The Efficacy of A Smartphone-based Support System to Reinforce Alcohol Abstinence in Treatment-seeking Patients
Background: Interactive and mobile technology to manage alcohol use problem potentially provide continuing care by offering emotional and instrumental support anywhere and in time, but the effectiveness for maintaining abstinence has not been examined. the investigators will evaluate in this study whether the smartphone-based support system would improve outcomes for people in recovery for alcohol dependence. To enable continuous self-monitoring and self-management, the phone support system prompts subjects to take Breath Alcohol Concentration (BrAC) tests using a phone application and a Bluetooth sensor unit. The system also offers instantaneous feedback, self-management strategies, and anonymous mutual social support from other subjects.
Methods: This three-year project will be conducted in three stages, including pilot study, efficacy evaluation (12 week), and post-intervention follow-up (12 week) stage. Participants will be given a smartphone (if the subject does not have one), breathalyzer and training session. In the pilot study stage,10 subjects will be enrolled to validate the system. In the efficacy evaluation stage, the investigators will conduct a 12-week by enrolling 100 post-detoxification alcohol dependent patients who are randomized to (1) standard treatment (ST) group or (2) standard treatment plus phone-based support group (technology intervention, TI group). Participants will be assessed by Time-Line Follow-Back (TLFB) to record the frequency and quantity of alcohol consumption, visual analogue for craving, Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI), Satisfaction with Life Scale (SWLS), and Quality of life Scale (WHOQOL-BREF) and compared for outcome measures. After the 12-week trial, the investigators will take back the support system and follow the all subjects in both groups for another 12 weeks, i.e. post-intervention stage, to further understand the sustaining benefit from intervention. In addition, the investigators will identify the clinical variables or system factors that are associated with outcome measures.
Expected results: In this study, the investigators expect that in treatment-seeking alcohol dependent patients, a smartphone-supported self-management program, adding on to conventional treatment, will be beneficial in improving the drinking outcomes such as a higher abstinence rate, a lower relapse rate, and a lower drinking frequency and quantity.
調査の概要
研究の種類
入学 (予想される)
段階
- 適用できない
連絡先と場所
研究場所
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Taipei、台湾、110
- 募集
- Ming-Chyi
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コンタクト:
- Ming-Chyi Huang, M.D., Ph.D
- 電話番号:1219 886-2-27263141
- メール:mch@tpech.gov.tw
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コンタクト:
- Galen Hung, M.D.
- 電話番号:1305 886-2-27263141
- メール:galenhung@gmail.com
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主任研究者:
- Ming-Chyi Huang, M.D., Ph.D.
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副調査官:
- Chuan-Wen Yu, Ph.D
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副調査官:
- Hao-Hua Chu, Ph.D
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参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
説明
Inclusion Criteria:
- Age between 20 and 50 years;
- Use an Android phone as his/her primary phone, or be willing to use an Android phone provided by National Taiwan University as his/her primary phone during the study;
- Fulfilling the Diagnostic and Statistical Manual version IV (DSM-IV) criteria of alcohol dependence assessed by the Structured Clinical Interview;
- Complete abstinence for at least 10 days and free of any withdrawal symptoms; and
- Drug screening test results negative opiates, amphetamines, and ketamine.
Exclusion Criteria:
- A current DSM-IV diagnosis of dependence or abuse on other substances except nicotine or the use of one to two low-potency benzodiazepine tablets for sleep impairment;
- A current mental or psychiatric impairment or disease that required psychotropic medication or inpatient treatment on a psychiatric ward;
- A history of opioid or psychostimulant abuse;
- A history of psychosis, including schizophrenia, bipolar I or bipolar II disorder, and major depressive disorder with psychotic features;
- Current use of any antipsychotics;
- Homelessness;
- Pregnancy, nursing, or refusal to use a reliable method of birth control in women;
- Cognitive deficit and not thus being able to comprehend the informed consent and study procedure
研究計画
研究はどのように設計されていますか?
デザインの詳細
- 主な目的:処理
- 割り当て:ランダム化
- 介入モデル:並列代入
- マスキング:なし(オープンラベル)
武器と介入
参加者グループ / アーム |
介入・治療 |
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実験的:Intervention group
This group of subjects receives mobile support system and conventional treatment
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介入なし:Control group
This group of patients receive conventional treatment only
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この研究は何を測定していますか?
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
---|---|---|
Time to first lapse
時間枠:12 weeks
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12 weeks
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Time to first relapse
時間枠:12 weeks
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12 weeks
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Cumulative abstinence days
時間枠:12 weeks
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12 weeks
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Number of drinks per drinking days
時間枠:12 weeks
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each visit during the 12 weeks: week 1, 2, 4, 8, 12
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12 weeks
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VAS craving measurement
時間枠:12 weeks
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each visit during the 12 weeks: week 1, 2, 4, 8, 12
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12 weeks
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complete abstinence rate
時間枠:12 weeks
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12 weeks
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Drop-out rate
時間枠:12 weeks
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each visit during the 12 weeks: week 1, 2, 4, 8, 12
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12 weeks
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協力者と研究者
スポンサー
捜査官
- 主任研究者:Ming-Chyi Huang, MD, PhD、Taipei City Psychiatric Center
- スタディチェア:Hao-Hua Chu, PhD、Department of Computer Science and Information Engineering, National Taiwan University
- スタディディレクター:Chuang-Wen You, PhD、Intel-NTU Connected Context Computing Center, National Taiwan University
研究記録日
主要日程の研究
研究開始
一次修了 (予想される)
研究の完了 (予想される)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (見積もり)
学習記録の更新
投稿された最後の更新 (見積もり)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。
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