喋らないのは誰? 医療従事者の福祉調査における非回答バイアス
C Aubrey Rhodes1, Xi Hu2, Richard B Freeman3
1Department of Informatics, King's College London, London, United Kingdom, and Atalan Tech, Philadelphia, Pennsylvania.
まとめ
医療従事者の調査では 回答率が低いことが多く 偏った結果が出ます 非回答者は,特にターンオーバーや低生産性のリスクが高い人は,参加する可能性が低いので,組織の洞察と介入を歪めている.
科学分野:
- 医療管理
- 組織的行動
- 医療サービス研究
背景:
- 従業員の福祉に関する調査は 医療のリーダーにとって 燃え尽きることやサポートなどの 労働力の動態を評価するのに 極めて重要です
- 回答率の低さは,調査結果を大きく歪め,報告された労働力の機能の妥当性を制限する.
- 非回答者からの結果データを取得する上で課題があるため,非回答者バイアスに関する研究は限られている.
研究 の 目的:
- 従業員調査の回答者と非回答者の間で,人口統計,流通,機能に関する違いを調査する.
- 従業員の幸福度調査の結果が有効であるかどうかを分析する.
- より良い意思決定のために,調査データにおける潜在的なバイアスについて,医療指導者に知らせる.
主な方法:
- 長期的研究では,産婦人科クリニックの医師と専門医が参加しました.
- 人口統計,売上高 (1.25年間追跡),生産性 (RVU),労働パターンに関するデータは,EHRとHRISから収集されました.
- 回答者と非回答者の間の売上高の相対的なリスクと生産性の違いが評価されました.
主要な成果:
- 高度な実務者の非回答者は,調査後の転職リスクが10~12倍高く,特に退職年齢未満の回答者は,転職リスクが10~12倍高い.
- 退職年齢未満の医師の非回答者は2四半期以内に転職するリスクが5倍に増加しました.
- 非回答のAPは高齢で,結婚している可能性が高く,医師の集団的な違いは見つかりませんでした.
結論:
- リスクが高い人 (ターンオーバー,低生産性) は,従業員の調査を完了する可能性が低いため,回答率の偏差が大きいことが示されています.
- 調査データだけに頼るだけで,労働力の機能や効果のない介入について不正確な結論に至る可能性があります.
- 医療指導者は客観的なデータ (EHR,HRIS) を調査結果と統合して,従業員の福祉を全面的に理解し,バイアスを軽減する必要があります.
さらに関連する動画
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
14.6K
12:22Mindfulness in Motion MIM: An Onsite Mindfulness Based Intervention MBI for Chronically High Stress Work Environments to Increase Resiliency and Work Engagement
Published on: July 1, 2015
23.8K
関連する概念動画
Surveys
15.3K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
15.3K
Bias in Epidemiological Studies
671
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
671
Obedience
33.1K
According to obedience research, we may harm others under the forceful pressures of an authority figure (Milgram, 1974). How about if the inappropriate orders were delivered with less force? The increasing interdependence between nurses and physicians compelled Hofling and his colleagues to explore nurses’ reactions to a potentially harmful medical request made by the perceived authority figure, the doctor (Hofling, Brotzman, Dalrymple, Graves, & Pierce, 1966). In this situation,...
33.1K
Ethical Issues
1.2K
Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
Ethical Concerns in Healthcare:
Ethical Concerns in Healthcare:
1.2K
Bias
4.9K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
4.9K
The Availability Heuristic
6.4K
A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
6.4K
