Use of motivational and educational techniques in behavioral health patients to impact self-care and emergency department visit rates

Basit, Saadia A.; Getz, Marshall J.; Chung, Heather

doi:10.5430/jnep.v6n6p48

Cited by 2 publications

(2 citation statements)

References 34 publications

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“…We used convenient sampling to select caregivers of varying educational and socio-economic backgrounds. For caregivers who were illiterate, the teach back method (TBM) technique was employed to increase the validity of outcomes [28]. The researchers read out the questions and caregivers were asked to repeat the question in their own words before providing their response.…”

Section: Cognitive Debriefingmentioning

confidence: 99%

Use of patient-reported outcomes in low-resource settings — lessons from the development and validation of the Zimbabwean Caregiver Burden Scale

Dambi

Jelsma

Mambo

et al. 2017

European Journal of Physiotherapy

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Section: Cognitive Debriefingmentioning

confidence: 99%

Use of patient-reported outcomes in low-resource settings — lessons from the development and validation of the Zimbabwean Caregiver Burden Scale

Dambi

Jelsma

Mambo

et al. 2017

European Journal of Physiotherapy

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“…BH/SA patients who were at a high risk of being readmitted were given follow-up telephone calls and home visits as parts of post-discharge care to decrease the likelihood of a readmission or an ED visit. 8…”

Section: Introductionmentioning

confidence: 99%

DSRIP’s innovation and collaboration in population health management: A cross-sectional segmented time series model

Shenoy

2019

Health Serv Manage Res

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Texas Medicaid Section 1115 waiver approved Delivery System Reform Incentive Payment (DSRIP) program has four categories, namely infrastructure development, program innovation and redesign, reporting of quality improvement outcomes, and population health improvement. A metric of the fourth category, preventable hospitalization rate, was analyzed for a set of eight diagnostic conditions to assess the impact of DSRIP on participating- and non-participating hospitals over two time periods, pre-DSRIP and post-DSRIP, with the help of a cross-sectional segmented time series regression model. Texas Healthcare Information Collection database was leveraged to obtain preventable hospitalization rate data. The dependent variables were preventable hospitalization rates of eight program-specified conditions and the independent variables were time, intervention, and post-implementation intervention. The overall combined preventable hospitalization rate for DSRIP hospitals was observed to decrease by 25.73%, whereas the overall combined preventable hospitalization rate for non-DSRIP hospitals was observed to increase by 37.57%. DSRIP hospitals had invested in coordinating healthcare projects and were subsequently reimbursed by the state for healthcare improvements. The implementation of DSRIP may have had the capacity to decrease preventable hospitalization rates in regions wherein its adoption may have improved the health of the population.

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Use of motivational and educational techniques in behavioral health patients to impact self-care and emergency department visit rates

Cited by 2 publications

References 34 publications

Use of patient-reported outcomes in low-resource settings — lessons from the development and validation of the Zimbabwean Caregiver Burden Scale

Use of patient-reported outcomes in low-resource settings — lessons from the development and validation of the Zimbabwean Caregiver Burden Scale

DSRIP’s innovation and collaboration in population health management: A cross-sectional segmented time series model

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