Literature DB >> 35434885

Factors associated with readmission to alcohol and opioid detoxification in the Alaska Interior.

Ursula Running Bear1, Jessica D Hanson2, Carolyn Noonan3, Clemma Muller4, Jodi Trojan5, Spero M Manson6.   

Abstract

BACKGROUND AND OBJECTIVES: A "revolving door" of repeated admissions to detoxification treatment facilities has long plagued alcohol and drug use patients, yet few studies examine factors associated with readmission. This study examined risk factors for readmission to alcohol and opioid detoxification in a sample from the Alaska Interior.
METHODS: Data were extracted from electronic medical records for admissions between 2012 and 2016 at an inpatient detoxification facility in Fairbanks, Alaska. Data from 1014 patients admitted for alcohol detoxification and 267 patients admitted for opioid detoxification were analyzed. The analysis employed descriptive statistics for risk factors (substance use history, adverse life experiences, and psychosocial functioning) and prevalence of readmission to either alcohol or opioid detoxification. Inferential analyses used marginal standardization to calculate differences in readmission risk by patient characteristics.
RESULTS: Male, Alaska Native/American Indian, single-never married patients, and those seeking work were at higher risk for readmission to alcohol detoxification, while those with stable housing were at reduced risk. Being single-never married and completing detoxification treatment reduced readmission to opioid detoxification. Family involvement in detoxification reduced readmission risk for both alcohol and opioid patients. DISCUSSION AND
CONCLUSIONS: Further research that investigates the mechanism(s) by which family may act as a protective factor may be efficacious in eliminating the "revolving door" of detoxification. SCIENTIFIC SIGNIFICANCE: This study is the first to examine both alcohol and opioid use risk and protective factors in the Alaska Interior. The results can be used in the development of interventions for subpopulations with high detoxification readmission rates.
© 2022 The Authors. The American Journal on Addictions published by Wiley Periodicals LLC on behalf of The American Academy of Addiction Psychiatry (AAAP).

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Year:  2022        PMID: 35434885      PMCID: PMC9463080          DOI: 10.1111/ajad.13288

Source DB:  PubMed          Journal:  Am J Addict        ISSN: 1055-0496


INTRODUCTION

Detoxification is the process of clearing the body of toxins resulting from acute substance withdrawal and/or intoxication. Detoxification treatment ideally is the first step toward long‐term recovery, as substance abuse treatment programs require the process to be complete before admission. The primary goal of detoxification is the safe management of the withdrawal process, with a secondary goal of effecting entry into longer‐term substance use treatment. After diagnosis, evaluation, and treatment of withdrawal symptoms, patients are discharged and typically referred to formal substance use treatment, usually with minimal follow‐up. , Failure to transition to substance use treatment after discharge from detoxification is a strong predictor of readmission, whereas a successful transition can delay or prevent subsequent readmissions. , The lack of transition from detoxification and ongoing support results in a “revolving door” of repeated discharges and readmissions. , The revolving door phenomenon was reported more than four decades ago but still persists today. , It impacts both patients and health care systems. A large proportion of detoxification patients who do not transition to treatment are at high risk for readmission and remain vulnerable to poor health, experience more physical and psychiatric comorbidities, and have more withdrawal symptoms. , , Data from the United States in 1989 indicates the average cost for an inpatient detoxification stay for patients with mild to moderate withdrawal exceeded $3300. Though not specific to inpatient detoxification, the average cost per episode of adult residential treatment was $9426 in 2003. Although these studies are dated, the statistics hint at the staggering costs of treating patients caught in the revolving door. In Alaska, this phenomenon may be even more burdensome because only two detoxification facilities exist within the state, resulting in a limited number of beds to treat withdrawal. Additionally, Alaska experiences a shortage of healthcare providers including substance use treatment providers. These combined conditions may contribute to an increased strain on the health care system in Alaska. Our prior work from a detoxification facility located in Southcentral Alaska found 42% of Alaska Native/American Indian (ANAI) people admitted to an inpatient alcohol detoxification program were readmitted within 1 year of their index admission. This study also found lower levels of social, occupational, and psychological functioning and worse withdrawal severity, measured by the Global Assessment of Functioning (GAF), were associated with readmission to detoxification among ANAI people. Other associations with readmission to detoxification included unemployment and homelessness. The ANAI Southcentral readmission rate is higher than the readmission rate found in a sample of the general US population where 26% were readmitted within 1 year. Readmitted detoxification patients in the general population tend to be older, male, and have a longer length of time to readmission if follow‐up treatment is received. First Nations people in Canada experience a 1‐year readmission rate of 35% with risk factors of being male, unemployment, unstable residence, and alcohol as the primary drug of choice. Recurrent themes in these 1‐year studies show readmission to alcohol detoxification is associated with being male, unemployed, and homeless. The literature is absent information on readmission to opioid detoxification among ANAI people, therefore we focus on what is known generally. Regardless of urban or rural residence, ANAI people had the highest drug overdose death rate in 2015. The metropolitan and nonmetropolitan ANAI opioid age‐adjusted death rates are similar to the White racial group but slightly higher. However, the ANAI nonmetropolitan opioid death rate (19.8 per 100,000) is much higher compared to rural resident Blacks (7.1 per 100,000) or Hispanics (7.5 per 100,000). Similar patterns emerge in metropolitan areas. ANAI opioid risk and protective factors are specific to certain samples. ANAI/Native Hawaiian college students experience the highest rate of opioid misuse among all racial groups with reported risk factors of loneliness, difficult social relationships, family problems, and intimate partner violence. Risk factors for life‐time opioid misuse among American Indian youth aged 10 to 21 include family disapproval, poor academic performance, and peer substance use. ANAI patients at risk of ceasing their medication‐assisted treatment were younger and had co‐occurring substance disorders. In the United States 1‐year opioid detoxification readmission ranges from 20% to 30%. , Factors associated with 1‐year opioid readmission, include a history of physical abuse, police involvement or incarceration, a younger age, male, bipolar disorder, and a discharge against medical advice. , Rarely does the literature include the experiences of ANAI people or residents of Alaska. In a state with the largest landmass and a sparsely populated population, this study aims to identify risk and protective factors associated with readmission for both alcohol and opioid detoxification to better inform interventions aimed at transitioning patients to long‐term recovery.

METHODS

Setting

The data derive from the Gateway to Recovery (GTR) detoxification program located within the Fairbanks Native Association (FNA). FNA provides comprehensive behavioral health treatment, including inpatient detoxification, short‐term residential treatment, long‐term residential treatment for women with children, and outpatient treatment. GTR is the only medical detoxification program in the Alaska Interior and only one of two in the state. Although GTR treats detoxification from opioids, approximately 95% of patients are admitted for alcohol withdrawal.

Data

This analysis was deemed “not human subjects” from institutional review boards at CU Anschutz and WSU who conducted the analysis. Data for these analyses were extracted from GTR's Electronic Medical Record (EMR) for unique individual patients discharged from the detoxification facility during a 5‐year period (2012–2016). Extracted data are detailed below. FNA supports an aggressive, continuous quality improvement effort related to data collection and employs a data manager who works closely with staff to ensure the accuracy and completeness of EMR data.

Measures

The outcome variable(s) were readmission to detoxification within 1 year of the index admission for a primary substance of alcohol or opioids (yes/no). Death data were unavailable; therefore, those in the nonreadmitted group may include patients who died within 1 year who would have otherwise been at risk for readmission.

Demographic information

Age was recoded into five categories: 18–24, 25–34, 35–44, 45–54, and 55‐82 years. Sex was a dichotomous (male/female). Race was assessed as ANAI or Other. Marital status included married or living as married; single‐never married; and divorced‐, separated‐, or widowed‐not remarried. Employment categories included employed full or part‐time versus unemployed (seeking employment, not in the labor force, seasonal employment, other). Location of residence included Fairbanks, the Interior of Alaska, and outside the Interior of Alaska. Stable housing included living in a private residence with or without support. Presence of children within the home was defined as having children younger than 18 years of age residing in the household.

History of substance use

Number of days abstinent from primary substance before the index admission was recoded as 0, 1–10, and 11–30 days. Age at first use of primary substance was recoded into four categories: <14, 14–19, 20–29, and 30–57 years. Self‐report of any substance use hospitalizations in the year preceding the index admission was a dichotomous yes/no variable.

Adverse life experiences

Self‐reported lifetime history of physical abuse and current involvement in the legal system (legal charges, court appearances, arrest, probation or parole) were extracted as yes/no variables.

Mental health

Depression severity was assessed by the Alaska Screening Tool, required of all programs receiving State of Alaska funding. The screening asked eight questions related to the number of days over the last 2 weeks the patient experienced depressive symptoms. The items were categorized and summed to create a scale. Symptom categories included none, mild or moderate, and moderately severe or severe. Data on self‐reported mental health hospitalizations in the year preceding the index admission was also extracted.

Psychosocial functioning

GAF measured the severity of withdrawal symptoms and psychological, social, and occupational functioning. Scores range from zero to 100, higher scores indicating better functioning. Scores were categorized in quartiles, 10–25, 26–30, 31–35, and 36–99.

Index admission and discharge information

Length of stay (LOS) in detoxification, family involvement in treatment (yes/no), and patient completion of the index detoxification admission (completed/left against staff advice) were extracted. LOS was categorized as 1–2, 3–4, or 5–19 days.

Statistical analysis

The analysis was conducted separately by primary substance use for the index admission between 2012 and 2016: alcohol (n = 1014) or opioids (n = 272). We calculated descriptive statistics as means and standard deviations (SD) for continuous variables and frequencies for categorical variables. Continuous variables were categorized and included in the models as dummy variables to allow for nonlinear associations with the outcome. Logistic regression was used to estimate associations between risk factors and detoxification readmission within 1 year versus no readmission. Because odds ratios overestimate the risk ratio for common outcomes, we used marginal standardization to report risk differences for each factor. As a simple extension of conventional standardization methods, , marginal standardization uses coefficients from the logistic regression model to calculate the predicted probability of readmission for each level of a risk factor. We used the predicted probabilities to estimate risk differences, reported as percent. These results reflect the estimated population‐level difference in percent readmission that would be expected if everyone in the population were exposed compared to if everyone were not exposed to the risk factor, assuming a population with the same distribution of confounders as in the study cohort. We fit two models for each risk factor. First, we estimated the crude association with the outcome. Second, we estimated the association adjusted for age, sex, and race. Regression results are presented as risk difference accompanied by 95% confidence intervals (CI). As a sensitivity analysis, we evaluated age at index admission, age at first alcohol or opioid use, GAF score, and LOS as continuous variables by including linear and quadratic terms in the models. We considered multiple imputation but chose listwise deletion to account for missing data because of the exploratory nature of the analysis, minimal missing data for most variables, and the likelihood that available variables would not be sufficient to estimate missing values without bias. All analyses were conducted using Stata version 15.

RESULTS

The average age for those admitted to alcohol detoxification was 44 years (SD: 12), 64% were male, and more than two‐thirds were ANAI (Table 1). Fifty percent were single‐never married, 65% resided within the Fairbanks area, and 66% had stable housing. The average number of days abstinent in the 30 days before admission was 7 (SD: 9). Thirty percent of patients experienced moderately severe to severe depressive symptoms and the average GAF score was 32 (SD: 10). The average LOS was 3 days (SD: 1), and 74% completed detoxification.
Table 1

Descriptive statistics for risk factors of readmission among clients admitted to gateways to recovery for alcohol or opioid detoxification, 2012–2016

AlcoholOpioids
Risk factorMissing n (%) N = 1014Missing n (%) N = 272
Demographic
Age at index admission, mean years (SD)0 (0%)44 (12)0 (0%)31 (10)
Male sex0 (0%)64%0 (0%)52%
Alaska Native/American Indian0 (0%)68%0 (0%)31%
Marital status6 (1%)1 (<1%)
Married or living as married23%31%
Single, never married50%54%
Divorced, widowed, or separated27%15%
Employed7 (1%)22%1 (<1%)21%
Location of residence8 (1%)1 (<1%)
Fairbanks65%70%
Interior25%14%
Outer10%16%
Stable housing5 (<1%)66%1 (<1%)80%
Children <18 years of age in home3 (<1%)17%8 (3%)32%
History of substance use
Days abstinent in past 30 days, mean days (SD)53 (5%)7 (9)9 (3%)3 (6)
Age at first use, mean years (SD)18 (2%)15 (6)6 (2%)24 (9)
Any substance use hospitalizations in past year8 (1%)13%4 (1%)13%
Adverse life experiences
History of physical abuse104 (10%)29%36 (13%)28%
Current involvement in legal system18 (2%)9%1 (<1%)20%
Mental health and psychosocial functioning
Any mental health hospitalizations in past year13 (1%)10%3 (1%)7%
Depression symptoms80 (8%)15 (6%)
None26%21%
Mild/moderate43%45%
Moderately severe/severe30%34%
Global assessment of functioning,a mean (SD)126 (12%)32 (10)25 (9%)35 (10)
Detoxification admission and discharge
Length of stay, mean days (SD)1 (<1%)3 (1)0 (0%)5 (3)
Family involvement in treatment81 (8%)7%3 (1%)12%
Completed detox0 (0%)74%0 (0%)38%

Abbreviation: SD, standard deviation.

Higher score indicates better functioning, possible scores range 1–100.

Descriptive statistics for risk factors of readmission among clients admitted to gateways to recovery for alcohol or opioid detoxification, 2012–2016 Abbreviation: SD, standard deviation. Higher score indicates better functioning, possible scores range 1–100. The average age for those admitted to opioid detoxification was 31 years (SD: 10), 52% were male, and 54% were single‐never married (Table 1). Seventy percent resided in the Fairbanks area, and 80% had stable housing. Patients averaged 3 days of abstinence (SD: 6) in the 30 days before admission. Thirty‐four percent experienced moderately severe to severe depressive symptoms and the average GAF score was 35 (SD: 10). The average LOS was 5 days (SD: 3), and 38% completed detoxification. Overall, 44% of alcohol detoxification patients were readmitted within 1 year (Table 2). The prevalence of readmission for alcohol use was highest among patients aged 35–54 years (49%), compared with younger or older age groups (range 18%–42%). More men (48%) than women (38%) were readmitted for alcohol detoxification, and more ANAI patients were readmitted (48%), compared to all other races combined (37%). A total of 25% of the opioid detoxification sample were readmitted within 1 year. The prevalence of readmission for opioid use was highest among patients aged 45 years and older (31%), compared with younger age groups (range 19%–27%). Slightly more women (26%) than men (23%) were readmitted, and slightly fewer ANAI (20%) were readmitted compared to all other racial groups (26%).
Table 2

Readmission presented as row percentages by primary substance, age at index admission, sex, and race, 2012–2016

AlcoholOpioids
Readmitted, n (%)Not readmitteda, n (%)Readmitted, n (%)Not readmitteda, n (%)
Overall447 (44%)567 (56%)67 (25%)205 (75%)
Age at index admission
18–247 (18%)32 (82%)22 (27%)59 (73%)
25–3492 (39%)145 (61%)26 (23%)88 (77%)
35–44120 (49%)126 (51%)8 (19%)34 (81%)
45–54149 (49%)154 (51%)11 (31%)b 24 (69%)b
55–8279 (42%)110 (58%)
Sex
Female138 (38%)227 (62%)34 (26%)96 (74%)
Male309 (48%)340 (52%)33 (23%)109 (77%)
Race
Alaska Native/American Indian326 (48%)359 (52%)17 (20%)66 (80%)
Other121 (37%)208 (63%)50 (26%)139 (74%)

Combines people who died during the year without being readmitted and people who survived the full year without readmission.

Oldest age categories combined due to sparse data.

Readmission presented as row percentages by primary substance, age at index admission, sex, and race, 2012–2016 Combines people who died during the year without being readmitted and people who survived the full year without readmission. Oldest age categories combined due to sparse data. Age exhibited an upside‐down, U‐shaped association with readmission, with the lowest readmission risk among the youngest and oldest categories and the highest risk in people 35–54 years old (Table 3). Being male sex, ANAI, unmarried, unemployed, with a longer LOS, and having completed detoxification were all associated with higher risks of readmission. Living outside of Fairbanks, stable housing, depressive symptoms, and family involved in treatment were all associated with lower risks of readmission. Family involvement was the single strongest protective factor, with 26% (95% CI: −37% to −16%) lower risk of readmission compared with no family involvement. Children in the home, number of days abstinent, age at first use, history of substance use or physical abuse, involvement in the legal system, GAF score, and mental health hospitalizations in the past year did not show strong associations with readmission for alcohol. Unadjusted risk differences are not presented because they were similar to the adjusted results.
Table 3

Difference in risk and protective factors of readmission for alcohol or opioid detoxification within 1 year of index admission (adjusted for age, sex, and race), 2012–2016

AlcoholOpioids
Risk factorRisk difference % (95% CI)Risk difference % (95% CI)
Age at index admission, in years
18–24−21 (−34, −8)5 (−8, 17)
25–34RefRef
35–4411 (2, 19)−3 (−17, 11)
45–5411 (2, 19)8 (−12, 28)
55–823 (−6, 12)11 (−17, 38)
Male sex10 (4, 16)−4 (−14, 7)
Alaska Native/American Indian13 (7, 19)−7 (−17, 4)
Marital status
Married or living as marriedRefRef
Single, never married15 (7, 23)−15 (−27, −2)
Divorced, separated, widowed11 (3, 20)2 (−16, 20)
Employed−9 (−17, −2)8 (−6, 21)
Location of residence
FairbanksRefRef
Interior−12 (−19, −5)−8 (−22, 6)
Outer−22 (−31, −13)−7 (−21, 6)
Stable housing−14 (−20, −7)10 (−2, 21)
Children <18 years of age in home−4 (−12, 5)−2 (−13, 10)
Days abstinent in past 30 days
0RefRef
1–102 (−6, 10)−4 (−15, 7)
11–304 (−3, 11)−9 (−26, 9)
Age at first use in years
<14RefRef
14–19−3 (−10, 3)−1 (−26, 23)
20–294 (−7, 14)−9 (−32, 14)
30–574 (−16, 24)−15 (−39, 9)
Any substance use hospitalizations in past year4 (−5, 13)6 (−10, 23)
History of physical abuse3 (−4, 10)−6 (−18, 5)
Current involvement in legal system2 (−9, 13)−8 (−20, 4)
Depression symptoms
NoneRefRef
Mild/moderate−5 (−13, 3)4 (−10, 17)
Moderately severe/severe−8 (−16, 1)7 (−8, 21)
Any mental health hospitalizations in past year0 (−10, 10)3 (−19, 24)
Global assessment of functioningb
10–25−5 (−14, 4)8 (−6, 23)
26–307 (−2, 16)4 (−11, 18)
31–356 (−5, 16)4 (−11, 20)
36–99RefRef
Length of stay in days
1–2RefRef
3–413 (6, 19)9 (−5, 23)
5–1911 (0, 21)2 (−11, 15)
Family involvement in treatment−26 (−37, −16)−21 (−31, −10)
Completed detoxification7 (0, 13)−15 (−24, −5)

Abbreviation: CI, confidence interval.

People who may have died without a readmission before 1 year were included in the no readmission group because death information was not available.

Higher score indicates better functioning.

Difference in risk and protective factors of readmission for alcohol or opioid detoxification within 1 year of index admission (adjusted for age, sex, and race), 2012–2016 Abbreviation: CI, confidence interval. People who may have died without a readmission before 1 year were included in the no readmission group because death information was not available. Higher score indicates better functioning. Results for risk factors associated with opioid detoxification were considered exploratory due to the smaller sample size and lower statistical power (Table 3). Adjusted point estimates for single‐never married compared to married patients and completion of detoxification were consistent with lower risk for readmission. Family involvement in treatment was the strongest protective factor for opioid detoxification readmission, with 21% (95% CI: −31% to −10%) lower risk compared to no family involvement. Confidence intervals were too wide for conclusive interpretation regarding the association of opioid detoxification admission with other patient characteristics. Results from sensitivity analyses examining select risk factors as continuous variables showed similar curvilinear associations as demonstrated in the discrete variable analysis results (data not shown).

DISCUSSION

The 44% of alcohol detoxification patients readmitted from the Alaska Interior is similar to our previous work in Southcentral Alaska where 42% of the patients were readmitted within 1 year but is higher than the 26% in a general US sample. , This analysis found associations with male sex, unemployment, housing and readmission which aligns with the existing literature as factors related to readmission to alcohol detoxification. , , Unlike our previous work with a sample of ANAI people in Southcentral Alaska focused on alcohol detoxification only, GAF was not an important or strong predictor of readmission in this current analysis. The GAF's validity has been criticized due to interrater reliability issues, consequently this may be a potential reason for the insignificant findings. Family involvement has not been included in readmission to alcohol detoxification studies and in this study was an important protective factor. With ANAI communities, family support and family connectedness promote positive health outcomes. Influences of family may be an important consideration for future interventions. Residence outside the Interior of Alaska, decreased risk for alcohol detoxification readmission. This may derive from access issues where long‐distance travel to treatment and the associated cost of transportation result in a decreased risk of readmission, even though treatment may be warranted. Results are similar to another one of our studies on detoxification completion in Southcentral Alaska that found patients who completed alcohol detoxification (75%) were more likely to be readmitted, yet a small number of the total sample transitioned to treatment (20%). Often, patients enter detoxification, complete the treatment protocol, and resume daily lives without seeking long‐term substance use treatment. Completions results may be influenced by other patterns, some patients enter detoxification due to intoxication but do not require the full medical protocol because they are not experiencing severe withdrawal which increases completion rates. The opioid readmission rate found in this study (25%) falls in the center of two previous 1‐year opioid readmission studies, 20% and 30%, respectively. , Although our study of readmission to opioid detoxification was exploratory, it provides insight into risk and protective factors for adult opioid misuse focusing on a population in Alaska. This information may be useful to target interventions. We included similar variables in our analysis as other studies such as a history of physical abuse, police involvement and functioning but the confidence intervals were too wide for conclusive interpretation in this sample. , Abuse and police involvement are sensitive topics in which underreporting may occur. Given other studies found, loneliness, difficult social relationships, and intimate partner violence were related to opioid use, these may be important considerations in future studies which were not included due to lack of availability in the EMR. Similar to readmission to alcohol detoxification, family involvement in treatment was the strongest protective factor against opioid detoxification readmission. Among those admitted for opioid detoxification, being single‐never married decreased the risk of readmission compared to those married or living with a partner. This may appear contrary to the finding that family involvement in treatment is an important factor for success, however, there are considerations. Those admitted for opioid detoxification tended to be younger: 72% were between the ages of 18 and 34, and perhaps made a conscious choice to not marry. Importantly, among ANAI people family structure extends beyond marital status such as grandparents, parents, siblings, and may also include those residing in the same home sharing responsibilities. Interventions designed to promote family involvement and social connectedness need further exploration, particularly since family is an integral part of ANAI life, as noted above. For instance, research comparing interventions that promote family involvement in treatment versus family support in general may be worthwhile. In Alaska, historical trauma may contribute to the “revolving door” phenomena. Although it cannot be easily addressed within the short LOS typical of detoxification, it may contribute to underlying factors of readmission. In fact, the FNA's substance use continuum of care incorporates trauma into their treatment programs. While we did not directly compare differences in magnitude of associations for alcohol‐ and opioid‐related readmissions, some patterns emerged that suggest two different patient populations exist with varying risk and protective factors. Being aged 18 to 24 was associated with reduced readmission to alcohol detoxification, whereas no association was found for readmission to opioid detoxification. Compared to being married or living with a partner, being single‐never married increased the risk for alcohol detoxification readmission but was a protective factor against opioid detoxification readmission. Likewise, completing detoxification treatment was a risk for alcohol detoxification readmission but a protective factor for opioid readmission. We found no association between mental health hospitalization in the past year and alcohol or opioid detoxification readmission. We suspect patients who require mental health hospitalization may receive referrals and needed mental health care, resulting in lower readmission to detoxification. The “revolving door” pattern that emerged more than four decades ago is still present in our society and points to a system in need of reform. Attempting to solve a complex problem like the detoxification “revolving door” by addressing only the individual or health care influences may be too simplistic. We have yet to address the societal factors that either encourage or inhibit the “revolving door” such as societal attitudes and beliefs, policy, and funding for this vulnerable population. Evident in previous work, detoxification readmission and homelessness are closely connected. , , Housing First programs demonstrate success for those homeless and in need of substance use treatment. However, these programs may need expansion to address functioning, overall health, and social relationships to be more effective. As a society, work on dispelling negative connotations is needed. Some believe homelessness is a result of irresponsible behavior and this group of people are less likely to support federal funding to address housing problems. Those with substance use disorder experience stigma from the general population and healthcare systems. , These opinions may contribute to policies and practices that remain unsupportive of vulnerable populations with chronic conditions. Studies of the underlying mechanisms that influence the choices that high‐risk groups make regarding their lack of transition to longer‐term treatment and studies augmenting promising programs like Housing First are needed. Substantial research and health care resources are devoted to preventing inpatient readmissions for other chronic health conditions, , yet funding to prevention detoxification readmission and focused interventions intended to connect patients with subsequent treatment are both understudied and underfunded. Our study has limitations. Patients who died within the 1‐year period could have been readmitted had they lived, introducing unmeasurable bias into our results. However, our FNA partners indicate that the annual mortality rate is typically <2%, therefore we expect the magnitude of this potential bias to be small. Similarly, we are unable to discern whether patients were readmitted to detoxification facilities other than GTR within 1 year. This may not be a major concern given the limited number of detoxification facilities in Alaska. Additionally, our statistical power for evaluating readmission to opioid detoxification was limited; results should be interpreted with caution and confirmed in larger studies. Nevertheless, our findings show potential factors that can be targets for future intervention research. Moreover, we fit only unadjusted and demographic‐adjusted models as appropriate for the many comparisons and the hypothesis‐generating goals of this study. This study sample primarily includes residents of the Alaska Interior; generalizations to other populations should be made cautiously. However, GTR is state‐funded and operates similar to other programs. Detoxification is the first step toward long‐term recovery from alcohol and drug dependence. It is therefore important to understand risk and protective factors for readmission to detoxification to provide better transitional care, ongoing treatment, and support. This is especially true for subpopulations with relatively high detoxification readmission rates, including people in the Alaska Interior who seek treatment for alcohol and opioid use.

CONFLICTS OF INTEREST

The authors declare no conflicts of interest.
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