TY - JOUR
T1 - Taking the Long View
T2 - How Well Do Patient Activation Scores Predict Outcomes Four Years Later?
AU - Hibbard, Judith H.
AU - Greene, Jessica
AU - Shi, Yunfeng
AU - Mittler, Jessica
AU - Scanlon, Dennis
N1 - Publisher Copyright:
© The Author(s) 2015.
PY - 2015/6/10
Y1 - 2015/6/10
N2 - Patient activation is an important predictor of health outcomes and health care usage, yet we do not know how enduring the benefits of greater patient activation are. This study uses a large panel survey of people with chronic conditions (n = 4,865) to examine whether a baseline patient activation measure predicts outcomes 4 years later, and whether changes in patient activation measure scores are associated with changes in outcomes. The findings indicate that the benefits of health activation are enduring, yielding benefits in the form of better self-management, improved functioning, and lower use of costly health care services over time. Furthermore, the findings indicate that when activation levels change, many outcomes change in the same direction. Patient activation seems to be an important and modifiable factor for influencing chronic disease outcomes; health care delivery systems can use this information to personalize and improve care.
AB - Patient activation is an important predictor of health outcomes and health care usage, yet we do not know how enduring the benefits of greater patient activation are. This study uses a large panel survey of people with chronic conditions (n = 4,865) to examine whether a baseline patient activation measure predicts outcomes 4 years later, and whether changes in patient activation measure scores are associated with changes in outcomes. The findings indicate that the benefits of health activation are enduring, yielding benefits in the form of better self-management, improved functioning, and lower use of costly health care services over time. Furthermore, the findings indicate that when activation levels change, many outcomes change in the same direction. Patient activation seems to be an important and modifiable factor for influencing chronic disease outcomes; health care delivery systems can use this information to personalize and improve care.
UR - http://www.scopus.com/inward/record.url?scp=84930856664&partnerID=8YFLogxK
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U2 - 10.1177/1077558715573871
DO - 10.1177/1077558715573871
M3 - Article
C2 - 25716663
AN - SCOPUS:84930856664
SN - 1077-5587
VL - 72
SP - 324
EP - 337
JO - Medical Care Research and Review
JF - Medical Care Research and Review
IS - 3
ER -