Home-Based Self-Management After Permanent Pacemaker Implantation: What Should Patients Know
Bibliographic record
Abstract
Objective: The purpose of this study is to systematically explore and summarize the best evidence of home-based self-management in patients with permanent pacemaker implantation, providing comprehensive references and guidance for improving the self-management ability of such patients. Methods: Using the "6S" model, a systematic literature search was conducted on home-based self-management in patients with permanent pacemaker implantation. The types of literature included best practice, clinical decision-making, guidelines, expert consensus, systematic review and evidence summary. According to the inclusion and exclusion criteria, two researchers screened the literature, evaluated the quality, extracted the data, synthesized the evidence. Data Sources: BMJ Best Practice, Up To Date, Joanna Briggs Institute (JBI), the World Health Organization (WHO), the Guidelines International Network (GIN), the National Institute for Health and Care Excellence (NICE), the Registered Nurses Association of Ontario (RNAO), the Scottish Intercollegiate Guidelines Network (SIGN), the American Heart Association (AHA), the Cochrane Library, PubMed, CINAHL, Web of Science, Medlive, CNKI Database, SinoMed (China Biomedical Literature Database), Wanfang Database and VIP Database. The retrieval period spanned from the establishment of these databases until January 31, 2025. Results: A total of 21 articles were included, 1 best practice, 9 clinical decision-making, 5 guidelines, 3 expert consensus, 1 systematic review, and 2 evidence summaries. Thirty-five pieces of the best evidence from 7 aspects were summarized, including complication management, electromagnetic interference management, sports rehabilitation management, operative limb management, postoperative follow-up management, role management, and emotional management. Conclusion: This review comprehensively summarized the best evidence home-based self-management in patients with permanent pacemaker implantation. These findings are scientific and referential, and provide evidence-based support for nursing and management of patients during home-based rehabilitation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".