A User Experience and eHealth Literacy Inspection of a Lab Test Interpretation Mobile App for Citizens

Monkman, Helen; MacDonald, Leah; Griffith, Janessa; Lesselroth, Blake J.

doi:10.3233/shti210318

Cited by 6 publications

(11 citation statements)

References 2 publications

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“…Some demographic details include that P16 was between 65-74 years old, primarily spoke English at home, and had one or more chronic illnesses [2][3][4]. Result from the first question about where online lab results were accessed, revealed that P16 primarily accessed her results at home.…”

Section: Resultsmentioning

confidence: 99%

“…Further, as P16 has one or more chronic health conditions and only accesses her lab results a few times a year, her lived experiences may not mirror those of other individuals. Moreover, implications of user experience (UX) and system design [4] were also not fully expressed in the study.…”

Section: Discussionmentioning

confidence: 97%

“…This qualitative study was approved by the University of Victoria's Human Research Ethics Board and is part of an exploratory series of studies investigating patterns and trends of Canadians who access their lab results online [2][3][4]. Specifically, this study focused on the lived experiences of P16 in accessing her lab results online.…”

Section: Methodsmentioning

confidence: 99%

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Contextualizing Online Laboratory (lab) Results and Mapping the Patient Journey

Joseph

Monkman

MacDonald

et al. 2022

Studies in Health Technology and Informatics

Self Cite

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The 21st century has brought forth unprecedented technological advances, such as the advent of portable digital devices [1]. This trend has also permeated the health care sector, with the introduction of digital health services, like providing citizens with access to their online laboratory (lab) results. This qualitative study will illustrate the patient journey, namely participant 16 (P16), to address the research question: what phases does a person go through when accessing their lab results online? The findings revealed that lab results were accessed from two types of devices a tablet (e.g., portable computer) when at home and a mobile phone when away from home. We also found that interpretation of results can be a challenge and it was unclear if P16 was able to understand her lab results. To illustrate the complexity of interpreting and accessing online lab results, the authors created a Customer Journey Map to contextualize the experiences of P16. The journey map depicts a combination of factors such as: eHealth literacy, limited access to providers, difficulty interpreting lab test results. Additionally, recommendations for online lab portal functionality enhancements were discovered through the mapping exercise. This study demonstrated that along with providing citizens with access to digital health technologies and services, considerations to eHealth literacy, the digital divide and health equity are paramount. As evidenced by the visualization, journey maps hold promise to serve as efficient tools to build empathy and identify the unique needs and perspectives of citizens.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 97%

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Contextualizing Online Laboratory (lab) Results and Mapping the Patient Journey

Joseph

Monkman

MacDonald

et al. 2022

Studies in Health Technology and Informatics

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“…43 , 44 Behavioral safety to acquire medication information, take medication, and medication monitoring and feedback reflected the actual medication process. At present, most patients are used to seeking and reading medication information before taking prescription medications, 45 and high-quality medication information sources may directly affect the outcomes of medication safety in a positive way. 46 Taking medication correctly may be easy for most patients, but when the several numbers of medications taken by older patients with comorbidities, medication-related risks may increase and even adverse drug events occur.…”

Section: Discussionmentioning

confidence: 99%

Development and psychometric assessment of self-reported patient medication safety scale (SR-PMSS)

Qin

Duan

Shi

et al. 2023

Therapeutic Advances in Drug Safety

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Objectives: Patient medication safety can affect their clinical outcomes and plays an important role in patient safety management. However, few tools have been developed to assess patient medication safety. This study aimed to develop and validate the self-reported patient medication safety scale (SR-PMSS). Methods: We developed SR-PMSS guided by the Donabedian Structure-Process-Outcome framework and used psychometric methods to test its validity and reliability. Results: A total of 501 patients with an average age of 56.81 ± 14.47 were enrolled in this study. The SR-PMSS consisted of 21 items and 5 factors. The content validity was good with item-level content validity index (CVI) > 0.78, average scale-level CVI (S-CVI) > 0.9, and universal agreement S-CVI > 0.8. Exploratory factor analysis extracted a five-factor solution with eigenvalues > 0.1, explaining 67.766% of the variance. Confirmatory factor analysis showed good model fit, acceptable convergent validity, and discriminant validity. The Cronbach’s α coefficient for SR-PMSS was 0.929, the split-half reliability coefficient was 0.855, and the test–retest reliability coefficient was 0.978. Conclusions: The SR-PMSS was a valid and reliable instrument with good reliability and validity to evaluate the level of patient medication safety. The target users of the SR-PMSS are all people who are taking or have used prescription medications. The SR-PMSS can be used by healthcare providers in clinical practice and research to identify patients at risk for medication use and intervene with them to reduce adverse medication events and provide support for patient safety management. Plain Language Summary SR-PMSS – a self-reported tool to assess patient medication safety Medication therapy was the most common and frequent treatment method to prevent and cure diseases. Medication safety issues may occur in the process of medication use. Patient medication safety can affect their clinical outcomes and plays an important role in patient safety management. However, there are few tools to assess patient medication safety currently, and most of them focused on medication safety related to hospitals or healthcare workers. We developed the self-reported patient medication safety scale (SR-PMSS) guided by the Donabedian Structure-Process-Outcome framework. Then, we conducted a two-round expert consultation, clarity verification, and item simplification to determine the final version of the scale. The SR-PMSS consisted of 21 items and 5 factors and it had good validity and reliability. The target users of the SR-PMSS are all people who are taking or have used prescription medications. Healthcare providers can use the SR-PMSS in clinical practice and research to identify patients at risk for medication use and intervene with them to reduce adverse medication events and provide support for patient safety management.

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“…eHealth literacy is not only a critical factor in healthcare but also important for technology-based interventions, as health care services and features are increasingly delivered through information and communication technologies. Monkman et al [57] highlighted the importance of eHealth literacy in usability for a mobile app (i.e., blood pressure tracker), suggesting that mHealth technologies are designed with eHealth literacy considerations to improve usability for users with limited health literacy.…”

Section: Ehealth Literacymentioning

confidence: 99%

Exploring the role of user empowerment in shaping behavioral intention and actual use of mHealth: An empirical study of an extended Technology Acceptance Model

Pak,

Kim

2023

Preprint

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Many studies have highlighted mobile health (mHealth)’s positive impact on health promotion and disease management. However, technological features in mHealth alone to address challenges in retention may not ensure sustained utilization of mHealth if users lack interest or motivation for their own health management. Therefore, we aimed to explore the role of user empowerment, users' active involvement and ability to regulate health behaviors as influencing factors in mHealth adoption and usage. We extended the technology acceptance model (TAM) by incorporating the concept of user empowerment and tested the model by leveraging structural equation modeling with survey data collected from 612 respondents. Our findings revealed that positive and negative perceived health status (β = 0.24, t = 4.28, p < 0.001; β = 0.12, t = 2.50, p < 0.05) and health literacy (β = 0.64, t = 9.03, p < 0.001) resulted in a significant positive association with user empowerment in addition to users’ perception on ease of use of mHealth apps except for self-efficacy. User empowerment showed significant positive associations with all constructs related to TAM: perceived ease of use (β = 0.27, t = 7.11, p < 0.001), perceived usefulness (β = 0.15, t = 4.03, p < 0.001), behavioral intention (β = 0.48, t = 4.78, p < 0.001), and actual use (β = 0.31, t = 5.28, p < 0.001). Our findings shed light on the dynamic relationship among user empowerment, mHealth adoption, and usage by offering insights into enhancing user engagement and fostering healthier lifestyles through technology-driven interventions.

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A User Experience and eHealth Literacy Inspection of a Lab Test Interpretation Mobile App for Citizens

Cited by 6 publications

References 2 publications

Contextualizing Online Laboratory (lab) Results and Mapping the Patient Journey

Contextualizing Online Laboratory (lab) Results and Mapping the Patient Journey

Development and psychometric assessment of self-reported patient medication safety scale (SR-PMSS)

Exploring the role of user empowerment in shaping behavioral intention and actual use of mHealth: An empirical study of an extended Technology Acceptance Model

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