BACKGROUND: Increased adverse pregnancy outcomes related to psychiatric and psychosocial problems can be observed for urban areas when compared to national averages. We developed a personal digital assistant (PDA)-based self-report screening model that produces tailored intervention advices. After having adapted the model to local care pathways, we tested the reliability, validity and feasibility of the model in routine antenatal care. METHODS: Observational study among pregnant women in a Dutch urban area included women with a booking visit. Women answered questions posed by the PDA-tool while waiting for their appointment. If the tool suggested specific interventions (screen result), this was discussed during booking visit. A randomly selected subsample of participants completed the questionnaire again at a subsequent pregnancy check (retest). After the study was conducted, prenatal caregivers and assistants were interviewed for feasibility judgments. Psychometric and diagnostic performance of this approach was established. RESULTS: Response rate among invited pregnant women was 94% on weighted average (n=621). Internal reliability ranged 0.88-0.90, test-retest reliability ranged 0.64-1.00. Positive predictive value was 86% and negative predictive value was 97%. No interpractice psychometrical differences were observed. Migrant women more often received an intervention advice than native women (p<0.001). The approach was well accepted among prenatal caregivers for its time efficiency and patient-friendliness. CONCLUSION: Psychometric properties of our screen-and-advice tool were favorable under routine conditions, and the feasibility of this integral approach appeared good. The technical flexibility renders the model suitable for broader application. Local care pathways can easily be incorporated. We suggest implementation of this model in prenatal care in urbanized settings in order to make tailored mental healthcare broadly available.
BACKGROUND: Increased adverse pregnancy outcomes related to psychiatric and psychosocial problems can be observed for urban areas when compared to national averages. We developed a personal digital assistant (PDA)-based self-report screening model that produces tailored intervention advices. After having adapted the model to local care pathways, we tested the reliability, validity and feasibility of the model in routine antenatal care. METHODS: Observational study among pregnant women in a Dutch urban area included women with a booking visit. Women answered questions posed by the PDA-tool while waiting for their appointment. If the tool suggested specific interventions (screen result), this was discussed during booking visit. A randomly selected subsample of participants completed the questionnaire again at a subsequent pregnancy check (retest). After the study was conducted, prenatal caregivers and assistants were interviewed for feasibility judgments. Psychometric and diagnostic performance of this approach was established. RESULTS: Response rate among invited pregnant women was 94% on weighted average (n=621). Internal reliability ranged 0.88-0.90, test-retest reliability ranged 0.64-1.00. Positive predictive value was 86% and negative predictive value was 97%. No interpractice psychometrical differences were observed. Migrant women more often received an intervention advice than native women (p<0.001). The approach was well accepted among prenatal caregivers for its time efficiency and patient-friendliness. CONCLUSION: Psychometric properties of our screen-and-advice tool were favorable under routine conditions, and the feasibility of this integral approach appeared good. The technical flexibility renders the model suitable for broader application. Local care pathways can easily be incorporated. We suggest implementation of this model in prenatal care in urbanized settings in order to make tailored mental healthcare broadly available.
Authors: Chantal Quispel; Mieke J van Veen; Christianne Zuijderhoudt; Eric A P Steegers; Witte J G Hoogendijk; Erwin Birnie; Gouke J Bonsel; Mijke P Lambregtse-van den Berg Journal: Matern Child Health J Date: 2014-11
Authors: Babette Bais; Astrid M Kamperman; Marjolein D van der Zwaag; Gwen C Dieleman; Hanneke W Harmsen van der Vliet-Torij; Hilmar H Bijma; Ritsaert Lieverse; Witte J G Hoogendijk; Mijke P Lambregtse-van den Berg Journal: BMC Psychiatry Date: 2016-11-08 Impact factor: 3.630
Authors: Sophie E M Truijens; Viola Spek; Maarten J M van Son; S Guid Oei; Victor J M Pop Journal: Arch Womens Ment Health Date: 2017-06-08 Impact factor: 3.633
Authors: Nina M Molenaar; Marlies E Brouwer; Claudi L H Bockting; Gouke J Bonsel; Christine N van der Veere; Hanneke W Torij; Witte J G Hoogendijk; Johannes J Duvekot; Huibert Burger; Mijke P Lambregtse-van den Berg Journal: BMC Psychiatry Date: 2016-03-18 Impact factor: 3.630