- Open Access
Protocol for systematic review: patient decision aids for total hip and knee arthroplasty decision-making
Systematic Reviews volume 10, Article number: 8 (2021)
Total hip and knee arthroplasty are a highly performed surgery; however, patient satisfaction with surgery results and patient involvement in the decision-making process remains low. Patient decision aids (PtDAs) are tools used in clinical practices to facilitate active patient involvement in healthcare decision-making. Nonetheless, PtDA effects have not been systematically evaluated for hip and knee total joint arthroplasty (TJA) decision-making. The aim of this systematic review is to determine the effect of patient decision aids compared to alternative of care on quality and process of decision-making when provided to adults with hip and knee osteoarthritis considering primary elective TJA.
This systematic review will follow the Cochrane Handbook for Systematic Reviews. This protocol was reported based on the PRISMA-P checklist guidelines. Studies will be searched in CINAHL, MEDLINE, Embase, PsycINFO, and Web of Science. Eligible studies will be randomized control trial (RCT) evaluating the effect of PtDA on TJA decision-making. Descriptive and meta-analysis of outcomes will include decision quality (knowledge and values-based choice), decisional conflict, patient involvement, decision-making process satisfaction, actual decision made, health outcomes, and harm(s). Risk of bias will be evaluated with Cochrane’s risk of bias tool for RCTs. Quality and strength of recommendations will be appraised with Grades of Recommendation, Assessment, Development and Evaluation (GRADE).
This review will provide a summary of RCT findings on PtDA effect on decision-making quality and process of adults with knee and hip osteoarthritis considering primary elective TJA. Further, it will provide evidence comparing different types of PtDA used for TJA decision-making. This review is expected to inform further research on joint replacement decision-making quality and processes and on ways PtDAs facilitate shared decision-making for orthopedic surgery.
Systematic review registration
Osteoarthritis (OA) is a leading cause of disability worldwide impacting health on an individual and population level [1, 2]. OA of the hip and knee is a highly prevalent disease in Canada affecting 38 to 45% of Canadians aged 50 years and older . Clinical guidelines for the management of OA recommend arthritis education, structured land-based exercise programs, and pharmacologic treatment [4, 5]. When conservative treatment fails to alleviate symptoms, total joint arthroplasty (TJA) is the recommended treatment [6, 7]. Nonetheless, TJA requires trading off benefits and risks as it is one treatment option amongst many others with no single “best” choice . TJA is an elective surgery and the third most performed inpatient surgery in Canada, with 58,492 total hip arthroplasty (THA) and 70,502 total knee arthroplasty (TKA) performed in 2018 . This represents a volume increase of 17.0% compared to 2013 . Similar trends are seen worldwide and numbers are expected to continue rising [10,11,12,13]. This phenomenon is concerning for healthcare systems considering the inpatient and outpatient resources needed for TJA procedure [9, 14, 15].
OA represents 80% of the reason for undergoing TJA and the majority of recipients are 65 years and older [9, 13, 16]. TJA has been shown to successfully reduce pain and improve function, mobility, and health-related quality of life for patients with severe OA [17,18,19,20]. Concurrently, there are potential harms associated with this surgery such as joint infection, venous thrombosis, cardiovascular complications, post-operative pain and stiffness, and life-threatening complications [21,22,23].
Twenty to 45% of joint arthroplasty are considered of questionable appropriateness , and 10 to 30% of patients are not satisfied with the outcomes [24,25,26,27]. The first factor contributing to these statistics is the limited evidence-based criteria for TJA appropriateness . Therefore, healthcare professionals and surgeons use their expert opinion in the decision-making process. However, studies have shown discrepancies between healthcare professional opinion and patient preferences [8, 28,29,30,31,32,33,34]. Additionally, many studies have shown insufficient information provided to patients [35, 36] and most patients have unrealistic outcome expectations [37, 38].
Involvement of patients in their healthcare decision is well documented to improve patient satisfaction, sense of control, health outcomes, treatment quality, and adherence, and reduce healthcare costs [39,40,41,42,43,44]. Shared decision-making (SDM) is a process actively including patients as partners in making healthcare decisions together with their clinician(s) and involves providing them evidence-based knowledge on options and discussion of their values and preferences [45,46,47]. A recent systematic review has demonstrated the effectiveness of SDM for elective surgery to improve decision quality and decrease decisional conflict .
To facilitate SDM, patient decision aids (PtDAs) are tools which can take many forms (pamphlets, videos, Internet-based) that can be used in the clinical encounter or in preparation for the clinical encounter. They support SDM by making the decision explicit and providing information about benefits, harms, and uncertainty of options. Furthermore, they also guide patients in values clarification to achieve agreement between features of the option chosen and personal values [49, 50]. Contrary to educational materials, PtDAs focuse on making explicit the decision, options, and associated outcomes and provides guidance on clarifying personal values . A Cochrane review including 105 studies and 31,043 individuals demonstrated that PtDAs improve decision quality (increasing patient knowledge, fostering more accurate expectations and risk perceptions, supporting clarification of what is important to patients, and helping patients choose the best option associated to their values) and decision-making process (promoting clinician-patient decision discussion, increasing patient participation in the decision-making process, decreasing decisional conflict, and promoting a positive healthcare experience) . Moreover, it was demonstrated that PtDAs used in the context of elective surgery, patients are less likely to choose surgery when they understand alternative options [48, 49, 51]. Further, PtDAs were shown to hold similar long-term cost and surgery rates compared to usual care , short-term cost saving , but unclear long-term cost-effective properties .
A recent systematic review exploring features and impact of SDM/PtDA interventions for knee arthritis TJA decision-making found that most trials did not include all key aspects of SDM . The authors recognized the need for future research to focus on assessing the effect of PtDAs and SDM on treatment decision, functional outcomes, and satisfaction .
With the proportion of seniors living in industrialized countries growing rapidly [54, 55], it is fundamental to improve current TJA decision-making processes that can lead to improved healthcare efficiency, better patient expectations, better patient and surgeon experiences, and reduced burden on the healthcare system. To date, no systematic review has focused on assessing the effect of PtDAs for adults with OA considering primary elective THA and TKA.
The aim of this systematic review is to determine the effect of patient decision aids compared to alternative of care on quality and process of decision-making when provided to adults with hip and knee osteoarthritis considering primary elective TJA. Specifically, objectives related to the quality of the decision and decision-making process are:
To evaluate the effect of PtDA on increasing patient decision quality including knowledge, and values-based choice for primary elective TJA decision-making
To evaluate the effect of PtDA on reducing decisional conflict and increasing patient participation for primary elective TJA decision-making
To compare the effect of different PtDAs on decision quality, decisional conflict, and patient participation
Objectives related to decision-making outcomes are:
To evaluate the effect of PtDA on increasing decisional satisfaction for primary elective TJA decision-making
To evaluate the effect of PtDA on the actual decision and health status for primary elective TJA decision-making
To evaluate the effect of PtDA on reducing harm for primary elective TJA decision-making
This protocol was guided by the Cochrane Handbook for Systematic Reviewer . This protocol was reported based on the Preferred Reporting Items for Systematic Review and Meta-analysis Protocols (PRISMA-P) checklist guidelines .
See Table 1 for the inclusion and exclusion criteria.
Eligible studies will involve adult patients considering primary elective THA and TKA as treatment for OA since this health problem is the primary reason for TJA [9, 13, 16]. Studies will be excluded if involving patients considering primary TJA secondary to trauma, emergency, revision, prosthesis replacement, and any other condition except for OA.
The intervention of interest is the use of any PtDA for patients suffering from OA having to make the decision to undergo primary TJA in any settings. As defined per the International Patient Decision Aids Standards (IPDAS) Collaboration , PtDAs are evidence-based tools developed to help patients make a decision while considering two or more healthcare options (including status quo). They are intended to provide information on options and help patients clarify their values associated with the different options. Decision aids are tools to supplement healthcare professional consultations [49, 58]. According to IPDAS , minimum criteria to be defined as a PtDA are (1) to make explicit that a decision has to be made, (2) helping patients to choose amongst options, (3) presentation of associated positive and negative outcome for each option, (4) outcomes presented are relevant to health status, (5) the tool should not favor any option, and (6) the tool needs to assist in personal values clarification. To ensure the quality of PtDAs, studies not providing information pertaining to the preceding criteria will be excluded if the corresponding author cannot provide the required information. Eligible studies will involve PtDA of any type (videos, pamphlets, Internet-based). Furthermore, interventions with patients exposed to a PtDA either before, during, or after consultations will be eligible since PtDAs support can be used in any of these time points . This systematic review will not focus on other SDM strategies.
Eligible studies will involve patients exposed to a PtDA compared to patients following alternative care, standard of care, or no intervention. This systematic review will consider studies comparing two different types of PtDA. TJA decision-making standard of care includes the use of general educational material  which provide condition information and associated usual treatment. Educational materials provide broad perspective, are not focus on decision elements, and do not actively prepare patients to be involved in the decision-making [49, 59]. Studies will be excluded if they compared PtDA with another SDM strategy (decision coaching).
Based on IPDAS criteria , primary outcomes related to the decision quality will be (a) knowledge assessed with Decision Quality Instrument (DQI)-Hip and Knee Osteoarthritis , or any other; and (b) values-based choice with patient reporting or any instrument. Primary outcomes related to the decision-making process will be (a) decisional conflict (defined as the uncertainty of choosing options) assessed with the SURE scale , Decisional Conflict Scale (DCS) , Decision Quality Instrument (DQI)-Hip and Knee Osteoarthritis , or any other; and (b) patient participation assessed with patient reporting or any other instrument. Secondary outcomes related to decision-making results will be (a) decisional satisfaction assessed with the Decision Attitude Scale  or any other, (b) actual decision made assessed with any scale, (c) health status (including quality of life and emotional health) evaluated with the EQ-5D  or any other, and (d) harm (including emotional distress) measured with the Decision Regret Scale , Kessler Psychological Distress Scale , or any other. To be eligible for inclusion, at least one of the outcomes must be reported.
Study types and others
For quality purposes, this systematic review will only include randomized control trials (RCTs). Eligible studies will be in all languages that can be translated and published before study inception.
Data sources and search strategy
This systematic review will include studies searched in the following electronic databases: CINAHL, MEDLINE, Embase, PsycINFO, and Web of Science. The search strategy was created by the first author (LPB) with the help of an expert medical librarian (MCD) using keywords and Medical Subject Headings (MeSH) terms related to THA, TKA, TJA, OA, PtDA, and SDM (see the Appendix for the MEDLINE full search strategy). The search strategy will be compared to the PRESS guidelines and modified accordingly . The search strategy will be adapted to the other databases with the help of an expert medical librarian. Reference lists of included studies will also be manually screened to ensure all eligible studies have been included by two independent reviewers (LPB and MC).
Data management and selection process
All search results will be imported to Zotero reference management software  and Covidence web-based platform for systematic review . After duplicate removal, study selection will be conducted by two independent reviewers (LPB and MC) in two phases using study eligibility criteria. The first phase will consist of screening titles and abstracts for potential eligible studies. All studies appearing eligible or unsure will be passed to the next phase. The second phase will consist of screening the full text of eligible studies. When full text is not available, corresponding authors will be contacted. Both reviewers will record the selection process in Covidence as well as associated justification for study exclusion. Divergences between reviewers will be discussed until consensus. A third reviewer (SP) will adjudge if no consensus is obtainable. Study selection will be illustrated in the final manuscript using the PRISMA flow diagram.
Data extraction will be conducted independently by LPB and MC using a predeveloped data extraction Excel form. To ensure adequacy of extraction, LPB and MC will pilot one study together. Disagreements will be solved by discussion or if necessary with a third reviewer (SP). Data extraction will include (1) general publication information such as the year of publication, journal, country, author list, funding, and conflict of interest; (2) study details such as design, sample size, and setting; (3) study population information such as demographic characteristics and characteristic of the decision to be made (THA or TKA); (4) PtDA information such as PtDA name, type, and IPDAS criteria; (5) intervention details such as patient exposure to PtDA and time points; (6) control group alternative or standard of care details; (7) outcome measures prespecified with timeframe; and (8) result summary including effect size and dropout rates. If available in articles, THA and TKA results will be extracted and reported separately. Corresponding authors will be contacted for further information if deemed necessary.
Risk of bias
Methodological quality of all included studies will be appraised independently by two reviewers (LPB and MC) with the Cochrane’s risk of bias tool. Accordingly, risk of bias assessment will include selection bias, performance bias, detection bias, attrition bias, reporting bias, and other biases . Based on the tool’s criteria, each item will be classified as high, low, or unclear risk. Justifications will be documented in a separate file with associate quotes from articles. Disagreements between reviewers will be resolved with discussion or if necessary by a third party (SP). Risk of bias for all included studies will be illustrated in a risk of bias figure in the final manuscript.
The results of this systematic review will be descriptively synthesized. The synthesis will include basic characteristics of included studies and outcome measured. Subsequently, primary and secondary outcomes and comparison between PtDA and comparator will be synthesized. Studies will be subdivided into two comparison categories: studies comparing PtDA with standard of care and studies comparing two PtDAs. Consequently, the synthesis will be twofold: (1) the effect of PtDA on TJA decision-making and (2) comparing the effect of different PtDA. Each category will be subdivided by demographics (age, sex, ethnicity, and socioeconomic status), past-medical history of arthroplasty, and TKA vs THA since these have been shown to have an impact on TJA decision-making [71,72,73,74]. Risk of bias will be taken into consideration for the synthesis and will be summarized narratively.
A meta-analysis will be considered once data collection is completed and will depend on the number of included studies, their risk of bias, and their clinical, methodological, and statistical homogeneity. If outcomes were measured using the same or a similar instrument, the meta-analysis will consist of pooling results of categories using the random effects model. Results will be illustrated in a forest plot. Dichotomous measures will be analyzed by the number of events in the alternative or standard of care group compared to the intervention group. Risk ratio with 95% confidence interval (CI) will be reported. Continuous measures will be analyzed with a comparison of intervention versus alternative or standard of care group means. Standard deviation (SD) with 95% CI will be reported. Heterogeneity of studies will be visually investigated and calculated with the I2 statistic. I2 of 0–40% will be considered of low heterogeneity, 30–60% moderate heterogeneity, 50–90% substantial heterogeneity, and 75–100% considerable heterogeneity . If considerable heterogeneity is found, subgroup analyses will be performed such as patient sex and age, TKA and THA [71,72,73,74], patient history of TJA , and risk of bias score. Publication bias will be evaluated with funnel plots if the systematic review includes more than 10 studies . All statistics will be performed using RevMan Web . The descriptive synthesis and statistical analyses will be performed by the first author (LPB).
Confidence in cumulative evidence
The quality and strength of recommendations of the narrative and meta-analysis synthesis will be appraised through the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) by two independent authors (LPB and MC) . A “Summary of findings” table will be created providing assumed risk with associated source and rationale for each outcome by two reviewers (LPB and MC). The certainty of evidence will be rank as high, moderate, low, or very low based on (1) risk of bias, (2) inconsistency, (3) indirectness, (4) imprecision, and (5) publication bias [56, 77]. The online GRADEpro GDT tool will be used .
To our knowledge, no systematic review has been conducted on PtDAs for adults with OA considering primary elective THA and TKA decision-making. This review will complement the systematic review of Riddle et al.  by focusing on PtDAs by (1) providing a summary of RCTs findings on PtDAs effect on decision-making quality and process of adults with knee and hip OA considering primary elective TJA and by (2) providing evidence comparing different types of PtDA used for hip and knee TJA decision-making.
With the increasing senior population leading to increase TJA demands [9, 54, 55], it is fundamental to improve current TJA decision-making processes that can lead to improved healthcare efficiency and better patient expectations. Further, SDM is consistent with patient-centered care, defined as “providing care that is respectful of and responsive to individual patient preferences, needs and values and ensuring that patient values guide all clinical decisions,” which is a national goal for medical practices [79, 80]. Findings from this systematic review will inform further research on joint replacement decision-making quality and processes and on ways PtDAs facilitate SDM for orthopedic surgery.
Strength of this review is the a priori rigorous study methods including selection criteria with associated justification, exhaustive literature search strategy, and study selection, data extraction, and appraisal by two independent reviewers. Rigorous protocol is fundamental for conducting a good-quality systematic review. The limitation of this review is solely focusing on RCTs evaluating the effect of PtDA compared to standard of care or another PtDA for quality purpose. This may lead to the exclusion of good-quality observational studies. Further, this review will only include studies with adults considering primary elective TJA; therefore, findings will not be generalizable to adults considering TJA for any other reasons.
Availability of data and materials
Decisional Conflict Scale
Decision Quality Instrument-Hip or Knee
Grades of Recommendation, Assessment, Development and Evaluation
International Patient Decision Aids Standards
Medical Subject Headings
Patient decision aids
Randomized control trial
Total hip arthroplasty
Total joint arthroplasty
Total knee arthroplasty
Bortoluzzi A, Furini F, Scirè CA. Osteoarthritis and its management – epidemiology, nutritional aspects and environmental factors. Autoimmun Rev. 2018;17(11):1097–104.
O’Donnell S, Lagacé C, McRae L, Bancej C. Life with arthritis in Canada: a personal and public health challenge. Chronic Dis Inj Can. 2011;31(3):135–6.
Government of Canada SC. Symptom onset, diagnosis and management of osteoarthritis. 2014. Available from: https://www150.statcan.gc.ca/n1/pub/82-003-x/2014009/article/14087-eng.htm. [cited 2020 Jan 20].
Bannuru RR, Osani MC, Vaysbrot EE, Arden NK, Bennell K, Bierma-Zeinstra SMA, et al. OARSI guidelines for the non-surgical management of knee, hip, and polyarticular osteoarthritis. Osteoarthritis Cartilage. 2019;27(11):1578–89.
Brosseau L, Wells GA, Pugh AG, Smith CA, Rahman P, Àlvarez Gallardo IC, et al. Ottawa Panel evidence-based clinical practice guidelines for therapeutic exercise in the management of hip osteoarthritis. Clin Rehabil. 2016;30(10):935–46.
Zhang W, Moskowitz RW, Nuki G, Abramson S, Altman RD, Arden N, et al. OARSI recommendations for the management of hip and knee osteoarthritis, part I: critical appraisal of existing treatment guidelines and systematic review of current research evidence. Osteoarthritis Cartilage. 2007;15(9):981–1000.
Nelson AE, Allen KD, Golightly YM, Goode AP, Jordan JM. A systematic review of recommendations and guidelines for the management of osteoarthritis: the Chronic Osteoarthritis Management Initiative of the U.S. Bone and Joint Initiative. Semin Arthritis Rheum. 2014;43(6):701–12.
Gademan MGJ, Hofstede SN, Vliet Vlieland TPM, Nelissen RGHH, Marang-van de Mheen PJ. Indication criteria for total hip or knee arthroplasty in osteoarthritis: a state-of-the-science overview. BMC Musculoskelet Disord. 2016;17:463.
Canadian Institute for Health Information. Hip and Knee Replacements in Canada, 2017–2018: Canadian Joint Replacement Registry Annual Report. Ottawa: CIHI; 2019.
Culliford D, Maskell J, Judge A, Cooper C, Prieto-Alhambra D, Arden NK. Future projections of total hip and knee arthroplasty in the UK: results from the UK Clinical Practice Research Datalink. Osteoarthritis Cartilage. 2015;23(4):594–600.
Kurtz S, Ong K, Lau EM, Mowat F, Halpern MM. Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030. J Bone. 2007;89(4):780–5.
Otten R, van Roermund P, Picavet H. Trends in the number of knee and hip arthroplasties: considerably more knee and hip prostheses due to osteoarthritis in 2030; 2009.
Singh JA. Epidemiology of knee and hip arthroplasty: a systematic review. Open Orthop J. 2011;5:80–5 Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3092498/. [cited 2020 Jan 20].
Bohm ER, Dunbar MJ, Frood JJ, Johnson TM, Morris KA. Rehospitalizations, early revisions, infections, and hospital resource use in the first year after hip and knee arthroplasties. J Arthroplasty. 2012;27(2):232–237.e1.
Clair AJ, Evangelista PJ, Lajam CM, Slover JD, Bosco JA, Iorio R. Cost analysis of total joint arthroplasty readmissions in a bundled payment care improvement initiative. J Arthroplasty. 2016;31(9):1862–5.
Oh C, Slover JD, Bosco JA, Iorio R, Gold HT. Time trends in characteristics of patients undergoing primary total hip and knee arthroplasty in California, 2007-2010. J Arthroplasty. 2018;33(8):2376–80.
Ethgen O, Bruyère O, Richy F, Dardennes C, Reginster J-Y. Health-related quality of life in total hip and total knee arthroplasty. A qualitative and systematic review of the literature. J Bone Joint Surg Am. 2004;86-A(5):963–74.
Jenkins PJ, Clement ND, Hamilton DF, Gaston P, Patton JT, Howie CR. Predicting the cost-effectiveness of total hip and knee replacement. Bone Joint J. 2013;95-B(1):115–21.
Shan L, Shan B, Graham D, Saxena A. Total hip replacement: a systematic review and meta-analysis on mid-term quality of life. Osteoarthritis Cartilage. 2014;22(3):389–406.
Vissers MM, Bussmann JB, Verhaar JAN, Busschbach JJV, Bierma-Zeinstra SMA, Reijman M. Psychological factors affecting the outcome of total hip and knee arthroplasty: a systematic review. Semin Arthritis Rheum. 2012;41(4):576–88.
Santaguida PL, Hawker GA, Hudak PL, Glazier R, Mahomed NN, Kreder HJ, et al. Patient characteristics affecting the prognosis of total hip and knee joint arthroplasty: a systematic review. Can J Surg. 2008;51(6):428–36.
Parvizi J, Mui A, Purtill JJ, Sharkey PF, Hozack WJ, Rothman RH. Total joint arthroplasty: when do fatal or near-fatal complications occur? JBJS. 2007;89(1):27–32.
Zmistowski B, Restrepo C, Hess J, Adibi D, Cangoz S, Parvizi J. Unplanned readmission after total joint arthroplasty: rates, reasons, and risk factors. JBJS. 2013;95(20):1869–76.
Allen KD, Choong PF, Davis AM, Dowsey MM, Dziedzic KS, Emery C, et al. Osteoarthritis: models for appropriate care across the disease continuum. Best Pract Res Clin Rheumatol. 2016;30(3):503–35.
Beswick AD, Wylde V, Gooberman-Hill R, Blom A, Dieppe P. What proportion of patients report long-term pain after total hip or knee replacement for osteoarthritis? A systematic review of prospective studies in unselected patients. BMJ Open. 2012;2(1):e000435.
Jones CA, Beaupre LA, Johnston DWC, Suarez-Almazor ME. Total joint arthroplasties: current concepts of patient outcomes after surgery. Rheum Dis Clin North Am. 2007;33(1):71–86.
Woolhead G, Donovan J, Dieppe P. Patient expectations and total joint arthroplasty. J Rheumatol. 2003;30(7):1656–7 author reply 1657.
Bunzli S, Nelson E, Scott A, French S, Choong P, Dowsey M. Barriers and facilitators to orthopaedic surgeons’ uptake of decision aids for total knee arthroplasty: a qualitative study. BMJ Open. 2017;7(11):e018614.
Curtis AJ, Wolfe R, Russell COH, Elliott BG, Hart JAL, McNeil JJ. Determining priority for joint replacement: comparing the views of orthopaedic surgeons and other professionals. Med J Australia. 2011;195(11):699–702.
Dreinhöfer KE, Dieppe P, Stürmer T, Gröber-Grätz D, Flören M, Günther K-P, et al. Indications for total hip replacement: comparison of assessments of orthopaedic surgeons and referring physicians. Ann Rheum Dis. 2006;65(10):1346–50.
Frankel L, Sanmartin C, Conner-Spady B, Marshall DA, Freeman-Collins L, Wall A, et al. Osteoarthritis patients’ perceptions of “appropriateness” for total joint replacement surgery. Osteoarthritis Cartilage. 2012;20(9):967–73.
Jourdan C, Poiraudeau S, Descamps S, Nizard R, Hamadouche M, Anract P, et al. Comparison of patient and surgeon expectations of total hip arthroplasty. Plos One. 2012;7(1):e30195.
Katz JN, Winter AR, Hawker G. Measures of the appropriateness of elective orthopaedic joint and spine procedures. J Bone. 2017;99(4):e15.
Riddle DL, Perera RA. Appropriateness and total knee arthroplasty: an examination of the American Academy of Orthopaedic Surgeons appropriateness rating system. Osteoarthritis Cartilage. 2017;25(12):1994–8.
Hudak PL, Clark JP, Hawker GA, Coyte PC, Mahomed NN, Kreder HJ, et al. “You’re perfect for the procedure! Why don’t you want it?” Elderly arthritis patients’ unwillingness to consider total joint arthroplasty surgery: a qualitative study. Med Decis Making. 2002;22(3):272–8.
Trenaman L, Stacey D, Bryan S, Taljaard M, Hawker G, Dervin G, et al. Decision aids for patients considering total joint replacement: a cost-effectiveness analysis alongside a randomised controlled trial. Osteoarthritis Cartilage. 2017;25(10):1615–22.
Gonzalez Saenz de Tejada M, Escobar A, Bilbao A, Herrera-Espiñeira C, García-Perez L, Aizpuru F, et al. A prospective study of the association of patient expectations with changes in health-related quality of life outcomes, following total joint replacement. BMC Musculoskelet Disord. 2014;15:248.
Hoffmann TC, Mar CD. Patients’ expectations of the benefits and harms of treatments, screening, and tests: a systematic review. JAMA Intern Med. 2015;175(2):274–86.
Carman KL, Dardess P, Maurer M, Sofaer S, Adams K, Bechtel C, et al. Patient and family engagement: a framework for understanding the elements and developing interventions and policies. Health Affairs. 2013;32(2):223–31.
Hibbard JH, Greene J. What the evidence shows about patient activation: better health outcomes and care experiences; fewer data on costs. Health Aff (Millwood). 2013;32(2):207–14.
Joosten EAG, Defuentes-merillas L, De Weert GH, Sensky T, Van Der Staak CPF, De Jong CAJ. Systematic review of the effects of shared decision-making on patient satisfaction, treatment adherence and health status. Psychother Psychosomatics. 2008;77(4):219–26.
Kiesler DJ, Auerbach SM. Optimal matches of patient preferences for information, decision-making and interpersonal behavior: evidence, models and interventions. Patient Educ Couns. 2006;61(3):319–41.
Shay LA, Lafata JE. Where is the evidence? A systematic review of shared decision making and patient outcomes. Med Decis Making. 2015;35(1):114–31.
Stacey D, Taljaard M, Dervin G, Tugwell P, O’Connor AM, Pomey MP, et al. Impact of patient decision aids on appropriate and timely access to hip or knee arthroplasty for osteoarthritis: a randomized controlled trial. Osteoarthritis Cartilage. 2016;24(1):99–107.
Elwyn G, Frosch D, Thomson R, Joseph-Williams N, Lloyd A, Kinnersley P, et al. Shared decision making: a model for clinical practice. J Gen Intern Med. 2012;27(10):1361–7.
Légaré F, Stacey D. CANO Conference Feature: Engaging patients using an interprofessional approach to shared decision making. Can Oncol Nurs J. 2015;25(4):455–61.
Makoul G, Clayman ML. An integrative model of shared decision making in medical encounters. Patient Educ Couns. 2006;60(3):301–12.
Boss EF, Mehta N, Nagarajan N, Links A, Benke JR, Berger Z, et al. Shared decision making and choice for elective surgical care: a systematic review. Otolaryngol Head Neck Surg. 2016;154(3):405–20.
Stacey D, Légaré F, Col NF, Bennett CL, Barry MJ, Eden KB, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2014;1:CD001431.
Volk RJ, Llewellyn-Thomas H, Stacey D, Elwyn G. Ten years of the International Patient Decision Aid Standards Collaboration: evolution of the core dimensions for assessing the quality of patient decision aids. BMC Med Informatics Decis Mak. 2013;13(Suppl 2):S1.
Trenaman L, Stacey D, Bryan S, Payne K, Hawker G, Bansback N. Long-term effect of patient decision aids on use of joint replacement and health care costs. Osteoarthritis Cartilage. 2020; Available from: http://www.sciencedirect.com/science/article/pii/S1063458420309092. [cited 2020 May 16].
Trenaman L, Bryan S, Bansback N. The cost-effectiveness of patient decision aids: a systematic review. Healthcare. 2014;2(4):251–7.
Riddle DL, Sando T, Tarver T, Slover J, Sierra RJ, Brito JP, et al. Shared decision making applied to knee arthroplasty: a systematic review of randomized trials. Arthritis Care Res 2020;n/a(n/a). Available from: http://onlinelibrary.wiley.com/doi/abs/10.1002/acr.24240. [cited 2020 Oct 26].
Statistics Canada. Population projections for Canada, provinces and territories: highlights. 2015. Available from: https://www150.statcan.gc.ca/n1/pub/91-520-x/2010001/aftertoc-aprestdm1-eng.htm. [cited 2019 Jan 26].
He W, Goodkind D, Kowal P. An aging World: 2015. International Population Reports. US Department of Health and Human Services. Washington, DC: U.S. Government Publishing Office; 2016. p. 175.
Higgins J, Thomas J, Chandler J, Cumpston M, Li T, Page M, et al. Cochrane handbook for systematic reviews of interventions. 2nd ed. Vol. Version 6. 2019.
Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4(1). https://doi.org/10.1186/2046-4053-4-1.
Joseph-Williams N, Newcombe R, Politi M, Durand M-A, Sivell S, Stacey D, et al. Toward minimum standards for certifying patient decision aids: a modified Delphi consensus process. Med Decis Mak. 2014;34(6):699–710.
Ilic D, Jammal W, Chiarelli P, Gardiner RA, Hughes S, Stefanovic D, et al. Assessing the effectiveness of decision aids for decision making in prostate cancer testing: a systematic review. Psycho-Oncol. 2015;24(10):1303–15.
Sepucha KR. Knee or Hip Osteoarthritis Decision Quality Instrument v.2.0. ©Massachusetts General Hospital, 2010 [updated 2012, 2016].
Légaré F, Kearing S, Clay K, Gagnon S, D’Amours D, Rousseau M, et al. Are you SURE?: assessing patient decisional conflict with a 4-item screening test. Can Fam Physician. 2010;56(8):e308–14.
O’Connor AM. Validation of a decisional conflict scale. Med Decis Mak. 1995;15(1):25–30.
Sainfort F, Booske B. Measuring post-decision satisfaction. Med Decis Mak. 2000;20(1):51–61.
Janssen MF, Pickard AS, Golicki D, Gudex C, Niewada M, Scalone L, et al. Measurement properties of the EQ-5D-5L compared to the EQ-5D-3L across eight patient groups: a multi-country study. Qual Life Res. 2013;22(7):1717–27.
Brehaut JC, O’Connor AM, Wood TJ, Hack TF, Siminoff L, Gordon E, et al. Validation of a decision regret scale. Med Decis Mak. 2003;23(4):281–92.
Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SLT, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. 2002;32(6):959–76.
McGowan J, Sampson M, Salzwedel DM, Cogo E, Foerster V, Lefebvre C. PRESS Peer Review of electronic search strategies: 2015 guideline statement. J Clin Epidemiol. 2016;75:40–6.
Rosenzweig R. Zotero | Your personal research assistant. Fairfax: Center for History and New Media; 2020. Available from: https://www.zotero.org/. [cited 2020 Jan 24].
Covidence Systematic Review Software. Melbourne: Veritas Health Innovation; Available from: www.covidence.org. Accessed Apr 2020.
Higgins JPT, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;18:343.
Mota REM, Tarricone R, Ciani O, Bridges JF, Drummond M. Determinants of demand for total hip and knee arthroplasty: a systematic literature review. BMC Health Serv Res. 2012;12:225.
Collins JE, Deshpande BR, Katz JN, Losina E. Race- and sex-specific incidence rates and predictors of total knee arthroplasty: seven-year data from the Osteoarthritis Initiative. Arthritis Care Res. 2016;68(7):965–73.
Kim H-J, Park J-Y, Kang K-T, Chang B-S, Lee C-K, Yeom JS. Factors influencing the surgical decision for the treatment of degenerative lumbar stenosis in a preference-based shared decision-making process. Eur Spine J. 2015;24(2):339–47.
Barlow T, Griffin D, Barlow D, Realpe A. Patients’ decision making in total knee arthroplasty. Bone Joint Res. 2015;4(10):163–9.
Sterne JAC, Sutton AJ, Ioannidis JPA, Terrin N, Jones DR, Lau J, et al. Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ. 2011;22:343.
The Cochrane Collaboration. Review Manager Web (RevMan Web) 2019. (Revman Web). Available from: revman.cochrane.org.
Schünemann H, Brozek J, Guyatt G, Oxman A. GRADE handbook for grading quality of evidence and strength of recommendations. The GRADE Working Group, 2013; 2013. Available from: guidelinedevelopment.org/handbook. Accessed Apr 2020.
GRADEpro. Available from: https://gradepro.org/. [cited 2020 Feb 22].
Canadian Medical Association. Health care transformation in Canada: change that works, care that lasts. Ottawa; 2010. Available from: https://policybase.cma.ca/documents/policypdf/PD10-05.PDF. Accessed May 2020.
Institute of Medicine (US) Committee on Quality of Health Care in America. Crossing the quality chasm: a new health system for the 21st century. Washington (DC): National Academies Press (US); 2001.
The authors would like to thank librarian Marie-Cécile Domecq for her expertise, contribution, and time with the development of the search strategy.
Important protocol amendments will be available by means of protocol addendum in PROSPERO supplemented with the date and associated rationale of the modification. All amendments with associated justification will be specified in the final manuscript.
LPB is supported by the Queen Elizabeth II Graduate Scholarships in Science and Technology (QEII-GSST), the Physio Race Scholarship, and the University of Ottawa Excellence Scholarship. No funding was provided specifically for this protocol. The funding bodies had no role in the design, preparation, review, approval, and any other decisions pertaining to the protocol.
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Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
MEDLINE full search strategy
1. Arthroplasty, Replacement, Hip/
2. Arthroplasty, Replacement, Knee/
3. Hip Prosthesis/
4. Knee Prosthesis/
5. hip$ arthroplast*.ti,ab.
6. hip$ replacement$.ti,ab.
7. (total adj3 hip$ adj3 (replacement$ or arthroplast*)).ti,ab.
8. (hip$ adj3 prosthe*).ti,ab.
9. hip$ prosthe*.ti,ab.
10. knee arthroplast*.ti,ab.
11. knee replacement$.ti,ab.
12. (total adj3 knee adj3 (replacement$ or arthroplast*)).ti,ab.
13. knee prosthe*.ti,ab.
14. (total adj3 joint$ adj3 (replacement$ or arthroplast*)).ti,ab.
15. joint$ replacement$.ti,ab.
16. joint$ arthroplast*.ti,ab.
17. 1 or 2 or 3 or 4 or 5 or 6 or 7 or 8 or 9 or 10 or 11 or 12 or 13 or 14 or 15 or 16
18. exp decision making/ or choice behavior/
19. decision support techniques/
20. Patient Participation/
21. Patient Education as Topic/
22. Decision Support Systems, Clinical/
23. Decision Trees/
24. exp Decision Making, Computer-Assisted/
25. (decision making or choice behavior).mp. and informed consent.sh.
26. patient$ decision aid$.ti,ab.
27. (patient$ adj3 (decision$ or aid$)).ti,ab.
28. ((decision* or decid*) adj3 (support* or aid* or tool* or instrument* or technolog* or technique* or system* or program* or algorithm* or process* or method* or intervention* or material*)).ti,ab.
29. (decision adj3 (board* or guide* or counsel*)).ti,ab.
30. ((risk communication or risk assessment or risk information) adj3 (tool* or method*)).ti,ab.
31. interactive health communication*.ti,ab.
32. (interactive adj (internet or online or graphic* or booklet*)).ti,ab.
33. (interacti* adj3 tool*).ti,ab.
34. ((interactiv* or evidence based) adj3 (risk information or risk communication or risk presentation or risk graphic*)).ti,ab.
35. shared decision making.ti,ab.
36. (computer* adj3 decision making).ti,ab.
37. (informed adj3 (choice* or decision*)).ti,ab.
38. adaptive conjoint analys#s.tw.
39. 18 or 19 or 20 or 21 or 22 or 23 or 24 or 25 or 26 or 27 or 28 or 29 or 30 or 31 or 32 or 33 or 34 or 35 or 36 or 37 or 38
40. exp Randomized Controlled Trials as Topic/
41. research design/ or control groups/ or double-blind method/ or random allocation/
42. exp controlled clinical trial/
43. single-blind method/
45. (randomi* adj3 (control* or trial$)).ti,ab.
49. 40 or 41 or 42 or 43 or 44 or 45 or 46 or 47 or 48
50. 17 and 39 and 49
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Pacheco-Brousseau, L., Charette, M., Stacey, D. et al. Protocol for systematic review: patient decision aids for total hip and knee arthroplasty decision-making. Syst Rev 10, 8 (2021). https://doi.org/10.1186/s13643-020-01549-6
- Patient decision aids
- Total joint arthroplasty
- Total hip arthroplasty
- Total knee arthroplasty
- Shared decision-making