Differences in Center for Epidemiologic Studies Depression Scale, Generalized Anxiety Disorder-7 and Kessler Screening Scale for Psychological Distress Scores between Smartphone Version versus Paper Version Administration: Evidence of Equivalence
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Participants and Procedure
2.3. Randomization
2.4. Sample Size
2.5. Measures
2.5.1. CES-D
2.5.2. GAD-7
2.5.3. K6
2.6. Software
2.7. Statistical Analysis
3. Results
3.1. Characteristics of the Study Participants
3.2. Mean and LMM Results
3.3. Equivalence
3.4. Internal Consistency
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Snyder, C.F.; Aaronson, N.K.; Choucair, A.K.; Elliott, T.E.; Greenhalgh, J.; Halyard, M.Y.; Hess, R.; Miller, D.M.; Reeve, B.B.; Santana, M. Implementing patient-reported outcomes assessment in clinical practice: A review of the options and considerations. Qual. Life Res. 2012, 21, 1305–1314. [Google Scholar] [CrossRef] [PubMed]
- Basch, E.; Barbera, L.; Kerrigan, C.L.; Velikova, G. Implementation of Patient-Reported Outcomes in Routine Medical Care. Am. Soc. Clin. Oncol. Educ. Book 2018, 38, 122–134. [Google Scholar] [CrossRef] [PubMed]
- Valderas, J.M.; Kotzeva, A.; Espallargues, M.; Guyatt, G.; Ferrans, C.E.; Halyard, M.Y.; Revicki, D.A.; Symonds, T.; Parada, A.; Alonso, J. The impact of measuring patient-reported outcomes in clinical practice: A systematic review of the literature. Qual. Life Res. 2008, 17, 179–193. [Google Scholar] [CrossRef] [PubMed]
- Churruca, K.; Pomare, C.; Ellis, L.A.; Long, J.C.; Henderson, S.B.; Murphy, L.E.D.; Leahy, C.J.; Braithwaite, J. Patient-reported outcome measures (PROMs): A review of generic and condition-specific measures and a discussion of trends and issues. Health Expect. 2021, 24, 1015–1024. [Google Scholar] [CrossRef]
- Duffy, F.F.; Chung, H.; Trivedi, M.; Rae, D.S.; Regier, D.A.; Katzelnick, D.J. Systematic use of patient-rated depression severity monitoring: Is it helpful and feasible in clinical psychiatry? Psychiatr. Serv. 2008, 59, 1148–1154. [Google Scholar] [CrossRef]
- Kessler, R.C.; Berglund, P.; Demler, O.; Jin, R.; Merikangas, K.R.; Walters, E.E. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch. Gen. Psychiatry 2005, 62, 593–602. [Google Scholar] [CrossRef] [Green Version]
- Guest, R.; Tran, Y.; Gopinath, B.; Cameron, I.D.; Craig, A. Psychological distress following a motor vehicle crash: A systematic review of preventative interventions. Injury 2016, 47, 2415–2423. [Google Scholar] [CrossRef]
- Tiller, J.W. Depression and anxiety. Med. J. Aust. 2013, 199, S28–S31. [Google Scholar] [CrossRef]
- Bot, M.; Pouwer, F.; Ormel, J.; Slaets, J.P.; de Jonge, P. Predictors of incident major depression in diabetic outpatients with subthreshold depression. Diabet. Med. J. Br. Diabet. Assoc. 2010, 27, 1295–1301. [Google Scholar] [CrossRef] [Green Version]
- Sakurai, K.; Nishi, A.; Kondo, K.; Yanagida, K.; Kawakami, N. Screening performance of K6/K10 and other screening instruments for mood and anxiety disorders in Japan. Psychiatry Clin. Neurosci. 2011, 65, 434–441. [Google Scholar] [CrossRef]
- Nishi, D.; Imamura, K.; Watanabe, K.; Ishikawa, H.; Tachimori, H.; Takeshima, T.; Kawakami, N. Psychological distress with and without a history of depression: Results from the World Mental Health Japan 2nd Survey (WMHJ2). J. Affect. Disord. 2020, 265, 545–551. [Google Scholar] [CrossRef]
- Nishi, D.; Susukida, R.; Usuda, K.; Mojtabai, R.; Yamanouchi, Y. Trends in the prevalence of psychological distress and the use of mental health services from 2007 to 2016 in Japan. J. Affect. Disord. 2018, 239, 208–213. [Google Scholar] [CrossRef]
- Shima, S.; Shikano, T.; Kitamura, T.; Asai, M. New self-rating scale for depression. Seishin Igaku (Clin. Psychiatry) 1985, 27, 717–723. [Google Scholar]
- Radloff, L.S. The CES-D scale: A self-report depression scale for research in the general population. J. Appl. Psychol. Meas. 1977, 1, 385–401. [Google Scholar] [CrossRef]
- Muramatsu, K.; Miyaoka, H.; Kamijima, K.; Muramatsu, Y.; Fuse, K.; Yoshimine, F.; Hosaka, M.; Kutsumi, R.; Majima, I.; Katagiri, A.; et al. Examination of the validity and the utility of the Japanese version of the GAD-7. Jpn. J. Psychosom. Med. 2010, 50, 166. [Google Scholar]
- Spitzer, R.L.; Kroenke, K.; Williams, J.B.; Löwe, B. A brief measure for assessing generalized anxiety disorder: The GAD-7. Arch. Intern. Med. 2006, 166, 1092–1097. [Google Scholar] [CrossRef] [Green Version]
- Furukawa, T.A.; Kawakami, N.; Saitoh, M.; Ono, Y.; Nakane, Y.; Nakamura, Y.; Tachimori, H.; Iwata, N.; Uda, H.; Nakane, H.; et al. The performance of the Japanese version of the K6 and K10 in the World Mental Health Survey Japan. Int. J. Methods Psychiatr. Res. 2008, 17, 152–158. [Google Scholar] [CrossRef]
- Kessler, R.C.; Andrews, G.; Colpe, L.J.; Hiripi, E.; Mroczek, D.K.; Normand, S.L.; Walters, E.E.; Zaslavsky, A.M. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol. Med. 2002, 32, 959–976. [Google Scholar] [CrossRef]
- Mitchell, C.M.; Beals, J. The utility of the Kessler Screening Scale for Psychological Distress (K6) in two American Indian communities. Psychol. Assess 2011, 23, 752–761. [Google Scholar] [CrossRef] [Green Version]
- Plummer, F.; Manea, L.; Trepel, D.; McMillan, D. Screening for anxiety disorders with the GAD-7 and GAD-2: A systematic review and diagnostic metaanalysis. Gen. Hosp. Psychiatry 2016, 39, 24–31. [Google Scholar] [CrossRef]
- Mossman, S.A.; Luft, M.J.; Schroeder, H.K.; Varney, S.T.; Fleck, D.E.; Barzman, D.H.; Gilman, R.; DelBello, M.P.; Strawn, J.R. The Generalized Anxiety Disorder 7-item scale in adolescents with generalized anxiety disorder: Signal detection and validation. Ann. Clin. Psychiatry 2017, 29, 227–234a. [Google Scholar] [PubMed]
- Sousa, T.V.; Viveiros, V.; Chai, M.V.; Vicente, F.L.; Jesus, G.; Carnot, M.J.; Gordo, A.C.; Ferreira, P.L. Reliability and validity of the Portuguese version of the Generalized Anxiety Disorder (GAD-7) scale. Health Qual. Life Outcomes 2015, 13, 50. [Google Scholar] [CrossRef] [Green Version]
- Sawaya, H.; Atoui, M.; Hamadeh, A.; Zeinoun, P.; Nahas, Z. Adaptation and initial validation of the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder-7 Questionnaire (GAD-7) in an Arabic speaking Lebanese psychiatric outpatient sample. Psychiatry Res. 2016, 239, 245–252. [Google Scholar] [CrossRef] [PubMed]
- Löwe, B.; Decker, O.; Müller, S.; Brähler, E.; Schellberg, D.; Herzog, W.; Herzberg, P.Y. Validation and standardization of the Generalized Anxiety Disorder Screener (GAD-7) in the general population. Med. Care 2008, 46, 266–274. [Google Scholar] [CrossRef] [PubMed]
- Kroenke, K.; Spitzer, R.L.; Williams, J.B.; Monahan, P.O.; Löwe, B. Anxiety disorders in primary care: Prevalence, impairment, comorbidity, and detection. Ann. Intern. Med. 2007, 146, 317–325. [Google Scholar] [CrossRef]
- Nishi, A.; Noguchi, H.; Hashimoto, H.; Tamiya, N. Scale development of health status for secondary data analysis using a nationally representative survey. Environ. Health Prev. Med. 2012, 17, 252–257. [Google Scholar] [CrossRef] [Green Version]
- Hajebi, A.; Motevalian, A.; Amin-Esmaeili, M.; Rahimi-Movaghar, A.; Sharifi, V.; Hoseini, L.; Shadloo, B.; Mojtabai, R. Adaptation and validation of short scales for assessment of psychological distress in Iran: The Persian K10 and K6. Int. J. Methods Psychiatr. Res. 2018, 27, e1726. [Google Scholar] [CrossRef] [Green Version]
- Thombs, B.D.; Hudson, M.; Schieir, O.; Taillefer, S.S.; Baron, M. Reliability and validity of the center for epidemiologic studies depression scale in patients with systemic sclerosis. Arthritis Rheum. 2008, 59, 438–443. [Google Scholar] [CrossRef]
- Ohno, S.; Takahashi, K.; Inoue, A.; Takada, K.; Ishihara, Y.; Tanigawa, M.; Hirao, K. Smallest detectable change and test-retest reliability of a self-reported outcome measure: Results of the Center for Epidemiologic Studies Depression Scale, General Self-Efficacy Scale, and 12-item General Health Questionnaire. J. Eval. Clin. Pract. 2017, 23, 1348–1354. [Google Scholar] [CrossRef]
- Muramatsu, K.; Muramatsu, Y.; Miyaoka, H.; Fuse, K.; Yoshimine, F.; Hosaka, M.; Katagiri, A.; Kutsumi, R. Validation and utility of a Japanese version of the GAD-7. Panminerva Med. 20th World Congr. Psychosom. Med. Abstr. Book 2009, 51 (Suppl. 1). [Google Scholar]
- Park, S.H.; Yu, H.Y. How useful is the center for epidemiologic studies depression scale in screening for depression in adults? An updated systematic review and meta-analysis. Psychiatry Res. 2021, 302, 114037. [Google Scholar] [CrossRef]
- Park, S.H.; Lee, H. Is the center for epidemiologic studies depression scale as useful as the geriatric depression scale in screening for late-life depression? A systematic review. J. Affect. Disord. 2021, 292, 454–463. [Google Scholar] [CrossRef]
- Donker, T.; van Straten, A.; Marks, I.; Cuijpers, P. Quick and easy self-rating of Generalized Anxiety Disorder: Validity of the Dutch web-based GAD-7, GAD-2 and GAD-SI. Psychiatry Res. 2011, 188, 58–64. [Google Scholar] [CrossRef]
- Kim, S.H.; Park, K.; Yoon, S.; Choi, Y.; Lee, S.H.; Choi, K.H. A Brief Online and Offline (Paper-and-Pencil) Screening Tool for Generalized Anxiety Disorder: The Final Phase in the Development and Validation of the Mental Health Screening Tool for Anxiety Disorders (MHS: A). Front. Psychol. 2021, 12, 639366. [Google Scholar] [CrossRef]
- Sekizaki, R.; Nemoto, T.; Tsujino, N.; Takano, C.; Yoshida, C.; Yamaguchi, T.; Katagiri, N.; Ono, Y.; Mizuno, M. School mental healthcare services using internet-based cognitive behaviour therapy for young male athletes in Japan. Early Interv. Psychiatry 2019, 13, 79–85. [Google Scholar] [CrossRef] [Green Version]
- Nishi, D.; Imamura, K.; Watanabe, K.; Obikane, E.; Sasaki, N.; Yasuma, N.; Sekiya, Y.; Matsuyama, Y.; Kawakami, N. The preventive effect of internet-based cognitive behavioral therapy for prevention of depression during pregnancy and in the postpartum period (iPDP): A large scale randomized controlled trial. Psychiatry Clin. Neurosci. 2022, 76, 570–578. [Google Scholar] [CrossRef]
- Kageyama, K.; Kato, Y.; Mesaki, T.; Uchida, H.; Takahashi, K.; Marume, R.; Sejima, Y.; Hirao, K. Effects of video viewing smartphone application intervention involving positive word stimulation in people with subthreshold depression: A pilot randomized controlled trial. J. Affect. Disord. 2021, 282, 74–81. [Google Scholar] [CrossRef]
- van Ballegooijen, W.; Riper, H.; Cuijpers, P.; van Oppen, P.; Smit, J.H. Validation of online psychometric instruments for common mental health disorders: A systematic review. BMC Psychiatry 2016, 16, 45. [Google Scholar] [CrossRef] [Green Version]
- Aiyegbusi, O.L. Key methodological considerations for usability testing of electronic patient-reported outcome (ePRO) systems. Qual. Life Res. 2020, 29, 325–333. [Google Scholar] [CrossRef] [Green Version]
- Marsh, J.D.; Bryant, D.M.; Macdonald, S.J.; Naudie, D.D. Patients respond similarly to paper and electronic versions of the WOMAC and SF-12 following total joint arthroplasty. J. Arthroplast. 2014, 29, 670–673. [Google Scholar] [CrossRef]
- Lee, S.J.; Kavanaugh, A.; Lenert, L. Electronic and computer-generated patient questionnaires in standard care. Best Pract. Res. Clin. Rheumatol. 2007, 21, 637–647. [Google Scholar] [CrossRef] [PubMed]
- Coons, S.J.; Gwaltney, C.J.; Hays, R.D.; Lundy, J.J.; Sloan, J.A.; Revicki, D.A.; Lenderking, W.R.; Cella, D.; Basch, E. Recommendations on evidence needed to support measurement equivalence between electronic and paper-based patient-reported outcome (PRO) measures: ISPOR ePRO Good Research Practices Task Force report. Value Health 2009, 12, 419–429. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Davis, R.N. Web-based administration of a personality questionnaire: Comparison with traditional methods. Behav. Res. Methods Instrum. Comput. 1999, 31, 572–577. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Buchanan, T. Online assessment: Desirable or dangerous? Prof. Psychol. Res. Pract. 2002, 33, 148. [Google Scholar] [CrossRef]
- Ali, F.M.; Johns, N.; Finlay, A.Y.; Salek, M.S.; Piguet, V. Comparison of the paper-based and electronic versions of the Dermatology Life Quality Index: Evidence of equivalence. Br. J. Dermatol. 2017, 177, 1306–1315. [Google Scholar] [CrossRef]
- Campbell, N.; Ali, F.; Finlay, A.Y.; Salek, S.S. Equivalence of electronic and paper-based patient-reported outcome measures. Qual. Life Res. 2015, 24, 1949–1961. [Google Scholar] [CrossRef]
- Fritz, F.; Balhorn, S.; Riek, M.; Breil, B.; Dugas, M. Qualitative and quantitative evaluation of EHR-integrated mobile patient questionnaires regarding usability and cost-efficiency. Int. J. Med. Inform. 2012, 81, 303–313. [Google Scholar] [CrossRef]
- Bushnell, D.M.; Martin, M.L.; Parasuraman, B. Electronic versus paper questionnaires: A further comparison in persons with asthma. J. Asthma 2003, 40, 751–762. [Google Scholar] [CrossRef]
- Boettcher, J.; Magnusson, K.; Marklund, A.; Berglund, E.; Blomdahl, R.; Braun, U.; Delin, L.; Lundén, C.; Sjöblom, K.; Sommer, D.; et al. Adding a smartphone app to internet-based self-help for social anxiety: A randomized controlled trial. Comput. Hum. Behav. 2018, 87, 98–108. [Google Scholar] [CrossRef]
- Bush, N.E.; Skopp, N.; Smolenski, D.; Crumpton, R.; Fairall, J. Behavioral screening measures delivered with a smartphone app: Psychometric properties and user preference. J. Nerv. Ment. Dis. 2013, 201, 991–995. [Google Scholar] [CrossRef] [Green Version]
- Zhen, L.; Wang, G.; Xu, G.; Xiao, L.; Feng, L.; Chen, X.; Liu, M.; Zhu, X. Evaluation of the Paper and Smartphone Versions of the Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR16) and the Patient Health Questionnaire-9 (PHQ-9) in Depressed Patients in China. Neuropsychiatr. Dis. Treat. 2020, 16, 993–1001. [Google Scholar] [CrossRef] [Green Version]
- Azevedo, B.R.; Oliveira, C.B.; Araujo, G.M.D.; Silva, F.G.; Damato, T.M.; Pinto, R.Z.; Christofaro, D.G.D. Is There Equivalence Between the Electronic and Paper Version of the Questionnaires for Assessment of Patients with Chronic Low Back Pain? Spine 2020, 45, E329–E335. [Google Scholar] [CrossRef]
- Yu, S.C.; Yu, M.N. Comparison of Internet-based and paper-based questionnaires in Taiwan using multisample invariance approach. Cyberpsychol. Behav. 2007, 10, 501–507. [Google Scholar] [CrossRef]
- Meirte, J.; Hellemans, N.; Anthonissen, M.; Denteneer, L.; Maertens, K.; Moortgat, P.; Van Daele, U. Benefits and Disadvantages of Electronic Patient-reported Outcome Measures: Systematic Review. JMIR Perioper Med. 2020, 3, e15588. [Google Scholar] [CrossRef] [Green Version]
- Walter, S.D.; Eliasziw, M.; Donner, A. Sample size and optimal designs for reliability studies. Stat. Med. 1998, 17, 101–110. [Google Scholar] [CrossRef]
- De Vet, H.C.; Terwee, C.B.; Mokkink, L.B.; Knol, D.L. Measurement in Medicine: A Practical Guide; Cambridge University Press: Cambridge, UK, 2011. [Google Scholar]
- Shima, S.; Kitagawa, Y.; Kitamura, T.; Fujinawa, A.; Watanabe, Y. Poststroke depression. Gen. Hosp. Psychiatry 1994, 16, 286–289. [Google Scholar] [CrossRef]
- Storheim, K.; Brox, J.I.; Løchting, I.; Werner, E.L.; Grotle, M. Cross-cultural adaptation and validation of the Norwegian version of the Core Outcome Measures Index for low back pain. Eur. Spine J 2012, 21, 2539–2549. [Google Scholar] [CrossRef] [Green Version]
- Terwee, C.B.; Bot, S.D.; de Boer, M.R.; van der Windt, D.A.; Knol, D.L.; Dekker, J.; Bouter, L.M.; de Vet, H.C. Quality criteria were proposed for measurement properties of health status questionnaires. J. Clin. Epidemiol. 2007, 60, 34–42. [Google Scholar] [CrossRef] [Green Version]
- Dunn, T.J.; Baguley, T.; Brunsden, V. From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. Br. J. Psychol. 2014, 105, 399–412. [Google Scholar] [CrossRef] [Green Version]
- Gueorguieva, R.; Krystal, J.H. Move over ANOVA: Progress in analyzing repeated-measures data and its reflection in papers published in the Archives of General Psychiatry. Arch. Gen. Psychiatry 2004, 61, 310–317. [Google Scholar] [CrossRef]
- Koo, T.K.; Li, M.Y. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. J. Chiropr. Med. 2016, 15, 155–163. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Qin, S.; Nelson, L.; McLeod, L.; Eremenco, S.; Coons, S.J. Assessing test-retest reliability of patient-reported outcome measures using intraclass correlation coefficients: Recommendations for selecting and documenting the analytical formula. Qual. Life Res. 2019, 28, 1029–1033. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ogles, B.M.; France, C.R.; Lunnen, K.M.; Bell, M.T.; Goldfarb, M. Computerized depression screening and awareness. Community Ment. Health J. 1998, 34, 27–38. [Google Scholar] [CrossRef] [PubMed]
- Quadri, N.; Wild, D.; Skerritt, B.; Muehlhausen, W.; O’Donohoe, P. A literature review of the variance in interval length between administrations for assessment of test retest reliability and equivalence of pro measures. Value Health 2013, 16, A40–A41. [Google Scholar] [CrossRef] [Green Version]
- Buchanan, T.; Smith, J.L. Using the Internet for psychological research: Personality testing on the World Wide Web. Br. J. Psychol. 1999, 90 Pt 1, 125–144. [Google Scholar] [CrossRef]
Total (n = 100) | Paper First (n = 50) | Smartphone First (n = 50) | |
---|---|---|---|
Characteristics | |||
Age (years) | 19.86 (1.08) | 19.88 (1.02) | 19.84 (1.15) |
Sex | |||
Male | 23 (23%) | 7 (14%) | 16 (32%) |
Female | 77 (77%) | 43 (86%) | 34 (68%) |
Drinker | |||
Yes | 9 (9%) | 5 (10%) | 4 (8%) |
No | 91 (91%) | 45 (90%) | 46 (92%) |
Smoker | |||
Yes | 1 (1%) | 0 (0%) | 1 (2%) |
No | 99 (99%) | 50 (100%) | 49 (98%) |
Exercise habits | |||
Presence | 37 (37%) | 15 (30%) | 22 (44%) |
Absence | 63 (63%) | 35 (70%) | 28 (56%) |
Total (n = 100) | Paper First (n = 50) | Smartphone First (n = 50) | LMM | ||||
---|---|---|---|---|---|---|---|
Outcomes | Mean (SD) | Mean (SD) | Mean (SD) | Effect | Estimate | p | 95% CI |
CES-D | |||||||
Paper | 11.07 (6.34) | 10.92 (5.42) | 11.22 (7.20) | Format | −0.44 | 0.49 | −1.68 to 0.80 |
Smartphone | 11.05 (6.50) | 10.48 (6.18) | 11.62 (6.82) | Order | 0.7 | 0.59 | −1.82 to 3.22 |
Interaction | 0.04 | 0.96 | −1.71 to 1.79 | ||||
GAD-7 | |||||||
Paper | 2.19 (2.66) | 1.88 (2.18) | 2.50 (3.06) | Format | 0.36 | 0.22 | −0.21 to 0.93 |
Smartphone | 2.20 (2.49) | 2.24 (2.70) | 2.16 (2.35) | Order | 0.28 | 0.59 | −0.73 to 1.29 |
Interaction | −0.02 | 0.96 | −0.82 to 0.78 | ||||
K6 | |||||||
Paper | 2.40 (3.09) | 2.38 (3.10) | 2.42 (3.12) | Format | 0.36 | 0.279 | −0.19 to 0.91 |
Smartphone | 2.67 (3.55) | 2.74 (3.65) | 2.60 (3.49) | Order | 0.22 | 0.74 | −1.09 to 1.53 |
Interaction | −0.54 | 0.17 | −1.31 to 0.23 |
Outcomes | ICCagreement | 95% CI |
---|---|---|
CES-D | 0.76 | 0.66–0.83 |
GAD-7 | 0.68 | 0.59–0.77 |
K6 | 0.83 | 0.75–0.88 |
Outcomes | Cronbach’s Alpha | 95% CI | McDonald’s Omega | 95% CI |
---|---|---|---|---|
CES-D | ||||
Paper | 0.81 | 0.75–0.86 | 0.81 | 0.74–0.86 |
Smartphone | 0.82 | 0.77–0.87 | 0.83 | 0.75–0.87 |
GAD-7 | ||||
Paper | 0.80 | 0.75–0.86 | 0.84 | 0.72–0.91 |
Smartphone | 0.80 | 0.75–0.86 | 0.83 | 0.76–0.87 |
K6 | ||||
Paper | 0.82 | 0.77–0.88 | 0.83 | 0.76–0.88 |
Smartphone | 0.88 | 0.84–0.92 | 0.87 | 0.84–0.92 |
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Hirao, K.; Takahashi, H.; Kuroda, N.; Uchida, H.; Tsuchiya, K.; Kikuchi, S. Differences in Center for Epidemiologic Studies Depression Scale, Generalized Anxiety Disorder-7 and Kessler Screening Scale for Psychological Distress Scores between Smartphone Version versus Paper Version Administration: Evidence of Equivalence. Int. J. Environ. Res. Public Health 2023, 20, 4773. https://doi.org/10.3390/ijerph20064773
Hirao K, Takahashi H, Kuroda N, Uchida H, Tsuchiya K, Kikuchi S. Differences in Center for Epidemiologic Studies Depression Scale, Generalized Anxiety Disorder-7 and Kessler Screening Scale for Psychological Distress Scores between Smartphone Version versus Paper Version Administration: Evidence of Equivalence. International Journal of Environmental Research and Public Health. 2023; 20(6):4773. https://doi.org/10.3390/ijerph20064773
Chicago/Turabian StyleHirao, Kazuki, Hyono Takahashi, Natsuki Kuroda, Hiroyuki Uchida, Kenji Tsuchiya, and Senichiro Kikuchi. 2023. "Differences in Center for Epidemiologic Studies Depression Scale, Generalized Anxiety Disorder-7 and Kessler Screening Scale for Psychological Distress Scores between Smartphone Version versus Paper Version Administration: Evidence of Equivalence" International Journal of Environmental Research and Public Health 20, no. 6: 4773. https://doi.org/10.3390/ijerph20064773
APA StyleHirao, K., Takahashi, H., Kuroda, N., Uchida, H., Tsuchiya, K., & Kikuchi, S. (2023). Differences in Center for Epidemiologic Studies Depression Scale, Generalized Anxiety Disorder-7 and Kessler Screening Scale for Psychological Distress Scores between Smartphone Version versus Paper Version Administration: Evidence of Equivalence. International Journal of Environmental Research and Public Health, 20(6), 4773. https://doi.org/10.3390/ijerph20064773