TY - JOUR
T1 - Predicting grief intensity after recent perinatal loss
AU - Hutti, Marianne H.
AU - Myers, John
AU - Hall, Lynne A.
AU - Polivka, Barbara J.
AU - White, Susan
AU - Hill, Janice
AU - Kloenne, Elizabeth
AU - Hayden, Jaclyn
AU - Grisanti, Meredith Mc Grew
N1 - Publisher Copyright:
© 2017 Elsevier Inc.
PY - 2017/10
Y1 - 2017/10
N2 - Objective The Perinatal Grief Intensity Scale (PGIS) was developed for clinical use to identify and predict intense grief and need for follow-up after perinatal loss. This study evaluates the validity of the PGIS via its ability to predict future intense grief based on a PGIS score obtained early after a loss. Methods A prospective observational study was conducted with 103 international, English-speaking women recruited at hospital discharge or via the internet who experienced a miscarriage, stillbirth, or neonatal death within the previous 8 weeks. Survey data were collected at baseline using the PGIS and the Perinatal Grief Scale (PGS). Follow-up data on the PGS were obtained 3 months later. Data analysis included descriptive statistics, Cronbach's alpha, receiver operating characteristic curve analysis, and confirmatory factor analysis. Results Cronbach's alphas were ≥ 0.70 for both instruments. PGIS factor analysis yielded three factors as predicted, explaining 57.7% of the variance. The optimal cutoff identified for the PGIS was 3.535. No difference was found when the ability of the PGIS to identify intense grief was compared to the PGS (p = 0.754). The PGIS was not inferior to the PGS (AUC = 0.78, 95% CI 0.68–0.88, p < 0.001) in predicting intense grief at the follow-up. A PGIS score ≥ 3.53 at baseline was associated with increased grief intensity at Time 2 (PGS: OR = 1.97, 95% CI 1.59–2.34, p < 0.001). Conclusions The PGIS is comparable to the PGS, has a lower response burden, and can reliably and validly predict women who may experience future intense grief associated with perinatal loss.
AB - Objective The Perinatal Grief Intensity Scale (PGIS) was developed for clinical use to identify and predict intense grief and need for follow-up after perinatal loss. This study evaluates the validity of the PGIS via its ability to predict future intense grief based on a PGIS score obtained early after a loss. Methods A prospective observational study was conducted with 103 international, English-speaking women recruited at hospital discharge or via the internet who experienced a miscarriage, stillbirth, or neonatal death within the previous 8 weeks. Survey data were collected at baseline using the PGIS and the Perinatal Grief Scale (PGS). Follow-up data on the PGS were obtained 3 months later. Data analysis included descriptive statistics, Cronbach's alpha, receiver operating characteristic curve analysis, and confirmatory factor analysis. Results Cronbach's alphas were ≥ 0.70 for both instruments. PGIS factor analysis yielded three factors as predicted, explaining 57.7% of the variance. The optimal cutoff identified for the PGIS was 3.535. No difference was found when the ability of the PGIS to identify intense grief was compared to the PGS (p = 0.754). The PGIS was not inferior to the PGS (AUC = 0.78, 95% CI 0.68–0.88, p < 0.001) in predicting intense grief at the follow-up. A PGIS score ≥ 3.53 at baseline was associated with increased grief intensity at Time 2 (PGS: OR = 1.97, 95% CI 1.59–2.34, p < 0.001). Conclusions The PGIS is comparable to the PGS, has a lower response burden, and can reliably and validly predict women who may experience future intense grief associated with perinatal loss.
KW - Miscarriage
KW - Neonatal death
KW - Perinatal grief screening instrument
KW - Stillbirth
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U2 - 10.1016/j.jpsychores.2017.07.016
DO - 10.1016/j.jpsychores.2017.07.016
M3 - Article
C2 - 28867418
AN - SCOPUS:85028063225
SN - 0022-3999
VL - 101
SP - 128
EP - 134
JO - Journal of Psychosomatic Research
JF - Journal of Psychosomatic Research
ER -