behavior (30%), and suboptimal ART adherence (22%). On the other hand, the sample had excellent access to smartphones (75.3%) and the internet (78%), and had high acceptance of mHealth especially for those with suboptimal ART adherence.

    CONCLUSION: In settings like Malaysia where homosexuality and cross-dressing are socially and legally stigmatized, HIV prevention and treatment strategies delivered using an mHealth platform have the potential to overcome in-person barriers.

    Matched MeSH terms: Telemedicine/methods*
  4. Silva H, Chellappan K, Karunaweera N
    Comput Math Methods Med, 2021;2021:4208254.
    PMID: 34873414 DOI: 10.1155/2021/4208254
    Skin lesions are a feature of many diseases including cutaneous leishmaniasis (CL). Ulcerative lesions are a common manifestation of CL. Response to treatment in such lesions is judged through the assessment of the healing process by regular clinical observations, which remains a challenge for the clinician, health system, and the patient in leishmaniasis endemic countries. In this study, image processing was initially done using 40 CL lesion color images that were captured using a mobile phone camera, to establish a technique to extract features from the image which could be related to the clinical status of the lesion. The identified techniques were further developed, and ten ulcer images were analyzed to detect the extent of inflammatory response and/or signs of healing using pattern recognition of inflammatory tissue captured in the image. The images were preprocessed at the outset, and the quality was improved using the CIE L∗a∗b color space technique. Furthermore, features were extracted using the principal component analysis and profiled using the signal spectrogram technique. This study has established an adaptive thresholding technique ranging between 35 and 200 to profile the skin lesion images using signal spectrogram plotted using Signal Analyzer in MATLAB. The outcome indicates its potential utility in visualizing and assessing inflammatory tissue response in a CL ulcer. This approach is expected to be developed further to a mHealth-based prediction algorithm to enable remote monitoring of treatment response of cutaneous leishmaniasis.
    Matched MeSH terms: Telemedicine/methods*
  5. Maqsood A, Sadiq MSK, Mirza D, Ahmed N, Lal A, Alam MK, et al.
    Biomed Res Int, 2021;2021:5437237.
    PMID: 34845437 DOI: 10.1155/2021/5437237
    Objective: The present study was aimed at assessing the impact of teledentistry, its application, and trends in uplifting dental practice and clinical care around the world. Material and Methods. The present observational study comprised of an electronic survey distributed among dental professionals around the globe. The validated survey form consisted of a total 26 questions with 5-point Likert scale response. The questionnaire used was divided into four domains: usefulness of teledentistry for patients, its usefulness in dental practice, its capacity to improve the existing practice, and the concerns attached to its use. The statistical analysis was performed using SPSS-25. ANOVA test was used to assess the effect of independent variables on dependent variables. A p value of ≤0.05 was taken as statistically significant.

    Results: A total of 506 dental professionals participated in the study with the response rate of 89.39%. More than half of the participants (50-75%) endorsed that teledentistry is a useful tool for improving clinical practice as well as patient care. Two-thirds of the participants (69.96%) considered that teledentistry would reduce cost for the dental practices. On the other hand, about 50-70% of dental professionals expressed their concerns regarding the security of the data and consent of patients. The most preferred communication tool for teledentistry was reported to be videoconference followed by phone. The majority of participants recommended the use of teledentistry in the specialty of oral medicine, operative dentistry, and periodontics. There was a significant difference between the age, experience of dentists, and their qualifications with domains of teledentistry.

    Conclusions: The overall impact of dental professionals towards teledentistry was positive with adequate willingness to incorporate this modality in their clinical practice. However, the perceived concerns pertaining to teledentistry are significant impediments towards its integration within the oral health system. An in-depth study of its business model and cost-benefit needs of time, especially in the context of developing countries, in order to avail the optimum benefits of teledentistry.

    Matched MeSH terms: Telemedicine/methods*
  6. Subhan R, Ismail WA, Musharraf S, Khan M, Hafeez R, Alam MK
    Biomed Res Int, 2021;2021:8757859.
    PMID: 34540998 DOI: 10.1155/2021/8757859
    The current scenario of the COVID-19 pandemic has forced dentists to seek different options for delivering healthcare services other than the in-person direct examination in clinical practice. Teledentistry is one of the options for remote patient care and monitoring. Objective. The present survey was conducted to assess the knowledge and perception of the dentists in Pakistan regarding teledentistry as an emergent supportive tool. Materials and Methods. A self-administered, close-ended, and prevalidated survey questionnaire was used, comprising 21 questions, and distributed electronically via e-mail, WhatsApp, and Facebook Messenger to evaluate the knowledge and perception of dentists regarding teledentistry. The data collected was compiled in a systematic manner and analyzed in terms of frequency (yes/no). Results. Out of a total of 350 dentists, 325 responded to the questionnaire, and it was seen that 62.5% of them did not have knowledge about teledentistry prior to COVID-19. 65.8% of dentists considered the practice of teledentistry in nonpandemic situations in the future. Conclusion. In the present study, it was observed that most of the dental professionals had inadequate knowledge about teledentistry before COVID-19, but the awareness and perception regarding teledentistry were currently satisfactory among the dental professionals in Pakistan. This emerging trend gives a positive hope for the implementation of teledentistry in the healthcare setup of Pakistan in the near future, as it will prove to be beneficial for safe dental practice during times of pandemic and even after.
    Matched MeSH terms: Telemedicine/methods*
  7. Dubin JM, Wyant WA, Balaji NC, Ong WL, Kettache RH, Haffaf M, et al.
    J Med Internet Res, 2020 11 05;22(11):e21875.
    PMID: 33031047 DOI: 10.2196/21875
    BACKGROUND: Prior to the COVID-19 pandemic, urology was one of the specialties with the lowest rates of telemedicine and videoconferencing use. Common barriers to the implementation of telemedicine included a lack of technological literacy, concerns with reimbursement, and resistance to changes in the workplace. In response to the COVID-19 pandemic declared in March 2020, the delivery of urological services globally has quickly shifted to telemedicine to account for the mass clinical, procedural, and operative cancellations, inadequate personal protective equipment, and shortage of personnel.

    OBJECTIVE: The aim of this study was to investigate current telemedicine usage by urologists, urologists' perceptions on the necessity of in-person clinic appointments, the usability of telemedicine, and the current barriers to its implementation.

    METHODS: We conducted a global, cross-sectional, web-based survey to investigate the use of telemedicine before and after the COVID-19 pandemic. Urologists' perceived usability of telemedicine was assessed using a modified Delphi approach to create questions based on a modified version of the validated Telehealth Usability Questionnaire (TUQ). For the purposes of this study, telemedicine was defined as video calls only.

    RESULTS: A total of 620 urologists from 58 different countries and 6 continents participated in the survey. Prior to COVID-19, 15.8% (n=98) of urologists surveyed were using telemedicine in their clinical practices; during the pandemic, that proportion increased to 46.1% (n=283). Of the urologists without telemedicine experience, interest in telemedicine usage increased from 43.7% (n=139) to 80.8% (n=257) during the COVID-19 pandemic. Among urologists that used telemedicine during the pandemic, 80.9% (n=244) were interested in continuing to use it in their practice. The three most commonly used platforms were Zoom, Doxy.me, and Epic, and the top three barriers to implementing telemedicine were patients' lack of technological comprehension, patients' lack of access to the required technology, and reimbursement concerns.

    CONCLUSIONS: This is the first study to quantify the use, usability, and pervading interest in telemedicine among urologists during the COVID-19 pandemic. In the face of this pandemic, urologists' usage of telemedicine nearly tripled, demonstrating their ability to adopt and adapt telemedicine into their practices, but barriers involving the technology itself are still preventing many from utilizing it despite increasing interest.

    Matched MeSH terms: Telemedicine/methods*
  8. Ming LC, Untong N, Aliudin NA, Osili N, Kifli N, Tan CS, et al.
    JMIR Mhealth Uhealth, 2020 09 16;8(9):e19796.
    PMID: 32609622 DOI: 10.2196/19796
    BACKGROUND: Mobile health (mHealth) app use is a major concern because of the possible dissemination of misinformation that could harm the users. Particularly, it can be difficult for health care professionals to recommend a suitable app for coronavirus disease (COVID-19) education and self-monitoring purposes.

    OBJECTIVE: This study aims to analyze and evaluate the contents as well as features of COVID-19 mobile apps. The findings are instrumental in helping health care professionals to identify suitable mobile apps for COVID-19 self-monitoring and education. The results of the mobile apps' assessment could potentially help mobile app developers improve or modify their existing mobile app designs to achieve optimal outcomes.

    METHODS: The search for the mHealth apps available in the android-based Play Store and the iOS-based App Store was conducted between April 18 and May 5, 2020. The region of the App Store where we performed the search was the United States, and a virtual private network app was used to locate and access COVID-19 mobile apps from all countries on the Google Play Store. The inclusion criteria were apps that are related to COVID-19 with no restriction in language type. The basic features assessment criteria used for comparison were the requirement for free subscription, internet connection, education or advisory content, size of the app, ability to export data, and automated data entry. The functionality of the apps was assessed according to knowledge (information on COVID-19), tracing or mapping of COVID-19 cases, home monitoring surveillance, online consultation with a health authority, and official apps run by health authorities.

    RESULTS: Of the 223 COVID-19-related mobile apps, only 30 (19.9%) found in the App Store and 28 (44.4%) in the Play Store matched the inclusion criteria. In the basic features assessment, most App Store (10/30, 33.3%) and Play Store (10/28, 35.7%) apps scored 4 out of 7 points. Meanwhile, the outcome of the functionality assessment for most App Store apps (13/30, 43.3%) was a score of 3 compared to android-based apps (10/28, 35.7%), which scored 2 (out of the maximum 5 points). Evaluation of the basic functions showed that 75.0% (n=36) of the 48 included mobile apps do not require a subscription, 56.3% (n=27) provide symptom advice, and 41.7% (n=20) have educational content. In terms of the specific functions, more than half of the included mobile apps are official mobile apps maintained by a health authority for COVID-19 information provision. Around 37.5% (n=18) and 31.3% (n=15) of the mobile apps have tracing or mapping and home monitoring surveillance functions, respectively, with only 17% (n=8) of the mobile apps equipped with an online consultation function.

    CONCLUSIONS: Most iOS-based apps incorporate infographic mapping of COVID-19 cases, while most android-based apps incorporate home monitoring surveillance features instead of providing focused educational content on COVID-19. It is important to evaluate the contents and features of COVID-19 mobile apps to guide users in choosing a suitable mobile app based on their requirements.

    Matched MeSH terms: Telemedicine/methods*
  9. Ahmad NA, Mat Ludin AF, Shahar S, Mohd Noah SA, Mohd Tohit N
    BMJ Open, 2020 Mar 16;10(3):e033870.
    PMID: 32184309 DOI: 10.1136/bmjopen-2019-033870
    INTRODUCTION: The world's older population continues to grow at an unprecedented rate. An ageing population poses a great challenge to our healthcare system that requires new tool to tackle the complexity of health services as well as the increasing expenses. Mobile health applications (mHealth app) is seen to have the potential to address these challenges, alleviating burdens on the healthcare system and enhance the quality of life for older adults. Despite the numerous benefits of mHealth apps, relatively little is known about whether older adults perceive that these apps confer such benefits. Their perspectives towards the use of mobile applications for health-related purposes have also been little studied. Therefore, in this paper, we outline our scoping review protocol to systematically review literature specific to older adults' willingness, perceived barriers and motivators towards the use of mobile applications to monitor and manage their health.

    METHODS AND ANALYSIS: Arksey and O'Malley's scoping review methodology framework will guide the conduct of this scoping review. The search strategy will involve electronic databases including PubMed, Excerpta Medica Database, Cumulative Index of Nursing and Allied Health Literature, Cochrane Library, Google Scholar and ScienceDirect, in addition to grey literature sources and hand-searching of reference lists. Two reviewers will independently screen all abstracts and full-text studies for inclusion. Data will be charted and sorted through an iterative process by the research team. The extracted data will undergo a descriptive analysis and simple quantitative analysis will be conducted using descriptive statistics. Engagement with relevant stakeholders will be carried out to gain more insights into our data from different perspectives.

    ETHICS AND DISSEMINATION: Since the data used are from publicly available sources, this study does not require ethical approval. Results will be disseminated through academic journals, conferences and seminars. We anticipate that our findings will aid technology developers and health professionals working in the area of ageing and rehabilitation.

    Matched MeSH terms: Telemedicine/methods*
  10. Almahdi EM, Zaidan AA, Zaidan BB, Alsalem MA, Albahri OS, Albahri AS
    J Med Syst, 2019 May 29;43(7):207.
    PMID: 31144129 DOI: 10.1007/s10916-019-1336-z
    This paper presents comprehensive insights into mobile patient monitoring systems (MPMSs) from evaluation and benchmarking aspects on the basis of two critical directions. The current evaluation criteria of MPMSs based on the architectural components of MPMSs and possible solutions are discussed. This review highlights four serious issues, namely, multiple evaluation criteria, criterion importance, unmeasurable criteria and data variation, in MPMS benchmarking. Multicriteria decision-making (MCDM) analysis techniques are proposed as effective solutions to solve these issues from a methodological aspect. This methodological aspect involves a framework for benchmarking MPMSs on the basis of MCDM to rank available MPMSs and select a suitable one. The benchmarking framework is discussed in four steps. Firstly, pre-processing and identification procedures are presented. Secondly, the procedure of weight calculation based on the best-worst method (BWM) is described. Thirdly, the development of a benchmark framework by using the VIKOR method is introduced. Lastly, the proposed framework is validated.
    Matched MeSH terms: Telemedicine/methods*
  11. Talal M, Zaidan AA, Zaidan BB, Albahri AS, Alamoodi AH, Albahri OS, et al.
    J Med Syst, 2019 Jan 15;43(3):42.
    PMID: 30648217 DOI: 10.1007/s10916-019-1158-z
    The Internet of Things (IoT) has been identified in various applications across different domains, such as in the healthcare sector. IoT has also been recognised for its revolution in reshaping modern healthcare with aspiring wide range prospects, including economical, technological and social. This study aims to establish IoT-based smart home security solutions for real-time health monitoring technologies in telemedicine architecture. A multilayer taxonomy is driven and conducted in this study. In the first layer, a comprehensive analysis on telemedicine, which focuses on the client and server sides, shows that other studies associated with IoT-based smart home applications have several limitations that remain unaddressed. Particularly, remote patient monitoring in healthcare applications presents various facilities and benefits by adopting IoT-based smart home technologies without compromising the security requirements and potentially large number of risks. An extensive search is conducted to identify articles that handle these issues, related applications are comprehensively reviewed and a coherent taxonomy for these articles is established. A total number of (n = 3064) are gathered between 2007 and 2017 for most reliable databases, such as ScienceDirect, Web of Science and Institute of Electrical and Electronic Engineer Xplore databases. Then, the articles based on IoT studies that are associated with telemedicine applications are filtered. Nine articles are selected and classified into two categories. The first category, which accounts for 22.22% (n = 2/9), includes surveys on telemedicine articles and their applications. The second category, which accounts for 77.78% (n = 7/9), includes articles on the client and server sides of telemedicine architecture. The collected studies reveal the essential requirement in constructing another taxonomy layer and review IoT-based smart home security studies. Therefore, IoT-based smart home security features are introduced and analysed in the second layer. The security of smart home design based on IoT applications is an aspect that represents a crucial matter for general occupants of smart homes, in which studies are required to provide a better solution with patient security, privacy protection and security of users' entities from being stolen or compromised. Innovative technologies have dispersed limitations related to this matter. The existing gaps and trends in this area should be investigated to provide valuable visions for technical environments and researchers. Thus, 67 articles are obtained in the second layer of our taxonomy and are classified into six categories. In the first category, 25.37% (n = 17/67) of the articles focus on architecture design. In the second category, 17.91% (n = 12/67) includes security analysis articles that investigate the research status in the security area of IoT-based smart home applications. In the third category, 10.44% (n = 7/67) includes articles about security schemes. In the fourth category, 17.91% (n = 12/67) comprises security examination. In the fifth category, 13.43% (n = 9/67) analyses security protocols. In the final category, 14.92% (n = 10/67) analyses the security framework. Then, the identified basic characteristics of this emerging field are presented and provided in the following aspects. Open challenges experienced on the development of IoT-based smart home security are addressed to be adopted fully in telemedicine applications. Then, the requirements are provided to increase researcher's interest in this study area. On this basis, a number of recommendations for different parties are described to provide insights on the next steps that should be considered to enhance the security of smart homes based on IoT. A map matching for both taxonomies is developed in this study to determine the novel risks and benefits of IoT-based smart home security for real-time remote health monitoring within client and server sides in telemedicine applications.
    Matched MeSH terms: Telemedicine/methods*
  12. Shuwandy ML, Zaidan BB, Zaidan AA, Albahri AS
    J Med Syst, 2019 Jan 06;43(2):33.
    PMID: 30612191 DOI: 10.1007/s10916-018-1149-5
    The new and groundbreaking real-time remote healthcare monitoring system on sensor-based mobile health (mHealth) authentication in telemedicine has considerably bounded and dispersed communication components. mHealth, an attractive part in telemedicine architecture, plays an imperative role in patient security and privacy and adapts different sensing technologies through many built-in sensors. This study aims to improve sensor-based defence and attack mechanisms to ensure patient privacy in client side when using mHealth. Thus, a multilayer taxonomy was conducted to attain the goal of this study. Within the first layer, real-time remote monitoring studies based on sensor technology for telemedicine application were reviewed and analysed to examine these technologies and provide researchers with a clear vision of security- and privacy-based sensors in the telemedicine area. An extensive search was conducted to find articles about security and privacy issues, review related applications comprehensively and establish the coherent taxonomy of these articles. ScienceDirect, IEEE Xplore and Web of Science databases were investigated for articles on mHealth in telemedicine-based sensor. A total of 3064 papers were collected from 2007 to 2017. The retrieved articles were filtered according to the security and privacy of sensor-based telemedicine applications. A total of 19 articles were selected and classified into two categories. The first category, 57.89% (n = 11/19), included survey on telemedicine articles and their applications. The second category, 42.1% (n = 8/19), included articles contributed to the three-tiered architecture of telemedicine. The collected studies improved the essential need to add another taxonomy layer and review the sensor-based smartphone authentication studies. This map matching for both taxonomies was developed for this study to investigate sensor field comprehensively and gain access to novel risks and benefits of the mHealth security in telemedicine application. The literature on sensor-based smartphones in the second layer of our taxonomy was analysed and reviewed. A total of 599 papers were collected from 2007 to 2017. In this layer, we obtained a final set of 81 articles classified into three categories. The first category of the articles [86.41% (n = 70/81)], where sensor-based smartphones were examined by utilising orientation sensors for user authentication, was used. The second category [7.40% (n = 6/81)] included attack articles, which were not intensively included in our literature analysis. The third category [8.64% (n = 7/81)] included 'other' articles. Factors were considered to understand fully the various contextual aspects of the field in published studies. The characteristics included the motivation and challenges related to sensor-based authentication of smartphones encountered by researchers and the recommendations to strengthen this critical area of research. Finally, many studies on the sensor-based smartphone in the second layer have focused on enhancing accurate authentication because sensor-based smartphones require sensors that could authentically secure mHealth.
    Matched MeSH terms: Telemedicine/methods*
  13. Chongmelaxme B, Lee S, Dhippayom T, Saokaew S, Chaiyakunapruk N, Dilokthornsakul P
    J Allergy Clin Immunol Pract, 2019 01;7(1):199-216.e11.
    PMID: 30055283 DOI: 10.1016/j.jaip.2018.07.015
    BACKGROUND: Telemedicine is increasingly used to improve health outcomes in asthma. However, it is still inconclusive which telemedicine works effectively.

    OBJECTIVE: This study aimed to determine the effects of telemedicine on asthma control and the quality of life in adults.

    METHODS: An electronic search was performed from the inception to March 2018 on the following databases: Cochrane CENTRAL, CINAHL, ClinicalTrials.gov, EMBASE, PubMed, and Scopus. Randomized controlled trials that assessed the effects of telemedicine in adults with asthma were included in this analysis, and the outcomes of interest were levels of asthma control and quality of life. Random-effects model meta-analyses were performed.

    RESULTS: A total of 22 studies (10,281 participants) were included. Each of 11 studies investigated the effects of single-telemedicine and combined-telemedicine (combinations of telemedicine approaches), and the meta-analyses showed that combined tele-case management could significantly improve asthma control compared with usual care (standardized mean difference [SMD] = 0.78; 95% confidence interval [CI]: 0.56, 1.01). Combined tele-case management and tele-consultation (SMD = 0.52 [95% CI: 0.13, 0.91]) and combined tele-consultation (SMD = 0.28 [95% CI: 0.13, 0.44]) also significantly improved asthma outcomes, but to a lesser degree. In addition, combined tele-case management (SMD = 0.59 [95% CI: 0.31, 0.88]) was the most effective telemedicine for improving quality of life, followed by combined tele-case management and tele-consultation (SMD = 0.31 [95% CI: 0.03, 0.59]), tele-case management (SMD = 0.30 [95% CI: 0.05, 0.55]), and combined tele-consultation (SMD = 0.27 [95% CI: 0.11, 0.43]), respectively.

    CONCLUSIONS: Combined-telemedicine involving tele-case management or tele-consultation appear to be effective telemedicine interventions to improve asthma control and quality of life in adults. Our findings are expected to provide health care professionals with current evidence of the effects of telemedicine on asthma control and patients' quality of life.

    Matched MeSH terms: Telemedicine/methods*
  14. Short CE, DeSmet A, Woods C, Williams SL, Maher C, Middelweerd A, et al.
    J Med Internet Res, 2018 11 16;20(11):e292.
    PMID: 30446482 DOI: 10.2196/jmir.9397
    Engagement in electronic health (eHealth) and mobile health (mHealth) behavior change interventions is thought to be important for intervention effectiveness, though what constitutes engagement and how it enhances efficacy has been somewhat unclear in the literature. Recently published detailed definitions and conceptual models of engagement have helped to build consensus around a definition of engagement and improve our understanding of how engagement may influence effectiveness. This work has helped to establish a clearer research agenda. However, to test the hypotheses generated by the conceptual modules, we need to know how to measure engagement in a valid and reliable way. The aim of this viewpoint is to provide an overview of engagement measurement options that can be employed in eHealth and mHealth behavior change intervention evaluations, discuss methodological considerations, and provide direction for future research. To identify measures, we used snowball sampling, starting from systematic reviews of engagement research as well as those utilized in studies known to the authors. A wide range of methods to measure engagement were identified, including qualitative measures, self-report questionnaires, ecological momentary assessments, system usage data, sensor data, social media data, and psychophysiological measures. Each measurement method is appraised and examples are provided to illustrate possible use in eHealth and mHealth behavior change research. Recommendations for future research are provided, based on the limitations of current methods and the heavy reliance on system usage data as the sole assessment of engagement. The validation and adoption of a wider range of engagement measurements and their thoughtful application to the study of engagement are encouraged.
    Matched MeSH terms: Telemedicine/methods*
  15. Mohsin AH, Zaidan AA, Zaidan BB, Albahri AS, Albahri OS, Alsalem MA, et al.
    J Med Syst, 2018 Oct 16;42(12):238.
    PMID: 30327939 DOI: 10.1007/s10916-018-1104-5
    The development of wireless body area sensor networks is imperative for modern telemedicine. However, attackers and cybercriminals are gradually becoming aware in attacking telemedicine systems, and the black market value of protected health information has the highest price nowadays. Security remains a formidable challenge to be resolved. Intelligent home environments make up one of the major application areas of pervasive computing. Security and privacy are the two most important issues in the remote monitoring and control of intelligent home environments for clients and servers in telemedicine architecture. The personal authentication approach that uses the finger vein pattern is a newly investigated biometric technique. This type of biometric has many advantages over other types (explained in detail later on) and is suitable for different human categories and ages. This study aims to establish a secure verification method for real-time monitoring systems to be used for the authentication of patients and other members who are working in telemedicine systems. The process begins with the sensor based on Tiers 1 and 2 (client side) in the telemedicine architecture and ends with patient verification in Tier 3 (server side) via finger vein biometric technology to ensure patient security on both sides. Multilayer taxonomy is conducted in this research to attain the study's goal. In the first layer, real-time remote monitoring studies based on the sensor technology used in telemedicine applications are reviewed and analysed to provide researchers a clear vision of security and privacy based on sensors in telemedicine. An extensive search is conducted to identify articles that deal with security and privacy issues, related applications are reviewed comprehensively and a coherent taxonomy of these articles is established. ScienceDirect, IEEE Xplore and Web of Science databases are checked for articles on mHealth in telemedicine based on sensors. A total of 3064 papers are collected from 2007 to 2017. The retrieved articles are filtered according to the security and privacy of telemedicine applications based on sensors. Nineteen articles are selected and classified into two categories. The first category, which accounts for 57.89% (n = 11/19), includes surveys on telemedicine articles and their applications. The second category, accounting for 42.1% (n = 8/19), includes articles on the three-tiered architecture of telemedicine. The collected studies reveal the essential need to construct another taxonomy layer and review studies on finger vein biometric verification systems. This map-matching for both taxonomies is developed for this study to go deeply into the sensor field and determine novel risks and benefits for patient security and privacy on client and server sides in telemedicine applications. In the second layer of our taxonomy, the literature on finger vein biometric verification systems is analysed and reviewed. In this layer, we obtain a final set of 65 articles classified into four categories. In the first category, 80% (n = 52/65) of the articles focus on development and design. In the second category, 12.30% (n = 8/65) includes evaluation and comparative articles. These articles are not intensively included in our literature analysis. In the third category, 4.61% (n = 3/65) includes articles about analytical studies. In the fourth category, 3.07% (n = 2/65) comprises reviews and surveys. This study aims to provide researchers with an up-to-date overview of studies that have been conducted on (user/patient) authentication to enhance the security level in telemedicine or any information system. In the current study, taxonomy is presented by explaining previous studies. Moreover, this review highlights the motivations, challenges and recommendations related to finger vein biometric verification systems and determines the gaps in this research direction (protection of finger vein templates in real time), which represent a new research direction in this area.
    Matched MeSH terms: Telemedicine/methods*
  16. Fornace KM, Surendra H, Abidin TR, Reyes R, Macalinao MLM, Stresman G, et al.
    Int J Health Geogr, 2018 06 18;17(1):21.
    PMID: 29914506 DOI: 10.1186/s12942-018-0141-0
    BACKGROUND: Identifying fine-scale spatial patterns of disease is essential for effective disease control and elimination programmes. In low resource areas without formal addresses, novel strategies are needed to locate residences of individuals attending health facilities in order to efficiently map disease patterns. We aimed to assess the use of Android tablet-based applications containing high resolution maps to geolocate individual residences, whilst comparing the functionality, usability and cost of three software packages designed to collect spatial information.

    RESULTS: Using Open Data Kit GeoODK, we designed and piloted an electronic questionnaire for rolling cross sectional surveys of health facility attendees as part of a malaria elimination campaign in two predominantly rural sites in the Rizal, Palawan, the Philippines and Kulon Progo Regency, Yogyakarta, Indonesia. The majority of health workers were able to use the tablets effectively, including locating participant households on electronic maps. For all households sampled (n = 603), health facility workers were able to retrospectively find the participant household using the Global Positioning System (GPS) coordinates and data collected by tablet computers. Median distance between actual house locations and points collected on the tablet was 116 m (IQR 42-368) in Rizal and 493 m (IQR 258-886) in Kulon Progo Regency. Accuracy varied between health facilities and decreased in less populated areas with fewer prominent landmarks.

    CONCLUSIONS: Results demonstrate the utility of this approach to develop real-time high-resolution maps of disease in resource-poor environments. This method provides an attractive approach for quickly obtaining spatial information on individuals presenting at health facilities in resource poor areas where formal addresses are unavailable and internet connectivity is limited. Further research is needed on how to integrate these with other health data management systems and implement in a wider operational context.

    Matched MeSH terms: Telemedicine/methods*
  17. Morse SS, Murugiah MK, Soh YC, Wong TW, Ming LC
    Ther Innov Regul Sci, 2018 05;52(3):383-391.
    PMID: 29714538 DOI: 10.1177/2168479017725557
    BACKGROUND: Despite the surge in mobile health (mHealth) applications (apps) about pediatric care in commercial app stores, to our knowledge, reviews of the quality of such apps are lacking. Consequently, it is a great challenge for health care professionals (HCPs) to identify appropriate and reliable mHealth apps for delivering health care services. Thus, we performed a structured review of the extant literature about mHealth apps in pediatric care and quality assessment of selected apps found in commercial app stores.

    METHODS: A review and comparison of mHealth apps in pediatric care found in Google's Play Store (Android system) and Apple's App Store (iOS system) were performed. For the structured review of the available literature, Google Scholar, PubMed, IEEE Xplore Digital Library, and Science Direct online databases were used for the literature search. The assessment criteria used for comparison included requirement for Internet connection, size of application, information on disease, diagnostic tools, medical calculator, information on disease treatments, dosage recommendations, and drug interaction checker.

    RESULTS: Fifty mHealth apps for general pediatric care and 8 mHealth apps for specific pediatric diseases were discussed in the literature. Of the 90 mHealth apps we reviewed, 27 that fulfilled the study criteria were selected for quality assessment. Medscape, Skyscape, and iGuideline scored the highest (score=7), while PediaBP scored the lowest (score=3).

    CONCLUSIONS: Medscape, Skyscape, and iGuideline are the most comprehensive mHealth apps for HCPs as quick references for pediatric care. More studies about mHealth apps in pediatric care are warranted to ensure the quality and reliability of mHealth apps.

    Matched MeSH terms: Telemedicine/methods*
  18. Müller AM, Maher CA, Vandelanotte C, Hingle M, Middelweerd A, Lopez ML, et al.
    J Med Internet Res, 2018 04 18;20(4):e122.
    PMID: 29669703 DOI: 10.2196/jmir.8954
    BACKGROUND: Electronic health (eHealth) and mobile health (mHealth) approaches to address low physical activity levels, sedentary behavior, and unhealthy diets have received significant research attention. However, attempts to systematically map the entirety of the research field are lacking. This gap can be filled with a bibliometric study, where publication-specific data such as citations, journals, authors, and keywords are used to provide a systematic overview of a specific field. Such analyses will help researchers better position their work.

    OBJECTIVE: The objective of this review was to use bibliometric data to provide an overview of the eHealth and mHealth research field related to physical activity, sedentary behavior, and diet.

    METHODS: The Web of Science (WoS) Core Collection was searched to retrieve all existing and highly cited (as defined by WoS) physical activity, sedentary behavior, and diet related eHealth and mHealth research papers published in English between January 1, 2000 and December 31, 2016. Retrieved titles were screened for eligibility, using the abstract and full-text where needed. We described publication trends over time, which included journals, authors, and countries of eligible papers, as well as their keywords and subject categories. Citations of eligible papers were compared with those expected based on published data. Additionally, we described highly-cited papers of the field (ie, top ranked 1%).

    RESULTS: The search identified 4805 hits, of which 1712 (including 42 highly-cited papers) were included in the analyses. Publication output increased on an average of 26% per year since 2000, with 49.00% (839/1712) of papers being published between 2014 and 2016. Overall and throughout the years, eHealth and mHealth papers related to physical activity, sedentary behavior, and diet received more citations than expected compared with papers in the same WoS subject categories. The Journal of Medical Internet Research published most papers in the field (9.58%, 164/1712). Most papers originated from high-income countries (96.90%, 1659/1717), in particular the United States (48.83%, 836/1712). Most papers were trials and studied physical activity. Beginning in 2013, research on Generation 2 technologies (eg, smartphones, wearables) sharply increased, while research on Generation 1 (eg, text messages) technologies increased at a reduced pace. Reviews accounted for 20 of the 42 highly-cited papers (n=19 systematic reviews). Social media, smartphone apps, and wearable activity trackers used to encourage physical activity, less sedentary behavior, and/or healthy eating were the focus of 14 highly-cited papers.

    CONCLUSIONS: This study highlighted the rapid growth of the eHealth and mHealth physical activity, sedentary behavior, and diet research field, emphasized the sizeable contribution of research from high-income countries, and pointed to the increased research interest in Generation 2 technologies. It is expected that the field will grow and diversify further and that reviews and research on most recent technologies will continue to strongly impact the field.
    Matched MeSH terms: Telemedicine/methods*
  19. Albahri OS, Albahri AS, Mohammed KI, Zaidan AA, Zaidan BB, Hashim M, et al.
    J Med Syst, 2018 Mar 22;42(5):80.
    PMID: 29564649 DOI: 10.1007/s10916-018-0943-4
    The new and ground-breaking real-time remote monitoring in triage and priority-based sensor technology used in telemedicine have significantly bounded and dispersed communication components. To examine these technologies and provide researchers with a clear vision of this area, we must first be aware of the utilised approaches and existing limitations in this line of research. To this end, an extensive search was conducted to find articles dealing with (a) telemedicine, (b) triage, (c) priority and (d) sensor; (e) comprehensively review related applications and establish the coherent taxonomy of these articles. ScienceDirect, IEEE Xplore and Web of Science databases were checked for articles on triage and priority-based sensor technology in telemedicine. The retrieved articles were filtered according to the type of telemedicine technology explored. A total of 150 articles were selected and classified into two categories. The first category includes reviews and surveys of triage and priority-based sensor technology in telemedicine. The second category includes articles on the three-tiered architecture of telemedicine. Tier 1 represents the users. Sensors acquire the vital signs of the users and send them to Tier 2, which is the personal gateway that uses local area network protocols or wireless body area network. Medical data are sent from Tier 2 to Tier 3, which is the healthcare provider in medical institutes. Then, the motivation for using triage and priority-based sensor technology in telemedicine, the issues related to the obstruction of its application and the development and utilisation of telemedicine are examined on the basis of the findings presented in the literature.
    Matched MeSH terms: Telemedicine/methods*
  20. Balasingam M
    Int J Clin Pract, 2017 Sep;71(9).
    PMID: 28851081 DOI: 10.1111/ijcp.12989
    This is a medical kitty hawk moment. Drones are pilotless aircrafts that were initially used exclusively by the military but are now also used for various scientific purposes, public safety, and in commercial industries. The healthcare industry in particular can benefit from their technical capabilities and ease of use. Common drone applications in medicine include the provision disaster assessments when other means of access are severely restricted; delivering aid packages, medicines, vaccines, blood and other medical supplies to remote areas; providing safe transport of disease test samples and test kits in areas with high contagion; and potential for providing rapid access to automated external defibrillators for patients in cardiac arrest. Drones are also showing early potential to benefit geriatric medicine by providing mobility assistance to elderly populations using robot-like technology. Looking further to the future, drones with diagnostic imaging capabilities may have a role in assessing health in remote communities using telemedicine technology. The Federal Aviation Administration (FAA) in the United States and the European Aviation Safety Agency (EASA) in the European Union are some examples of legislative bodies with regulatory authority over drone usage. These agencies oversee all technical, safety, security and administrative issues related to drones. It is important that drones continue to meet or exceed the requirements specified in each of these regulatory areas. The FAA is challenged with keeping pace legislatively with the rapid advances in drone technology. This relative lag has been perceived as slowing the proliferation of drone use. Despite these regulatory limitations, drones are showing significant potential for transforming healthcare and medicine in the 21st century.
    Matched MeSH terms: Telemedicine/methods*
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