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Record W2791770202 · doi:10.1111/ecc.12816

A new year - and there's plenty in store for EJCC readers!

2018· editorial· en· W2791770202 on OpenAlexaboutno aff
David Weller

Bibliographic record

VenueEuropean Journal of Cancer Care · 2018
Typeeditorial
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePsychosocialDistressAnxietyCompetence (human resources)Health careFamily medicinePsychiatryClinical psychologyPsychologySocial psychology

Abstract

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I hope all our readers have had a very happy festive season. The journal is going through an exciting period of change, with the recruitment of several new associate editors and plans to make our journal as “author friendly” as possible with a renewed commitment to rapid turnaround times and high-quality feedback on papers. We will also be announcing our themes for the following 12 months in our March 2018 issue. The January edition of EJCC is, once again, packed full of interest. I wanted to emphasise some papers in three important areas: (1) experiences of caregivers and family members of patients with cancer, (2) emerging models for better integrated care of cancer patients and (3) fear of recurrence amongst cancer survivors. Lehto, Aromaa, and Tammela (2018) have undertaken a questionnaire survey of spouses of prostate cancer patients. At the time of diagnosis and primary treatment, the survey explored levels of psychological distress; many respondents reported distressing experiences and a range of psychological symptoms. Shock, fear of death and impact of side effects were commonly expressed—importantly, distress was relieved by emotional support from healthcare providers along with appropriate levels of information. Bergkvist, Larsen, Johansson, Mattsson, and Fossum (2018) examined levels of psychosocial support for families to alleviate anxiety. Appropriate and measured support from healthcare professionals (and levels of competence) were critical in addressing these psychological symptoms. Teskereci and Kulakac (2018) examined the experiences of caregivers of women with gynaecological cancers. This mixed methods systematic review identified important categories of response amongst caregivers—including emotional devastation, change and coping. A more profound understanding of emotions of caregivers would be helpful in supporting this vital group of people—these emotions can have a profound impact on a range of cancer outcomes. Maguire, Hanly, Hyland, and Sharp (2018) examined the burden placed on caregivers of survivors of colorectal cancer. They identified a number of important patient and caregiver characteristics which predicted the caregiver experience and highlighted ways that the burden of caring might be reduced. Turning to integrated care issues, Koné, Klein, Siebenhofer, Dahlhaus, and Güthlin (2018) examined the level of cooperation between GPs and other healthcare providers in Germany. In common with other studies, they found that communication and adequate information transfer between different healthcare sectors were associated with overall satisfaction; cancer care can often be disaggregated, and primary care is often “left out of the loop” in important cancer decisions. More studies such as this are needed to help identify ways of improving integration of care. Integration is also important for palliative care; Pellizzari et al. (2018) examined integrated cancer palliative care (ICPC) plans in Italian patients. Interestingly, they found that the intensity of ICPC plans had a close correlation with care outcomes, including place of death and number of hospitalisations. The authors advocate wider use of ICPCs in routine practice. Lim, Shon, and Yang (2018) examine healthcare providers’ perceptions of cancer survivorship care models in South Korea. Their qualitative study examined a range of issues that Korean cancer survivors commonly face including the absence of multidisciplinary care approaches, fragmented services, lack of emotional support, lack of shared care, poor communication between physicians and cancer survivors, limited resources and a lack of tailoring of cancer survivorship services. The authors produce some interesting suggestions around organisation of care services to alleviate some of these difficulties. Patient navigators are also widely advocated as a strategy to improve experiences of patients with cancer. Indigenous populations in countries such as Canada and Australia have particularly acute problems when it comes to integrate cancer care. Patient navigator programmes appear to show promise in these populations, and Bernardes et al. (2018) highlight several strategies in using these approaches. They include recognition of collective bonds within indigenous communities, adaptation of existing skills for use in indigenous populations and the requirement for very innovative and highly flexible patient navigator strategies to accommodate the variability and challenges in these indigenous communities. Finally, fear of recurrence is a common issue amongst cancer survivors, and we have two interesting papers in this issue of the journal addressing the topic. Both papers emphasise the frequency of this emotion amongst cancer survivors and the variety of ways that fear is expressed. Dumalaon-Canaria, Prichard, Hutchinson, and Wilson (2018) emphasise the importance of perceived control over factors which might be associated with cancer or cancer recurrence and encourage health professionals to understand this process of attribution—and be particularly aware of patients attributing cancer to non-modifiable causes; when causes are perceived in this way, they are more likely to generate anxiety. Ozakinci, Swash, Humphris, Rogers, and Hulbert-Williams (2018) investigate how head and neck cancer survivors express fear of cancer recurrence. They suggest that patients may feel reluctant to raise their fear of recurrence with their care provider for fear of appearing ungrateful or hurting a relationship which they find very valuable. They advocate that healthcare providers should actually initiate discussions about fear of recurrence to overcome these challenges. So, as usual, there is plenty of interest for our readers. I would like to thank everyone who submitted papers to our journal in 2017—and our loyal readership. I should also acknowledge our wonderful team of associate editors and editorial board; their efforts are greatly appreciated. All the very best for 2018 and thank you for your ongoing support of our journal.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.206
Threshold uncertainty score0.623

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.077
GPT teacher head0.416
Teacher spread0.340 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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