Sampling for Patient Exit Interviews: Assessment of Methods Using Mathematical Derivation and Computer Simulations.
Sampling for Patient Exit Interviews: Assessment of Methods Using Mathematical Derivation and Computer Simulations.
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患者退出访谈的采样：使用数学推导和计算机模拟的方法评估。
DOI：
10.1111/1475-6773.12611
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发表时间：
2018-03
影响因子：
3.4
通讯作者：
Bärnighausen T
中科院分区：
文献类型：
--
作者：
Geldsetzer P;Fink G;Vaikath M;Bärnighausen T
(1) 评估患者退出访谈的各种抽样方法的运行效率； (2) 讨论每种方法在什么情况下产生无偏样本； (3) 提出一种新的、操作高效且无偏差的抽样方法。文献综述、数学推导和蒙特卡罗模拟。我们的模拟表明，在患者退出访谈中，如果访谈者在完成访谈后选择下一位退出临床咨询的患者，那么操作效率最高。我们从数学角度证明，这种方法会产生有偏差的样本：与临床医生相处时间较长的患者所占比例过高。通过选择下一位进入而不是退出咨询室的患者可以消除这种偏见。我们表明，在大多数初级卫生保健机构中，这种抽样方法在操作上比其他方法（系统和简单随机抽样）更有效。假设患者进入会诊室的顺序与临床医生和访谈员相处的时间长短无关，选择下一个进入会诊室的患者往往是患者退出访谈中操作上最有效的无偏抽样方法。
(1) To evaluate the operational efficiency of various sampling methods for patient exit interviews; (2) to discuss under what circumstances each method yields an unbiased sample; and (3) to propose a new, operationally efficient, and unbiased sampling method. Literature review, mathematical derivation, and Monte Carlo simulations. Our simulations show that in patient exit interviews it is most operationally efficient if the interviewer, after completing an interview, selects the next patient exiting the clinical consultation. We demonstrate mathematically that this method yields a biased sample: patients who spend a longer time with the clinician are overrepresented. This bias can be removed by selecting the next patient who enters, rather than exits, the consultation room. We show that this sampling method is operationally more efficient than alternative methods (systematic and simple random sampling) in most primary health care settings. Under the assumption that the order in which patients enter the consultation room is unrelated to the length of time spent with the clinician and the interviewer, selecting the next patient entering the consultation room tends to be the operationally most efficient unbiased sampling method for patient exit interviews.
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影响因子：
2.5
作者：
Sando D;Geldsetzer P;Magesa L;Lema IA;Machumi L;Mwanyika-Sando M;Li N;Spiegelman D;Mungure E;Siril H;Mujinja P;Naburi H;Chalamilla G;Kilewo C;Ekström AM;Fawzi WW;Bärnighausen TW
通讯作者：
Bärnighausen TW
影响因子：
1
作者：
Etiaba, Enyi;Onwujekwe, Obinna;Adjagba, Alex
通讯作者：
Adjagba, Alex
影响因子：
2.8
作者：
Islam F;Rahman A;Halim A;Eriksson C;Rahman F;Dalal K
通讯作者：
Dalal K
影响因子：
2.8
作者：
Chimbindi N;Bärnighausen T;Newell ML
通讯作者：
Newell ML
影响因子：
2.2
作者：
Steine, S;Finset, A;Laerum, E
通讯作者：
Laerum, E