Abstract
Administration mode of patient-reported outcome measures (PROMs) may influence responses. We assessed if Patient Health Questionnaire-9 (PHQ-9), Edinburgh Postnatal Depression Scale (EPDS) and Hospital Anxiety and Depression Scale – Depression subscale (HADS-D) item responses and scores were associated with administration mode. We compared (1) self-administration versus interview-administration; within self-administration (2) research or medical setting versus private; and (3) pen-and-paper versus electronic; and within interview-administration (4) in-person versus phone. We analysed individual participant data meta-analysis datasets with item-level data for the PHQ-9 (N = 34,529), EPDS (N = 16,813), and HADS-D (N = 16,768). We used multiple indicator multiple cause models to assess differential item functioning (DIF) by administration mode. We found statistically significant DIF for most items on all measures due to large samples, but influence on total scores was negligible. In 10 comparisons conducted across the PHQ-9, EPDS, and HADS-D, Pearson's correlations and intraclass correlation coefficients between latent depression symptom scores from models that did or did not account for DIF were between 0.995 and 1.000. Total PHQ-9, EPDS, and HADS-D scores did not differ materially across administration modes. Researcher and clinicians who evaluate depression symptoms with these questionnaires can select administration methods based on patient preferences, feasibility, or cost.
Original language | English |
---|---|
Pages (from-to) | 674-683 |
Number of pages | 10 |
Journal | Journal of Affective Disorders |
Volume | 361 |
DOIs | |
Publication status | Published - 15 Sept 2024 |
Keywords
- depression
- EPDS
- HADS
- mode of administration
- PHQ-9
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In: Journal of Affective Disorders, Vol. 361, 15.09.2024, p. 674-683.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Comparison of Patient Health Questionnaire-9, Edinburgh Postnatal Depression Scale and Hospital Anxiety and Depression – depression subscale scores by administration mode
T2 - an individual participant data differential item functioning meta-analysis
AU - Harel, Daphna
AU - Wu, Yin
AU - Levis, Brooke
AU - Fan, Suiqiong
AU - Sun, Ying
AU - Xu, Mingyao
AU - Rice, Danielle B.
AU - Boruff, Jill
AU - Markham, Sarah
AU - Ioannidis, John P. A.
AU - Takwoingi, Yemisi
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AU - Ziegelstein, Roy C.
AU - Cuijpers, Pim
AU - Gilbody, Simon
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AU - DEPRESsion Screening Data (DEPRESSD) Collaboration
AU - Azar, Marleine
AU - Bhandari, Parash Mani
AU - Chiovitti, Matthew J.
AU - He, Chen
AU - Imran, Mahrukh
AU - Krishnan, Ankur
AU - Negeri, Zelalem
AU - Neupane, Dipika
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AU - Yan, Xin Wei
AU - Kloda, Lorie A.
AU - Henry, Melissa
AU - Ismail, Zahinoor
AU - Loiselle, Carmen G.
AU - Mitchell, Nicholas D.
AU - Al-Adawi, Samir
AU - Alvarado, Rubén
AU - Amtmann, Dagmar
AU - Arroll, Bruce
AU - Ayalon, Liat
AU - Baradaran, Hamid R.
AU - Barnes, Jacqueline
AU - Beck, Kevin R.
AU - Beck, Cheryl Tatano
AU - Bernstein, Charles N.
AU - Bindt, Carola
AU - Bombardier, Charles H.
AU - Boye, Birgitte
AU - Büel-Drabe, Natalie
AU - Buji, Ryna Imma
AU - Bunevicius, Adomas
AU - Butterworth, Peter
AU - Can, Ceyhun
AU - Carter, Gregory
AU - Chagas, Marcos H.
AU - Chan, Juliana C. N.
AU - Chan, Lai Fong
AU - Chen, Chih-Ken
AU - Chibanda, Dixon
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AU - Clover, Kerrie
AU - Conroy, Ronán M.
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AU - Conwell, Yeates
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AU - Gibson, Lorna J.
AU - Goodyear-Smith, Felicity
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AU - Lara, María Asunción
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AU - Radoš, Sandra Nakić
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AU - Pence, Brian W.
AU - Persoons, Philippe
AU - Petersen, Inge
AU - Picardi, Angelo
AU - Ponsford, Jennie L.
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AU - Pulido, Federico
AU - Quinn, Terence J.
AU - Quispel, Chantal
AU - Rathod, Sujit D.
AU - Reme, Silje E.
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AU - Riedel-Heller, Steffi G.
AU - Rooney, Alasdair G.
AU - Santos, Iná S.
AU - Saracino, Rebecca M.
AU - Schellekens, Melanie P. J.
AU - Schwarzbold, Marcelo L.
AU - Cankorur, Vesile Senturk
AU - Shaaban, Juwita
AU - Sharp, Deborah J.
AU - Sharpe, Louise
AU - Shinn, Eileen H.
AU - Sidebottom, Abbey
AU - Simard, Sébastien
AU - Singer, Susanne
AU - Skalkidou, Alkistis
AU - Smith-Nielsen, Johanne
AU - Spangenberg, Lena
AU - Stafford, Lesley
AU - Stein, Alan
AU - Stewart, Robert C.
AU - Strobel, Natalie A.
AU - Su, Kuan Pin
AU - Sultan, Serge
AU - Sundström-Poromaa, Inger
AU - Sung, Sharon C.
AU - Suzuki, Keiko
AU - Tadinac, Meri
AU - Tan, Pei Lin Lynnette
AU - Tandon, S. Darius
AU - Taylor-Rowan, Martin
AU - Teixeira, Antonio L.
AU - Tendais, Iva
AU - Tiringer, Istvan
AU - Töreki, Annamária
AU - Tran, Thach D.
AU - Trevillion, Kylee
AU - Tschorn, Mira
AU - Turner, Alyna
AU - Væver, Mette S.
AU - van der Feltz-Cornelis, Christina M.
AU - van Heyningen, Thandi
AU - Vega-Dienstmaier, Johann M.
AU - Wagner, Michael
AU - Wagner, Lynne I.
AU - Wang, Liang Jen
AU - Wang, Jian Li
AU - Watson, David
AU - Weyerer, Siegfried B.
AU - White, Jennifer
AU - Whooley, Mary A.
AU - Wiese, Birgitt
AU - Williams, Lana J.
AU - Winkley, Kirsty
AU - Wynter, Karen
AU - Yamada, Mitsuhiko
AU - Yonkers, Kimberly A.
AU - Zeng, Qing Zhi
AU - Zhang, Yuying
PY - 2024/9/15
Y1 - 2024/9/15
N2 - Administration mode of patient-reported outcome measures (PROMs) may influence responses. We assessed if Patient Health Questionnaire-9 (PHQ-9), Edinburgh Postnatal Depression Scale (EPDS) and Hospital Anxiety and Depression Scale – Depression subscale (HADS-D) item responses and scores were associated with administration mode. We compared (1) self-administration versus interview-administration; within self-administration (2) research or medical setting versus private; and (3) pen-and-paper versus electronic; and within interview-administration (4) in-person versus phone. We analysed individual participant data meta-analysis datasets with item-level data for the PHQ-9 (N = 34,529), EPDS (N = 16,813), and HADS-D (N = 16,768). We used multiple indicator multiple cause models to assess differential item functioning (DIF) by administration mode. We found statistically significant DIF for most items on all measures due to large samples, but influence on total scores was negligible. In 10 comparisons conducted across the PHQ-9, EPDS, and HADS-D, Pearson's correlations and intraclass correlation coefficients between latent depression symptom scores from models that did or did not account for DIF were between 0.995 and 1.000. Total PHQ-9, EPDS, and HADS-D scores did not differ materially across administration modes. Researcher and clinicians who evaluate depression symptoms with these questionnaires can select administration methods based on patient preferences, feasibility, or cost.
AB - Administration mode of patient-reported outcome measures (PROMs) may influence responses. We assessed if Patient Health Questionnaire-9 (PHQ-9), Edinburgh Postnatal Depression Scale (EPDS) and Hospital Anxiety and Depression Scale – Depression subscale (HADS-D) item responses and scores were associated with administration mode. We compared (1) self-administration versus interview-administration; within self-administration (2) research or medical setting versus private; and (3) pen-and-paper versus electronic; and within interview-administration (4) in-person versus phone. We analysed individual participant data meta-analysis datasets with item-level data for the PHQ-9 (N = 34,529), EPDS (N = 16,813), and HADS-D (N = 16,768). We used multiple indicator multiple cause models to assess differential item functioning (DIF) by administration mode. We found statistically significant DIF for most items on all measures due to large samples, but influence on total scores was negligible. In 10 comparisons conducted across the PHQ-9, EPDS, and HADS-D, Pearson's correlations and intraclass correlation coefficients between latent depression symptom scores from models that did or did not account for DIF were between 0.995 and 1.000. Total PHQ-9, EPDS, and HADS-D scores did not differ materially across administration modes. Researcher and clinicians who evaluate depression symptoms with these questionnaires can select administration methods based on patient preferences, feasibility, or cost.
KW - depression
KW - EPDS
KW - HADS
KW - mode of administration
KW - PHQ-9
UR - http://www.scopus.com/inward/record.url?scp=85197374254&partnerID=8YFLogxK
U2 - 10.1016/j.jad.2024.06.033
DO - 10.1016/j.jad.2024.06.033
M3 - Article
C2 - 38908554
AN - SCOPUS:85197374254
SN - 0165-0327
VL - 361
SP - 674
EP - 683
JO - Journal of Affective Disorders
JF - Journal of Affective Disorders
ER -