改进学习障碍法医精神病安全服务的身体健康监测和干预措施。

Pub Date : 2022-01-01 DOI:10.3233/JRS-227030
Madeleine Landin, Charlotte Palmer, Nadine Paul, Puneh Shahrjerdi
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引用次数: 0

摘要

背景:由于住院病房的结构、抗精神病药物的代谢副作用和社会经济因素,精神科住院患者发生身体健康并发症的风险增加。强有力的身体健康监测和干预措施对于减少这种健康不平等至关重要。目的:提高病房环境中身体健康干预的质量,使患者能够遵循健康的生活方式指导,降低代谢综合征的发生风险。方法:在8周的干预期内,在基线和每周收集患者体重和腰围数据。从基线到第5周,记录一份问卷以评估患者的理解程度。完成了两个计划-做-研究-行动(PDSA)周期:(1)一系列每周心理教育课程和小组练习;(2)实施健康生活日记。结果:我们的数据没有显示任何明确的影响腰围和体重的参与者。然而,对问卷的分析显示,知识的提高趋势是一致的。结论:虽然我们降低患者体重和腰围的目标没有实现,但对参与者的知识有重大影响,证明了我们干预措施的主观益处。我们的项目还强调了身体健康测量和数据收集方面的不一致,为进一步的质量改进措施提供了重要信息。
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Improving physical health monitoring and interventions in a learning disabilities forensic psychiatric secure service.

Background: Patients in psychiatric inpatient settings are at increased risk of developing physical health complications due to the structure of inpatient wards, the metabolic side-effects of antipsychotic medications and socioeconomic factors. Robust physical health monitoring and interventions are paramount in reducing this health inequality.

Objective: To improve the quality of physical health interventions in the ward environment and empower patients to follow healthy lifestyle guidance to reduce their risk of metabolic syndrome.

Methods: Patient weight and waist circumference data were collected at baseline and weekly throughout the 8-week intervention period. A questionnaire was recorded from baseline to week-5 to assess patient understanding. Two Plan-Do-Study-Act (PDSA) cycles were completed: (1) Series of weekly psychoeducation sessions and group exercise and (2) Implementation of healthy living diaries.

Results: Our data did not demonstrate any definitive impact upon the waist circumference and weight of participants. However, analysis of the questionnaires showed a consistent trend in knowledge improvement.

Conclusion: Whilst our aim of reducing patient weight and waist circumference was not realised, there was a significant impact on participant's knowledge, demonstrating a subjective benefit of our interventions. Our project also highlighted inconsistencies in physical health measurements and data collection, providing vital information for further quality improvement measures.

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