1
|
Schmidt-Stiedenroth K, Mambrey V, Dreher A, Loerbroks A. Psychosocial working conditions and mental health among medical assistants in Germany: a scoping review. BMC Public Health 2024; 24:716. [PMID: 38448891 PMCID: PMC10916249 DOI: 10.1186/s12889-024-17798-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 01/17/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND Medical assistants (MA) constitute one of the largest professions in outpatient health care in Germany. The psychosocial working conditions of health care staff are generally believed to be challenging and to thereby increase the risk of poor mental health. A review of MA's psychosocial working conditions and mental health is lacking, however. We aimed to systematically identify and summarize existing research on psychosocial working conditions and mental health of MA by addressing (1) Which methods, concepts, and instruments have been used to capture the psychosocial working conditions and mental health among MA in Germany? (2) What findings are available? and (3) What are the research gaps? METHODS We systematically searched Medline, Scopus, CCMed and Google Scholar. Using the Population Concept Context (PCC)-framework, we applied the following eligibility criteria: (a) Language: English or German, (b) publication between 2002-2022, (c) original study, (d) study population: mainly MA (i.e., ≥ 50% of the study population), (e) concept: psychosocial working conditions and/or mental health, and (f) context: Germany. Two reviewers extracted data independently, results were compared for accuracy and completeness. RESULTS Eight hundred twenty-seven sources were identified. We included 30 publications (19 quantitative, 10 qualitative, and one mixed methods study). Quantitative studies consistently reported high job satisfaction among MA. Quantitative and mixed methods studies frequently reported aspects related to job control as favorable working conditions, and aspects related to job rewards as moderate to unfavorable. Qualitative studies reported low job control in specific work areas, high demands in terms of workload, time pressure and job intensity, and a desire for greater recognition. Social interactions seemed to be important resources for MA. Few studies (n = 8) captured mental health, these reported inconspicuous mean values but high prevalences of anxiety, burnout, depression, and stress among MA. Studies suggested poorer psychosocial working conditions and mental health among MA during the COVID-19 pandemic. CONCLUSIONS Quantitative studies tend to suggest more favorable psychosocial working conditions among MA than qualitative studies. We suggest mixed methods to reconcile this alleged inconsistency. Future research should examine discrepancies between job satisfaction and unfavorable working conditions and if psychosocial working conditions and mental health remain changed after the COVID-19 pandemic.
Collapse
Affiliation(s)
- Kira Schmidt-Stiedenroth
- Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty and University Hospital, Heinrich Heine University Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany.
| | - Viola Mambrey
- Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty and University Hospital, Heinrich Heine University Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
| | - Annegret Dreher
- Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty and University Hospital, Heinrich Heine University Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
| | - Adrian Loerbroks
- Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty and University Hospital, Heinrich Heine University Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
| |
Collapse
|
2
|
Krahner A, Dietzsch AC, Jütte T, Pistorius J, Everaars J. Standardising bee sampling: A systematic review of pan trapping and associated floral surveys. Ecol Evol 2024; 14:e11157. [PMID: 38500849 PMCID: PMC10944983 DOI: 10.1002/ece3.11157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 02/19/2024] [Accepted: 03/01/2024] [Indexed: 03/20/2024] Open
Abstract
The use of coloured pan traps (bee bowls, Moericke traps) for sampling bees (and other pollinators) has continuously increased over the last two decades. Although a number of methodological studies and conceptual frameworks offer guidance on standardised sampling, pan trap setups vary widely in characteristics even when optimised for capturing bees. Moreover, some uncertainty persists as to how local flower abundance and diversity influence sampling. We systematically reviewed peer-reviewed studies that used pan traps for bee collection and that were listed in the Web of Science core collection. To gauge methodological variation, we identified a set of relevant methodological criteria and assessed the studies accordingly. For obtaining evidence that pan trap samples and floral environment around traps are correlated, we screened the relevant studies for such correlations. While some aspects of pan trapping (e.g., trap coloration and elevation) were similar in the majority of studies, other aspects varied considerably (e.g., trap volume/diameter and sampling duration). Few studies used floral abundance and/or diversity as an explanatory variable in their analyses of bee samples. Among these studies, we found a considerable variation in key aspects of floral survey methods, such as time and space between vegetation surveys and pan trap sampling, abundance measures (quantitative, semi-quantitative and presence-absence), and processing of raw data prior to analysis. Often studies did not find any correlation between the floral environment and bee samples. Reported correlations varied markedly across studies, even within groups of studies applying a similar method or analysing a similar group of bees. Our synthesis helps to identify key issues of further standardisation of pan trap methodology and of associated floral surveys. In addition to the few aspects that have been standardised over the past decades, we suggest methodological direction for future research using pan traps as a better standardised method for the collection of wild bees. We encourage further studies to illuminate if and how varying floral resources around traps bias bee samples from pan traps. More generally, our synthesis shows that trapping methodologies should be reviewed regularly when their use increases to ensure standardisation.
Collapse
Affiliation(s)
- André Krahner
- Julius Kühn Institute (JKI) – Federal Research Centre for Cultivated Plants, Institute for Bee ProtectionBraunschweigGermany
| | - Anke C. Dietzsch
- Julius Kühn Institute (JKI) – Federal Research Centre for Cultivated Plants, Institute for Bee ProtectionBraunschweigGermany
| | - Tobias Jütte
- Julius Kühn Institute (JKI) – Federal Research Centre for Cultivated Plants, Institute for Bee ProtectionBraunschweigGermany
| | - Jens Pistorius
- Julius Kühn Institute (JKI) – Federal Research Centre for Cultivated Plants, Institute for Bee ProtectionBraunschweigGermany
| | - Jeroen Everaars
- Julius Kühn Institute (JKI) – Federal Research Centre for Cultivated Plants, Institute for Bee ProtectionBraunschweigGermany
| |
Collapse
|
3
|
Spinellis D. Open reproducible scientometric research with Alexandria3k. PLoS One 2023; 18:e0294946. [PMID: 38032908 PMCID: PMC10688655 DOI: 10.1371/journal.pone.0294946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 11/11/2023] [Indexed: 12/02/2023] Open
Abstract
Considerable scientific work involves locating, analyzing, systematizing, and synthesizing other publications, often with the help of online scientific publication databases and search engines. However, use of online sources suffers from a lack of repeatability and transparency, as well as from technical restrictions. Alexandria3k is a Python software package and an associated command-line tool that can populate embedded relational databases with slices from the complete set of several open publication metadata sets. These can then be employed for reproducible processing and analysis through versatile and performant queries. We demonstrate the software's utility by visualizing the evolution of publications in diverse scientific fields and relationships among them, by outlining scientometric facts associated with COVID-19 research, and by replicating commonly-used bibliometric measures and findings regarding scientific productivity, impact, and disruption.
Collapse
Affiliation(s)
- Diomidis Spinellis
- Department of Management Science and Technology, Athens University of Economics and Business, Athens, Greece
- Department of Software Technology, Delft University of Technology, Delft, The Netherlands
| |
Collapse
|
4
|
Yibo Y, Ziyuan C, Simayi Z, Haobo Y, Xiaodong Y, Shengtian Y. Dynamic evaluation and prediction of the ecological environment quality of the urban agglomeration on the northern slope of Tianshan Mountains. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:25817-25835. [PMID: 36346520 DOI: 10.1007/s11356-022-23794-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
In order to timely determine the dynamic changes of the ecological environment quality and future development laws of the urban agglomeration on the northern slope of the Tianshan Mountains, combined with the actual situation of the urban agglomeration, 11 indicators were selected from the three aspects of natural ecology, social ecology, and economic ecology. To reduce the dimensions of the indicators, principal component analysis, coefficient of variation, and analytic hierarchy process were used based on RS and GIS technology methods, and the ecological environmental quality (EQI) from 2000 to 2018 was dynamically evaluated. Further, the CA-Markov model was introduced to simulate the development status in 2026 for predictive purposes. The main results are as follows: the overall ecological environment of the area exhibited a gradually improving distribution change from southwest to northeast; the proportion of ecological environment classification exhibited a gradually decreasing change pattern; the spatial differentiation of ecological environment quality exhibited a significant spatial positive correlation; from the influencing factors, an observation can be made that natural ecological factors were highly significant; the prediction accuracy verification revealed that the CA-Markov model was suitable for the prediction of the ecological environment quality in the region and had high accuracy; and the comprehensive regional ecological environment quality indexes were 5.7392, 6.1856, and 6.4366, respectively, while the forecasted value for 2026 was predicted to be 6.6285, indicating that the overall ecological environment quality of the region will improve and develop well. The present research results reveal the law of dynamic changes and future development of the ecological environment quality in the region, which can be used as a theoretical reference for the formulation of ecological environmental protection measures.
Collapse
Affiliation(s)
- Yan Yibo
- College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China
- Key Laboratory of Smart City and Environmental Modelling for General Universities, College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China
- Key Laboratory of Oasis Ecology, Ministry of Education Laboratory, Xinjiang University, Urumqi, 830046, Xinjiang, China
| | - Chai Ziyuan
- College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China
- Key Laboratory of Smart City and Environmental Modelling for General Universities, College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China
- Key Laboratory of Oasis Ecology, Ministry of Education Laboratory, Xinjiang University, Urumqi, 830046, Xinjiang, China
| | - Zibibula Simayi
- College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China.
- Key Laboratory of Smart City and Environmental Modelling for General Universities, College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China.
- Key Laboratory of Oasis Ecology, Ministry of Education Laboratory, Xinjiang University, Urumqi, 830046, Xinjiang, China.
| | - Yan Haobo
- School of Civil Engineering and Transportation, North China University of Water Resources and Electric Power, Henan, 450045, China
| | - Yang Xiaodong
- Sino-French Joint College of Ningbo University, Ningbo, 200231, Zhejiang, China
| | - Yang Shengtian
- College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China
- Key Laboratory of Smart City and Environmental Modelling for General Universities, College of Resources and Environmental Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, China
- Key Laboratory of Oasis Ecology, Ministry of Education Laboratory, Xinjiang University, Urumqi, 830046, Xinjiang, China
- School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, 100875, China
| |
Collapse
|