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Psychiatry Investig > Volume 22(11); 2025 > Article
Jeong, Ann, Kim, Kim, and Lee: The Impact of Psychiatric Interventions on Mortality in Patients With Alcohol-Related Diseases

Abstract

Objective

This study aimed to examine the current status of psychiatric therapy and anti-craving prescriptions for patients with alcohol-related diseases and to evaluate the impact of these treatments on the prognosis of alcohol-related diseases for drawing implications.

Methods

Data were analyzed by combining data extracted from one hospital, data of the National Health Insurance Service, and the National Statistical Office mortality data. The rationale for utilizing an integrated data set was that a single dataset from a single hospital was insufficient for comprehending economic factors, mortality rates, and medical information.

Results

The analysis yielded two principal conclusions. Firstly, concurrent administration of psychiatric therapy and anti-craving prescriptions was demonstrated to be an effective approach in the management of alcohol-related disorders. Secondly, the economic status of patients was found to influence outcomes of psychiatric pharmacotherapy.

Conclusion

The integration of diverse alcohol-related data for management could facilitate the implementation of personalized prescriptions tailored to specific needs of each patient. This approach has the potential to reduce mortality rates and mitigate societal burdens associated with alcohol-related diseases.

INTRODUCTION

Excessive alcohol consumption is a major public health issue that can result in severe physical, psychological, and social consequences. While moderate drinking might confer certain health benefits, excessive drinking is associated with more than 60 diseases and injuries, including cancers, cardiovascular and digestive disorders, mental illnesses, and accidents such as car crashes, homicides, and suicides. Alcohol-related causes account for 3.2% of all deaths globally and 9.4% of deaths in South Korea [1,2].
Alcohol use disorder (AUD), a critical outcome of excessive drinking, is characterized by withdrawal symptoms, tolerance, and cravings [3]. It is a major global mental health concern, frequently co-occurring with other substance use disorders, depression, and severe conditions such as liver disease and cancer. Additionally, AUD is associated with various psychosocial issues, including violence and suicide [4,5].
According to the 2021 Mental Health Survey [6], South Korea has the highest lifetime prevalence of AUD (11.6%) among all mental disorders, yet it has the lowest treatment rate [7]. Only 3.4% of individuals diagnosed with AUD utilize mental health services and just 3.2% seek psychiatric care [8]. This treatment gap is largely attributed to low public awareness of AUD, despite strong evidence supporting the effectiveness of medical interventions such as cognitive behavioral therapy, psychiatric counseling, and anti-craving prescriptions. In South Korea, naltrexone and acamprosate are commonly prescribed to reduce alcohol cravings. Randomized controlled trials have demonstrated their efficacy in maintaining abstinence [9,10].
However, most existing research studies have focused on treatment infrastructure [11,12] and the effectiveness of anti-craving prescriptions [13,14], with relatively few studies examining alcohol-related comorbidities and mortality. Despite high mortality rates among patients with alcohol-related diseases, limited research exists on this topic due to challenges in linking hospital records to national datasets.
Thus, this study investigated the status of psychiatric therapy and anti-craving prescriptions in patients with alcohol-related diseases and evaluated their effects on patient prognosis. Utilizing anonymized data compiled at the Gangwon Pseudonym Information Center, this research aimed to inform strategies for managing alcohol-related diseases in Gangwon Province by analyzing patient characteristics, treatment patterns, and outcomes.

METHODS

Subject sampling

This study included 1,667 patients diagnosed with alcohol-related diseases between 2012 and 2021. Disease codes for alcohol-related conditions were defined and data were extracted accordingly (Table 1). This study was approved by the Institutional Review Board (IRB) of Hallym University Chuncheon Sacred Heart Hospital (IRB No. Chuncheon-2022-08-016-002).
Data from hospital records were linked to National Health Insurance Service (NHIS) data and mortality records from the National Statistical Office. To facilitate data integration, a linkage key based on identifiable information (e.g., name, date of birth) was developed in consultation with relevant institutions (Figure 1). Pseudonymized linkage keys were generated and used to integrate datasets while ensuring patient anonymity.
Hospital data included regional alcohol-related diagnoses, treatment records, and behavioral health data. These were combined with NHIS records of alcohol addiction treatment and prescription data, followed by additional de-identification.
The integration of datasets was necessary because hospital data alone were insufficient to analyze economic conditions, comorbidities, or mortality of patients. While hospital data could confirm visits to the psychiatry department, it could not determine whether psychiatric therapy was received. To overcome this limitation, data from hospitals, NHIS, and the National Statistical Office were combined using unified pseudonymous identifiers.

Data extraction and variable definition

Variables were established based on clinical, social, and financial perspectives (Table 2). This study tested two hypotheses (Figure 2):
Hypothesis 1: The provision of psychiatric interventions varied based on patients’ socioeconomic and clinical factors.
Hypothesis 2: Psychiatric therapy and anti-craving prescriptions could affect mortality among patients with alcohol-related diseases.
To test these hypotheses, patients were categorized into three groups based on whether they received psychiatric therapy and/or anti-craving prescriptions (Table 3). Survival time was defined as the period from the first alcohol-related diagnosis to death within a 10-year study window. Group comparisons were conducted using survival analysis. KoreaPlus Statistics (Embeded on SPSS Statistics 29) was used for data preprocessing and SPSS (IBM Corp.) was used for statistical analysis. t-tests and one-way analysis of variance (ANOVA) were performed.

RESULTS

Demographics

After integrating datasets, records of 1,277 patients were obtained. Table 4 summarizes key variables. As shown in Table 5, the average age of patients was 52.19 years. A total of 109 patients had died. Regarding comorbidities, 773 patients had hypertension and 909 had diabetes mellitus, indicating a high prevalence of endocrine diseases among this population.
Of all patients, 731 (57.2%) received psychiatric therapy and 293 (22.9%) received anti-craving prescriptions. Among them, 214 were prescribed acamprosate, 155 were prescribed naltrexone, and 155 received both, indicating that dual prescriptions were often used for patients with liver disease.

Testing hypothesis 1

Based on the classification in Table 3, patients were divided into three groups and compared using one-way ANOVA (Table 6). Group 1 demonstrated the lowest average number of hospitalizations per individual and number of drinks per week, which might indicate that this group comprised patients who had been recently diagnosed with alcohol-related diseases. Group 1 had the lowest mortality rate, while Group 2 had the highest. This indicated that psychiatric therapy alone might be insufficient and that combining it with anti-carving prescriptions and psychiatric therapy could lower mortality. Economic factors also differed significantly among groups, suggesting that socioeconomic status could affect access to anti-carving prescriptions and psychiatric therapy.

Testing hypothesis 2

Deceased patients who received both psychiatric therapy and anti-craving prescriptions were compared with those who did not. Results are shown in Table 7. All patients in the treatment group were males. They were younger on average than those who did not receive treatments.
The incidence of cancer—especially liver cancer—was higher in the treatment group. Furthermore, 53.85% of these patients visited the emergency department, indicating more severe conditions.
Nonetheless, the average survival period was longer for the treatment group (9.44 years) than for the non-treatment group (8.92 years), suggesting that combined treatment could improve long-term survival (Table 8).

DISCUSSION

This study validated two hypotheses using integrated datasets on clinical, economic, and mortality variables among patients with alcohol-related diseases. Three key findings emerged.
First, combining psychiatric therapy with anti-craving prescriptions significantly improved patient survival. Patients who received both treatments had better outcomes than those who received only one treatment. The effectiveness of naltrexone and acamprosate in reducing alcohol consumption and prolonging abstinence is well-supported in clinical literature [15-17]. These findings highlight the value of multidisciplinary care in managing AUD.
Second, socioeconomic status significantly affected treatment access. Patients with higher incomes were more likely to receive pharmacological treatments, reflecting broader healthcare disparities. Prior research supports that lower-income populations, especially in urban areas, are at greater risk for AUD and worse treatment outcomes [18-21]. Thus, policy efforts are needed to address these gaps.
By integrating data of comorbidities, mortality, and economic status, this study provides a more comprehensive understanding of AUD treatment. Classifying patients by treatment type allows more nuanced analysis. However, this study was limited to hospitalized patients. Thus, larger, more diverse populations should be examined in future research. Another limitation of this study was that observed outcomes might reflect differences in patient conditions rather than effects of psychiatric therapy or anti-craving prescriptions. Thus, longitudinal studies are needed in the future to assess the long-term impact of different treatment modalities on AUD prognosis.
In conclusion, alcohol-related diseases pose serious threats to both individual health and societal wellbeing, making timely intervention essential. This study demonstrates that combining psychiatric therapy with anti-craving prescriptions, particularly naltrexone and acamprosate, is effective in prolonging survival among AUD patients. Understanding each patient’s clinical and socioeconomic background is crucial for tailoring effective treatments. Integrating diverse alcohol-related datasets enables personalized care, which might help reduce mortality and alleviate the broader societal burden of alcohol-related diseases.

Notes

Availability of Data and Material

The datasets generated or analyzed during the study are unavailable despite corresponding author on reasonable request. This study utilized data from a university hospital, the National Health Insurance Service (NHIS), and Statistics Korea. Access to the data is restricted to the NHIS, which is responsible for data integration.

Conflicts of Interest

The authors have no potential conflicts of interest to disclose.

Author Contributions

Conceptualization: Dae-hyun Jeong, Moo Eob Ahn, Sang-Kyu Lee. Data curation: Dae-hyun Jeong, Ji-hye Kim. Formal analysis: Dae-hyun Jeong, Sang-mi Kim. Funding acquisition: Sang-Kyu Lee, Dae-hyun Jeong. Investigation: Dae-hyun Jeong, Ji-hye Kim. Methodology: Dae-hyun Jeong. Project administration: Sang-Kyu Lee. Supervision: Sang-Kyu Lee. Validation: Dae-hyun Jeong. Visualization: Dae-hyun Jeong. Writing—original draft: Dae-hyun Jeong, Sang-Kyu Lee. Writing—review & editing: Dae-hyun Jeong, Sang-Kyu Lee.

Funding Statement

This research was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (grant number: HI22C0707, RS-2022-KH125845) and by the Regional Innovation System & Education(RISE) program through the Gangwon RISE Center, funded by the Ministry of Education(MOE) and the Gangwon State(G.S.), Republic of Korea(2025-RISE-10-009) and by the Hallym University Research Fund.

Acknowledgments

The authors thank Gangwon Pseudonym Information Center for cooperation on experimental process and combining the extracted data among the National Health Insurance Service, the National Statistical Office and Chuncheon Sacred Heart Hospital.

Figure 1.
Data integration promotion process. NHIS, National Health Insurance Service.
pi-2024-0233f1.jpg
Figure 2.
Diagram of hypothesis.
pi-2024-0233f2.jpg
Table 1.
Codes of alcohol related diseases
Extraction criteria Patients with alcohol-related diagnostic codes in the primary diagnosis, secondary diagnosis, or tertiary to quinary diagnosis codes
Codes F10x, G312, G621, G721, I426, K292, K703, K700, K7043,2, K7010, K852, K860
Number of patients 1,677
Table 2.
Variables for each constructed data factor
Factors Variables
Clinical factor Number of hospitalizations, re-hospitalization rate, AST/ALT ratio, psychiatric therapy, anti-craving prescription
Social factor Age, frequency of drinking, amount of drinking
Financial factor Health insurance payment

AST, aspartate aminotransferase; ALT, alanine aminotransferase.

Table 3.
Definitions of three groups
Group Description Number of patients
Group 1 No psychiatric intervention 538
Group 2 Psychiatric therapy without anti-craving prescription 454
Group 3 Psychiatric therapy with anti-craving prescription 285
Table 4.
Variables for each constructed data source
Data source Variables
Hospital Linkage key, department, region, sex, age, hospitalization information, medication information
National Health Insurance Service Linkage key, code, medical statement information, health checkup information, health insurance
National Statistical Office Linkage key, morality status, date of morality status, cause of morality status
Table 5.
Demographics of total patients
Variables Value (N=1,277)
Population
 Age (yr) 52.19±13.08
 Number of deceased patients 109 (8.5)
 Sex
  Male 1,047 (82.0)
  Female 230 (18.0)
Clinical factor
 Average number of hospitalizations per individual 1.75±4.46
 Number of re-hospitalizations per individual 282 (22.1)
 AST/ALT ratio 1.34±0.65
 Number of psychiatric interventions per individual 731 (57.2)
 Number of anti-craving prescription per individual 293 (22.9)
  Acamprosate 214 (16.8)
  Naltrexone 155 (12.1)
  Acamprosate+Naltrexone 155 (12.1)
 Hypertension 773 (60.5)
 Diabetes mellitus 909 (71.2)
 Cancer 431 (33.8)
Social factor
 Number of drinks per week 1.96±1.28
 Quantity of drinking (standard unit of alcohol) 2.63±5.73
Financial factor
 Health insurance payment (Korean won) 781,979±692,044

Number of drinking: The average daily alcohol consumption recorded in individual health check-ups over the past 10 years. Quantity of drinking: The average weekly drinking frequency recorded in individual health check-ups over the past 10 years. Health insurance payment: It refers to the average monthly health insurance premium paid by individuals over the past 10 years, which varies based on personal assets and income. Values are presented as mean±standard deviation or number (%). AST, aspartate aminotransferase; ALT, alanine aminotransferase.

Table 6.
Results of one-way analysis of variance among three groups
Variables Group 1 Group 2 Group 3 p
Death 5.20 11.89 9.47 0.001
Clinical factor
 Average number of hospitalizations per individual (mean) 0.41 2.50 3.02 <0.001
 Re-hospitalization rate (yes/no, %) 5.57 33.55 35.44 <0.001
 AST/ALT ratio (mean) 1.20 1.42 1.50 <0.001
 Number of psychiatric intervention per individual (mean) 0.00 41.58 62.13 <0.001
Social factor
 Number of drinks per week (mean) 1.80 2.19 2.09 0.019
 Quantity of drinking (mean) 2.32 2.52 2.09 0.225
Financial factor
 Health insurance payment (Korean won) (mean) 895,468 633,431 810,625 <0.001

AST, aspartate aminotransferase; ALT, alanine aminotransferase.

Table 7.
Demographics of deceased patients
Variable Group 3 Others
Sex
 Male 27 (100) 71 (86.59)
 Female 0 (0.00) 11 (13.42)
Age (yr) 56.16±12.71 60.12±13.74
Comorbidities
 Hypertention 19 (73.08) 68 (82.93)
 Diabetes mellitus 24 (88.89) 71 (86.59)
 Cancer 14 (51.85) 39 (47.56)
  Gastric cancer 2 (7.41) 5 (6.10)
  Liver cancer 10 (37.03) 19 (23.17)
  Pancreatic cancer 1 (3.70) 12 (2.44)
Department
 Emergency 14 (53.85) 38 (46.34)
 Hepatology 10 (38.46) 29 (35.37)

Values are presented as mean±standard deviation or number (%).

Table 8.
Analysis comparing survival periods among deceased individuals (t-test)
Variable Group 3 Others p
Survival period (mean, yr) 9.44 8.92 0.019

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