Mental Health Literacy Levels of Medical Staff in China: An Assessment Based on a Meta-Analysis

Guo, Shengyu; Xiong, Jie; Liu, Feiyue; Su, Yanlin

doi:10.3389/fpsyt.2021.683832

Cited by 3 publications

(3 citation statements)

References 26 publications

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“…In this study, we observed that the overall rate of awareness of mental health knowledge among primary care workers in Wuhan, China, was 84.4 %, which is slightly higher than levels that have previously been reported [ 38 ]. This finding might be related to a pilot project of the national social and psychological service system that was implemented in Wuhan.…”

Section: Discussioncontrasting

confidence: 58%

Psychological resilience and related factors among primary care workers in Wuhan, China: A cross-sectional study

Chen,

Wang,

Zhao

et al. 2024

Heliyon

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Section: Discussioncontrasting

confidence: 58%

Psychological resilience and related factors among primary care workers in Wuhan, China: A cross-sectional study

Chen,

Wang,

Zhao

et al. 2024

Heliyon

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“…These findings contradict the Aljassim and Ostini review of health literacy in rural and urban populations [20]. According to the above research, significantly higher levels of health literacy were found in urban residents [21][22][23]. It should be noted, however, that the aforementioned studies did not include European countries.…”

Section: Data Is Presented As: An (%) or Bmean (M) ± Standard Deviati...contrasting

confidence: 56%

Health literacy levels and their sociodemographic, family, and health predictors among primary health care patients in urban and rural areas: a cross-sectional study

Niedorys-Karczmarczyk,

Nowicki,

Chrzan-Rodak

et al. 2024

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Introduction: Health literacy (HL) plays a key role in accessing, understanding, appraising, and using health-related information within the healthcare, disease prevention, and health promotion areas. Aim of the research: To determine the level of health literacy among primary health care (PHC) patients depending on their place of residence, and to evaluate the impact of individual sociodemographic, family, and health predictors on the level of health literacy within the study group. Material and methods:The cross-sectional study included 566 primary health care (PHC) patients, and it was conducted between January and December 2020. The data was collected using the paper and pencil interview (PAPI) method. The research tools applied were the European Health Competence Questionnaire (HLS-EU-Q16), the Family APGAR Questionnaire, the General Health Questionnaire (GHQ-28), and the authors' own questionnaire. Results: The mean age in the study group was 49.28 ±18.39 years. The respondents were mostly women (63.3%; n = 358) and came from rural areas (52.5%; n = 297). The mean HL score (HLS-EU-Q16) of urban residents was slightly higher (12.19 ±3.5) than that of the rural residents (11.91 ±4.1). Age, financial capabilities, family function (Family Apgar), and mental health condition (GHQ-28) were found to be significantly associated with HL levels in both urban and rural residents (p < 0.05). Conclusions: In a multivariate analysis, HL levels in urban residents were positively related to family function but negatively associated with financial capability and mental condition. Financial situation, source of income, and family function were positively associated with HL among rural residents, while gender and mental health condition were negatively associated with HL. StreszczenieWprowadzenie: Kompetencje zdrowotne (HL) odgrywają kluczową rolę w procesie uzyskiwania dostępu, rozumienia, oceniania i stosowania informacji związanych ze zdrowiem w obszarze opieki zdrowotnej, profilaktyki chorób i promocji zdrowia. Cel pracy: Określenie poziomu kompetencji zdrowotnych wśród pacjentów podstawowej opieki zdrowotnej (POZ) w zależności od miejsca zamieszkania oraz ocena wpływu wybranych predyktorów socjodemograficznych, rodzinnych i zdrowotnych na poziom kompetencji zdrowotnych w badanej grupie. Materiał i metody: Badania przekrojowe przeprowadzono między styczniem a grudniem 2020 roku wśród 566 pacjentów POZ. Dane zostały zebrane metodą paper and pencil interview (PAPI). Narzędziami badawczymi były Europejski kwestionariusz kompetencji zdrowotnych (HLS-EU-Q16), Kwestionariusz oceny sytuacji rodzinnej Family Apgar, Kwestionariusz ogólnego stanu zdrowia (GHQ-28) oraz autorski kwestionariusz ankiety. Wyniki: Średnia wieku uczestników badania wynosiła 49,28 ±18,39 roku. Wśród respondentów przeważały kobiety (63,3%; n = 358) oraz mieszkańcy obszarów wiejskich (52,5%; n = 297). Średni wynik kompetencji zdrowotnych mieszkańców miasta (12,19 ±3,5) był nieco wyższy niż mieszkańców rejonów wiejskich (11,91 ±4,1). Wiek, możliwości finanso...

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“…Medical staff also experienced psychological stress from work-related burnout and somatic symptoms ( 10 ). A meta-analysis of the awareness rate of medical staff shows that the highest awareness rate comes from psychological hospital staff, with an awareness rate of 88%; the awareness rate of non-psychiatric medical staff was only 68%, which was lower than general population ( 11 ). Meanwhile, another meta-analysis shows key point studies that conducted in China reported more mental problems than in other countries ( 12 ).…”

Section: Introductionmentioning

confidence: 97%

Burnout, depression, anxiety and insomnia among medical staff during the COVID-19 epidemic in Shanghai

Tang

et al. 2023

Front. Public Health

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BackgroundCoronavirus disease 2019 (COVID-19) has progressively impacted our daily lives, resulting in unexpected physical and mental stress on medical staff. This study is designed to investigate the levels of and risk factors for burnout, depression, anxiety, and insomnia among medical staff during the COVID-19 epidemic breakout in Shanghai, China.MethodsThis cross-sectional survey was conducted from May 1 to May 31, 2022, among medical staff who were on the frontline during the epidemic breakout in Shanghai from different institutions. The MBI-HSS was used to assess burnout, PHQ-9, GAD-7 and ISI were used to evaluate mental status and insomnia.ResultsA total of 543 valid questionnaires were collected. The depersonalization, depression, anxiety, and insomnia scores of medical staff were significantly higher during the pandemic in Shanghai compared with norms, while lack of personal achievement scores were decreased. Working time, work unit, work environment and age are important influencers of burnout, depression and anxiety of medical staff. Long working hours are the most likely causes of burnout and emotional disorders. Medical staff in primary hospitals were most likely to suffer from burnout and emotional disorders, while medical staff in tertiary hospitals had a reduced sense of personal achievement. Young medical staff are prone to negative emotions such as depression and anxiety, while older medical staff have a lower sense of personal accomplishment. Medical staff who were not in the shelter hospitals or designated hospitals were more likely to have problems of emotional exhaustion, depersonalization and anxiety than those who were in the shelter hospitals or designated hospitals. Contracting COVID-19 had no effect on medical staff. Emotional exhaustion and depersonalization were positively correlated with anxiety, depression, and sleep disorders while personal achievement was negatively correlated with these factors.ConclusionMedical staff in Shanghai had high burnout, depression, anxiety and insomnia levels during the epidemic outbreak in Shanghai. During the COVID-19, medical staff may suffer different psychological problems which should be concerned. Care and supports about burnout, mental health and insomnia need to be taken to promote the mental health of medical staff according to different characteristics of medical staff.

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Mental Health Literacy Levels of Medical Staff in China: An Assessment Based on a Meta-Analysis

Cited by 3 publications

References 26 publications

Psychological resilience and related factors among primary care workers in Wuhan, China: A cross-sectional study

Psychological resilience and related factors among primary care workers in Wuhan, China: A cross-sectional study

Health literacy levels and their sociodemographic, family, and health predictors among primary health care patients in urban and rural areas: a cross-sectional study

Burnout, depression, anxiety and insomnia among medical staff during the COVID-19 epidemic in Shanghai

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