Effectiveness of the "7H" Intervention to Reduce Frequent Attendance in Primary Care ("7H")
Effectiveness of the "7H" Intervention to Reduce Frequent Attendance in Primary Care: Cluster Randomised Controlled Trial. The "7H" Study
The main objective is to measure the effectiveness of a new intervention to decrease use of services of primary care frequent attenders (FA).Among the secondary objectives are to evaluate the cost-effectiveness and cost utility of the new intervention compared with usual care.
METHODS: There will be a randomized controlled trial with cluster assignment. It will take place in the field of primary care in the city of Malaga.It will be evaluated a new multicomponent intervention called "7H" (7 Hypothesis). This intervention will be applied on the FA by their family doctors in the intervention group. In the control group will be developed usual cares.
The main outcome is the total of visits of FA at 12 months of the follow-up. The secondary outcomes include changes happened in biopsychosocial health, satisfaction, and quality of life measurements. The investigators will assess the dependent and independents (from FA, general practitioner [GP] and health centres) variables at baseline, and 12 months. At baseline it will be include a random sample of 450 FA (225 for each arm), belonging to 30 family doctors of 10 health centres. It will be performed linear regression multilevel models with 4 levels (time, patient, doctor and health centre) to evaluate the effectiveness of the intervention. . Moreover will be undertaken multivariate gamma and quantile regressions to assess the cost-effectiveness and cost-utility respectively of the new intervention versus usual cares, estimating their standard errors by bootstrap calculations.
調査の概要
詳細な説明
The "7H" intervention
- Hypothesis generation: analysis of available informationGPs analyze all the available information about possible reasons for frequent attendance from clinical charts using a standardized questionnaire designed to facilitate analysis of this information. This questionnaire prompts analysis of the following: (1) category of visits and their frequencies; (2) type of frequent attender according to the first point; (3) family and personal history, and biopsychosocial problem list that needed follow-up; (4) searching for common factors for frequent attendance from the previous points; (5) feelings and thoughts questionnaires, 'In most interviews with this patient I think ...' (11 items), 'I feel ...' (13 items); (6) rethinking issues of GP capacity (and processes) to resolve the frequent attendance in this patient; and (7) analyzing the different professionals who intervened in patient care and their contribution to resolving or continuing frequent attendance.Finally, GPs indicate the type of hypothesis from a list of seven that they believe made the patient a frequent attender: biological, psychological, social, family, cultural, administrative-organizational, or related to the doctor-patient relationship.
- Hypothesis confirmation: the decision to accept or refute each hypothesis is based on the GP's interpretation of the data (cognitive component) and the self-perception about feeling sure (emotional component). When necessary, the GPs can try out the hypothesis with one or more of the following strategies: another interview with the patient,biological and psychosocial tests, and/or asking for the opinion of other professionals.
- Planning: the GP makes plans for each frequent attender based on the confirmed hypothesis and available resources. There are many possible plans, examples of which include: making longer intervals between medical revisits for stable chronic patients, and asking for collaboration with nurses; looking for possible causes of the unstable physical chronic illness and intervening accordingly; scheduling an interview to search for a psychological, family or/and, social diagnosis; suppressing unnecessary face-to-face medical revisits for repeat prescriptions in stable chronic patients, and asking the health centre administrative staff for collaboration; asking the social worker at the health centre for help; referring to community resources if necessary; and being more realistic about the type of doctor-patient relationship expected. These plans are then commented on at the group meeting, after which the GP negotiates the plan with the frequent attender. The GP should never suggest to the patient: 'You have to attend less frequently'. This would be too aggressive and the patient might react with anger or guilt. It is better to offer a search for solutions to the patient's health problem from both points of view.
研究の種類
入学 (実際)
段階
- 適用できない
連絡先と場所
研究場所
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Málaga、スペイン、29009
- Servicio Andaluz de Salud. Distrito Sanitario Málaga
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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:
- Frequent Attenders: 90th percentile of number of visits of the previous year, stratified by age and sex.
Exclusion Criteria:
- < 14 years.
- Unable to understand or speak Spanish.
- Cognitive impairment.
- Terminal illness.
- Planning to be outside of the the city 3 or more months during the next 12 months.
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:ヘルスサービス研究
- 割り当て:ランダム化
- 介入モデル:並列代入
- マスキング:独身
武器と介入
参加者グループ / アーム |
介入・治療 |
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介入なし:いつものお手入れ
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実験的:New multicomponent intervention
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The GPs in the intervention group will undertake an interactive workshop training session (15 hours) on the '7 hypotheses' (7H) intervention.
In short, this intervention encourages GPs to select from a list of seven possible hypotheses for why the patient is a frequent attender: biological, psychological, social, family, cultural, administrative-organisational, or related to the doctor-patient relationship.
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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 |
時間枠 |
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Effectiveness of the intervention "7H"
時間枠:12 months
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12 months
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
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Cost-effectiveness and cost-utility
時間枠:12 months
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To evaluate the cost-effectiveness and cost-utility of the intervention "7H" versus usual care.
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12 months
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協力者と研究者
研究記録日
主要日程の研究
研究開始
一次修了 (実際)
研究の完了 (実際)
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
本研究に関する用語
その他の研究ID番号
- PI-0505
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