Patient Adherence to Health Care Provider Recommendations and Medication among Free Clinic Patients

Panahi, Samin; Rathi, Naveen; Hurley, Jazmine; Sundrud, Justine; Lucero, Mary T.; Kamimura, Akiko

doi:10.1177/23743735221077523

Cited by 19 publications

(7 citation statements)

References 35 publications

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“…Aggarwal et al 32 noted that younger age could predict non-adherence to cholesterol and anti-hypertensive drugs. However, opposite results were reported by Panahi et al 33 and Kimura et al 34 The reason for the discrepancy could be explained as follows. The younger population usually thought they had a low risk of severe diseases, but they wished to keep their illness and treatment a secret.…”

Section: Discussionmentioning

confidence: 74%

A Predictive Model for Identifying Low Medication Adherence Among Patients with Cirrhosis

Wang,

Li,

Suo

et al. 2023

PPA

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This study aims to identify the novel risk predictors of low medication adherence of cirrhosis patients in a large cohort and construct an applicable predictive model to provide clinicians with a simple and precise personalized prediction tool. Patients and Methods: Patients with cirrhosis were recruited from the inpatient populations at the Department of Infectious Diseases of Tangdu Hospital. Patients who did not meet the inclusion criteria were excluded. The primary outcome was medication adherence, which was analyzed by the medication possession ratio (MPR). Potential predictive factors, including demographics, the severity of cirrhosis, knowledge of disease and medical treatment, social support, self-care agency and pill burdens, were collected by questionnaires. Predictive factors were selected by univariable and multivariable logistic regression analysis. Then, a nomogram was constructed. The decision curve analysis (DCA), clinical application curve analysis, ROC curve analysis, Brier score and mean squared error (MSE) score were utilized to assess the performance of the model. In addition, the bootstrapping method was used for internal validation. Results: Among the enrolled patients (460), most had good or moderate (344, 74.78%) medical adherence. The main risk factors for non-adherence include young age (≤50 years), low education level, low income, short duration of disease (<10 years), low Child-Plush class, poor knowledge of disease and medical treatment, poor social support, low self-care agency and high pill burden. The nomogram comprised these factors showed good calibration and good discrimination (AUC = 0.938, 95% CI = 0.918-0.956; Brier score = 0.14). In addition, the MSE value was 0.03, indicating no overfitting. Conclusion:This study identified predictive factors regarding low medication adherence among patients with cirrhosis, and a predictive nomogram was constructed. This model could help clinicians identify patients with a high risk of low medication adherence and intervention measures can be taken in time.

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Section: Discussionmentioning

confidence: 74%

A Predictive Model for Identifying Low Medication Adherence Among Patients with Cirrhosis

Wang,

Li,

Suo

et al. 2023

PPA

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“…Adherence can be defined as the extent to which a patient’s behavior aligns with the recommendations and medication prescriptions provided by their healthcare provider (Panahi et al, 2022 ). Adherence is known to be a crucial factor within the process of healthcare service delivery, since, any non-adherence by patients can have significant economic consequences, not only for the individual but also for the healthcare system (Mallow et al, 2014 ).…”

Section: Discussionmentioning

confidence: 99%

A systematic review of reviews on the advantages of mHealth utilization in mental health services: A viable option for large populations in low-resource settings

Khosravi,

Azar

2024

Camb. prisms Glob. ment. health

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Global mental health services face challenges such as stigma and a shortage of trained professionals, particularly in low-and middle-income countries, which hinder access to high-quality care. Mobile health interventions, commonly referred to as mHealth, have shown to have the capacity to confront and solve most of the challenges within mental health services. This paper conducted a comprehensive investigation in 2024 to identify all review studies published between 2000 and 2024 that investigate the advantages of mHealth in mental health services. The databases searched included PubMed, Scopus, Cochrane and ProQuest. The quality of the final papers was assessed and a thematic analysis was performed to categorize the obtained data. 11 papers were selected as final studies. The final studies were considered to be of good quality. The risk of bias within the final studies was shown to be in a convincing level. The main advantages of mHealth interventions were categorized into four major themes: 'accessibility, convenience and adaptability', 'patient-centeredness', 'data insights' and 'efficiency and effectiveness'. The findings of the study suggested that mHealth interventions can be a viable and promising option for delivering mental health services to large and diverse populations, particularly in vulnerable groups and low-resource settings. Impact statementThe findings of the study can be utilized by future researchers, policymakers and healthcare administrators from diverse socioeconomic and geographical backgrounds providing them a more detailed insight regarding the advantages of utilizing mHealth in mental health services in diverse settings.

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“…Although the proportion of PrEP newly offered for both models of services was quite similar (28.8% from hospitals and 25.3% from KPLHS), those from hospitals agreed to initiate a much higher proportion than those from KPLHS (20.3 and 6.3%). A possible cause of this observation is that the majority of providers at the hospital are health care professionals (9), and by nature, patients or clients may respect and follow the advice of health care professionals (24).…”

Section: Discussionmentioning

confidence: 99%

PrEP stigma among current and non-current PrEP users in Thailand: A comparison between hospital and key population-led health service settings

Chautrakarn

Rayanakorn²,

Intawong³

et al. 2022

Front. Public Health

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BackgroundPre-exposure prophylaxis (PrEP) has demonstrated effectiveness in high-risk populations. PrEP service in Thailand became free of charge under the Universal Health Coverage (UHC) in 2021. The National Health Security Office launched a pilot project in 2020 to ensure sustainable service delivery, and the national monitoring and evaluation (M&E) framework was adopted to evaluate early phase implementation. We carried out a cross-sectional survey as part of the M&E process to investigate PrEP stigma among current and non-current PrEP users from both hospital and Key Population Led Health Services (KPLHS) settings in Thailand.MethodsBetween August and October 2020, an online cross-sectional survey was conducted. A link for a self-administered questionnaire was distributed to all active PrEP centers and PrEP clients were then recruited by PrEP providers. Descriptive and univariate analysis using Chi-square were applied in the analyses. Attitudes toward PrEP were ranked from the most negative to the most positive. The negative attitude can be interpreted as PrEP stigma.ResultsThis study included 513 PrEP clients (355 from hospitals and 158 from KPLHS). In both settings, respondents' attitudes toward PrEP were generally positive, but some potential stigma was observed. 31.8% of hospital PrEP clients and 9.5% of KPLHS clients agreed that PrEP users should keep their pills hidden from others. Almost half (44.5%) of hospital clients and 18.4% of KPLHS clients agreed that PrEP users are often viewed negatively by society. More than 20% of hospital clients and 12% of KPLHS agreed that PrEP users frequently experience difficulties when their partner/lover/family find out that he or she is on PrEP. Respondents from the hospitals had slightly higher PrEP stigma than those from KPLHS.ConclusionsAccording to our findings, at the policy level, the campaign to provide PrEP education to all groups of people should be continued in order to promote a positive view of PrEP and reduce PrEP-related stigma among the general population, which is critical for successful PrEP implementation.

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Patient Adherence to Health Care Provider Recommendations and Medication among Free Clinic Patients

Cited by 19 publications

References 35 publications

A Predictive Model for Identifying Low Medication Adherence Among Patients with Cirrhosis

A Predictive Model for Identifying Low Medication Adherence Among Patients with Cirrhosis

A systematic review of reviews on the advantages of mHealth utilization in mental health services: A viable option for large populations in low-resource settings

PrEP stigma among current and non-current PrEP users in Thailand: A comparison between hospital and key population-led health service settings

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