Lauren C. Heathcote

Bio: Lauren C. Heathcote is an academic researcher from Stanford University. The author has contributed to research in topics: Chronic pain & Medicine. The author has an hindex of 19, co-authored 65 publications receiving 1600 citations. Previous affiliations of Lauren C. Heathcote include University College London & University of Oxford.

Systematic Review and Meta-Analysis of Psychological Therapies for Children With Chronic Pain

Abstract: Objectives This systematic review and meta-analysis examined the effects of psychological therapies for management of chronic pain in children. Methods Randomized controlled trials of psychological interventions treating children (<18 years) with chronic pain conditions including headache, abdominal, musculoskeletal, or neuropathic pain were searched for. Pain symptoms, disability, depression, anxiety, and sleep outcomes were extracted. Risk of bias was assessed and quality of the evidence was rated using GRADE. Results 35 included studies revealed that across all chronic pain conditions, psychological interventions reduced pain symptoms and disability posttreatment. Individual pain conditions were analyzed separately. Sleep outcomes were not reported in any trials. Optimal dose of treatment was explored. For headache pain, higher treatment dose led to greater reductions in pain. No effect of dosage was found for other chronic pain conditions. Conclusions Evidence for psychological therapies treating chronic pain is promising. Recommendations for clinical practice and research are presented.

Is Empathy for Pain Unique in Its Neural Correlates? A Meta-Analysis of Neuroimaging Studies of Empathy.

Abstract: Empathy is an essential component of our social lives, allowing us to understand and share other people's affective and sensory states, including pain. Evidence suggests a core neural network-including anterior insula (AI) and mid-cingulate cortex (MCC)-is involved in empathy for pain. However, a similar network is associated to empathy for non-pain affective states, raising the question whether empathy for pain is unique in its neural correlates. Furthermore, it is yet unclear whether neural correlates converge across different stimuli and paradigms that evoke pain-empathy. We performed a coordinate-based activation likelihood estimation (ALE) meta-analysis to identify neural correlates of empathy, assess commonalities and differences between empathy for pain and for non-pain negative affective states, and differences between pain-empathy evoking stimuli (i.e., facial pain expressions vs. acute pain inflictions) and paradigms (i.e., perceptual/affective vs. cognitive/evaluative paradigms). Following a systematic search, data from 128 functional brain imaging studies presenting whole-brain results of an empathy condition vs. baseline/neutral condition were extracted. Synthesizing neural correlates of empathy confirmed a core network comprising AI, MCC, postcentral gyrus, inferior parietal lobe, thalamus, amygdala, and brainstem. There was considerable overlap in networks for empathy for pain and empathy for non-pain negative affective states. Important differences also arose: empathy for pain uniquely activated bilateral mid-insula and more extensive MCC. Regarding stimuli, painful faces and acute pain inflictions both evoked the core empathy regions, although acute pain inflictions activated additional regions including medial frontal and parietal cortex. Regarding paradigms, both perceptual/affective and cognitive/evaluative paradigms recruited similar neural circuitry, although cognitive/evaluative paradigms activated more left MCC regions while perceptual/affective paradigms activated more right AI. Taken together, our findings reveal that empathy for pain and empathy for non-pain negative affective states share considerable neural correlates, particularly in core empathy regions AI and MCC. Beyond these regions, important differences emerged, limiting generalizability of findings across different affective/sensory states. Within pain-empathy studies, the core regions were recruited robustly irrespective of stimuli or instructions, allowing one to tailor designs according to specific needs to some extent, while ensuring activation of core regions.

Assessment of Pain Anxiety, Pain Catastrophizing, and Fear of Pain in Children and Adolescents With Chronic Pain: A Systematic Review and Meta-Analysis.

Abstract: Objective To conduct a systematic review of pain anxiety, pain catastrophizing, and fear of pain measures psychometrically established in youth with chronic pain. The review addresses three specific aims: (1) to identify measures used in youth with chronic pain, summarizing their content, psychometric properties, and use; (2) to use evidence-based assessment criteria to rate each measure according to the Society of Pediatric Psychology (SPP) guidelines; (3) to pool data across studies for meta-analysis of shared variance in psychometric performance in relation to the primary outcomes of pain intensity, disability, generalized anxiety, and depression. Methods We searched Medline, Embase, PsycINFO, and relevant literature for possible studies to include. We identified measures studied in youth with chronic pain that assessed pain anxiety, pain catastrophizing, or fear of pain and extracted the item-level content. Study and participant characteristics, and correlation data were extracted for summary and meta-analysis, and measures were rated using the SPP evidence-based assessment criteria. Results Fifty-four studies (84 papers) met the inclusion criteria, including seven relevant measures: one assessed pain anxiety, three pain catastrophizing, and three fear of pain. Overall, five measures were rated as "well established." We conducted meta-analyses on four measures with available data. We found significant positive correlations with the variables pain intensity, disability, generalized anxiety, and depression. Conclusion Seven measures are available to assess pain anxiety, pain catastrophizing, and fear of pain in young people with chronic pain, and most are well established. We present implications for practice and directions for future research.

Pain Neuroscience Education: State of the Art and Application in Pediatrics

Abstract: Chronic pain is a widespread problem in the field of pediatrics. Many interventions to ameliorate pain-related dysfunction have a biobehavioral focus. As treatments for chronic pain (e.g., increased movement) often stand in stark contrast to treatments for an acute injury (e.g., rest), providing a solid rationale for treatment is necessary to gain patient and parent buy-in. Most pain treatment interventions incorporate psychoeducation, or pain neuroscience education (PNE), as an essential component, and in some cases, as a stand-alone approach. The current topical review focuses on the state of pain neuroscience education and its application to pediatric chronic pain. As very little research has examined pain neuroscience education in pediatrics, we aim to describe this emerging area and catalyze further work on this important topic. As the present literature has generally focused on adults with chronic pain, pain neuroscience education merits further attention in the realm of pediatric pain in order to be tailored and implemented in this population.

Pain and cancer survival: a cognitive-affective model of symptom appraisal and the uncertain threat of disease recurrence.

Abstract: Forty years ago, three quarters of adults and children diagnosed with cancer died. Today, almost half of adults and three quarters of children survive. Survival, however, is rarely psychologically simple. Life after cancer can be characterised by an altered relationship with bodily perception: in particular an anxious uncertainty about the meaning of new or recurrent sensations such as pain. Cancer survival is an altered context in which pain can make one fear the worst. To date, research on the experience of pain in cancer survival has existed largely within a biological frame. That is, pain is studied as the result of tissue damage from the cancer itself or from surgery, chemotherapy, or radiotherapy. Yet, if there is one inescapable fact of pain science it is that tissue damagecannot alone explain pain andpainrelated behaviour. In this review, we discuss the threat associated with pain in cancer survival specifically how one manages the inherent uncertainty of pain as a potential symptom of cancer recurrence.We recognise that theword “survivor” is contentious; and here,we principally use “survival” to identify the post-treatment disease-free stage that individuals experience. We introduce a cognitive-affective model of pain appraisal and experience applied to a survival context, stressing both the clinical and research opportunities it provides.

Using Multivariate Statistics

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Applied Longitudinal Data Analysis Modeling Change And Event Occurrence

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Applied Missing Data Analysis

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Statistical Parametric Mapping The Analysis Of Functional Brain Images

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An introduction to implementation science for the non-specialist

Abstract: The movement of evidence-based practices (EBPs) into routine clinical usage is not spontaneous, but requires focused efforts. The field of implementation science has developed to facilitate the spread of EBPs, including both psychosocial and medical interventions for mental and physical health concerns. The authors aim to introduce implementation science principles to non-specialist investigators, administrators, and policymakers seeking to become familiar with this emerging field. This introduction is based on published literature and the authors’ experience as researchers in the field, as well as extensive service as implementation science grant reviewers. Implementation science is “the scientific study of methods to promote the systematic uptake of research findings and other EBPs into routine practice, and, hence, to improve the quality and effectiveness of health services.” Implementation science is distinct from, but shares characteristics with, both quality improvement and dissemination methods. Implementation studies can be either assess naturalistic variability or measure change in response to planned intervention. Implementation studies typically employ mixed quantitative-qualitative designs, identifying factors that impact uptake across multiple levels, including patient, provider, clinic, facility, organization, and often the broader community and policy environment. Accordingly, implementation science requires a solid grounding in theory and the involvement of trans-disciplinary research teams. The business case for implementation science is clear: As healthcare systems work under increasingly dynamic and resource-constrained conditions, evidence-based strategies are essential in order to ensure that research investments maximize healthcare value and improve public health. Implementation science plays a critical role in supporting these efforts.