Aström K, Carlsson J, Bates I, Webb D G, Duggan C, Sanghani P, McRobbie D
Department of Biopharmaceutics, Uppsala University, Sweden.
Pharm World Sci. 2000 Aug;22(4):159-64. doi: 10.1023/a:1008783115420.
The purpose of this paper is to investigate patients' drug information preferences using a combination of quantitative and qualitative methods. Patient interviews (n = 299) were conducted on general medical wards in three London teaching hospitals. The purpose was to refine and validate a quantitative 12-item scale, the Intrinsic Desire for Information (IDI), by interfacing quantitative and qualitative data, and to explore the relationship between this scale score and patient demographics. The IDI-scale was subjected to factor analysis. Two secondary factors were found in the IDI scale; a 5-item factor describing the extent of information desired and a weaker 3-item factor describing an inhibited desire for knowledge about illness/drugs. Reliability analysis and multiple regression analysis were undertaken. Responses to open answer questions during the qualitative interviews were transcribed at the bedside and imported into QSR NUD*IST software program for coding and analysis. The methodology employed in this study involved importing quantitative, summative data into a qualitative data base and re-analysing both the quantitative and qualitative data to validate the scale. Age was a predominant factor associated with patient desire for information, although the data suggest that educational and socio-economic status are also influential. Factor 1, the extent of information desired, may have value in targeting receptive patients, or in identifying those who may be refractory to drug information. The refined tool could help health services to effectively target information provision based on evidence, rather than supposition.
本文旨在运用定量和定性相结合的方法,调查患者对药物信息的偏好。在伦敦的三家教学医院的普通内科病房对患者进行了访谈(n = 299)。目的是通过整合定量和定性数据,完善并验证一个包含12个条目的定量量表——信息内在需求量表(IDI),并探究该量表得分与患者人口统计学特征之间的关系。对IDI量表进行了因子分析。在IDI量表中发现了两个次要因子;一个包含5个条目的因子描述了所需信息的程度,另一个较弱的包含3个条目的因子描述了对疾病/药物知识的抑制性需求。进行了信度分析和多元回归分析。定性访谈中开放式问题的回答在床边进行转录,并导入QSR NUD*IST软件程序进行编码和分析。本研究采用的方法包括将定量的汇总数据导入定性数据库,并对定量和定性数据进行重新分析以验证该量表。年龄是与患者信息需求相关的主要因素,不过数据表明教育程度和社会经济地位也有影响。因子1,即所需信息的程度,可能在确定易接受信息的患者或识别那些可能对药物信息不敏感的患者方面具有价值。经过完善的工具可以帮助卫生服务机构基于证据而非假设,有效地针对特定人群提供信息。