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Record W2007828246 · doi:10.5737/1181912x244256263

A biopsychosocial approach to sexual recovery after prostate cancer treatment: Suggestions for oncology nursing practice

2014· article· en· W2007828246 on OpenAlexaffvenue
Lauren M. Walker, Andrea M. Beck, Amy J. D. Hampton, John W. Robinson

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsUniversity of ReginaUniversity of Calgary
Fundersnot available
KeywordsBiopsychosocial modelProstate cancerCompetence (human resources)MedicineErectile dysfunctionPatient educationNursingCancerPsychologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

In the past decade there has been a surge of literature documenting the impact of prostate cancer (PCa) treatment-induced erectile dysfunction (ED) on intimate relationships. While there have been significant advances in the treatment of ED, with phosphodiesterase inhibitors, vacuum erection devices and intracavernous injections, patients and their partners continue to struggle to finds ways to maintain enjoyable sexual activity. Only half of PCa patients are willing to try ED treatments, and less than half of those patients, who find ED treatments helpful in improving erectile function, will continue to use them long-term. While there are effective strategies that can be taught to patients for overcoming the barriers associated with the use of ED treatments, many patients struggle on their own with these challenges, become discouraged, and quickly give up. Nurses play a large role in patient education and counselling, both in preparing patients for PCa treatment, and in follow-up. Consequently, they are well positioned to play a significant part in promoting sexual recovery among PCa patients and, thus, increasing patients’ and partners’ experiences of success. Nurses are well versed in providing holistic biopsychosocial care, which is a much-needed approach to complement the use of biomedical ED treatments. We begin by providing suggestions for nurses to increase their competence in discussing, assessing and intervening in the area of sexual difficulties. We follow with specific suggestions, based on the PCa literature, to guide nurses in supporting patients receiving ED treatment. Guidance is offered regarding approaches to patient education that fosters the development of realistic treatment expectations. Not only should these suggestions help improve adherence to ED treatments, but they should also help patients think more broadly about the sexual recovery process, encouraging the development of goals in sexual recovery beyond restoration of erectile function. Flexibility in sexual practice is found to be a key in successful sexual renegotiation, therefore, non-penetrative sexual strategies—that are not dependent on erections—should be offered to patients, as a routine part of clinical practice. Additional suggestions regarding couple communication, persistence in the treatment process, and working through grief associated with sexual losses are also offered in addition to strategies for overcoming specific barriers such as loss of libido and demoralization associated with treatment failures. Key words: prostate cancer, erectile dysfunction, sexual adaptation, counselling, patient education

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.027
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0110.011
Scholarly communication0.0120.014
Open science0.0070.012
Research integrity0.0140.016
Insufficient payload (model declined to judge)0.0130.003

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 head0.046
GPT teacher head0.390
Teacher spread0.344 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations7
Published2014
Admission routes2
Has abstractyes

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