The revision and factor analytic evaluation of the German version of the depression literacy scale (D-Lit-R German).
D-Lit-R German
Depression literacy
Depression literacy scale
Knowledge
Mental health literacy
Journal
BMC psychology
ISSN: 2050-7283
Titre abrégé: BMC Psychol
Pays: England
ID NLM: 101627676
Informations de publication
Date de publication:
25 Apr 2024
25 Apr 2024
Historique:
received:
03
10
2023
accepted:
14
04
2024
medline:
26
4
2024
pubmed:
26
4
2024
entrez:
25
4
2024
Statut:
epublish
Résumé
Depression is a common mental health disorder and the second leading cause of disability worldwide. In people with depression, low depression literacy, which could be characterized by a poor recognition of depressive symptoms and less knowledge about the availability of treatment options, can hinder adequate therapy for depression. Nevertheless, questionnaires measuring depression literacy in Germany are rare. Consequently, for the present study, the German Depression Literacy Scale (D-Lit) has been revised and evaluated. First, a team of clinical psychologists revised the D-Lit German scale. Next, cognitive interviews were conducted with patients with depression to improve the comprehensibility of the scale items. Our revision of the D-Lit-R German scale was then subjected to an anonymous online study. Finally, the data went through an exploratory factor analysis, and sociodemographic subgroup analyses were performed. N = 524 individuals (age 18-80) completed the D-Lit-R German scale and a questionnaire on their sociodemographic data. Cronbach´s alpha was estimated as α = .72, and McDonald's Omega (categorical) was estimated as ω = .77. The mean Item difficulty was M = .75 (SD = .15). An EFA was performed for a unidimensional model, a 5-factor-model and at last a 3-factor-model. The 5-factorial model showed a good model fit (χ The D-Lit-R German scale is a time-efficient scale to assess some aspects of the depression literacy construct that can be easily applied. Since there was no perfect model fit, it is recommended to continue to revise the scale. Further evaluation studies could ask for knowledge of the etiological factors of depression. Future studies could then use this instrument to convey depression literacy. This instrument could assess the growth of knowledge after psychoeducational interventions in different settings. This trial was preregistered at the platform osf.io ( https://osf.io/49xdh ). https://doi.org/10.17605/OSF.IO/49XDH Date of registration: 28 April 2022.
Sections du résumé
BACKGROUND
BACKGROUND
Depression is a common mental health disorder and the second leading cause of disability worldwide. In people with depression, low depression literacy, which could be characterized by a poor recognition of depressive symptoms and less knowledge about the availability of treatment options, can hinder adequate therapy for depression. Nevertheless, questionnaires measuring depression literacy in Germany are rare. Consequently, for the present study, the German Depression Literacy Scale (D-Lit) has been revised and evaluated.
METHODS
METHODS
First, a team of clinical psychologists revised the D-Lit German scale. Next, cognitive interviews were conducted with patients with depression to improve the comprehensibility of the scale items. Our revision of the D-Lit-R German scale was then subjected to an anonymous online study. Finally, the data went through an exploratory factor analysis, and sociodemographic subgroup analyses were performed.
RESULTS
RESULTS
N = 524 individuals (age 18-80) completed the D-Lit-R German scale and a questionnaire on their sociodemographic data. Cronbach´s alpha was estimated as α = .72, and McDonald's Omega (categorical) was estimated as ω = .77. The mean Item difficulty was M = .75 (SD = .15). An EFA was performed for a unidimensional model, a 5-factor-model and at last a 3-factor-model. The 5-factorial model showed a good model fit (χ
CONCLUSIONS
CONCLUSIONS
The D-Lit-R German scale is a time-efficient scale to assess some aspects of the depression literacy construct that can be easily applied. Since there was no perfect model fit, it is recommended to continue to revise the scale. Further evaluation studies could ask for knowledge of the etiological factors of depression. Future studies could then use this instrument to convey depression literacy. This instrument could assess the growth of knowledge after psychoeducational interventions in different settings.
TRIAL REGISTRATION
BACKGROUND
This trial was preregistered at the platform osf.io ( https://osf.io/49xdh ).
REGISTRATION NUMBER
BACKGROUND
https://doi.org/10.17605/OSF.IO/49XDH Date of registration: 28 April 2022.
Identifiants
pubmed: 38664847
doi: 10.1186/s40359-024-01730-9
pii: 10.1186/s40359-024-01730-9
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
235Subventions
Organisme : Deutsche Forschungsgemeinschaft
ID : DFG-GrK 2621/POKAL-Kolleg
Organisme : Deutsche Forschungsgemeinschaft
ID : DFG-GrK 2621/POKAL-Kolleg
Organisme : Deutsche Forschungsgemeinschaft
ID : DFG-GrK 2621/POKAL-Kolleg
Organisme : Deutsche Forschungsgemeinschaft
ID : DFG-GrK 2621/POKAL-Kolleg
Organisme : Deutsche Forschungsgemeinschaft
ID : DFG-GrK 2621/POKAL-Kolleg
Organisme : Deutsche Forschungsgemeinschaft
ID : DFG-GrK 2621/POKAL-Kolleg
Investigateurs
Markus Bühner
(M)
Tobias Dreischulte
(T)
Peter Falkai
(P)
Jochen Gensichen
(J)
Peter Henningsen
(P)
Caroline Jung-Sievers
(C)
Helmut Krcmar
(H)
Kirsten Lochbühler
(K)
Karoline Lukaschek
(K)
Gabriele Pitschel-Walz
(G)
Barbara Prommegger
(B)
Andrea Schmitt
(A)
Antonius Schneider
(A)
Katharina Biersack
(K)
Constantin Brand
(C)
Vita Brisnik
(V)
Christopher Ebert
(C)
Julia Eder
(J)
Feyza Gökce
(F)
Carolin Haas
(C)
Lisa Hattenkofer
(L)
Lukas Kaupe
(L)
Jonas Raub
(J)
Philipp Reindl-Spanner
(P)
Hannah Schillok
(H)
Petra Schönweger
(P)
Clara Teusen
(C)
Marie Vogel
(M)
Victoria von Schrottenberg
(V)
Jochen Vukas
(J)
Puya Younesi
(P)
Informations de copyright
© 2024. The Author(s).
Références
Evaluation IoHMa: Results from the 2019 Global Burden of Diseases study. In.; 2019.
WHO WHO: Systematisches Verzeichnis, Internationale statistische Klassifikation der Krankheiten und verwandter Gesundheitsprobleme,. In., vol. 10: Deutsches Institut für Medizinische Dokumentation und Information (DIMDI) im Auftrag des Bundesministeriums für Gesundheit (BMG) unter Beteiligung der Arbeitsgruppe ICD des Kuratoriums für Fragen der Klassifikation im Gesundheitswesen (KKG). ; 2018.
Bundesärztekammer (BÄK), Kassenärztliche Bundesvereinigung (KBV), Arbeitsgemeinschaft der Wissenschaftlichen MFA: Nationale VersorgungsLeitlinie Unipolare Depression – Langfassung, Version 3.1. In.; 2022.
Mack S, Jacobi F, Gerschler A, Strehle J, Hofler M, Busch MA, Maske UE, Hapke U, Seiffert I, Gaebel W, et al. Self-reported utilization of mental health services in the adult German population–evidence for unmet needs? Results of the DEGS1-Mental Health Module (DEGS1-MH). Int J Methods Psychiatr Res. 2014;23(3):289–303.
pubmed: 24687693
pmcid: 6878535
doi: 10.1002/mpr.1438
Nubel J, Mullender S, Hapke U, Jacobi F. Epidemic of depression? : Development of prevalence and help-seeking behaviour. Nervenarzt. 2019;90(11):1177–86.
pubmed: 30719537
Tomczyk S, Muehlan H, Freitag S, Stolzenburg S, Schomerus G, Schmidt S. Is knowledge “half the battle”? The role of depression literacy in help-seeking among a non-clinical sample of adults with currently untreated mental health problems. J Affect Disord. 2018;238:289–96.
pubmed: 29902732
doi: 10.1016/j.jad.2018.05.059
Freitag S, Stolzenburg S, Schomerus G, Schmidt S. Depression Literacy - German Translation and Testing of the Depression Literacy Scale. Psychiatr Prax. 2018;45(8):412–9.
pubmed: 29237194
doi: 10.1055/s-0043-119245
Jorm AF, Korten AE, Jacomb PA, Christensen H, Rodgers B, Pollitt P. “Mental health literacy”: a survey of the public’s ability to recognise mental disorders and their beliefs about the effectiveness of treatment. MJA. 1997;166(4):182–6.
pubmed: 9066546
Rüsch N, Evans-Lecko SE, Henderson C, Flach C, Thornicroft G. Knowledge and Attitudes as Predictors of Intentions to Seek Help for and Disclose a Mental Illness. Psychiatr Serv. 2011;62:675–8.
pubmed: 21632739
doi: 10.1176/ps.62.6.pss6206_0675
Angermeyer MC, Holzinger A, Matschinger H. Mental health literacy and attitude towards people with mental illness: a trend analysis based on population surveys in the eastern part of Germany. Eur Psychiatry. 2009;24(4):225–32.
pubmed: 19361961
doi: 10.1016/j.eurpsy.2008.06.010
Goldney R, Fisher L, Wilson D. Mental helath literacy: an impediment to optimum tretment of major depression in the community. J Affect Disord. 2001;64:277–84.
pubmed: 11313096
doi: 10.1016/S0165-0327(00)00227-5
Rüsch N, Müller M, Ajdacic-Gross V, Rodgers S, Corrigan PW, Rossler W. Shame, perceived knowledge and satisfaction associated with mental health as predictors of attitude patterns towards help-seeking. Epidemiol Psychiatr Sci. 2014;23(2):177–87.
pubmed: 23866069
doi: 10.1017/S204579601300036X
Wang J, Adair C, Fick G, Lai D, Evans B, Perry BW, Jorm A, Addington D. Depression literacy in Alberta: findings from a general population sample. La Revue canadienne de psychiatrie. 2007;52(7):442–9.
Sorensen K, Pelikan JM, Rothlin F, Ganahl K, Slonska Z, Doyle G, Fullam J, Kondilis B, Agrafiotis D, Uiters E, et al. Health literacy in Europe: comparative results of the European health literacy survey (HLS-EU). Eur J Public Health. 2015;25(6):1053–8.
pubmed: 25843827
pmcid: 4668324
doi: 10.1093/eurpub/ckv043
Makowski AC, Harter M, Schomerus G, von dem Knesebeck O. What Does the Public Know About Varying Depression Severity?-Results of a Population Survey. Int J Public Health. 2021;66:607794.
pubmed: 34744574
pmcid: 8565267
doi: 10.3389/ijph.2021.607794
World Health Organization: Depressive disorder (depression). In.: https://www.who.int/news-room/fact-sheets/detail/depression ; 2023.
Kadam U, Croft P, McLeod J, Hutchinson M. A qualitative study of patient´s views on anxiety and depression. Br J Gen Pract. 2001;51:375–80.
pubmed: 11360702
pmcid: 1314002
Loeb P. Unbefriedigende Behandlung der Depression- nur Sache des Hausarztes? Schweizerische Ärztezeitung. 2010;91(4):117–9.
doi: 10.4414/saez.2010.14910
Trautmann S, Beesdo-Baum K. The treatment of depression in primary care. Dtsch Arztebl Int. 2017;114(43):721–8.
pubmed: 29143731
pmcid: 5696564
Baumeister A, Mantell PK, Woopen C. Gesundheitskompetenz im Kontext psychischer Erkrankungen: Konzeptanalyse, Forschungsstand, Interventionsansätze. In: Rathmann K, Dadaczynski K, Okan O, Messer M, editors. Gesundheitskompetenz. Berlin, Heidelberg: Springer; 2022. p. 1–11.
O`Connor M, Casey L. The Mental Health Literacy Scale (MHLS): A new scale-based measure of mental health literacy. Psychiatry Res. 2015;229(1–2):511–6.
pubmed: 26228163
doi: 10.1016/j.psychres.2015.05.064
Wei Y, McGrath P, Hayden J, Kutcher S. The quality of mental health literacy measurement tools evaluating the stigma of mental illness: a systematic review. Epidemiol Psychiatr Sci. 2018;27(5):433–62.
pubmed: 28462747
doi: 10.1017/S2045796017000178
Görnitz A, Pitschel-Walz G, Bäuml J: Wissensfragebogen: Depressive Erkrankungen. In: Psychoedukation Depression Manual zur Leitung von Patienten und Angehörigengruppen. edn. Edited by Pitschel-Walz GB, J. : Urban Fischer; 1998.
Griffiths KM, Christensen H, Jorm AF, Evans K, Groves C. Effect of web-based depression literacy and cognitive-behavioural therapy interventions on stigmatising attitudes to depression: randomised controlled trial. Br J Psychiatry. 2004;185:342–9.
pubmed: 15458995
doi: 10.1192/bjp.185.4.342
Bland JM, Altman DG. Cronbach´s alpha. BMJ. 1997;314(7080):7572.
doi: 10.1136/bmj.314.7080.572
Pitschel-Walz G, Bäuml J, Kissling W. Psychoedukation bei Depression- Manual zur Leitung von Patienten- und Angehörigengruppen. 2nd ed. München: Elsevier; 2018.
Gökce F, Jais D, Pitschel-Walz G: German Depression Literacy Scale Revised (D-Lit-R German). In.: Institute of General Practice and Health Services Research, TU Munich; 2022.
Prüfer P, Rexroth M: Kognitive Interviews (GESIS-How-to, 15). Mannheim: Zentrum für Umfragen, Methoden und Analysen -ZUMA-; 2005.
Faulbaum F, Prüfer P, Rexroth M. Was ist eine gute Frage? Wiesbaden: VS Verlag für Sozialwissenschaften; 2009.
doi: 10.1007/978-3-531-91441-1
Schönbrodt FD, Perugini M. At what sample size do correlations stabilize? J Res Pers. 2013;47:609–12.
doi: 10.1016/j.jrp.2013.05.009
Kretzschmar A, Gignac G. At what sample size do latent variable correlations stabilize? J Res Pers. 2019;80:17–22.
doi: 10.1016/j.jrp.2019.03.007
Rubin D. Multiple Imputation for Nonresponse in Surveys. New York: John WIley & Sons Inc.; 1987.
doi: 10.1002/9780470316696
Jakobsen JC, Gluud C, Wetterslev J, Winkel P. When and how should multiple imputation be used for handling missing data in randomised clinical trials - a practical guide with flowcharts. BMC Med Res Methodol. 2017;17(162):1–10.
Sterne JAC, White IR, Carlin JB, Spratt M, Royston P, Kenward MG, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ 2009;338:b2393.
Bartlett MS. Tests of significance in factor analysis. The British Journal of Psychology. 1950;3:77–85.
Kaiser HF. An Index of Factorial Simplicity. Psychometrika. 1974;39(1):31–6.
doi: 10.1007/BF02291575
Horn JL. A rationale and test for the number of factors in a factor analysis. Psychometrica. 1965;30(2):179–85.
doi: 10.1007/BF02289447
Velicer WF. Determining the number of components from the matrix of partial correlations. Psychometrika. 1976;41(3):321–7.
doi: 10.1007/BF02293557
Bühner M: Einführung in die Test- und Fragebogenkonstruktion 4edn: Pearson Studium 2021.
DiStefano C, Morgan GB. A Comparison of Diagonal Weighted Least Squares Robust Estimation Techniques for Ordinal Data. Struct Equ Modeling. 2014;21(3):425–38.
doi: 10.1080/10705511.2014.915373
Lt Hu. Bentler PM: Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Modeling. 1999;6(1):1–55.
doi: 10.1080/10705519909540118
Kelava A, Moosbrugger H. Deskriptivstatistische Itemanalyse und Testwertbestimmung. In: Moosbrugger H, Kelava A, editors. Testthheorie und Fragebogenkonstruktion. Berlin: Springer; 2020. p. 143–58 3 edn.
doi: 10.1007/978-3-662-61532-4_7
Jorm AF. Mental health literacy: empowering the community to take action for better mental health. Am Psychol. 2012;67(3):231–43.
pubmed: 22040221
doi: 10.1037/a0025957
Jeong YM, Hughes TL, McCreary L, Johnson TP, Park C, Choi H. Validation of the Korean Parental Depression Literacy Scale. Int J Ment Health Nurs. 2018;27(2):712–26.
pubmed: 28786153
doi: 10.1111/inm.12358
Tehrani H, Nejatian M, Moshki M, Jafari A. Psychometric properties of Persian version of depression literacy (D-Lit) questionnaire among general population. Int J Ment Health Syst. 2022;16(1):40.
pubmed: 35962416
pmcid: 9372931
doi: 10.1186/s13033-022-00550-x
Darraj HA, Mahfouz MS, Al Sanosi RM, Badedi M, Sabai A, Al Refaei A, Mutawm H. Arabic Translation and Psychometric Evaluation of the Depression Literacy Questionnaire among Adolescents. Psychiatry J. 2016;2016:8045262.
pubmed: 27294105
pmcid: 4884600
doi: 10.1155/2016/8045262
Arafat SMY, Shams SF, Rahman Chowdhury MH, Chowdhury EZ, Hoque MB, Abdul Bari M. Adaptation and validation of the Bangla version of the Depression Literacy Questionnaire. J Psychiatry. 2017;20:412. https://doi.org/10.4172/2378-5756-1000412 .
doi: 10.4172/2378-5756-1000412
Imano T, Yokoyama K, Itoh H, Shoji E, Asano K. Development of the Japanese version of the Depression Literacy Scale. Int J Soc Psychiatry. 2022;68(8):1708–15.
pubmed: 36281522
doi: 10.1177/00207640211057728
Althaus D, Stefanek J, Hasford J, Hegerl U. Knowledge and attitude of the general public regarding symptoms, etiology and possible treatments of depressive illnesses. Nervenarzt. 2002;73(7):659–64.
pubmed: 12212529
doi: 10.1007/s00115-002-1321-4
Hess SG, Cox TS, Gonzales LC, Kastelic EA, Mink SP, Rose LE, Swartz KL. A survey of adolescents’ knowledge about depression. Arch Psychiatr Nurs. 2004;18(6):228–34.
pubmed: 15625662
doi: 10.1016/j.apnu.2004.09.005
Furnham A, Hamid A. Mental health literacy in non-western countries: a review of the recent literature. Ment Health Rev J. 2014;19(2):84–98.
doi: 10.1108/MHRJ-01-2013-0004
Kulwicka K, Gasiorowska A. Depression literacy and misconceptions scale (DepSter): a new two-factorial tool for measuring beliefs about depression. BMC Psychiatry. 2023;23(1):300.
pubmed: 37127570
pmcid: 10150464
doi: 10.1186/s12888-023-04796-8
Cuijpers P, Miguel C, Ciharova M, Harrer M, Moir F, Roskvist R, van Straten A, Karyotaki E, Arroll B. Psychological treatment of adult depression in primary care compared with outpatient mental health care: A meta-analysis. J Affect Disord. 2023;339:660–75.
pubmed: 37467801
doi: 10.1016/j.jad.2023.07.011
Wright MT, Kilian H, Block M, von Unger H, Brandes S, Ziesemer M, Gold C, Rosenbrock R. Participatory quality development: engaging community members in all phases of project planning and implementation. Gesundheitswesen. 2015;77(1):141–2.
Schilling I, Herbon C, Jilani H, Rathjen KI, Gerhardus A. Patient and public involvement in clinical research: An introduction. Z Evid Fortbild Qual Gesundhwes. 2020;155:56–63.
pubmed: 32798190
doi: 10.1016/j.zefq.2020.06.007
Becker R, Moser S, Glauser D. Cash vs. vouchers vs. gifts in web surveys of a mature panel study Main effects in a long-term incentives experiment across three panel waves. Soc Sci Res. 2019;81:221–34.
pubmed: 31130198
doi: 10.1016/j.ssresearch.2019.02.008
Batterham PJ, Han J, Calear AL, Anderson J, Christensen H. Suicide stigma and suicide literacy in a clinical sample. Suicide and Life-Threatening Behavior. 2019;49(4):1136–47.
pubmed: 30079479
doi: 10.1111/sltb.12496
Sukys S, Cesnaitiene VJ, Ossowsky ZM. Is health education at university associated with students’ health literacy? Evidence from cross-sectional study applying HLS-EU-Q. Biomed Res Int. 2017;2017:1–9.
doi: 10.1155/2017/8516843
Wiegand HF, Sievers C, Schillinger M, Godemann F. Major depression treatment in Germany-descriptive analysis of health insurance fund routine data and assessment of guideline-adherence. J Affect Disord. 2016;189:246–53.
pubmed: 26454184
doi: 10.1016/j.jad.2015.09.013