Mathie R T, Robinson T W
Faculty of Homeopathy and British Homeopathic Association, Hahnemann House, Luton, UK.
Homeopathy. 2006 Oct;95(4):199-205. doi: 10.1016/j.homp.2006.06.002.
A base for targeted research and development in homeopathy can be founded on systematic collection and analysis of relevant clinical data obtained by doctors in routine practice. With these longer-term aims in mind, we conducted a pilot data collection study, in which 14 homeopathic physicians collected clinical and outcomes data over a 6-month period in their practice setting.
A specifically designed Excel spreadsheet enabled recording of consecutive clinical appointments under the following main headings: date, patient identity (anonymised), age and gender, medical condition/complaint treated, whether chronic or acute, new or follow-up case, patient-assessed outcome (7-point Likert scale: -3 to +3) compared with first appointment, homeopathic medicine/s prescribed, whether any other medication/s being taken for the condition. Spreadsheets were submitted monthly via email to the project co-ordinator for data synthesis and analysis.
Practitioners typically submitted data regularly and punctually, and most data cells were completed as required, enabling substantial data analysis. The mean age of patients was 41.5 years. A total of 1,783 individual patient conditions were treated overall. Outcome from two or more homeopathic appointments per patient condition was obtained in 961 cases (75.9% positive, 4.6% negative, 14.7% no change; 4.8% outcome not recorded). Strongly positive outcomes (scores of +2 or +3) were achieved most notably in the frequently treated conditions of anxiety, depression, and irritable bowel syndrome.
This multi-practitioner pilot study has indicated that systematic recording of clinical data in homeopathy is both feasible and capable of informing future research. A refined version of the spreadsheet can be employed in larger-scale research-targeted clinical data collection in the medical practice setting--particularly in primary care.
顺势疗法的靶向研究与开发基础可建立在系统收集和分析医生在日常实践中获取的相关临床数据之上。考虑到这些长期目标，我们开展了一项试点数据收集研究，14位顺势疗法医生在其执业环境中收集了6个月期间的临床和疗效数据。
一个专门设计的Excel电子表格能够按照以下主要标题记录连续的临床预约信息：日期、患者身份（匿名）、年龄和性别、所治疗的医疗状况/病症、是慢性还是急性、新病例还是随访病例、与首次预约相比患者评估的结果（7点李克特量表：-3至+3）、所开的顺势疗法药物、针对该病症是否正在服用其他药物。电子表格每月通过电子邮件提交给项目协调员进行数据综合与分析。
从业者通常定期且准时提交数据，并且大多数数据单元格都按要求填写完整，从而能够进行大量数据分析。患者的平均年龄为41.5岁。总共治疗了1783例个体患者病症。在961例病例中获得了每位患者病症两次或更多次顺势疗法预约的结果（75.9%为阳性，4.6%为阴性，14.7%无变化；4.8%未记录结果）。在焦虑、抑郁和肠易激综合征等常见治疗病症中，尤其取得了强阳性结果（得分+2或+3）。
这项多从业者试点研究表明，顺势疗法临床数据的系统记录既可行又能为未来研究提供信息。该电子表格的改进版本可用于医疗实践环境中针对大规模研究的临床数据收集——尤其是在初级保健中。
