Integrative oncology in cancer care - implementation factors: mixed-methods systematic review.

BACKGROUND: Integrative oncology (IO) appears to be beneficial to patients with cancer, but its implementation remains a challenge. Guided by the Theoretical Domains Framework (TDF) and the Capability-Opportunity-Motivation-Behaviour (COM-B) model, this systematic review identified the barriers to and facilitators of IO implementation in conventional cancer care settings. METHODS: We searched eight electronic databases from their inception until February 2022 for qualitative, quantitative or mixed-methods empirical studies reporting the implementation outcomes for IO services. Critical appraisal approach was tailored according to study types. The identified implementation barriers and facilitators were mapped onto TDF domains and the COM-B model, and subsequently onto the behavioural change wheel (BCW) for formulating behavioural change interventions. RESULTS: We included 28 studies (11 qualitative, 6 quantitative, 9 mixed-methods and 2 Delphi studies) of satisfied methodological quality. The main implementation barriers were the lack of IO knowledge, the absence of funding and healthcare professionals' low level of IO receptiveness. The key implementation facilitators were the dissemination of evidence on IO clinical benefits, the equipping of professionals with IO service delivery skills and the provision of a supportive organisational climate. CONCLUSION: Multifaceted implementation strategies are needed to address the determinants influencing IO service delivery. Based on our BCW-based analysis of the included studies, the key behavioural change techniques are: (1) educating healthcare professionals about the value and application of traditional and complementary medicine; (2) ensuring access to actionable clinical evidence on IO effectiveness and safety and (3) designing guidelines on communicating traditional and complementary medicine interventions with patients and caregivers for biomedically trained doctors and nurses.

Prevalence, Patterns, and Clinical Severity of Long COVID among Chinese Medicine Telemedicine Service Users: Preliminary Results from a Cross-Sectional Study.

INTRODUCTION: The emergence and persistence of symptoms after acute COVID-19 is expected to become a major burden on healthcare systems. We assessed the features of the post-COVID-19 Syndrome (Long COVID) burden in a cohort of COVID-19 patients during the fifth major wave in Hong Kong. METHODS: A cross-sectional study of 135 patients with confirmed COVID-19 from Feb to Apr 2022 who utilized traditional Chinese medicine telemedicine services was conducted. The COVID-19 Yorkshire Rehabilitation Scale was administered using an online survey 12 weeks after the COVID-19 infection. Prevalence of symptom severity and functional impairments were assessed to identify burdens and patterns. The correlation between symptom severity, functional impairments, patient characteristics, and overall health was evaluated. RESULTS: The mean age was 46.8 years, with 46 (34.1%) males. Symptoms, functional impairments, and overall health worsened significantly when compared to the status prior to the infection. More than 50% reported the following sequelae 12 weeks after the acute infection: breathlessness, laryngeal or airway complications, fatigue, weakness, sleep, cognition, and anxiety. The presence of a single symptom or functional impairment significantly correlated with at least seven other problems positively, except for pain. Severity tended to be higher among vulnerable groups, including those who were chronic disease patients, older, less well educated, female, or had incomplete COVID-19 vaccinations. CONCLUSIONS: Long COVID is a significant healthcare burden among telemedicine users in Hong Kong, with complex needs for symptom and functional impairment management. Designing relevant health and rehabilitation services tailored to the needs of these patients is warranted.

Implementation science in traditional, complementary and integrative medicine: An overview of experiences from China and the United States.

BACKGROUND: The introduction of traditional, complementary and integrative medicine (TCIM) services into health systems has been advocated by the World Health Organization, but there is a paucity of reviews synthesising the experiences of (i) implementing TCIM services in conventional healthcare settings and (ii) introducing evidence-based practice in TCIM. Knowledge of the first issue will assist policymakers to innovate implementation interventions in their own health system contexts. Addressing the second issue will facilitate the closure of the evidence-practice gap in TCIM and improve the translation of research evidence into health outcome benefits. PURPOSE: The aim of this study was to identify, describe and analyse publications on these two key TCIM policy issues via an overview from an implementation science perspective. METHODS: Publications describing international experiences of implementing TCIM services or evidence for TCIM practices were identified by searching MEDLINE, EMBASE and Global Health databases in November 2021. The findings were summarised using a narrative synthesis approach. RESULTS: Sixty-three relevant publications were included in the analysis. Current experiences in China and the United Sates (US) reflect varying policy priorities at different stages of implementing TCIM services. In the US, where TCIM have yet to be introduced into mainstream healthcare settings, implementation interventions were designed to facilitate the provision of specific, evidence-based TCIM modalities via referrals from conventional clinicians. The application of these strategies at the health system, regulatory, financial, community, provider and patient levels provided a comprehensive picture of how TCIM implementation may be facilitated via multi-level interventions. In China, the major form of TCIM is traditional Chinese medicine (TCM), for which service provision has already been adopted at all levels of healthcare. With the high volume of clinical research that has been generated in the past several decades, a key policy question at this stage is how to translate TCM-related clinical evidence into practice. The development of clinical practice guidelines (CPGs) is the main implementation intervention, but adherence by TCM clinicians has been poor, due to the conflict between classical individualised practice and CPG standardisation. While tailoring interventions to facilitate CPG uptake is indicated, concurrent innovations in TCM clinical research methods would improve the compatibility between classical and CPG-based practice. CONCLUSION: Policymakers managing different stages of TCIM implementation will benefit from the experiences of practitioners in the US and China. Multi-level implementation interventions launched in the US provide ideas for the initial introduction of TCIM into a conventional medicine-dominated health system. As TCIM service provision and related clinical research become more common, China's experience will inform how clinical evidence related to TCIM may be disseminated and implemented to improve service quality.

Quantification of prevalence, clinical characteristics, co-existence, and geographic variations of traditional Chinese medicine diagnostic patterns via latent tree analysis-based differentiation rules among functional dyspepsia patients.

BACKGROUND: Traditional Chinese Medicine (TCM) treatment strategies are guided by pattern differentiation, as documented in the eleventh edition of the International Classification of Diseases (ICD). However, no standards for pattern differentiation are proposed to ensure inter-rater agreement. Without standardisation, research on associations between TCM diagnostic patterns, clinical features, and geographical characteristics is also not feasible. This diagnostic cross-sectional study aimed to (i) establish the pattern differentiation rules of functional dyspepsia (FD) using latent tree analysis (LTA); (ii) compare the prevalence of diagnostic patterns in Hong Kong and Hunan; (iii) discover the co-existence of diagnostic patterns; and (iv) reveal the associations between diagnostic patterns and FD common comorbidities. METHODS: A total of 250 and 150 participants with FD consecutively sampled in Hong Kong and Hunan, respectively, completed a questionnaire on TCM clinical features. LTA was performed to reveal TCM diagnostic patterns of FD and derive relevant pattern differentiation rules. Multivariate regression analyses were performed to quantify correlations between different diagnostic patterns and between diagnostic patterns and clinical and geographical variables. RESULTS: At least one TCM diagnostic pattern was differentiated in 70.7%, 73.6%, and 64.0% of the participants in the overall (n = 400), Hong Kong (n = 250), and Hunan (n = 150) samples, respectively, using the eight pattern differentiation rules derived. 52.7% to 59.6% of the participants were diagnosed with two or more diagnostic patterns. Cold-heat complex (59.8%) and spleen-stomach dampness-heat (77.1%) were the most prevalent diagnostic patterns in Hong Kong and Hunan, respectively. Spleen-stomach deficiency cold was highly likely to co-exist with spleen-stomach qi deficiency (adjusted odds ratio (AOR): 53.23; 95% confidence interval (CI): 21.77 to 130.16). Participants with severe anxiety tended to have liver qi invading the stomach (AOR: 1.20; 95% CI: 1.08 to 1.33). CONCLUSIONS: Future updates of the ICD, textbooks, and guidelines should emphasise the importance of clinical and geographical variations in TCM diagnosis. Location-specific pattern differentiation rules should be derived from local data using LTA. In future, patients' pattern differentiation results, local prevalence of TCM diagnostic patterns, and corresponding TCM treatment choices should be accessible to practitioners on online clinical decision support systems to streamline service delivery.

Latent tree analysis for the identification and differentiation of evidence-based Traditional Chinese Medicine diagnostic patterns: A primer for clinicians.

BACKGROUND: A supplementary chapter on the diagnostic patterns of Traditional Medicine, including Traditional Chinese Medicine (TCM), was introduced into the latest edition of the International Classification of Diseases (ICD-11). However, evidence-based rules are yet to be developed for pattern differentiation in patients with specific conventional medicine diagnoses. Without such standardised rules, the level of diagnostic agreement amongst practitioners is unsatisfactory. This may reduce the reliability of practice and the generalisability of clinical research. PURPOSE: Using cross-sectional study data from patients with functional dyspepsia, we reviewed and illustrated a quantitative approach that combines TCM expertise and computer algorithmic capacity, namely latent tree analysis (LTA), to establish score-based pattern differentiation rules. REVIEW OF METHODS: LTA consists of six major steps: (i) the development of a TCM clinical feature questionnaire; (ii) statistical pattern discovery; (iii) statistical pattern interpretation; (iv) TCM diagnostic pattern identification; (v) TCM diagnostic pattern quantification; and (vi) TCM diagnostic pattern differentiation. Step (i) involves the development of a comprehensive questionnaire covering all essential TCM clinical features of the disease of interest via a systematic review. Step (ii) to (iv) required input from TCM experts, with the algorithmic capacity provided by Lantern, a dedicated software for TCM LTA. MOTIVATIONAL EXAMPLE TO ILLUSTRATE THE METHODS: LTA is used to quantify the diagnostic importance of various clinical features in each TCM diagnostic pattern in terms of mutual information and cumulative information coverage. LTA is also capable of deriving score-based differentiation rules for each TCM diagnostic pattern, with each clinical feature being provided with a numerical score for its presence. Subsequently, a summative threshold is generated to allow pattern differentiation. If the total score of a patient exceeded the threshold, the patient was diagnosed with that particular TCM diagnostic pattern. CONCLUSIONS: LTA is a quantitative approach to improving the inter-rater reliability of TCM diagnosis and addressing the current lack of objectivity in the ICD-11. Future research should focus on how diagnostic information should be coupled with effectiveness evidence derived from network meta-analysis. This will enable the development of an implementable diagnostics-to-treatment scheme for further evaluation. If successful, this scheme will transform TCM practice in an evidence-based manner, while preserving the validity of the model.

Patients' perceptions on non-specific effects of acupuncture: Qualitative comparison between responders and non-responders.

BACKGROUND: Non-specific effect of acupuncture constitutes part of the overall effect generated via clinical encounter beyond needle insertion and stimulation. It is unclear how responders and non-responders of acupuncture experience non-specific effects differently. We aimed to compare their experiences in a nested qualitative study embedded in an acupuncture randomized trial on functional dyspepsia. METHODS: Purposive sampling was used to capture experience of responders (n=15) and non-responders (n=15) to acupuncture via individual in-depth interviews. Design and analysis followed a framework analysis approach, with reference to an existing model on acupuncture non-specific effects. Themes emerging outside of this model were purposefully explored. RESULTS: Responders had a more trusting relationship with acupuncturist in response to their expression of empathy. In turn they were more actively engaged in lifestyle modifications and dietary advice offered by acupuncturists. Non-responders were not satisfied with the level of reassurance regarding acupuncture safety. They were also expecting more peer support from fellow participants, regarded that as an empowerment process for initiating and sustaining lifestyle changes. CONCLUSIONS: Our results highlighted key differences in acupuncture non-specific effect components experienced by responders and non-responders. Positive non-specific effects contributing to overall benefits could be enhanced by emphasizing on empathy expression from acupuncturists, trust-building, offering appropriate explanations on safety, and organizing patient support groups. Further research on the relative importance of each component is warranted.