Development and Psychometric Evaluation of a Questionnaire to Measure Attitudes Toward Perinatal Depression and Acceptability of Screening: The PND Attitudes and Screening Acceptability Questionnaire (PASAQ)

Eval Health Prof. 2019 Dec;42(4):498-522. doi: 10.1177/0163278718801434. Epub 2018 Sep 28.

Abstract

Prior to implementing perinatal depression (PND) screening, health-care professionals' acceptability of screening and their attitudes toward PND should be explored. We aimed to develop and psychometrically evaluate a questionnaire measuring PND attitudes and screening acceptability. A 31-item questionnaire was developed based on published questionnaires and a systematic review on PND screening acceptability. Principal components analysis with direct oblimin rotation was used to determine construct validity. Reliability of the resulting components was explored using Cronbach's α. Pharmacists (N = 153) were recruited from the Australian Association of Consultant Pharmacy. The scree plot and parallel analysis indicated a six-component solution. Due to cross-loadings (<.2 difference) and low loadings (<.445), it was necessary to delete 7 items. The six components explored PND screening acceptability, screening readiness, stigma, attitudes toward treatment efficacy, medication counseling responsibility, and the effect PND has on others. The six components explained 59.8% of the variance. Item loadings ranged from .445 to .880. Cronbach's α for each component ranged from .45 to .86. The construct validity and internal consistency reliability of the PND attitudes and screening acceptability questionnaire have been explored. Future measurements of these constructs using uniform, psychometrically sound scales may facilitate comparisons across studies.

Keywords: acceptability; attitudes; perinatal depression; reliability; validity.

MeSH terms

  • Adult
  • Australia
  • Depression, Postpartum / diagnosis*
  • Depression, Postpartum / psychology*
  • Female
  • Humans
  • Mass Screening / psychology*
  • Patient Acceptance of Health Care*
  • Professional-Patient Relations*
  • Psychometrics*
  • Surveys and Questionnaires*