Diverse research designs are needed for population health: Lessons from Maslow

Q3 Medicine Lifestyle medicine (Hoboken, N.J.) Pub Date : 2022-01-10 DOI:10.1002/lim2.55
Marcus Schmitt-Egenolf, Fraser Birrell
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Although RCTs are superior in certain situations, mainly for pharmacological intervention aiming to treat a single disease in an otherwise healthy patient population, their inherent reductionist setting can miss much of what is valuable in health—things that can only be captured in a more patient-centred approach.<span><sup>2</sup></span> This over-reliance on a familiar tool, known as the law of the instrument or ‘Maslow's hammer’, has already been described in 1966: ‘I suppose it is tempting, if the only tool you have is a hammer, to treat everything as if it were a nail’.<span><sup>3</sup></span> RCTs should consequently be used appropriately, as necessary evidence before acquiring real-world evidence in pharmacological interventions.<span><sup>4</sup></span></p><p>As we realize that societal determinants and individual lifestyle choices—which are not easily evaluated in RCTs—will be the major determinants of health and well-being in the future, over-reliance on the RCT instrument holds the danger of limiting medical progress through ‘by design’ prioritization of pharmacological interventions. Virtual group consultations, able to utilise limited resources (health professionals) maximally and deliver efficient care<span><sup>5</sup></span>, are an example of an innovative intervention that cannot be evaluated in a classic RCT. But observational designs have well-recognised limitations, so modern intervention and trial types now available to us should be more widely used and further developed. These include stepped wedge designs, just-in-time adaptive interventions (JITAIs, sometimes referred to as ‘jedis’), (sequential) multi-randomisation trials, and ‘small data’ approaches.<span><sup>5-7</sup></span> As innovative interventions spread at scale, we believe embedded evaluation should be prioritized through novel health technology assessment (HTA) or health service funding schemes, as they and other complex interventions are best studied in real-world conditions, despite a paucity of RCT data.<span><sup>9</sup></span> New—and preferably collaborative to address global inequality—funding streams are needed like the recent initiative from the United Kingdom's National Institute for Health Research (NIHR) for varied research approaches in diverse populations.<span><sup>10</sup></span> Only then can true variety be delivered to facilitate the robust healthcare system changes the syndemic has demonstrated we need.</p><p>We suggest therefore that HTA bodies and other stakeholders work actively towards an expansion of their instruments and funding pathways. In this discussion, a ‘value-flower with 12 petals’ to broaden the view of what constitutes value in healthcare has been suggested<span><sup>11</sup></span> adding to the well-established factors of quality-adjusted life-years, net costs, productivity, and adherence-improving factors, eight new assessments: reduction in uncertainty, fear of contagion, insurance value, severity of disease, value of hope, real option value, equity, and scientific spillovers. Above and beyond these suggestions, we believe that we should aim towards a holistic model, drawing from both the hierarchy of needs by Maslow<span><sup>12</sup></span> and the biopsychosocial model by Engel.<span><sup>13</sup></span> Clearly, patient involvement, as we elaborated in an editorial on education in the previous issue,<span><sup>9</sup></span> is critical here too and the quintuple aim of healthcare: good outcomes, patient and clinician satisfaction, cost-effectiveness, and educational value are also criteria through which to judge research. Taken together, these models remind us that we have a long road ahead of us, but there is strength and resilience in diversity and inclusivity, which is probably why NIHR is recommending the same approach for their own reasons.<span><sup>10</sup></span></p><p>Maslow has been an influential thinker in psychology. In 1943, he described the Hierarchy of Needs<span><sup>12</sup></span> and in 1966, ‘Maslow's hammer’<span><sup>3</sup></span>. 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Abstract

It has been repeatedly shown that randomized controlled trials (RCTs) do not represent real-world patient populations; a recent systematic review showed that more than 70% of trials are not broadly representative, limiting external validity.1 Consequently, RCT-based conclusions can be true (high internal validity) but many are irrelevant for the real-world setting due to low external validity and generalizability. Evidence-based medicine has given pre-eminence to RCTs, and meta-analyses of RCTs graded as the highest evidence in medicine. Although RCTs are superior in certain situations, mainly for pharmacological intervention aiming to treat a single disease in an otherwise healthy patient population, their inherent reductionist setting can miss much of what is valuable in health—things that can only be captured in a more patient-centred approach.2 This over-reliance on a familiar tool, known as the law of the instrument or ‘Maslow's hammer’, has already been described in 1966: ‘I suppose it is tempting, if the only tool you have is a hammer, to treat everything as if it were a nail’.3 RCTs should consequently be used appropriately, as necessary evidence before acquiring real-world evidence in pharmacological interventions.4

As we realize that societal determinants and individual lifestyle choices—which are not easily evaluated in RCTs—will be the major determinants of health and well-being in the future, over-reliance on the RCT instrument holds the danger of limiting medical progress through ‘by design’ prioritization of pharmacological interventions. Virtual group consultations, able to utilise limited resources (health professionals) maximally and deliver efficient care5, are an example of an innovative intervention that cannot be evaluated in a classic RCT. But observational designs have well-recognised limitations, so modern intervention and trial types now available to us should be more widely used and further developed. These include stepped wedge designs, just-in-time adaptive interventions (JITAIs, sometimes referred to as ‘jedis’), (sequential) multi-randomisation trials, and ‘small data’ approaches.5-7 As innovative interventions spread at scale, we believe embedded evaluation should be prioritized through novel health technology assessment (HTA) or health service funding schemes, as they and other complex interventions are best studied in real-world conditions, despite a paucity of RCT data.9 New—and preferably collaborative to address global inequality—funding streams are needed like the recent initiative from the United Kingdom's National Institute for Health Research (NIHR) for varied research approaches in diverse populations.10 Only then can true variety be delivered to facilitate the robust healthcare system changes the syndemic has demonstrated we need.

We suggest therefore that HTA bodies and other stakeholders work actively towards an expansion of their instruments and funding pathways. In this discussion, a ‘value-flower with 12 petals’ to broaden the view of what constitutes value in healthcare has been suggested11 adding to the well-established factors of quality-adjusted life-years, net costs, productivity, and adherence-improving factors, eight new assessments: reduction in uncertainty, fear of contagion, insurance value, severity of disease, value of hope, real option value, equity, and scientific spillovers. Above and beyond these suggestions, we believe that we should aim towards a holistic model, drawing from both the hierarchy of needs by Maslow12 and the biopsychosocial model by Engel.13 Clearly, patient involvement, as we elaborated in an editorial on education in the previous issue,9 is critical here too and the quintuple aim of healthcare: good outcomes, patient and clinician satisfaction, cost-effectiveness, and educational value are also criteria through which to judge research. Taken together, these models remind us that we have a long road ahead of us, but there is strength and resilience in diversity and inclusivity, which is probably why NIHR is recommending the same approach for their own reasons.10

Maslow has been an influential thinker in psychology. In 1943, he described the Hierarchy of Needs12 and in 1966, ‘Maslow's hammer’3. We should explicitly take inspiration from Maslow and learn from the past to prepare for the future by using more diverse research designs and making them holistic.

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人口健康需要多样化的研究设计:马斯洛的经验教训
随机对照试验(RCTs)不能代表现实世界的患者群体,这已经被反复证明;最近的一项系统综述显示,超过70%的试验没有广泛的代表性,限制了外部有效性因此,基于随机对照试验的结论可能是真实的(内部效度高),但由于外部效度和可推广性低,许多结论与现实环境无关。循证医学赋予随机对照试验以卓越地位,随机对照试验的荟萃分析被评为医学中最高的证据。尽管随机对照试验在某些情况下更优越,主要是针对旨在治疗健康患者群体中单一疾病的药物干预,但其固有的简化设置可能会错过许多健康中有价值的东西——这些东西只有在更以患者为中心的方法中才能捕捉到这种对一种熟悉的工具的过度依赖,被称为工具定律或“马斯洛的锤子”,在1966年已经被描述过:“我想,如果你唯一的工具是一把锤子,那么把所有的东西都当作钉子来对待是很诱人的。因此,应该适当地使用随机对照试验,作为在获得实际药物干预证据之前的必要证据。当我们意识到社会决定因素和个人生活方式的选择——在随机对照试验中不容易评估——将成为未来健康和福祉的主要决定因素时,过度依赖随机对照试验工具有可能通过“设计”优先考虑药物干预来限制医学进步。虚拟小组会诊能够最大限度地利用有限的资源(卫生专业人员)并提供有效的护理5,这是一种创新干预措施的例子,无法在传统的随机对照试验中进行评估。但是观察性设计具有公认的局限性,因此我们现在可以使用的现代干预和试验类型应该得到更广泛的应用和进一步发展。这些方法包括阶梯式楔形设计、即时适应性干预(JITAIs,有时被称为“绝地武士”)、(顺序)多随机试验和“小数据”方法。随着创新干预措施的大规模推广,我们认为嵌入式评估应通过新型卫生技术评估(HTA)或卫生服务资助计划得到优先考虑,因为尽管缺乏随机对照试验数据,但它们和其他复杂干预措施最好在现实条件下进行研究需要新的——最好是合作解决全球不平等问题——资金流,例如英国国家卫生研究所最近提出的针对不同人群采取不同研究方法的倡议只有这样,才能提供真正的多样性,以促进强有力的医疗体系变革,疫情已经证明我们需要这种变革。因此,我们建议HTA机构和其他利益相关者积极努力,扩大其工具和融资途径。在这次讨论中,有人提出了一种“有12瓣的价值之花”,以拓宽对构成医疗保健价值的因素的看法,11在已确立的质量调整寿命年、净成本、生产率和坚持改进因素之外,还提出了八种新的评估:减少不确定性、对传染的恐惧、保险价值、疾病的严重性、希望的价值、实物期权价值、公平和科学溢出。除了这些建议之外,我们认为我们应该致力于建立一个整体模型,借鉴马斯洛的需求层次12和恩格尔的生物心理社会模型13。显然,正如我们在上期关于教育的社论中所阐述的那样,患者参与在这里也很关键,医疗保健的五大目标:良好的结果、患者和临床医生的满意度、成本效益和教育价值也是判断研究的标准。综上所述,这些模式提醒我们,我们还有很长的路要走,但多样性和包容性有力量和弹性,这可能就是NIHR出于自己的原因推荐同样方法的原因。马斯洛是一位很有影响力的心理学思想家。1943年,他提出了需求层次理论,1966年,他提出了“马斯洛之锤”。我们应该明确地从马斯洛那里汲取灵感,从过去吸取教训,通过使用更多样化的研究设计并使其整体化,为未来做准备。
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