| Literature DB >> 33980519 |
Tassiane Cristine Santos Paula1, Camila Chagas2, Ana Regina Noto2, Maria Lucia Oliveira Souza Formigoni2, Tiago Veiga Pereira3,4, Cleusa Pinheiro Ferri1,5,6.
Abstract
INTRODUCTION: Evidence suggests that brief interventions are effective in reducing alcohol consumption among older adults. However, the effectiveness of these interventions when delivered by community health workers (non-specialists) in a primary healthcare setting is unknown. To our knowledge, this will be the first randomised trial to examine this. METHODS AND ANALYSIS: Two hundred and forty-two individuals considered at-risk drinkers (Alcohol Use Disorders Identification Test-Consumption, AUDIT-C score ≥4) will be recruited and randomly allocated to usual care (waiting-list) or usual care plus an intervention delivered by trained community health workers (non-specialists). Seven primary care units (PCUs) in Sao José dos Campos, Brazil. PCUs are part of the Brazilian public healthcare system (Sistema Único de Saúde).Follow-up6 months.OutcomesThe primary outcome will be the proportion of participants considered at-risk drinkers (AUDIT-C score ≥4). Secondary outcomes will include alcohol consumption in a typical week in the last 30 days (in units per week) assessed by the AUDIT, service use questionnaire, cognitive performance-assessed by The Health and Retirement Study Harmonised Cognitive Assessment, physical activity-assessed by the International Physical Activity Questionnaire, depression-assessed by the Geriatric Depression Scale and quality of life-assessed by the Control, Autonomy, Self-realisation and Pleasure-16 instrument. The analysis will be based on intention-to-treat principle. ETHICS AND DISSEMINATION: This study has been approved by the Ethics Committee of the Universidade Federal de São Paulo, CEP/UNIFESP Project n: 0690/2018; CAAE: 91648618.0.0000.5505. All eligible participants will provide informed consent prior to randomisation. The results of this study will be published in relevant peer-reviewed journals and in conference presentations. TRIAL REGISTRATION NUMBER: RBR-8rcxkk. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: mental health; old age psychiatry; protocols & guidelines; substance misuse
Mesh:
Year: 2021 PMID: 33980519 PMCID: PMC8118080 DOI: 10.1136/bmjopen-2020-043918
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Flow diagram.
Timeline for enrolment, assessments, interventions and follow-up
| Study period | |||||
| Enrolment | Allocation | Postallocation | Close-out | ||
| Time point | Baseline | Follow-up (6 months after) | |||
| Enrolment | |||||
| Eligibility screening | X | ||||
| Informed consent | X | X | |||
| Allocation | X | ||||
| Intervention: | |||||
| Brief intervention for older adults | X* | ||||
| Assessments: | |||||
| Baseline Sociodemographic General health. Alcohol consumption. | X | X | X | ||
| Outcome Service and medication use. Physical activity. Problems related to alcohol consumption. Cognitive function. Quality of life. Depression. | X | X | |||
*The brief intervention for older adult at-risk drinkers will be offered at baseline for the intervention group and after 6 months from randomisation for the control group (wait-list group).
SAP, statistical analysis plan
| Variable name | Variable type | Statistical analysis | |
| Baseline between group comparison | Time point (follow-up) between group comparison | ||
| Primary outcome | |||
| Proportion of participants considered at-risk of drink. (AUDIT-C) | Binary | – | GLM (Family=Poisson, Link=log, variance estimator=robust) |
| Secondary outcomes | |||
| Alcohol consumption in one typical week in the last 30 days (units/week) | Continuous | Unpaired Student’s t-test | GLM (Family=Gaussian, Link=identity)—adjusted for the baseline levels of the dependent variable. |
| AUDIT points 0–40 | Continuous | Unpaired Student’s t-test | GLM (Family=Gaussian, Link=identity)—adjusted for the baseline levels of the dependent variable. |
| Patience Health Questionnaire Points 0–6 | Continuous | Unpaired Student’s t- test | GLM (Family=Gaussian, Link=identity)—adjusted for the baseline levels of the dependent variable. |
| Geriatric Depression Scale Points 0–15 | Continuous | Unpaired Student’s t- test | GLM (Family=Gaussian, Link=identity)—adjusted for the baseline levels of the dependent variable. |
| Control, Autonomy, Self-realisation, Pleasure 0/48 (no QoL/total satisfaction in all domains) | Continuous | Unpaired Student’s t- test | GLM (Family=Gaussian, Link=identity)—adjusted for the baseline levels of the dependent variable. |
| International Physical questionnaire duration (minutes per week) | Continuous | Unpaired Student’s t- test | GLM (Family=Gaussian, Link=identity)—adjusted for the baseline levels of the dependent variable. |
| Health and Retirement Study Harmonised Cognitive Assessment | Continuous | Unpaired Student’s t- test | GLM (Family=Gaussian, Link=identity)—adjusted for the baseline levels of the dependent variable. |
AUDIT-C, Alcohol Use Disorders Identification Test-Consumption; GLM, generalised linear models;QoL, quality of life.