Journal of addictions nursing · 2024
Predictors of Patient-Initiated Discharge From an Inpatient Withdrawal Management Service: A Sex-Based Study.
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Ling Sara, Sproule Beth, Puts Martine, Cleverley Kristin
Аннотация
OBJECTIVES: The purpose of this study was to examine sex-stratified independent predictors of patient-initiated discharge from an inpatient withdrawal management service and to determine whether those predictors differed by sex.
METHODS: This study compared people who had self-initiated versus planned discharges and used sex-stratified generalized estimating equations models to identify independent predictors of patient-initiated discharge. Predictors examined included age, ethnicity, substance of concern, tobacco use, mental health comorbidities, day of discharge, referral source, children, and social assistance funds.
RESULTS: Among females, there were 722 discharges, 116 of which were patient initiated. Among females, increasing age was associated with lower odds of patient-initiated discharge ( OR = 0.97, 95% CI [0.95, 0.98]). Racialized females were nearly 2 times more likely to experience patient-initiated discharge compared with White females ( OR = 1.8, 95% CI [1.09, 3.00]). Compared with weekdays, weekends were associated with over 4 times the odds of patient-initiated discharge ( OR = 4.77, 95% CI [2.66, 8.56]). Having one or more mental health comorbidities was associated with lower odds of patient-initiated discharge compared with having no mental health comorbidities ( OR = 0.51, 95% CI [0.32, 0.82]). Among males, there were 1,244 discharges, 185 of which were patient initiated. Among males, increasing age was associated with decreased odds of patient-initiated discharge ( OR = 0.97, 95% CI [0.95, 0.98]). Compared with weekdays, weekends were associated with nearly 15 times the odds of patient-initiated discharge ( OR = 14.9, 95% CI [9.11, 24.3]).
CONCLUSIONS: Males and females have shared and unique predictors of patient-initiated discharge. Future studies should continue to examine the influence of sex and gender on engagement with addictions care.
METHODS: This study compared people who had self-initiated versus planned discharges and used sex-stratified generalized estimating equations models to identify independent predictors of patient-initiated discharge. Predictors examined included age, ethnicity, substance of concern, tobacco use, mental health comorbidities, day of discharge, referral source, children, and social assistance funds.
RESULTS: Among females, there were 722 discharges, 116 of which were patient initiated. Among females, increasing age was associated with lower odds of patient-initiated discharge ( OR = 0.97, 95% CI [0.95, 0.98]). Racialized females were nearly 2 times more likely to experience patient-initiated discharge compared with White females ( OR = 1.8, 95% CI [1.09, 3.00]). Compared with weekdays, weekends were associated with over 4 times the odds of patient-initiated discharge ( OR = 4.77, 95% CI [2.66, 8.56]). Having one or more mental health comorbidities was associated with lower odds of patient-initiated discharge compared with having no mental health comorbidities ( OR = 0.51, 95% CI [0.32, 0.82]). Among males, there were 1,244 discharges, 185 of which were patient initiated. Among males, increasing age was associated with decreased odds of patient-initiated discharge ( OR = 0.97, 95% CI [0.95, 0.98]). Compared with weekdays, weekends were associated with nearly 15 times the odds of patient-initiated discharge ( OR = 14.9, 95% CI [9.11, 24.3]).
CONCLUSIONS: Males and females have shared and unique predictors of patient-initiated discharge. Future studies should continue to examine the influence of sex and gender on engagement with addictions care.