Analysis of Medication Adherence and Its Influencing Factors in Patients with Schizophrenia in the Chinese Institutional Environment

Research on NiTi instruments combined with ultrasonic irrigation and multiantibiotic paste in root canal therapy of periapical inflammation in deciduous teeth

Pain often occurs after root canal treatment due to unavoidable mechanical or chemical damage. The purpose of the present study was to investigate the efficacy of a nickel-titanium (NiTi) device combined with ultrasonic irrigation and multiple antibiotic creams in the treatment of periapical inflammation of deciduous teeth, so as to improve the understanding of root canal treatment and optimize clinical practice. Evaluation of efficacy was conducted using X-rays and the Visual Analog Scale. This treatment significantly reduced pain and also improved patient compliance and treatment outcomes. The findings of the present study may have scientific and clinical significance for optimizing root canal treatment in pediatric dentistry and requires further in-depth research in clinical practice. These outcomes may provide potential new ideas and directions for improving patients' quality of life and the efficacy of clinical treatment and have further impacts on future related research and medical practice.

Effect of self-efficacy among persons who inject drugs treated with direct-acting antivirals on Hepatitis C treatment initiation, duration, completion, adherence, and cure

BACKGROUND

Self-efficacy, a patient-level factor, has been shown to facilitate patient engagement in treatment and optimize treatment-related outcomes in various health contexts. Research on interventions supporting hepatitis C virus (HCV) direct-acting antiviral (DAA) treatment uptake and adherence among persons who inject drugs (PWID) is needed, but whether self-efficacy factors influence DAA treatment cascade outcomes in this population has been less studied.

METHODS

Using the HERO study data, we analyzed a subset of participants with any general health self-efficacy data (n=708) measured at baseline and end-of-treatment time points using a 5-items instrument (facets: 'goal setting', 'goal attainment', 'having a positive effect', 'being in control', and 'working to improve'). The cascade outcomes included DAA treatment initiation, duration, adherence, completion, and sustained virologic response (SVR). The effect of baseline and change (Δ) scores for composite and item-level self-efficacy on the cascade outcomes was assessed using logistic regression and generalized linear models.

RESULTS

Higher baseline composite self-efficacy [adjusted odds ratio (95 % confidence interval) =1.57 (1.07, 2.29)], 'goal attainment' [1.31 (1.03, 1.67)] and 'having a positive effect' [1.33 (1.03, 1.74)] were associated with greater likelihood of treatment initiation. 'Δ Goal attainment' was significantly associated with SVR [1.63 (1.04, 2.53)]. 'Δ Being in control' and 'Δ working to improve' were associated with treatment adherence and duration, respectively.

CONCLUSIONS

General health self-efficacy positively influences DAA treatment initiation among PWID. 'Goal attainment' facilitates the achievement of DAA treatment-related outcomes. Further studies should assess the effect of self-efficacy related to performing healthcare tasks specific to DAAs on the treatment-related outcomes.

The relationship between self-stigma and quality of life in long-term hospitalized patients with schizophrenia: a cross-sectional study

Objective

To investigate self-stigma's influence on schizophrenia patients' quality of life and its mediated impact by various factors.

Methods

This study adopted a cross-sectional design and randomly selected 170 hospitalized patients with schizophrenia for evaluation. The assessment tools included the Positive and Negative Syndrome Scale (PANSS), Internalized Stigma of Mental Illness Scale (ISMI), Schizophrenia Quality of Life Scale (SQLS), and Coping Questionnaire for Schizophrenia Patients (CQSP), among others. Correlation analysis, regression analysis, and mediation analysis were used to test the correlation and mediation effects.

Results

Self-stigma had a significant impact on quality of life (T = 8.13, p = 0.00). When self-stigma is used as a mediator, the problem-solving factor in coping strategies has an indirect effect on quality of life, which is significant (AB = -0.16, P = 0.02), while the avoidance factor in coping strategies has a direct effect on quality of life, which is significant (C' = 0.54, p < 0.001), and an indirect effect, which is also significant (AB = 0.25, p < 0.001).

Conclusion

The study highlights the significant impact of self-stigma on the quality of life of schizophrenia patients, emphasizing the crucial roles of self-esteem and coping strategies. These findings suggest clinical interventions to improve quality of life should focus on reducing self-stigma, especially enhancing self-esteem and promoting adaptive coping strategies. By addressing these factors, we can better support the mental health and well-being of those with schizophrenia, offering an effective approach to rehabilitation.

Initial attitudes toward a drug predict medication adherence in first-episode patients with schizophrenia: a 1-year prospective study in China

BACKGROUND

Patients' attitudes toward medication have been shown to be a predictor of nonadherence to antipsychotic treatment. However, most previous studies that explored this relationship used a cross-sectional design. It is important to explore the association of attitudes toward drugs with discontinuation at different time points during antipsychotic treatment. In this study, we investigated the association of attitudes toward drugs (measured by the Drug Attitude Inventory (DAI-10)) with adherence at seven time points (baseline, 4 weeks, 8 weeks, 12 weeks, 26 weeks, 39 weeks, and 52 weeks) during 1 year of treatment. Factors that were potentially associated with attitudes toward drugs at the time point of interest were also studied.

METHODS

Demographic characteristics, psychopathology, social functioning, and attitudes toward drugs (measured by the DAI-10) were collected at baseline, 4 weeks, 8 weeks, 12 weeks, 26 weeks, 39 weeks and 52 weeks. The association of attitudes toward drugs (measured by DAI-10) with adherence at the seven time points was calculated using the Mann‒Whitney U test. The optimal cutoff point for the DAI-10 was then determined using receiver operating characteristic (ROC) analysis. Cox regression analysis was conducted to further investigate the association of DAI-10 scores with discontinuation, controlling for potential confounding variables. We used multiple regression analysis to identify the factors associated with DAI-10 scores.

RESULTS

Among the six time points, only baseline DAI-10 total scores were significantly different between the completed and discontinued groups (p = 0.004). Female sex and a baseline DAI-10 total score greater than - 1 were found to be independent protective factors against discontinuation of antipsychotic drug treatments during the 1-year follow-up. At baseline, the severity of the disease (CGI-s) and insight regarding the disease were shown to be associated with DAI-10 total scores.

CONCLUSION

Attitudes toward antipsychotic drugs at baseline were shown to play a crucial role in predicting treatment discontinuation.

TRIAL REGISTRATION

The data were collected from a clinical trial and the clinical trials.gov ID of the study is NCT01057849.

Investigating the Effect of Adherence to Antipsychotic Therapy on the Length of Stay and Number of Hospitalizations in Patients with Schizophrenia - A Descriptive Analysis

Background

Optimizing long-term outcomes in schizophrenia treatment requires effective pharmacological interventions. Medication adherence is known to influence clinical outcomes, yet there is a scarcity of studies examining its correlation with factors like Length of Stay (LOS) and re-hospitalization frequency. These outcomes are crucial indicators of how medication adherence affects overall patient well-being.

Purpose

This study aims to describe the effect of medication adherence on the length of stay (LOS) and number of hospitalizations in patients with schizophrenia.

Patients and Methods

A total of 157 subjects from the West Java Psychiatric Hospital were included in this cross-sectional retrospective study. Data, including demographics, comorbidities, duration of illness, antipsychotic adherence, LOS, and the number of hospitalizations, were collected from the patients' medical records. All the data were analyzed using the Chi-Square (χ²) test with a significance level set at p < 0.05.

Results

Our findings showed that 88% of all schizophrenia inpatients were in the nonadherence group. The highest (40.7%) LOS (>30 days) was found in the non-adherence group with discontinued therapy/stopped therapy group, while the highest percentage of patients with less than five hospitalizations was identified in the obedient and regular therapy group (94.4%). In the statistical results, we observed a significant association between therapy adherence (p = 0.043) and therapy regimen (p = 0.014) with gender. Additionally, the distinction between male and female schizophrenia patients demonstrated statistical significance (p = 0.000).

Conclusion

In this study, therapy adherence and therapy regimen were found to have a significant association with gender, as well as differences between the number of male and female schizophrenia patients that were statistically significant. While other variables may exhibit clinical associations, their statistical significance has not been fully depicted. The results of this study could be preliminary study for subsequent observational studies.

A cross-sectional analysis of registry data of severe mental disorders in Fuzhou, China: current status and prospects

OBJECTIVE

To investigate the proportion of registered cases relative to size, distribution characteristics, medication status, and management status of patients diagnosed with severe mental disorders (SMD) in Fuzhou. The medication status and management status were compared between patients in urban and non-urban areas to provide scientific evidence for improving SMD care, control, and treatment in primary health care institutions.

METHODS

Data (case types, demographic data, distribution data, medication status, and management status, etc.) of patients diagnosed with SMD in 12 districts, counties, and prefectures in the urban and non-urban areas of Fuzhou City were collected from October 2017 to September 2018. Three distributions (population, local, and districts/counties) were used to describe the proportion of registered cases relative to size and clinical characteristics of diagnosed SMD. Chi squared (χ2) test was used to compare the severity in urban and non-urban areas.

RESULTS

A total of 30,362 registered SMD patients were identified in Fuzhou City of which schizophrenia accounted for the highest number of cases (26,204, 86.31%), and paranoid psychosis had the least number of cases (47, 0.15%). Moreover, approximately half of SMD patients were 18 to 44 years old (45.38%). Close to one third of patients were farmers (30.23%), had a primary school or lower education level (54.17%), were poor, with most below the poverty line (55.35%). The proportion of diagnosed SMD relative to size was highest in Minqing County (0.53%) and lowest in Mawei District (0.38%). A total of 22,989 (75.72%) of the patients were taking medications, and only 17,509 (57.67%) were taking medications regularly. Moreover, the percentage of cases taking medications and those taking medications regularly were higher in urban areas than in non-urban areas (P<0.05). A total of 3065 patients were registered for management (10.09%). The managed proportion of SMD cases was higher in the urban areas than in the non-urban areas (P < 0.05).

CONCLUSION

Schizophrenia is a key disease for comprehensive care and control of severe mental disorders in Fuzhou. The management of severe mental disorders should focus on poor groups with low educational backgrounds. Drug usage and management are better in urban areas than in non-urban areas, and thus management should be enhanced in non-urban areas. The medication management and case management of patients with severe mental disorders in Fuzhou need further improvements.

Factors Associated with Medication Adherence among Community-Dwelling Older People with Frailty and Pre-Frailty in China

BACKGROUND

Frail and pre-frail older people often need to take medications. However, factors related to medication adherence among this population remain unclear, warranting further research. This study aims to identify correlates of medication adherence among frail and pre-frail older adults.

METHODS

From November 2020 to December 2020; a total of 4218 community-dwelling residents aged ≥ 60 years were interviewed by a cross-sectional survey in China. Data on subjects' general information; medication adherence; and frailty status was obtained via the face-to-face structured questionnaire. Logistic regression models were fitted; separately; to examine these factors linked to medication adherence.

RESULTS

We found that 36.2% (n = 1527) and 18.8% (n = 792) of respondents were classified as pre-frail and frail. According to the Morisky scale scores, 66.74% (n = 2815) were found to have adequate medication adherence, and 33.26% (n = 1403) were found to have inadequate medication adherence. Among the pre-frail respondents, age (adjusted odds ratio (AOR) = 1.64; 95% confidence interval (CI): 1.18-2.29, P = 0.003), marital status (AOR = 1.52; 95% CI: 1.04-2.21, P = 0.030), smoking status (AOR = 0.61; 95% CI: 0.37-0.99, P = 0.044), and functional ability (AOR = 0.72; 95% CI: 0.58-0.91, P = 0.006) were significantly related to medication adherence. Among them, advanced age and single were risk factors, which were positively related to the medication adherence of subjects in pre-frailty, while quitting smoking and limited functional ability contributed to improving their medication adherence. In contrast, only age (AOR = 1.77; 95% CI: 1.16-2.69, P = 0.008) was significantly associated with medication adherence among frail subjects.

CONCLUSION

Influencing factors to medication adherence of old people in pre-frailty and frailty have been enriched, which provides a certain reference for promoting medication adherence in this population. Future adherence intervention methods should be designed based on these factors.

Medication adherence among community-dwelling schizophrenia patients during the COVID-19 pandemic: A cross-sectional study

OBJECTIVES

This study aims to investigate medication adherence during the COVID-19 pandemic among community-dwelling schizophrenia patients, and to explore the role of social support in improving medication adherence in a rural community sample in China.

METHODS

A cross-sectional sample of 800 patients was recruited using a cluster random sampling method in Yingshan County, Sichuan Province. Information on participant demographic characteristics, social support and medication adherence was collected through face-to-face interviews. The data analysis was performed using SAS9.4. Two binary logistic regression models were employed to identify the association between regular medication use and social support.

RESULTS

The rate of regular medication adherence among community-dwelling patients with schizophrenia was 41.5%,which was lower than that indicated by recent research(Li et al., 2020) before COVID-19 in western rural China. The mean scores and standard deviation of the patient's objective support, subjective support, and support utilization were 4.94 ± 1.57, 17.03 ± 5.24, and 5.25 ± 2.75, respectively. The social support standard deviation was 27.22 ± 6.32. The crude odds ratio of objective support, subjective support, and support utilization were 0.790 (95%CI:0.713-0.876), 0.999 (95%CI:0.971-1.027), and 1.049 (95%CI:0.995-1.105) respectively. After adjusting for potential factors, the adjusted odds ratio of objective support, subjective support, and support utilization were 0.758 (95%CI:0.673-0.853), 1.030 (95%CI:0.994-1.068), and 1.043 (95%CI:0.985-1.105), respectively.

CONCLUSIONS

During the COVID-19 pandemic, community-dwelling schizophrenia patients had a low rate of regular medication adherence. This was particularly true of those who were older adults, less educated and living in rural areas. The results of this study suggest that strengthening social support may effectively improve medication adherence for those patients.

The effect of medication adherence on psychosocial adjustment to body weight, image, and self-esteem in patients with schizophrenia

PURPOSE

The present study aimed to evaluate the effect of medication adherence on psychosocial adjustment to body weight, image, and self-esteem in patients with schizophrenia.

DESIGN AND METHODS

This cross-sectional and correlational study consisted of 154 patients with schizophrenia registered in a Community Mental Health Center.

FINDINGS

The patients had moderate psychosocial adjustment to body weight, image, and self-esteem, and 56.5% had poor medication adherence. There was a significant positive correlation between participants' medication adherence and psychosocial adjustment to body weight, image, and self-esteem.

PRACTICE IMPLICATIONS

Psychiatric nurses should support patients regarding medication adherence, and psychosocial adjustment to body weight, image, and self-esteem.

Relationship between Family Knowledge and Compliance in Medication for Schizophrenia Outpatient at Prof. M. Ildrem Mental Hospital

BACKGROUND: Schizophrenia is a global health problem that demands care and support. Compliance with taking medication for schizophrenia patients is influenced by the efficacy of taking medication, support for patients, side effects of drugs, and patient attitudes. The family is the closest person to the patient who has an important role in the patient’s recovery. AIM: The objective of the was to determine the relationship between family knowledge and compliance with schizophrenia outpatient at Prof. M. Ildrem Mental Hospital. METHODS: This study was a comparative analytic study using a cross-sectional design. Questionnaire data obtained from 50 respondents of schizophrenia patients and 50 of their families were processed and then analyzed using the Chi-square test. RESULTS: Chi-square test with p = 0.008, <α 0.05, indicating that there is a relationship between family knowledge and adherence to medication in schizophrenia outpatients. CONCLUSION: Many factors affect compliance in the treatment of schizophrenic patients, one of which is the level of family knowledge about schizophrenia. Family knowledge about schizophrenia is very important, because the higher the level of family knowledge about schizophrenia, the patient’s adherence to treatment will also be better.

Assessment of Antipsychotic Medications on Social Media: Machine Learning Study

Background: Antipsychotic medications are the first-line treatment for schizophrenia. However, non-adherence is frequent despite its negative impact on the course of the illness. In response, we aimed to investigate social media posts about antipsychotics to better understand the online environment in this regard. Methods: We collected tweets containing mentions of antipsychotic medications posted between January 1st 2019 and October 31st 2020. The content of each tweet and the characteristics of the users were analyzed as well as the number of retweets and likes generated. Results: Twitter users, especially those identified as patients, showed an interest in antipsychotic medications, mainly focusing on the topics of sexual dysfunction and sedation. Interestingly, paliperidone, despite being among one of the newest antipsychotics, accounted for a low number of tweets and did not generate much interest. Conversely, retweet and like ratios were higher in those tweets asking for or offering help, in those posted by institutions and in those mentioning cognitive complaints. Moreover, health professionals did not have a strong presence in tweet postings, nor did medical institutions. Finally, trivialization was frequently observed. Conclusion: This analysis of tweets about antipsychotic medications provides insights into experiences and opinions related to this treatment. Twitter user perspectives therefore constitute a valuable input that may help to improve clinicians' knowledge of antipsychotic medications and their communication with patients regarding this treatment.