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      Medication Adherence among Community-Dwelling Schizophrenia Patients During the COVID-19 Pandemic: A Cross-Sectional Study

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          Abstract

          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 utilisation 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 utilisation 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.

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          Most cited references35

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          Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study

          Summary Background In December, 2019, a pneumonia associated with the 2019 novel coronavirus (2019-nCoV) emerged in Wuhan, China. We aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia. Methods In this retrospective, single-centre study, we included all confirmed cases of 2019-nCoV in Wuhan Jinyintan Hospital from Jan 1 to Jan 20, 2020. Cases were confirmed by real-time RT-PCR and were analysed for epidemiological, demographic, clinical, and radiological features and laboratory data. Outcomes were followed up until Jan 25, 2020. Findings Of the 99 patients with 2019-nCoV pneumonia, 49 (49%) had a history of exposure to the Huanan seafood market. The average age of the patients was 55·5 years (SD 13·1), including 67 men and 32 women. 2019-nCoV was detected in all patients by real-time RT-PCR. 50 (51%) patients had chronic diseases. Patients had clinical manifestations of fever (82 [83%] patients), cough (81 [82%] patients), shortness of breath (31 [31%] patients), muscle ache (11 [11%] patients), confusion (nine [9%] patients), headache (eight [8%] patients), sore throat (five [5%] patients), rhinorrhoea (four [4%] patients), chest pain (two [2%] patients), diarrhoea (two [2%] patients), and nausea and vomiting (one [1%] patient). According to imaging examination, 74 (75%) patients showed bilateral pneumonia, 14 (14%) patients showed multiple mottling and ground-glass opacity, and one (1%) patient had pneumothorax. 17 (17%) patients developed acute respiratory distress syndrome and, among them, 11 (11%) patients worsened in a short period of time and died of multiple organ failure. Interpretation The 2019-nCoV infection was of clustering onset, is more likely to affect older males with comorbidities, and can result in severe and even fatal respiratory diseases such as acute respiratory distress syndrome. In general, characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia. Further investigation is needed to explore the applicability of the MuLBSTA score in predicting the risk of mortality in 2019-nCoV infection. Funding National Key R&D Program of China.
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            2019-nCoV epidemic: address mental health care to empower society

            A novel coronavirus (2019-nCoV) has been identified as originating in Wuhan, Hubei Province, China. It has widely and rapidly spread in China and several other countries, causing an outbreak of acute infectious pneumonia. According to the official website of the National Health Commission, 1 as of Feb 4, 2020, 24 324 people have been confirmed to have a 2019-nCoV infection and 490 deaths have resulted from 2019-nCoV in 31 provinces in mainland China. 1 16 678 confirmed cases were in Hubei province. 2 Nearly 160 cases of 2019-nCoV have been detected and confirmed in southeast Asia (Thailand, Singapore, Malaysia, Vietnam, Philippines, and Cambodia), east Asia (Japan and Korea), south Asia (India, Nepal, and Sri Lanka), western Asia (United Arab Emirates), Europe (Germany, France, Italy, UK, Russia, Finland, Spain, and Sweden), North America (USA and Canada), and Australia. 3 Approximately 13% of people with confirmed 2019-nCoV infection are reported to have severe respiratory symptoms, 2% have died, and 4% have been cured. 1 Human-to-human transmission is occurring, and WHO has recommended limiting human-to-human transmission by reducing secondary infections among close contacts and health-care workers, preventing transmission amplification events, and preventing further international spread.3, 4 The outbreak of 2019-nCoV in China has caused public panic and mental health stress. The increasing number of patients and suspected cases, and the increasing number of outbreak-affected provinces and countries have elicited public worry about becoming infected. The unpredictable future of this epidemic has been exacerbated by myths and misinformation, often driven by erroneous news reports and the public's misunderstanding of health messages, thus causing worry in the population. Further travel bans and some executive orders to quarantine travellers during the Spring Festival holiday might have generated public anxiety while trying to contain the outbreak. The medical health-care workers who are caring for individuals who are either severely ill, feel scared, or experiencing bereavement are themselves exposed to trauma. Health-care workers are also at risk of getting infected, and they carry a large burden in the clinical treatment and public prevention efforts in Chinese hospitals and community settings. The challenges and stress they experience could trigger common mental disorders, including anxiety and depressive disorders, and posttraumatic stress disorder, 5 which in turn could result in hazards that exceed the consequences of the 2019-nCoV epidemic itself. To efficiently cope with the 2019-nCoV outbreak, the Chinese Government has implemented rapid and comprehensive public health emergency interventions. To date, all of the 31 provincial-level regions in mainland China with confirmed 2019-nCoV cases have activated so-called level 1 public health emergency responses (ie, the highest level of emergency public health alerts and responses within the national public health management system). 6 The provincial governments are responsible for organising, coordinating, and handling all emergency public health treatments, disclosing information, and gathering emergency materials and facilities under the guidance of the State Council. For health-care sectors, in addition to public health interventions, dealing with public psychological barriers and performing psychological crisis intervention is included in the level 1 response. The National Health Commission has released guidelines for local authorities to promote psychological crisis intervention for patients, medical personnel, and people under medical observation during the 2019-nCoV outbreak. 7 Peking University is preparing a mental health handbook for the public that describes how to deal with stress and other psychological problems occurring due to the outbreak of 2019-nCoV. 8 The Chinese Government strives to improve the public's awareness of prevention and intervention strategies by providing daily updates about surveillance and active cases on websites and social media. Increasingly, psychologists and psychiatrists use the internet and social media (eg, WeChat, Weibo, etc) to share strategies for dealing with psychological stress. For example, experts from Peking University Sixth Hospital made six suggestions for the public to cope with mental stress. 9 These included assessing the accuracy of information disclosed, enhancing social support systems (eg, families and friends), eliminating stigma associated with the epidemic, maintaining a normal life under safe conditions, and using the psychosocial service system, particularly telephone-based and internet-based counselling for health-care staff, patients, family members, and the public. Numerous psychiatric hospitals, psychological counselling centres, and psychology departments within universities have launched specialised hotlines to provide psychological counselling services for people in need. 7 We believe that including mental health care in the national public health emergency system will empower China and the world during the campaign to contain and eradicate 2019-nCoV.
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              Prevalence of mental disorders in China: a cross-sectional epidemiological study

              The China Mental Health Survey was set up in 2012 to do a nationally representative survey with consistent methodology to investigate the prevalence of mental disorders and service use, and to analyse their social and psychological risk factors or correlates in China. This paper reports the prevalence findings.
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                Author and article information

                Journal
                Psychiatry Res
                Psychiatry Res
                Psychiatry Research
                Elsevier B.V.
                0165-1781
                1872-7123
                9 September 2022
                9 September 2022
                : 114841
                Affiliations
                [1 ]Foreign Affairs Office, North Sichuan Medical College, Nanchong, Sichuan, China
                [2 ]Department of Psychiatric Rehabilitation, Nanchong Psychosomatic Hospital Affiliated to North Sichuan Medical College, Nanchong, Sichuan, China
                [3 ]Department of Epidemiology and Health Statistics, School of Public Health, North Sichuan Medical College, Nanchong, Sichuan, China
                Author notes
                [* ] Correspondence: Xiaobing TIAN, PhD. Professor of Epidemiology and Health Statistics. School of Public Health, North Sichuan Medical College, Address: No.234 Fujiang Road, Nanchong City, Sichuan Province, Chin, Zip code: 637000, Tel: + 86 18008171765
                Article
                S0165-1781(22)00434-6 114841
                10.1016/j.psychres.2022.114841
                9461236
                36113253
                950d7575-3dad-49e4-a412-ea1d287dd865
                © 2022 Elsevier B.V. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 5 July 2022
                : 6 September 2022
                : 7 September 2022
                Categories
                Article

                Clinical Psychology & Psychiatry
                covid-19 pandemic,schizophrenia,medication adherence,social support,community

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