Yen-Ming Huang

Dr. Yen-Ming Huang

South Dakota State University
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

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

Representative Publications

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1 May 2018 in Patient Preference and Adherence
Verified
Journal Article
Open access
PDF file
YHYen-Ming Huang
Yen-Ming Huang
OSOlayinka O Shiyanbola
Olayinka O Shiyanbola
PSPaul D Smith
Paul D Smith
Introduction: The exact pathway linking health literacy, self-efficacy, medication adherence, and glycemic control for type 2 diabetes remains unclear. Understanding the relationship between patient factors, medication adherence, and lower glycated hemoglobin (HbA1c) may help patients better manage their disease. This study examined the association of health literacy and medication self-efficacy with self-reported diabetes medication adherence, and the association of health literacy, medication self-efficacy, and self-reported diabetes medication adherence with HbA1c of patients with type 2 diabetes. Methods: This cross-sectional study utilized a face-to-face questionnaire at two family medicine clinics in a Midwestern state among 174 patients; subjects enrolled were at least 20 years old with diagnosed type 2 diabetes, prescribed at least one oral diabetes medicine, and understood English. Questionnaires were administered to assess the participants’: health literacy, using the Newest Vital Sign six-item questionnaire (NVS); self-efficacy for medication use, using the 13-item Self-Efficacy for Appropriate Medication Use Scale; and self-report medication adherence, using the eight-item Morisky Medication Adherence Scale. HbA1c values were obtained from participants’ electronic medical records. Multiple linear regressions were used to explore the association of health literacy and medication self-efficacy with both medication adherence and HbA1c level after controlling for all other covariates. Results: Self-reported health status (β = 0.17, p = 0.015) and medication self-efficacy (β = 0.53, p < 0.001) were positively associated with diabetes medication adherence. Health literacy was neither associated with diabetes medication adherence (β = -0.04, p = 0.586) nor HbA1c (β = -0.06, p = 0.542). Lower diabetes medication adherence (β = -0.26, p = 0.008) and higher number of prescribed medications (β = 0.28, p = 0.009) were correlated with higher HbA1c. Conclusion: Health literacy, as measured by the NVS, does not correlate with medication adherence or glycemic control among patients with type 2 diabetes. Interventions to improve patients’ self-efficacy of medication use may improve diabetes medication adherence.

1 September 2018 in Research in Social and Administrative Pharmacy
Verified
Journal Article
Closed access
OSOlayinka O Shiyanbola
Olayinka O Shiyanbola
Elizabeth UnniElizabeth Unni
Elizabeth Unni
YHYen-Ming Huang
Yen-Ming Huang
CLCameron Lanier
Cameron Lanier

1 November 2018 in Patient Education and Counseling
Verified
Journal Article
Closed access
YHYen-Ming Huang
Yen-Ming Huang
OSOlayinka O Shiyanbola
Olayinka O Shiyanbola
HCHsun-Yu Chan
Hsun-Yu Chan

29 July 2020 in Qualitative Health Research
Verified
Journal Article
Closed access
PDF file
YHYen-Ming Huang
Yen-Ming Huang
KPKristen E. Pecanac
Kristen E. Pecanac
OSOlayinka O. Shiyanbola
Olayinka O. Shiyanbola
Medication adherence is important for diabetes management. Better knowledge of how patient factors relate to medication adherence allows us to develop more tailored interventions. We explore patients’ perceptions of the barriers to and facilitators of medication adherence across different levels of health literacy. Semi-structured interviews with 23 participants with type 2 diabetes (T2D) were completed, and direct content analysis identified the facilitators of and the barriers to medication adherence through the lens of the Health Literacy Pathway model. Linking medication-taking to daily routine and focusing on the internal locus of control are imperative approaches to fostering self-efficacy of medication use. Understanding patients’ life experiences and clarifying medication misinformation help patients address their concerns with medications. Lowering the cost of medications and simplifying therapy regimens can alleviate participants’ perceived barriers to medication-taking. In this study, we explore medication adherence from the experience of people with T2D and can inform tailored interventions to improve medication adherence.

5 May 2017 in Health Expectations
Verified
Journal Article
Open access
PDF file
YYYing‐Chih Yeh
Ying‐Chih Yeh
HLHsiang‐Wen Lin
Hsiang‐Wen Lin
ECElizabeth H. Chang
Elizabeth H. Chang
YHYen-Ming Huang
Yen-Ming Huang
YCYu‐Chieh Chen
Yu‐Chieh Chen
YKYu Ko
Yu Ko
Background: Despite the impact of medication literacy (ML) on patients’ safe use of medications, existing instruments are mostly for general health literacy measurement or designed for specific disease populations, with few specifically designed for ML.Objective: To develop and validate the first Chinese medication literacy measure (ChMLM).Methods: The ChMLM was developed by a multidisciplinary and bilingual expert panel and subsequently pilot‐tested. The final version had 17 questions in four sections: vocabulary, non‐prescription drug, prescription drug and drug advertisement. Face‐to‐face interviews were administered in a convenience sample of adults with diverse sociodemographic characteristics. Internal consistency was assessed by Cronbach's alpha. Content validity was confirmed by the expert panel, and hypothesis testing was performed to assess construct validity.Results: A total of 634 adults were interviewed. The mean (SD) total ChMLM score was 13.0 (2.8). The internal validity was acceptable (Cronbach's alpha=0.72). Nine of the ten a priori hypotheses were fulfilled. Younger age, higher income and higher education levels were significantly associated with a higher ChMLM score. Furthermore, higher scores on the ChMLM were associated with higher confidence or less difficulty in writing, reading, speaking and listening abilities in a health‐care encounter. No association was found between ChMLM total scores and frequency of doctor's visits.Conclusion: The ChMLM is a valid and reliable ML measure. It may help pharmacists and other health‐care providers to target patients and problem areas that need interventions with the ultimate goal of preventing medication errors and harm.

1 May 2018 in Patient Preference and Adherence
Verified
Journal Article
Open access
PDF file
YHYen-Ming Huang
Yen-Ming Huang
OSOlayinka O Shiyanbola
Olayinka O Shiyanbola
PSPaul D Smith
Paul D Smith
HCHsun-Yu Chan
Hsun-Yu Chan
Introduction: The Newest Vital Sign (NVS) is a survey designed to measure general health literacy whereby an interviewer asks six questions related to information printed on a nutritional label from an ice cream container. It enables researchers to evaluate several health literacy dimensions in a short period of time, including document literacy, comprehension, quantitative literacy (numeracy), application, and evaluation. No study has empirically examined which items belong to which latent dimensions of health literacy in the NVS using factor analysis. Identifying the factor structure of the NVS would enable health care providers to choose appropriate intervention strategies to address patients’ health literacy as well as improve their health outcomes accordingly. This study aimed to explore the factor structure of the NVS that is used to assess multiple dimensions of health literacy. Methods: A cross-sectional study administering the NVS in a face-to-face manner was conducted at two family medicine clinics in the USA. One hundred and seventy four individuals who participated were at least 20 years old, diagnosed with type 2 diabetes, prescribed at least one oral diabetes medicine, and used English as their primary language. Exploratory factor analysis and confirmatory factor analysis were conducted to investigate the factor structure of the NVS. Results: Numeracy and document literacy are two dimensions of health literacy that were identified and accounted for 63.05% of the variance in the NVS. Internal consistency (Cronbach’s alpha) of the NVS were 0.78 and 0.91 for numeracy and document literacy, respectively. Conclusion: Numeracy and document literacy appropriately represent the factor structure of the NVS and may be used for assessing health literacy in greater detail for patients with type 2 diabetes.