Nephrologists’ Attitudes Regarding Psychosocial Care in Hemodialysis Units
Bibliographic record
Abstract
BACKGROUND: There is a high prevalence of psychosocial issues affecting patients with kidney failure. OBJECTIVE: We sought to examine Canadian nephrologists' attitudes and opinions regarding the importance of renal patient psychosocial care, nephrologists' roles, and experience with psychosocial care in addition to what barriers, if any, prevent these physicians from providing psychosocial care to their patients. DESIGN: A self-administered, survey questionnaire. SETTING: Online. SAMPLE: Canadian Society of Nephrology members who predominantly work in clinical care with adult, in-center hemodialysis patients. MEASUREMENTS: Measurements of the survey include demographics, training, and nephrologists' opinions regarding their role in administering psychosocial care, potential administrative and patient time constraints, accessibility of other health care workers for this activity, and factors that influence or impede physicians' ability to address their patients' psychosocial needs. METHODS: A self-administered survey was sent to almost 500 members of the Canadian Society of Nephrology between November 2018 and December 2018. The survey questionnaire was designed to gather opinions and attitudes on psychosocial care delivery as well as potential influencing factors on nephrologists' ability to provide this care. A univariate statistical analysis was used to analyze survey responses. RESULTS: A total of 30 nephrologists responded to the survey, generating a 6% response rate. Respondents varied across provinces, with the majority being staff nephrologists (80%). While over 94% of respondents either agreed or strongly agreed that focus on psychosocial care improves patient outcomes, only 43% felt that staff nephrologists were suited to provide this care to patients; 97% of respondents believed social workers to be the most suited to provide this. Lack of additional supporting health care members, the need for additional training, too many administrative duties, and empathy fatigue were some of the predominant barriers respondents felt prevented them from addressing the psychosocial care of their patients. LIMITATIONS: A low response rate for the survey was obtained, roughly 6%, limiting our ability to draw definitive conclusions. Survey answers by respondents may be different from those by nonrespondents. Answers may be subject to social desirability and/or selection bias. CONCLUSION: Nephrologists believe that the current psychosocial care of patients in hemodialysis units is inadequate. However, further research is necessary to elucidate the barriers nephrologists face in providing psychosocial care and the changes required to most effectively implement optimal psychosocial care for patients with kidney failure in hemodialysis units.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".