Abdul-Fatawu Abdulai

Dr. Abdul-Fatawu Abdulai

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
26 April 2023 in Nursing Inquiry
Verified
Journal Article
Closed access
AAAbdul-Fatawu Abdulai
Abdul-Fatawu Abdulai
LHLillian Hung
Lillian Hung

1 January 2021 in International Journal of Medical Informatics
Verified
Journal Article
Closed access
AAAbdul-Fatawu Abdulai
Abdul-Fatawu Abdulai
ATAl-Hashim Tiffere
Al-Hashim Tiffere
FAFuseini Adam
Fuseini Adam
MKMoses Musah Kabanunye
Moses Musah Kabanunye

4 June 2020 in PLOS ONE
Verified
Journal Article
Open access
PDF file
AAAbdul-Fatawu Abdulai
Abdul-Fatawu Abdulai
FAFuseini Adam
Fuseini Adam
Electronic Health Records are receiving considerable attention as a valuable tool for managing clinical information. Despite the prospects of Electronic Health Records in developing countries, many pre-implementation assessments target organizational, managerial, and infrastructural readiness, but barely include a detailed examination of health provider readiness. Meanwhile, health provider readiness is a critical success factor for electronic health records in settings where the majority of the workforce is less likely to have basic computer skills. We sought to assess the readiness of health providers for electronic health records in Ghana. An institutional-based cross-sectional study was conducted among 350 health providers in northern Ghana from June-September 2019. Data were collected using a modified questionnaire on provider readiness. The mean overall readiness was calculated for each respondent. Providers with readiness score below the overall mean score were categorized as not being ready while those at or above the mean score were considered ready. Multiple linear regression was conducted to determine the factors that determine provider readiness. Two hundred and nine health providers responded to the questionnaire (59.7 response rate). The mean overall readiness was 3.61 (SD = .76), mean core readiness was 3.74 (SD = .80), and mean engagement readiness was 3.47 (SD = .67). Using the average overall readiness score as the cut-off for determining being ready and not ready for electronic health records, overall readiness was 54.9%, core readiness was 67.2%, while engagement readiness was 43.1%. Age, sex, old employees compared to new employees, computer literacy, and knowledge of electronic health records were significant determinants of health providers’ readiness to adopt electronic health records. We observed that health providers were marginally ready for electronic health records adoption. While participants might have expressed dissatisfaction with paper-based records and expressed a desire for electronic health records, they expressed fear of the potential impact of computerized records. We proposed a robust informatics curriculum and capacity building workshops for improving provider readiness for electronic health records.

19 November 2024 in Nursing Inquiry
Verified
Journal Article
Open access
AAAbdul-Fatawu Abdulai
Abdul-Fatawu Abdulai
The proliferation of Generative Artificial Intelligence (Generative AI) has led to an increased reliance on AI‐generated content for designing and deploying digital health interventions. While generative AI has the potential to facilitate and automate healthcare, there are concerns that AI‐generated content and AI‐generated health advice could trigger, perpetuate, or exacerbate prior traumatic experiences among vulnerable populations. In this discussion article, I examined how generative‐AI‐powered digital health interventions could trigger, perpetuate, or exacerbate emotional trauma among vulnerable populations who rely on digital health interventions as complementary or alternative sources of seeking health services or information. I then proposed actionable strategies for mitigating AI‐generated trauma in the context of digital health interventions. The arguments raised in this article are expected to shift the focus of AI practitioners against prioritizing dominant narratives in AI algorithms into seriously considering the needs of vulnerable minority groups who are at the greatest risk for trauma but are often invisible in AI data sets, AI algorithms, and their resultant technologies.

3 March 2022 in JMIR Human Factors
Verified
Journal Article
Open access
AAAbdul-Fatawu Abdulai
Abdul-Fatawu Abdulai
AHA. Fuchsia Howard
A. Fuchsia Howard
PYPaul Yong
Paul Yong
HNHeather Noga
Heather Noga
GPGurkiran Parmar
Gurkiran Parmar
LCLeanne M Currie
Leanne M Currie
Background: Endometriosis is a chronic condition that affects approximately 10% of women worldwide. Despite its wide prevalence, knowledge of endometriosis symptoms, such as pelvic pain, and treatments remains relatively low. This not only leads to a trivialization of symptoms and delayed diagnosis but also fuels myths and misconceptions about pain symptoms. At the same time, the use of web-based platforms for information seeking is particularly common among people with conditions that are perceived as stigmatizing and difficult to discuss. The Sex, Pain, and Endometriosis website is an educational resource designed to provide evidence-based information on endometriosis and sexual pain to help people understand the condition, feel empowered, dispel myths, and destigmatize endometriosis-associated sexual pain. Objective: The study objective is to evaluate the usability of the website and assess for destigmatizing properties of sexual health–related web-based resources. Methods: We conducted a usability analysis by using a think-aloud observation, a postsystem usability questionnaire, and follow-up interviews with 12 women with endometriosis. The think-aloud data were analyzed using the framework by Kushniruk and Patel for analyzing usability video data, the questionnaire data were analyzed using descriptive statistics, and the follow-up interviews were analyzed using simple content analysis. We conducted a usability assessment by deductively analyzing the interview data via a trauma-informed care framework and a content analysis approach. Results: Through usability analysis, we found the website to be simple, uncluttered, satisfying, and easy to use. However, 30 minor usability problems related to navigation; website response; the comprehension of graphics, icons, and tabs; the understanding of content; and mismatch between the website and users’ expectations were reported. In our stigma analysis, we found the web content to be nonstigmatizing. The participants suggested ways in which websites could be designed to address stigma, including ensuring privacy, anonymity, inclusiveness, and factual and nonjudgmental content, as well as providing opportunities for web-based engagement. Conclusions: Overall, the participants found the website to be useful, easy to use, and satisfying. The usability problems identified were largely minor and informed the website redesign process. In the context of the limited literature on stigma and website design, this paper offers useful strategies on how sexual health–related websites can be designed to be acceptable and less stigmatizing to individuals with sensitive health issues.

9 July 2021 in International Journal of Sexual Health
Verified
Journal Article
Closed access
AAAbdul-Fatawu Abdulai
Abdul-Fatawu Abdulai
AHA. Fuchsia Howard
A. Fuchsia Howard
LCLeanne M. Currie
Leanne M. Currie
To review the literature that has examined stigma in relation to the design, impact, and ways web apps can alleviate or aggravate sexual health-related stigma.Six databases were searched and 17 stu...