Clinical research validity depends critically on sound sampling methodology and adequate sample size determination, yet many published studies demonstrate deficiencies in these fundamental aspects. This educational review addresses sampling techniques and sample size calculations in clinical research. The review covers probability sampling approaches, including simple random, systematic random, stratified, and cluster sampling methods, contrasting these with non-probability techniques such as convenience, purposive, snowball, and quota sampling. For each method, we discuss implementation strategies, inherent biases, and appropriate clinical applications. Sample size determination principles are presented across multiple study designs, encompassing cross-sectional prevalence studies, case–control investigations, cohort studies, randomized controlled trials, and correlational analyses. Key statistical concepts, including Type I and Type II errors, statistical power, effect size estimation, and variance considerations, are also explained. Additionally, some available software tools for sample size calculation are outlined to facilitate implementation. This review ultimately provides clinical researchers with essential knowledge to make informed methodological decisions that enhance study quality and contribute to the evidence base for healthcare decision-making.
{"title":"Sampling Methods and Sample Size Determination in Clinical Research: An Educational Review","authors":"Azzam Zrineh, Maysa Al-Usta, Abdallah Alwawi","doi":"10.1002/jgf2.70096","DOIUrl":"https://doi.org/10.1002/jgf2.70096","url":null,"abstract":"<p>Clinical research validity depends critically on sound sampling methodology and adequate sample size determination, yet many published studies demonstrate deficiencies in these fundamental aspects. This educational review addresses sampling techniques and sample size calculations in clinical research. The review covers probability sampling approaches, including simple random, systematic random, stratified, and cluster sampling methods, contrasting these with non-probability techniques such as convenience, purposive, snowball, and quota sampling. For each method, we discuss implementation strategies, inherent biases, and appropriate clinical applications. Sample size determination principles are presented across multiple study designs, encompassing cross-sectional prevalence studies, case–control investigations, cohort studies, randomized controlled trials, and correlational analyses. Key statistical concepts, including Type I and Type II errors, statistical power, effect size estimation, and variance considerations, are also explained. Additionally, some available software tools for sample size calculation are outlined to facilitate implementation. This review ultimately provides clinical researchers with essential knowledge to make informed methodological decisions that enhance study quality and contribute to the evidence base for healthcare decision-making.</p>","PeriodicalId":51861,"journal":{"name":"Journal of General and Family Medicine","volume":"27 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jgf2.70096","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145891404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p>Morikawa et al. [<span>1</span>] demonstrate that patient satisfaction in primary care is significantly influenced by the contributions of non-physician staff, particularly nursing demeanor and care during waiting times. Their multivariable analysis identified nursing staff demeanor (PR 2.06) and waiting time care (PR 1.43) as independent predictors of satisfaction, underscoring that patient experience reflects the cumulative effect of multidisciplinary interactions rather than physician performance alone [<span>1</span>]. These findings offer important reflections for primary care practice, research, and policy development in the Philippines.</p><p>In many Philippine primary care settings, patient encounters begin well before the physician consultation. Nurses, midwives, and barangay health workers (BHWs) often serve as the first and most consistent points of contact [<span>2</span>]. The Japanese findings resonate strongly with this context, as Filipino patients interpret warmth, attentiveness, and respectful communication as manifestations of <i>malasakit</i>, a culturally embedded expression of care. Emphasizing nursing demeanor affirms the centrality of relational competence in patient experience, particularly in a system where non-physician staff carry substantial responsibilities for triage, counseling, health education, and emotional support [<span>3</span>].</p><p>Similarly, the importance of “waiting time care” aligns with the Philippine reality of long queues in both urban clinics and rural health units. Patient experience is shaped less by the duration of the wait and more by how patients are accompanied during that time. Simple gestures—status updates, brief conversations, blood pressure checks, or reassurance from BHWs—mitigate frustration and foster trust [<span>2</span>].</p><p>These insights suggest actionable strategies to enhance patient experience. Structured “waiting time care protocols” in <i>Konsulta</i> clinics and rural health units, led by nurses and BHWs, can provide consistent relational support during delays [<span>3</span>]. National training modules on compassionate communication for non-physician staff may improve relational quality without significant infrastructural investment. Strengthening the role of BHWs as patient navigators acknowledges their unique cultural and relational proximity to communities. Additionally, patient journey mapping can guide improvements in clinic workflows, ensuring that every interaction contributes positively to satisfaction [<span>1</span>].</p><p>Okayama proposes that the Longitudinal Integrated Clerkship is an innovative model of community-based clinical training in which non-physician staff are trained to provide culturally sensitive care, thereby enhancing patient-centeredness, fostering trust, and improving overall satisfaction, while also encouraging future healthcare professionals to value team-based, community-oriented practice [<span>4</span>]. For General and Family Med
Morikawa等人[bbb]证明,初级保健中的患者满意度受到非医生工作人员的贡献的显著影响,特别是护理行为和等待时间的护理。他们的多变量分析发现,护理人员的行为举止(PR为2.06)和等待时间护理(PR为1.43)是满意度的独立预测因子,强调患者体验反映了多学科互动的累积效应,而不仅仅是医生的表现[10]。这些发现为菲律宾的初级保健实践、研究和政策制定提供了重要的反思。在菲律宾的许多初级保健机构中,患者接触早在医生咨询之前就开始了。护士、助产士和村卫生工作者通常是第一个和最一致的接触点。日本的研究结果与这一背景产生了强烈的共鸣,因为菲律宾患者将温暖、关注和尊重的沟通视为malasakit的表现,这是一种文化中嵌入的关怀表达。强调护理行为肯定了关系能力在患者体验中的中心地位,特别是在一个非医生人员承担分诊、咨询、健康教育和情感支持等重大责任的系统中。同样,“等待时间护理”的重要性与菲律宾城市诊所和农村卫生单位排长队的现实相一致。病人的经历与其说是由等待的时间长短决定的,不如说是由在等待期间如何陪伴病人决定的。简单的手势——状态更新,简短的谈话,血压检查,或者来自bhws的安慰——都能减轻挫败感,培养信任。这些见解为提高患者体验提供了可行的策略。由护士和保健医生领导的康苏塔诊所和农村保健单位的结构化“等待时间护理协议”可在延误期间提供一致的关系支持。针对非医师员工的同情心沟通的国家培训模块可以在没有重大基础设施投资的情况下提高关系质量。加强bhw作为患者导航员的作用承认他们与社区的独特文化和关系接近。此外,患者旅程地图可以指导临床工作流程的改进,确保每一次互动都对满意度有积极的贡献。Okayama提出,纵向综合实习是一种创新的基于社区的临床培训模式,在这种模式中,非医生员工接受培训,提供文化敏感的护理,从而增强以患者为中心,培养信任,提高整体满意度,同时也鼓励未来的医疗保健专业人员重视以团队为基础,以社区为导向的实践bbb。对于全科医学和家庭医学,这些发现建议了未来的研究方向:检查bhw对患者满意度的贡献,评估将关系实践整合到临床操作中的干预措施。政策方面,将患者体验指标——特别是那些与非医生互动相关的指标——纳入PhilHealth Konsulta认证,可以激励整体的、以团队为基础的护理,与《全民医疗法案》高效、以人为本的初级保健目标保持一致。最后,Morikawa等人强调了菲律宾社区长期认可的原则:治疗本质上是关系的,高质量的护理依赖于整个医疗团队的协调参与。将菲律宾人的关系价值观融入到实践中,并赋予非医生员工权力,可以增强以患者为中心、文化响应能力和同情心。将这些相关实践整合到培训、认证和日常操作中,为实现更全面、公平和有效的初级保健提供了一条途径。Jeff Clyde G. Corpuz:概念化,调查,写作-原稿,写作-审查和编辑。作者没有什么可报道的。作者声明无利益冲突。这篇文章链接到https://doi.org/10.1002/jgf2.70073.The,作者没有什么可报告的。
{"title":"Non-Physician Contributors to Patient Satisfaction: Insights for Strengthening Philippine Primary Care","authors":"Jeff Clyde G. Corpuz","doi":"10.1002/jgf2.70095","DOIUrl":"https://doi.org/10.1002/jgf2.70095","url":null,"abstract":"<p>Morikawa et al. [<span>1</span>] demonstrate that patient satisfaction in primary care is significantly influenced by the contributions of non-physician staff, particularly nursing demeanor and care during waiting times. Their multivariable analysis identified nursing staff demeanor (PR 2.06) and waiting time care (PR 1.43) as independent predictors of satisfaction, underscoring that patient experience reflects the cumulative effect of multidisciplinary interactions rather than physician performance alone [<span>1</span>]. These findings offer important reflections for primary care practice, research, and policy development in the Philippines.</p><p>In many Philippine primary care settings, patient encounters begin well before the physician consultation. Nurses, midwives, and barangay health workers (BHWs) often serve as the first and most consistent points of contact [<span>2</span>]. The Japanese findings resonate strongly with this context, as Filipino patients interpret warmth, attentiveness, and respectful communication as manifestations of <i>malasakit</i>, a culturally embedded expression of care. Emphasizing nursing demeanor affirms the centrality of relational competence in patient experience, particularly in a system where non-physician staff carry substantial responsibilities for triage, counseling, health education, and emotional support [<span>3</span>].</p><p>Similarly, the importance of “waiting time care” aligns with the Philippine reality of long queues in both urban clinics and rural health units. Patient experience is shaped less by the duration of the wait and more by how patients are accompanied during that time. Simple gestures—status updates, brief conversations, blood pressure checks, or reassurance from BHWs—mitigate frustration and foster trust [<span>2</span>].</p><p>These insights suggest actionable strategies to enhance patient experience. Structured “waiting time care protocols” in <i>Konsulta</i> clinics and rural health units, led by nurses and BHWs, can provide consistent relational support during delays [<span>3</span>]. National training modules on compassionate communication for non-physician staff may improve relational quality without significant infrastructural investment. Strengthening the role of BHWs as patient navigators acknowledges their unique cultural and relational proximity to communities. Additionally, patient journey mapping can guide improvements in clinic workflows, ensuring that every interaction contributes positively to satisfaction [<span>1</span>].</p><p>Okayama proposes that the Longitudinal Integrated Clerkship is an innovative model of community-based clinical training in which non-physician staff are trained to provide culturally sensitive care, thereby enhancing patient-centeredness, fostering trust, and improving overall satisfaction, while also encouraging future healthcare professionals to value team-based, community-oriented practice [<span>4</span>]. For General and Family Med","PeriodicalId":51861,"journal":{"name":"Journal of General and Family Medicine","volume":"27 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jgf2.70095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145887298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}