Defining the Supportive Care Needs and Psychological Morbidity of Patients With Functioning Versus Nonfunctioning Neuroendocrine Tumors: Protocol for a Phase 1 Trial of a Nurse-Led Online and Phone-Based Intervention
Bibliographic record
Abstract
BACKGROUND: Online information resources and support have been demonstrated to positively influence the well-being of people diagnosed with cancer. This has been explored in past literature for more common cancers; however, for rare cancers, such as neuroendocrine tumors (NETs), there are little to no support or resources available. Despite relatively good prognoses, the quality of life (QoL) of patients with NETs is significantly lower compared with samples of mixed cancer patients and the general population. Patients with NETs also typically report unclear and difficult pathways of disease management and treatment, given the heterogeneity of the diagnosis. There is a vital need to improve the availability of disease-specific information for this patient group and provide supportive care that is tailored to the unique needs of the NET patient population. OBJECTIVE: This study described the protocol of a study aimed to better understand the outcomes and experiences of patients diagnosed with NETs and to develop and pilot test a nurse-led online and phone-based intervention that will provide tailored supportive care targeted to NET subgroups (functioning vs nonfunctioning). METHODS: This is a multisite cohort with 3 phases, incorporating both quantitative and qualitative data collection. Phase 1 is a mixed methods prospective cohort study of NET patients identifying differences in patient experiences and priority of needs between NET subgroups. Phase 2 utilizes results from phase 1 to develop an online and nurse-led phone-based intervention. Phase 3 is to pilot test and evaluate the intervention's acceptability, appropriateness, and feasibility. RESULTS: Currently, the project is progressing through phase 1 and has completed recruitment. A total of 138 participants have been recruited to the study. To date, patient-reported outcome data from 123 participants at baseline and 87 participants at 6-month follow-up have been collected. Of these, qualitative data from semistructured interviews from 35 participants have also been obtained. Phase 2 and phase 3 of the project are yet to be completed. CONCLUSIONS: Limited research for patients with NETs suggests that QoL and patient experiences are significantly impaired compared with the general population. Furthermore, past research has failed to delineate how the clinical variability between those with functioning and nonfunctioning NETs impacts patient supportive care needs. This study will improve on the availability of disease-specific information as well as informing the design of a nurse-led online and phone-based supportive care intervention tailored for the unique needs of the NET patient population. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/14361.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".