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Routine use of measurement to identify patient concerns and track treatment progress is critical to high quality patient care. This is particularly relevant to the Primary Care Behavioral Health model, where rapid symptom assessment and effective referral management are critical to sustaining population-based care. However, research suggests that women who receive treatment in co-located collaborative care settings utilizing the PCBH model are less likely to be assessed with standard measures than men in these settings. The current study utilized regional retrospective data obtained from the Veterans Health Administration's electronic medical record system to: (1) explore rates of mental health measurement for women receiving co-located collaborative care services (N = 1008); and (2) to identify predictors of mental health measurement in women veterans in these settings. Overall, only 8

作者:Kaitlin R, Lilienthal;Laura J, Buchholz;Paul R, King;Christina L, Vair;Jennifer S, Funderburk;Gregory P, Beehler

来源:Psychology, health & medicine 2017 年

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作者:
Kaitlin R, Lilienthal;Laura J, Buchholz;Paul R, King;Christina L, Vair;Jennifer S, Funderburk;Gregory P, Beehler
来源:
Psychology, health & medicine 2017 年
标签:
Integrated care measurement-based care mental health veterans women
Routine use of measurement to identify patient concerns and track treatment progress is critical to high quality patient care. This is particularly relevant to the Primary Care Behavioral Health model, where rapid symptom assessment and effective referral management are critical to sustaining population-based care. However, research suggests that women who receive treatment in co-located collaborative care settings utilizing the PCBH model are less likely to be assessed with standard measures than men in these settings. The current study utilized regional retrospective data obtained from the Veterans Health Administration's electronic medical record system to: (1) explore rates of mental health measurement for women receiving co-located collaborative care services (N = 1008); and (2) to identify predictors of mental health measurement in women veterans in these settings. Overall, only 8