ArticleBMC health services research2014
You'll know when you're ready: a qualitative study exploring how patients decide when the time is right for joint replacement surgery.
Article in BMC health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06292663 (Can Preoperative Information Via Virtual Reality Affect Patient's Anxiety? A Randomized Controlled Trial and Patient Interviews), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Can Preoperative Information Via Virtual Reality Affect Patient's Anxiety? A Randomized Controlled Trial and Patient Interviews
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- What Is Important to the Younger Person (≤50 Years) When Having a Total Hip Arthroplasty: A Systematic Literature Review.Orthopedic nursingPooled it
- Surgical Readiness to Inform Nursing Leadership and Perioperative Management: A Concept Analysis.Nursing open · 2026Review
- What factors impact patients' decision to undergo shoulder surgery and subjective feeling of recovery?JSES reviews, reports, and techniques · 2025Article
- Young Hip: an exploration into young patients' (aged < 50 years) expectations following primary total hip arthroplasty : a qualitative study.Bone & joint open · 2025Article
- Understanding the experience of the mothers' ability to take care of their preterm infants related to in-hospital and post-discharge: a qualitative content analysis.BMC pediatrics · 2025Article
- Article
- A synthesis of qualitative research to understand the complexity behind treatment decision-making for osteoarthritis.Osteoarthritis and cartilage open · 2023Article
- Patients' perspectives on the benefits of feedback on patient-reported outcome measures in a web-based personalized decision report for hip and knee osteoarthritis.BMC musculoskeletal disorders · 2022Article
- A Patient and Public Involvement Study to Explore the Need for Further Research into the Experience of Younger Patients Undergoing Total Hip Arthroplasty.Journal of patient experience · 2022Article
- Revision Shoulder Hemiarthroplasty and Total Shoulder Arthroplasty A Systematic Review and Meta-Analysis.Journal of shoulder and elbow arthroplasty · 2022Review
- Validation of a second-generation appropriateness classification system for total knee arthroplasty: a prospective cohort study.Journal of orthopaedic surgery and research · 2021Article
- Current Status and Future Prospects for Shared Decision Making Before and After Total Knee Replacement Surgery-A Scoping Review.International journal of environmental research and public health · 2021Article
- Which disease-related factors influence patients' and physicians' willingness to consider joint replacement in hip and knee OA? Results of a questionnaire survey linked to claims data.BMC musculoskeletal disorders · 2020Article
- Article
- What is the current evidence of the impact on quality of life whilst waiting for management/treatment of orthopaedic/musculoskeletal complaints? A systematic scoping review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018Article
- Impact of total knee replacement practice: cost effectiveness analysis of data from the Osteoarthritis Initiative.BMJ (Clinical research ed.) · 2017Article
- The importance of informational, clinical and personal support in patient experience with total knee replacement: a qualitative investigation.BMC musculoskeletal disorders · 2017Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundWhile some studies have identified patient readiness as a key component in their decision whether to have total joint replacement surgery (TJR), none have examined how patients determine their readiness for surgery. The study purpose was to explore the concept of patient readiness and describe the factors patients consider when assessing their readiness for TJR.
methodsNine focus groups (4 pre-surgery, 5 post-surgery) were held in four Canadian cities. Participants had been either referred to or seen by an orthopaedic surgeon for TJR or had undergone TJR. The method of analysis was qualitative thematic analysis.
resultsThere were 65 participants, 66% female and 34% male, 80% urban, with an average age of 65 years (SD 10). Readiness reflected both the surgeon's advice that the patient was clinically ready for surgery and the patient's feeling that they were both mentally and physically ready for surgery. Mental readiness was described as an internal state or feeling of being ready or prepared while physical readiness was described as being physically fit and in good shape for surgery. Factors associated with readiness included: 1) pain: its severity, the ability to cope with it, and how it affected their quality of life; 2) mental preparation; 3) physical preparation; 4) the optimal timing of surgery, including age, anticipated rate of deterioration, prosthesis lifespan and the length of the waiting list.
conclusionsPatient readiness should be assessed prior to TJR. By assessing patient readiness, health professionals can elucidate and deal with concerns and fears, understand and calibrate expectations, assess coping strategies, and use this information to help determine optimal timing, both before and after the surgical consultation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.