Results 51 to 60 of about 5,956,223 (150)

Item analysis of PHQ-9.

, 2016
Item analysis of PHQ-9.
Yu Yu (49054), Liang Zhou (85586), Shui-yuan Xiao (3179079), Hui-ming Liu (823568), Zi-wei Liu (3179082), Mi Hu (823567)   +5 more
core   +1 more source

Summary of PHQ-9 components.

, 2015
Summary of PHQ-9 components.
Parash Mani Bhandari (829355), Shiva Raj Mishra (522768), Kiran Thapa (829357), Abhishek Sharma (144862), Shristi Bhochhibhoya (829356)   +4 more
core   +1 more source

Utility and limitations of PHQ-9 in a clinic specializing in psychiatric care

BMC Psychiatry, 2012
Background The Patient Health Questionnaire-9 (PHQ-9), despite its excellent reliability and validity in primary care, has not been examined for administration to psychiatric patients.
Inoue Takeshi, Tanaka Teruaki, Nakagawa Shin, Nakato Yasuya, Kameyama Rie, Boku Shuken, Toda Hiroyuki, Kurita Tsugiko, Koyama Tsukasa   +8 more
doaj   +1 more source

PHQ-9 Survey.

Depressive disorders are leading contributors to morbidity in low- and middle-income countries and are particularly prevalent among people with non-communicable diseases (NCD).
Bradley N. Gaynes (8807315), Brian W. Pence (8807327), Jones Masiye (14311959), Chifundo C. Zimba (14311962), Harriet Akello (4015826), Jullita Kenala Malava (14808575), Kelsey R. Landrum (13839742), Josée M. Dussault (13155219), Mina C. Hosseinipour (8292558), Michael Udedi (5576921)   +9 more
core   +1 more source

An item response theory analysis of PHQ-9

Journal of Affective Disorders Reports
Background: The Patient Health Questionnaire-9 (PHQ-9) is widely used to assess depressive symptom severity in clinical practice and research and is recommended in several guidelines.
Mats Adler, Johan Skånberg, Ulf Brodin, Fabian Lenhard   +3 more
doaj   +1 more source

Depression screening in HIV-positive Tanzanian adults: comparing the PHQ-2, PHQ-9 and WHO-5 questionnaires

Cambridge Prisms: Global Mental Health, 2018
Background.HIV-positive individuals are at significantly increased risk of depression. In low- and middle-income countries, depression is frequently under-detected, hampered by a lack of data regarding available screening tools.
C. P. Nolan, P. J. M. O'Donnell, B. M. Desderius, M. Mzombwe, M. L. McNairy, R. N. Peck, J. R. Kingery   +6 more
doaj   +1 more source

Patient Health Questionnaire‐9 predicts the functional outcome of stroke patients in convalescent rehabilitation ward

Brain and Behavior, 2020
Introduction Poststroke depression (PSD) negatively affects the functional outcome of stroke patients. Patient Health Questionnaire‐9 (PHQ‐9) is a validated screening tool for detecting PSD.
Masahiro Nakamori, Eiji Imamura, Keisuke Tachiyama, Teppei Kamimura, Yuki Hayashi, Hayato Matsushima, Hiroyuki Okamoto, Tatsuya Mizoue, Shinichi Wakabayashi   +8 more
doaj   +1 more source

Replicability of the PHQ-9 results at t1 and t2 alone compared to the stability of the PHQ-9 results in the PHQ-9 and GP rating concordant vs. discordant subgroup at t1.

, 2022
Replicability of the PHQ-9 results at t1 and t2 alone compared to the stability of the PHQ-9 results in the PHQ-9 and GP rating concordant vs. discordant subgroup at t1.
Gabriele Pitschel-Walz (13994205), Alexander Hapfelmeier (137719), Victoria von Schrottenberg (13994199), Clara Teusen (13994196), Peter Henningsen (326803), Jochen Gensichen (35006), Antonius Schneider (546189), Feyza Gökce (13994202)   +7 more
core   +1 more source

PHQ-9 scores at baseline, three months, six months, and 12 months.

PHQ-9 scores at baseline, three months, six months, and 12 months.
Bradley N. Gaynes (8807315), Brian W. Pence (8807327), Jones Masiye (14311959), Chifundo C. Zimba (14311962), Harriet Akello (4015826), Jullita Kenala Malava (14808575), Kelsey R. Landrum (13839742), Josée M. Dussault (13155219), Mina C. Hosseinipour (8292558), Michael Udedi (5576921)   +9 more
core   +1 more source

PHQ-9 error analysis.

, 2023
Top three figures (left-to-right) show the symptom trajectories for each of the errors, along with the mean trajectory, in bold. Bottom three figures (left-to-right) show the distribution of final changes in overall symptom score across the errors ...
Usman Munir (17457911), Isabel Chien (5981987), Derek Richards (4222393), Angel Enrique (8271027), Niranjani Prasad (17457905), Tim Regan (699111), Danielle Belgrave (5116886), Aditya Nori (17457920), Gavin Doherty (10291446), Jorge Palacios (15251494), Dessie Keegan (17457908), Ryutaro Tanno (17457914), Hannah Richardson (17457917), Anja Thieme (6908996)   +13 more
core   +1 more source