Redesigning Primary Care: The Emergence of Artificial-Intelligence-Driven Symptom Diagnostic Tools

Modern healthcare is facing a juxtaposition of increasing patient demands owing to an aging population and a decreasing general practitioner workforce, leading to strained access to primary care. The coronavirus disease 2019 pandemic has emphasized the potential for alternative consultation methods, highlighting opportunities to minimize unnecessary care. This article discusses the role of artificial-intelligence-driven symptom checkers, particularly their efficiency, utility, and challenges in primary care. Based on a study conducted in Italian general practices, insights from both physicians and patients were gathered regarding this emergent technology, highlighting differences in perceived utility, user satisfaction, and potential challenges. While symptom checkers are seen as potential tools for addressing healthcare challenges, concerns regarding their accuracy and the potential for misdiagnosis persist. Patients generally viewed them positively, valuing their ease of use and the empowerment they provide in managing health. However, some general practitioners perceive these tools as challenges to their expertise. This article proposes that artificial-intelligence-based symptom checkers can optimize medical-history taking for the benefit of both general practitioners and patients, with potential enhancements in complex diagnostic tasks rather than routine diagnoses. It underscores the importance of carefully integrating digital innovations while preserving the essential human touch in healthcare. Symptom checkers offer promising solutions; ensuring their accuracy, reliability, and effective integration into primary care requires rigorous research, clinical guidance, and an understanding of varied user perceptions. Collaboration among technologists, clinicians, and patients is paramount for the successful evolution of digital tools in healthcare.

Validation of Bengali version of Edmonton Symptom Assessment Scale-Revised (ESAS-r Bengali): A multidimensional symptom assessment tool for patients with advanced incurable diseases receiving palliative care

Objective

Routine symptom assessment represents the cornerstone of symptom management of patients with advanced incurable diseases in palliative care. At present, there is no validated tool to assess symptoms among the Bengali-speaking population with incurable diseases. The aim of the study is to translate, culturally adapt, and validate the Edmonton Symptom Assessment Scale (Revised) into Bengali language.

Methods

The study was conducted in two phases. Forward and backward translations of the English version of the Edmonton Symptom Assessment Scale (Revised) into Bengali were conducted by four independent translators. After obtaining reviews from an expert committee, pre-testing and cognitive debriefing the Bengali version of the tool was finalized. The final validation was conducted among 110 patients admitted to the Palliative Medicine Department of Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh. Validity (content, face, and construct validity) and reliability (internal consistency) were assessed in the final validation phase.

Result

All participants responded to all items. Seventy percent of the participants completely understood all questions but 30% had difficulty with three questions. The expert committee expressed their satisfaction regarding the face and content validity of the questionnaire. The Bengali version also had high reliability (α = 0.862). Principal component analysis with the distribution of varimax rotation of Edmonton Symptom Assessment Scale (Revised) Bengali ranged from 0.41 to 0.83.

Conclusion

After the translation and cross-cultural adaptation, the Bengali version of the Edmonton Symptom Assessment Scale (Revised) achieved good levels of validity and reliability. It can be used as a symptom assessment tool for Bengali speaking population receiving palliative care.

Implementation of Patient Reported Outcomes in Outpatient Palliative Care: From Paper to Computer

BACKGROUND

This quality improvement project aimed to transition completion of Edmonton Symptom Assessment System (ESAS) at our supportive care clinic from paper to electronic format.

MEASURES

Proportion of patients who completed electronic ESAS (eESAS).

INTERVENTION

Starting July 2018, patients could complete eESAS 24h before check-in (eESAS-before), eESAS after check-in (eESAS-after) or on paper (pESAS).

OUTCOMES

A total of 6631 cancer patients had 25,767 clinic visits between July 13, 2018 and November 5, 2021. The ESAS completion rate was 100%. eESAS uptake gradually increased over time, first reaching ≥75% eESAS completion in 5/2019 (eESAS-after 61.9%; eESAS-before 14.0%; pESAS 24.1%). We observed a sharp uptake in eESAS-before since adoption of telehealth during the pandemic (May 2020) and the ≥75% eESAS target was consistently achieved from November 2020 onwards (eESAS-after 0.6%; eESAS-before 76.7%; pESAS 22.7%). In an anonymous survey, we identified several modifiable barriers to implementing eESAS.

CONCLUSIONS

Transition to eESAS was a gradual process and was catalyzed by the pandemic.

Statistical Comparison Between Interview Questions and Rating Scales in Psychiatry

Background

Psychiatric evaluations consist of both qualitative questions and quantitative assessments, sometimes questioning the same issue. The present study attempts to investigate the statistical equivalency of several close-ended questions of a procedural psychiatric examination and rating scales addressing a similar problem.

Methods

The current retrospective analysis included 314 patients who made their first visit to a private psychiatry clinic. Subjects underwent a routine psychiatric examination, including close-ended questions and related clinical scales. Questions included sleep and sexual problems, problems in marriage, parent relationship problems, and childhood abuse. The related psychiatric scales were Jenkins Sleep Scale, Arizona Sexual Experience Scale, Dyadic Adjustment Scale, and Childhood Trauma Questionnaire, respectively. First, receiver operating curve analysis was conducted for each yes/no question and clinical scale. Then, area under curve sensitivity and specificity values were calculated. Multinomial logistic regression analysis was also performed to observe paired predictor variables.

Results

Among clinical questionnaires, the receiver operating curve model provided good area under curve values as prediction criteria for Dyadic Adjustment Scale (0.78; P < .001), Childhood Trauma Questionnaire (0.74; P < .001), Childhood Trauma Questionnaire-physical abuse (0.826; P < .001), Childhood Trauma Questionnaire-sexual abuse (0.828; P < .001), Arizona Sexual Experience Scale (0.796; P < .001), and Jenkins Sleep Scale (0.920; P < .001). Multinomial logistic regression models also revealed good correct classification values for Dyadic Adjustment Scale-Childhood Trauma Questionnaire (61%), Childhood Trauma Questionnaire-Physical abuse-Childhood Trauma Questionnaire-Sexual abuse (87.6%), and Arizona Sexual Experience Scale-Jenkins Sleep Scale (67%).

Conclusion

When the symptoms are investigated in general terms, the present study reveals that an experienced clinician could rely on clinical questions as much as the quantitative scales in both clinical and research domains.

Differences among fathers, mothers, and teachers in symptom assessment of ADHD patients

Background

The Swanson Nolan, and Pelham scale version IV (SNAP-IV) is the most critical tool for ADHD screening and diagnosis, which has two scoring methods. ADHD requires symptom assessment in multiple scenarios, and parent and teacher reports are indispensable for diagnosing ADHD. But the differences of assessment results from fathers, mothers and teachers, and the consistency of results from different scoring methods are unknown. Therefore, we carried out this study to understand the differences in the scores of fathers, mothers and teachers using SNAP-IV for children with ADHD and to explore the differences in scoring results under different scoring methods.

Methods

The SNAP-IV scale and Demographics Questionnaire and Familiarity Index were used to survey fathers, mothers and head teachers. Measurement data are expressed as the mean ± standard deviation (x ± s). The enumeration data were described by frequency and percentage. ANOVA was used to compare group differences in mothers', fathers', and teachers' mean SNAP-IV scores. The Bonferroni method was used for post hoc multiple comparison tests. Cochran's Q test was used to compare the differences in the abnormal rate of SNAP-IV score results of mothers, fathers and teachers. Dunn's test was used for post hoc multiple comparison tests.

Results

There were differences in scores among the three groups, and the differences showed inconsistent trends across the different subscales. Differences between groups were calculated again with familiarity as a control variable. The results showed the familiarity of parents and teachers with the patients did not affect the differences in their scores. The evaluation results were different under two assessment methods.

Conclusion

Results concluded that fathers did not appear to be an appropriate candidate for evaluation. When using the SNAP-V for assessment, it should be comprehensively considered from both the scorer and symptom dimensions.

Psychometric Values of a New Scale: The Rett Syndrome Fear of Movement Scale (RSFMS)

(1) Background: One of the characteristics associated with Rett syndrome (RTT) is a fear of movement (FOM). Despite the grave consequences on health, function, and the caregiver's burden associated with bradykinesia accompanying FOM, there is no specific FOM assessment tool for RTT. (2) Objective: To construct and assess the psychometric values of a scale evaluating FOM in RTT (Rett syndrome fear of movement scale-RSFMS). (3) Methods: Twenty-five girls aged 5-33, including a research group (N = 12 individuals with RTT) and control group (N = 13 typically developing girls at equivalent ages). The Pain and Discomfort Scale (PADS) and Facial Action Coding System (FACS) assessed the participants' behavior and facial expressions in rest and movement situations. (4) Results: Significant behavioral differences were recorded in these rest and movement situations within the research groups using the RSFMS (p = 0.003), FACS (p = 0.002) and PADS (p = 0.002). No differences in reactions were found within the control group. The new scale, RSFMS, was found to show a high inter- and intra-rater reliability (r = 0.993, p < 0.001; r = 0.958, p < 0.001; respectively), good internal consistency (α = 0.77), and high accuracy (94.4%). (5) Conclusions: The new scale for measuring FOM in RTT, the RSFMS, was validated using the FACS and PADS. The RSFMS was found to be a tool that holds excellent psychometric values. The new scale can help clinicians working with individuals with RTT to plan appropriate management strategies for this population.

The amyotrophic lateral sclerosis-health index (ALS-HI): development and evaluation of a novel outcome measure

Objective: The identification of effective therapeutics for ALS necessitates valid and responsive outcome measures to track disease progression and therapeutic gain in clinical trial settings. The Amyotrophic Lateral Sclerosis-Health Index (ALS-HI) is a multifaceted, disease-specific patient-reported outcome measure (PRO) designed to measure ALS symptomatic disease burden in adults with ALS. Methods: Through a national cross-sectional study of individuals with ALS, we identified the most important symptoms in ALS. These symptoms were incorporated into the ALS-HI, a measure that quantifies the multifaceted disease burden in ALS. We performed factor analysis, qualitative patient interviews, test-retest reliability assessment, and known groups analysis to evaluate and validate the ALS-HI. Results: The cross-sectional study included 497 participants with ALS who identified the most important symptoms to include in the ALS-HI. Fifteen participants beta tested the ALS-HI and found it to be clear, easy to use, and relevant. Twenty-one participants engaged in a test-retest reliability study, which indicated the reliability of the instrument (intraclass correlation coefficient = 0.952 for full instrument). The final ALS-HI and its subscales demonstrated a high internal consistency (Cronbach's α = 0.981 for full instrument) and an ability to differentiate between groups with dissimilar disease severity. Conclusions: This research supports use of the ALS-HI as a valid, sensitive, reliable, and relevant PRO to assess the multifactorial disease burden faced by adults with ALS. The ALS-HI has potential as a mechanism to track disease progression and treatment efficacy during therapeutic trials.

Cancer Patients' Satisfaction with In-Home Palliative Care and Its Impact on Disease Symptoms

The aim of the study was to determine whether the satisfaction of cancer patients with in-home palliative care is associated with the impact of disease symptoms and with self-perceived quality of life. This was a cross-sectional descriptive study, conducted in the primary health care sector in six clinical management units, where 72 patients were recruited over a period of six months. The severity of symptoms was determined by the Edmonton Symptom Assessment System (ESAS). Quality of life was evaluated with the EORTC QLQ-C30 (version 3) questionnaire, and patients' satisfaction with the care received was evaluated by the Client Satisfaction Questionnaire (CSQ-8). The patients' satisfaction with the health care received was represented by an average score of 6, on a scale of 1-10; thus, there is room for improvement in patient satisfaction. Moreover, it was found that more intense symptoms and lower quality of life are associated with lower satisfaction with health care received (p = 0.001). Similarly, when symptoms are more severe, the quality of life is lower (p < 0.001). The identification of fatigue, reduced well-being, pain, drowsiness, and depression as the symptoms experienced with the highest intensity by our patients provides valuable information for health care providers in developing individualized symptom management plans for patients with advanced cancer.

Understanding persistent breathlessness: Impact on patients and optimal approaches to symptomatic reduction - an overview

INTRODUCTION

Persistent breathlessness (breathlessness persisting despite optimal treatment for the underlying condition and resulting in disability) is a prevalent syndrome associated with chronic and life-limiting conditions. Improving the clinical recognition and assessment of persistent breathlessness is essential to ensure people are provided with the best treatment for optimal symptom control.

AREAS COVERED

This overview focuses on the impact of persistent breathlessness on patients, carers and the health system. It highlights the importance of identifying persistent breathlessness in clinical consultations, suggests steps to recognise this syndrome and discusses the evidence for non-pharmacological and pharmacological treatments in this context. Future research directions are also suggested.

EXPERT OPINION

Persistent breathlessness is often invisible because 1) people may not engage with the health system and 2) both clinicians and patients are reluctant to discuss breathlessness in clinical consultations. Improving the recognition and assessment of this syndrome is critical to facilitate meaningful conversations between patients and clinicians and ensure patient-centred care. Non-pharmacological strategies are key to improving symptom management and health outcomes. Regular, low-dose, sustained-release morphine may help further reduce breathlessness in people who remain symptomatic despite disease-specific and non-pharmacological therapies.

Symptom Assessment for Mechanically Ventilated Patients: Principles and Priorities: An Official American Thoracic Society Workshop Report

Mechanically ventilated patients experience many adverse symptoms, such as anxiety, thirst, and dyspnea. However, these common symptoms are not included in practice guideline recommendations for routine assessment of mechanically ventilated patients. An American Thoracic Society-sponsored workshop with researchers and clinicians with expertise in critical care and symptom management was convened for a discussion of symptom assessment in mechanically ventilated patients. Members included nurses, physicians, a respiratory therapist, a speech-language pathologist, a critical care pharmacist, and a former intensive care unit patient. This report summarizes existing evidence and consensus among workshop participants regarding 1) symptoms that should be considered for routine assessment of adult patients receiving mechanical ventilation; 2) key symptom assessment principles; 3) strategies that support symptom assessment in nonvocal patients; and 4) areas for future clinical practice development and research. Systematic patient-centered assessment of multiple symptoms has great potential to minimize patient distress and improve the patient experience. A culture shift is necessary to promote ongoing holistic symptom assessment with valid and reliable instruments. This report represents our workgroup consensus on symptom assessment for mechanically ventilated patients. Future work should address how holistic, patient-centered symptom assessment can be embedded into clinical practice.

Profiles of Work and Quality of Life among Young Adult Cancer Survivors

Work ability, or the perception of one's ability to work presently and in the future, may impact quality of life (QOL) among young adult (YA) cancer survivors. Through a convergent mixed methods design, we explored work ability, work-related goals, and QOL among YA hematologic cancer survivors within five years of diagnosis. We described associations at the individual- and microsystem (work)- levels; and compared factors across low and high work ability groups. Participants (N = 40) completed a survey and interview via digital platforms. Qualitative analysis revealed self-assessed declines in work ability led to questioning work-related goals and influenced QOL. Integrated analysis led to the development of four profiles, growing our understanding of work's influence on QOL for YA cancer survivors, and identifying components YAs considered when contemplating work-related goals after a cancer diagnosis. Larger studies are needed to elucidate these profiles and identify modifiable factors to inform targeted interventions to improve QOL.

Longitudinal analysis of the Non-Motor Symptoms Scale in Parkinson's Disease (NMSS): An exploratory network analysis approach

Introduction

Parkinson's disease (PD) is a multisystem neurodegenerative disorder characterized by motor and non-motor symptoms. In particular, non-motor symptoms have become increasingly relevant to disease progression. This study aimed to reveal which non-motor symptoms have the highest impact on the complex interacting system of various non-motor symptoms and to determine the progression of these interactions over time.

Methods

We performed exploratory network analyses of 499 patients with PD from the Cohort of Patients with Parkinson's Disease in Spain study, who had Non-Motor Symptoms Scale in Parkinson's Disease ratings obtained at baseline and a 2-year follow-up. Patients were aged between 30 and 75 years and had no dementia. The strength centrality measures were determined using the extended Bayesian information criterion and the least absolute shrinkage and selection operator. A network comparison test was conducted for the longitudinal analyses.

Results

Our study revealed that the depressive symptoms anhedonia and feeling sad had the strongest impact on the overall pattern of non-motor symptoms in PD. Although several non-motor symptoms increase in intensity over time, their complex interacting networks remain stable.

Conclusion

Our results suggest that anhedonia and feeling sad are influential non-motor symptoms in the network and, thus, are promising targets for interventions as they are closely linked to other non-motor symptoms.

Development of a keyword library for capturing PRO-CTCAE-focused "symptom talk" in oncology conversations

Objectives

As computational methods for detecting symptoms can help us better attend to patient suffering, the objectives of this study were to develop and evaluate the performance of a natural language processing keyword library for detecting symptom talk, and to describe symptom communication within our dataset to generate insights for future model building.

Materials and Methods

This was a secondary analysis of 121 transcribed outpatient oncology conversations from the Communication in Oncologist-Patient Encounters trial. Through an iterative process of identifying symptom expressions via inductive and deductive techniques, we generated a library of keywords relevant to the Patient-Reported Outcome version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) framework from 90 conversations, and tested the library on 31 additional transcripts. To contextualize symptom expressions and the nature of misclassifications, we qualitatively analyzed 450 mislabeled and properly labeled symptom-positive turns.

Results

The final library, comprising 1320 terms, identified symptom talk among conversation turns with an F1 of 0.82 against a PRO-CTCAE-focused gold standard, and an F1 of 0.61 against a broad gold standard. Qualitative observations suggest that physical symptoms are more easily detected than psychological symptoms (eg, anxiety), and ambiguity persists throughout symptom communication.

Discussion

This rudimentary keyword library captures most PRO-CTCAE-focused symptom talk, but the ambiguity of symptom speech limits the utility of rule-based methods alone, and limits to generalizability must be considered.

Conclusion

Our findings highlight opportunities for more advanced computational models to detect symptom expressions from transcribed clinical conversations. Future improvements in speech-to-text could enable real-time detection at scale.

Dolutegravir in real life: Self-reported mental and physical health outcomes after transitioning from efavirenz- to dolutegravir-based antiretroviral therapy in a prospective cohort study in Lesotho

INTRODUCTION

HIV programmes across many countries in Africa have recently transitioned people living with HIV from efavirenz (EFV)- to dolutegravir (DTG)-containing antiretroviral therapy (ART). As both drugs are associated with neuropsychiatric adverse effects, this study assessed the mental health and HIV/ART-associated symptoms of people living with HIV before and after transition to DTG.

METHODS

The prospective DO-REAL cohort enrolled people starting DTG-based ART in Lesotho from February to December 2020. For this analysis within DO-REAL, we included adults changing from tenofovir disoproxil fumarate (TDF)/lamivudine (3TC)/EFV to TDF/3TC/DTG within first-line therapy. At transition and 16 weeks thereafter, participants completed the Patient Health Questionnaire-9 (PHQ-9; depression screening), the 12-item Short-Form Health Survey (SF-12; mental and physical health), and a modified HIV Symptom Index (mHSI; HIV/ART-related symptoms). We also assessed weight change. We used McNemar tests with Bonferroni corrections to assess binary outcomes.

CLINICALTRIALS

gov: NCT04238767.

RESULTS

Among 1228 participants, 1131 completed follow-up. Of these, 60.0% were female, the median age was 46 years (interquartile range [IQR] 38-55), and the median time taking ART was 5.7 years (IQR 3.5-8.9). No change was observed for weight or overall PHQ-9 or SF-12 outcomes. However, three mHSI items decreased at follow-up: 'feeling sad/down/depressed' (bothered 6.0% vs. 3.3% of participants at least 'a little' before vs. after transition; adjusted p = 0.048); 'feeling nervous/anxious' (7.4% vs. 3.4%; adjusted p = 0.0009); and 'nightmares, strange/vivid dreams' (6.3% vs. 3.5%; adjusted p = 0.027). Individual PHQ-9 or SF-12 items also improved. Being symptom free across all measures increased from 5.1% to 11.4% (p < 0.0001).

CONCLUSIONS

We observed no negative impacts and potential moderate improvements with DTG, providing further support for the rollout of DTG.

Associations between postprandial symptoms, hydrogen and methane production, and transit time in irritable bowel syndrome

BACKGROUND

Abnormal oroanal transit time (OATT) and visceral hypersensitivity are key pathophysiological factors in irritable bowel syndrome (IBS). The lactulose nutrient challenge test (LNCT) has been developed to assess the postprandial symptoms and gut microbial fermentation. We aimed to investigate associations between OATT, rectal sensitivity, and LNCT in IBS patients.

METHODS

We included 263 IBS patients from two study cohorts, where the link between pathophysiology and symptoms was investigated. During the LNCT, severity of postprandial symptoms was graded, and breath hydrogen/methane concentrations were measured after ingestion of a combined lactulose nutrient drink every 15 min for 4 h. The patients underwent rectal sensitivity (rectal barostat) and OATT (radiopaque markers) investigations. Comorbid conditions (functional dyspepsia, anxiety, depression, and somatization) were assessed with questionnaires.

KEY RESULTS

After controlling for comorbid conditions, rectal sensitivity was associated with abdominal pain (p < 0.05), and more rapid OATT was associated with higher severity of abdominal discomfort, rumbling, nausea, and urgency (p < 0.05 for all) both pre- and post-prandially. Postprandial nausea, urgency, and abdominal pain changed differently over time depending on OATT (p < 0.05 for all). OATT, but not rectal sensitivity, was associated with hydrogen and methane concentrations (p = 0.002 for both). Trajectories over time of postprandial symptoms and exhaled hydrogen/methane concentrations were correlated with different correlations depending on OATT.

CONCLUSION AND INFERENCES

This study highlights the importance of oroanal transit and hydrogen and methane production in the pathophysiology of IBS and increases our understanding of pathophysiological factors involved in postprandial symptom generation. Treatments targeting oroanal transit and hydrogen and methane production may improve specific postprandial symptoms.

Sensibility Comparison in Reduction Mammoplasties: Is Superomedial or Inferior Pedicle Better?

Background Breast reduction (BR) techniques have evolved tremendously since their introduction. However, a comparison of these techniques has yet to clarify the best choice or whether there is only one choice. This study aims to contribute to this research by retrospectively comparing the missing points of superomedial (SM) and inferior (INF) pedicle techniques. Methodology A total of 93 patients underwent surgery for gigantomastia with SM or INF. Demographic data, surgery details, and postoperative course data were obtained using the sixth-month two-point static discrimination test (TPD) of breasts. Patients were divided into SM and INF groups and statistically analyzed for differences in TPD and breast attributes, including suprasternal notch-to-nipple distance, ptosis grade, age, smoking history, parity, and body mass index. Results Intergroup analysis revealed significant differences between the SM and INF groups in TPD, with mean values of 21.03 ± 4.28 and 33.39 ± 6.91, respectively. The correlations between TPD results were tested, and only ptosis grades 2-4 and right suprasternal notch-nipple-areolar complex (NAC) distance were related. Conclusions The SM technique has better sensibility because the distance for transposition of the NAC to the newly designated position is shorter.

A Diagnostic Test Accuracy Study Investigating General Practitioner Clinical Impression and Brief Cognitive Assessments for Dementia in Primary Care, Compared to Specialized Assessment

BACKGROUND

Many health systems are interested in increasing the number of uncomplicated and typical dementia diagnoses that are made in primary care, but the comparative accuracy of tests is unknown.

OBJECTIVE

Calculate diagnostic accuracy of brief cognitive tests in primary care.

METHODS

We did a diagnostic test accuracy study in general practice, in people over 70 years who had consulted their GP with cognitive symptoms but had no prior diagnosis of dementia. The reference standard was specialist assessment, adjudicated for difficult cases, according to ICD-10. We assessed 16 index tests at a research clinic, and additionally analyzed referring GPs clinical judgement.

RESULTS

240 participants had a median age of 80 years, of whom 126 were men and 132 had dementia. Sensitivity of individual tests at the recommended thresholds ranged from 56% for GP judgement (specificity 89%) to 100% for MoCA (specificity 16%). Specificity of individual tests ranged from 4% for Sniffin' sticks (sensitivity 100%) to 91% for Timed Up and Go (sensitivity 23%). The 95% centile of test duration in people with dementia ranged from 3 minutes for 6CIT and Time and Change, to 16 minutes for MoCA. Combining tests with GP judgement increased test specificity and decreased sensitivity: e.g., MoCA with GP Judgement had specificity 87% and sensitivity 55%.

CONCLUSIONS

Using GP judgement to inform selection of tests was an efficient strategy. Using IQCODE in people who GPs judge as having dementia and 6CIT in people who GPs judge as having no dementia, would be a time-efficient and accurate diagnostic assessment.The original protocol for the study is available at https://bmcfampract.biomedcentral.com/articles/10.1186/s12875-016-0475-2.

Symptom clusters, associated factors and health-related quality of life in patients with chronic obstructive pulmonary disease: A structural equation modelling analysis

AIMS AND OBJECTIVES

To identify symptom clusters and develop a symptom cluster model among people living with chronic obstructive pulmonary disease (COPD).

BACKGROUND

The examination of symptom clusters in COPD patients is an emerging field of scientific inquiry directed towards symptom management. However, no studies have modelled the relationships among symptom clusters, associated factors and health-related quality of life.

DESIGN

A cross-sectional design with convenience sampling following STROBE guidelines.

METHODS

Data were collected from 450 COPD participants in three university teaching hospitals. Participants were invited to complete a structured questionnaire comprised of a socio-demographic/clinical questionnaire, Integrated Palliative Care Outcome Scale and Clinical Respiratory Questionnaire. Exploratory factor analysis and confirmatory factor analysis were used to identify symptom clusters. Structural equation modelling was used to examine the proposed model.

RESULTS

The respiratory related symptom cluster, psychological symptom cluster and cough-insomnia related symptom cluster were identified. The final model demonstrated a good fit with the data. Gender, stage of disease and monthly income were significant factors associated with symptom clusters. Respiratory related and cough-insomnia related symptom clusters had a direct negative impact on health-related quality of life, while the psychological symptom cluster was found to have a direct and indirect negative effect on health-related quality of life.

CONCLUSIONS

Final COPD symptom cluster model should serve as a framework to guide intervention research targeting symptom clusters to improve health-related quality of life of people living with COPD.

RELEVANCE TO CLINICAL PRACTICE

Nurses should be especially attuned to identify those at most risk of facing a higher symptom burden in this case those who are female, have advanced stage COPD and/or lower income. During the clinical symptom assessment, nurses should pay attention to the close relationships among symptoms within a cluster to identify any 'trigger' symptom that could cause the development or exacerbation of other symptoms.

Rating Dyspnea and Pain: "No" is Not Always "Zero"

Nurses routinely assess pain in hospitalized patients; similar assessment of dyspnea is increasing. Most nurses start with a yes-no question when assessing pain or dyspnea; many record "no" as a zero rating, skipping the rating scale. We tested the hypothesis that recording "no" answers as "zero" fails to detect the symptoms that would have been detected with a rating scale. Nurses asked 60 patients yes-no questions about the presence of dyspnea and pain, then asked patients to rate the symptoms using a 0-10 scale. All "yes" answers were followed by a concordant rating (i.e., greater than zero). More than 25% of "no" answers were followed by a discordant rating (> zero). Documenting "no" as "zero" missed information potentially useful in care planning; patients who rate dyspnea above zero are at greater risk of adverse outcomes. This information can also provide opportunity to start a discussion with patients who may benefit from symptom management.

Using video consultations for clinical assessment and decision of treatment readiness before chemotherapy: A mixed-methods study among patients with gastrointestinal cancer and oncology nurses

Objective

To investigate the feasibility of clinical assessment and decision of treatment readiness before chemotherapy using video consultations, as perceived by gastrointestinal cancer patients and oncology nurses. In addition, to estimate reductions in travel time for patients and environmental carbon dioxide (CO2) emissions.

Methods

In a mixed-method study, patients with gastrointestinal cancer who participated in at least one video consultation during April-October 2019 completed a questionnaire on socioeconomic status, time and kilometers saved on travel. Kilometers saved were converted into reduced CO2 emissions. Descriptive statistics were used for analysis. Patients (n = 15) participated in semi-structured individual interviews, and five oncology nurses participated in a focus group interview.

Results

A total of 84/119 patients (71%) consented to video consultation and responded to the questionnaire. 69% were male, with a mean age of 66 years. For 46% of patients, a video consultation saved more than an hour of travel time. Avoiding a median travel distance of 120 km per patient (range, 2-450 km) reduced CO2 emissions by 7018 lb. Video consultations had other positive effects on patients, including avoiding waiting rooms, having more energy, and experiencing more focused interactions with nurses. Technical issues occurred rarely. Nurses found technical issues more troublesome, sometimes precluding complete assessments. They reported a need to rethink nursing practice to effectively provide care during video consultations.

Conclusions

Video consultations reduced CO2 emissions. In addition, they were beneficial for patients with gastrointestinal cancer. However, providing an optimal clinical assessment and decision of treatment readiness before chemotherapy requires testing patient equipment, technical skills and new oncology nursing competencies.

Basic assessment of chronic cough in primary care and referral pathways of patients to different specialists

BACKGROUND

Chronic cough (CC; cough that lasts 8 weeks or longer) poses major effective assessment challenges. Assessment of CC may vary considerably among medical specialists.

OBJECTIVES

The aim was to evaluate similarities and consistency of responses across different specialists when performing a basic assessment of CC patients in primary care, and referring patients based on clinical findings or test results.

METHODS

A modified Delphi approach was used. A survey with 74 statements on initial assessment of CC and referral pathways was addressed to a panel of different specialists, who voted the statements in two rounds.

RESULTS

Seventy-seven physicians [18 primary care physicians (PCPs), 24 pulmonologists, 22 allergists, and 13 ear, nose, and throat specialists] from the National Healthcare System of Spain answered the questionnaire. After two rounds, the panel reached a consensus on 63 out of the 74 proposed items (85.1%). Consensus was not reached among the panelists of at least one specialty on 15 out of these 63 agreed items. The panel agreed on those clinical aspects that should be evaluated by PCPs in all patients with CC including the impact of CC on quality of life. Agreement was reached on initial actions to be taken in primary care, including substitution of drugs that may induce cough, performing a chest X-ray, introduction of anti-reflux measures, initiation of empirical anti-reflux pharmacological therapy in some cases, and performing a spirometry with bronchodilator test and hemogram if an etiological diagnosis was not reached. The panelists agreed on a list of diseases that PCPs should assess before referring CC patients. Algorithms were developed for initial assessment and targeted referral of patients with CC from primary care.

CONCLUSION

This study provides the perspective of different medical specialists on how to perform a basic assessment of CC patients in primary care and how and when to refer patients to other specialists.

What are the most important symptoms to assess in hypermobile Ehlers-Danlos syndrome? A questionnaire study based on the Delphi technique

PURPOSE

This study aims to determine from questionnaires, submitted to patients with Ehlers-Danlos syndrome hypermobile type (hEDS), what symptoms they perceive as having the most impact on their well-being and, according to them, what symptoms should be assessed.

MATERIALS AND METHODS

Three rounds of online questionnaires were conducted following the Delphi method. The first round allowed us to obtain the most important symptoms to assess according to the patients. The second and third round aimed at ranking the categories according to their order of importance. Establishment of a consensus was evaluated using Kendall's coefficient of concordance.

RESULTS

A total of 118 responses were analyzed for the first round and 87 for the second and the third round. Ten categories were extracted from the first round. Ranking of the 10 categories in the second round did not reach consensus (W = 0.33, p < 0.001) nor did the four most important categories in the third round (W = 0.43, p < 0.001). However, three categories stand out from ranking: "pain", "fatigue and sleep disorders", and "musculoskeletal disorders".

CONCLUSIONS

These categories seem to be the most important to assess in patients with hEDS, despite the lack of consensus on this ranking.Implications for rehabilitationPain, fatigue and sleep disorders, and musculoskeletal disorders should be given high consideration in the assessment of patients with hypermobile Ehlers-Danlos syndrome (EDS).The high phenotypic variability in the hypermobile EDS requires individualized assessment for each patient and a multidisciplinary approach.

Sara Alert: An automated symptom monitoring tool for COVID-19 in 11 jurisdictions in the United States, June - August, 2021

OBJECTIVES

Health department personnel conduct daily active symptom monitoring for persons potentially exposed to SARS-CoV-2. This can be resource-intensive. Automation and digital tools can improve efficiency. We describe use of a digital tool, Sara Alert, for automated daily symptom monitoring across multiple public health jurisdictions.

METHODS

Eleven of the 20 U.S. public health jurisdictions using Sara Alert provided average daily activity data during June 29 to August 30, 2021. Data elements included demographics, communication preferences, timeliness of symptom monitoring initiation, responsiveness to daily messages, and reports of symptoms.

RESULTS

Participating jurisdictions served a U.S. population of over 22 million persons. Health department personnel used this digital tool to monitor more than 12,000 persons per day on average for COVID-19 symptoms. On average, monitoring began 3.9 days following last exposure and was conducted for an average of 5.7 days. Monitored persons were frequently < 18 years old (45%, 5,474/12,450) and preferred communication via text message (47%). Seventy-four percent of monitored persons responded to at least one daily automated symptom message.

CONCLUSIONS

In our geographically diverse sample, we found that use of an automated digital tool might improve public health capacity for daily symptom monitoring, allowing staff to focus their time on interventions for persons most at risk or in need of support. Future work should include identifying jurisdictional successes and challenges implementing digital tools; the effectiveness of digital tools in identifying symptomatic individuals, ensuring appropriate isolation, and testing to disrupt transmission; and impact on public health staff efficiency and program costs.

Psycho-Existential Symptom Assessment Scale (PeSAS) Screening in Palliative Care

CONTEXT

Psycho-existential symptoms are common yet often missed or neglected in palliative care. Screening can be an effective way to recognize and respond to this need.

OBJECTIVES

We aimed to implement routine use of the Psycho-existential Symptom Assessment Scale (PeSAS) as a screening tool in Australian palliative care services and discern the symptom prevalence identified.

METHODS

In a multi-site rolling design, we established implementation site committees and embarked on experiential workshops to train clinicians in the tool's efficient use. Patient symptom prevalence data were collected to compare uptake across sites. Descriptive statistics were applied.

RESULTS

Over one year, we trained 216 clinicians across six palliative care services in the use of the PeSAS as a screening tool and collected data from 1405 patients. Clinicians reported significant growth in their sense of efficacy in assessing psycho-existential wellness. Services using electronic records implemented most easily. Psycho-existential symptoms with clinically significant prevalence (scores ≥ 4/10) included anxiety 41.1%, discouragement 37.6%, hopelessness 35.8%, pointlessness 26.9%, depression 30.3%, and the wish to die 17%. The precision of measurement within 3% was found for severe ratings (score ≥ 8/10) including anxiety 10.6%, depression 10.2%, the wish to die 7.6%, and confusion 3.6%.

CONCLUSION

Clinicians can be trained to screen with the Psycho-existential Symptom Assessment Scale, which serves as a valuable measure to better recognize symptoms of psycho-existential distress among palliative care patients. Implementation barriers included the prior ethos of the service, confidence in talking about these themes, electronic data entry, and perceived time pressures.

Assessment of patient symptom burden and information needs helps tailoring palliative care consultations: An observational study

OBJECTIVE

The objective of this study is to study (1) the relationship between patient-reported symptom burden and information needs in hospital-based palliative care and (2) differences in patient-reported needs during the disease trajectory.

METHODS

Observational study: patient-reported symptom burden and information needs were collected via a conversation guide comprising assessment scales for 12 symptoms (0-10), the question which symptom has priority to be solved and a question prompt list on 75 palliative care-related items (35 topics, 40 questions). Non-parametric tests assessed associations.

RESULTS

Conversation guides were used by 266 patients. Median age was 65 years (IQ-range, 57-72), 49% were male and 96% had cancer. Patients reported highest burden for Fatigue (median = 7) and Loss of appetite (median = 6) and prioritised Pain (26%), Fatigue (9%) and Shortness of breath (9%). Patients wanted information about 1-38 (median = 14) items, mostly Fatigue (68%), Possibilities to manage future symptoms (68%) and Possible future symptoms (67%). Patients also wanted information about symptoms for which they reported low burden. Patients in the symptom-directed phase needed more information about hospice care.

CONCLUSION

Symptom burden and information needs are related. Patients often also want information about non-prioritised symptoms and other palliative care domains. Tailored information-provision includes inviting patients to also discuss topics they did not consider themselves.