Abstract
Background
The burden of traumatic musculoskeletal injuries falls greatest on low- and middle-income countries (LMICs). To help address this burden, organizations host over 6,000 outreach trips annually, 20% of which are orthopaedic. Monitoring post-surgical outcomes is critical to ensuring care quality; however, the implementation of such monitoring is unknown. The purpose of this review is to identify published follow-up practices of short-term orthopaedic surgery outreach trips to LMICs.
Methods
We completed a systematic review of Pubmed, Web of Science, EMBASE, and ProQuest following PRISMA guidelines. Follow-up method, rate, duration, and types of outcomes measured along with barriers to follow-up were collected and reported.
Results
The initial search yielded 1,452 articles, 18 of which were eligible. The mean follow-up time was 5.4 months (range: 15 days-7 years). The mean follow-up rate was 65.8% (range: 22%-100%), the weighted rate was 57.5%. Fifteen studies reported follow-up at or after 3 months while eight studies reported follow-up at or after 9 months. Fifteen studies reported follow-up in person, three reported follow-up via phone call or SMS. Outcome reporting varied among mortality, complications, and patient-reported outcomes. The majority (75%) outlined barriers to follow-up, most commonly noting transportation and costs of follow-up to the patient.
Conclusions
There is minimal and heterogeneous public reporting of patient outcomes and follow-up after outreach trips to LMICs, limiting quality assessment and improvement. Future work should address the design and implementation of tools and guidelines to improve follow-up as well as outcome measurement to ensure provision of high-quality care.
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Introduction
Approximately 5 billion people lack access to safe, affordable surgical care [1]. A large component of this burden stems from injuries and musculoskeletal disorders, which account for 16% of the world’s total burden of disease [2]. This injury burden disproportionately affects patients in low- and middle-income countries (LMIC), where nine in ten individuals cannot access basic surgical care [1]. To mitigate this gap in access, organizations across the USA sponsor over 6,000 outreach trips annually [3], 20% of which address orthopaedic surgical conditions [4]. While short-term surgical trips can improve access to surgical care, there is increasing concern regarding the lack of outcome collection and reporting among such trips [5, 6]. These trips commonly measure treatment success by outcome measures, such as the number of procedures performed as opposed to long-term patient outcomes or impact on local communities [5, 7, 8]. While current measurement systems often include utilization outcome measures (e.g. number of patients evaluated), these measures fail to capture quality of care, patient perspectives, or sustainability of the trip’s impact on the local healthcare system, which are foundational to safe and high-quality care [5, 8, 9].
Several organizations such as the Lancet Commission for Global Surgery and the G4 Alliance aim to address the lack of outcome collection during trips. Their guidelines for “safe and effective” surgery promote individual-level (e.g. access to healthcare) and system-level (e.g. adherence to protocols) data collection [1] alongside standardized measures (e.g. inpatient trauma mortality rate and surgical volume) [10]. Other surgical specialties are developing implementation tools to help collect outcomes after short-term surgical outreach trips [7, 11]. After reconstructive surgical outreach trips, for example, some organizations have connected patients with community health workers to reduce barriers such as distance and cost of travel [12]; others have adapted protocols to include telemedicine capabilities in order to increase follow-up and provide speech therapy [13]. Improving post-operative data collection is similarly important in orthopaedic surgery, yet little is little is known about follow-up practices following orthopaedic surgical outreach.
To identify the current follow-up practices during orthopaedic surgical outreach trips, we completed a systematic review to analyse (1) what are the reported follow-up practices following orthopaedic outreach trips, (2) what outcomes are collected, and (3) what are the barriers to conducting follow-up during such trips?
Material and Methods
Search Strategy and Selection Criteria
We conducted a systematic review to identify all literature including patient follow-up after orthopaedic outreach trips. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Fig. 1) [9]. This review was registered with Prospero (https://www.crd.york.ac.uk/prospero/), an international prospective register of systematic reviews before data extraction began (Prospero ID: 291,575). Explicit search algorithms were designed with the assistance of two research librarians to search Pubmed, Web of Science, EMBASE, and ProQuest. The initial search was for all studies filed under the search terms of “outreach missions”, “orthopaedics”, and “follow-up”, with appropriate MeSH Terms and synonyms for each. The search was limited to peer-reviewed articles focusing on orthopaedic outreach trips (or trips including orthopaedic surgeries and providers), published in English after 1990. All study types, except for systematic reviews, case studies, and perspective papers, were eligible for inclusion. Other exclusion criteria included non-orthopaedic outreach trips and long-term outreach or partnerships (such as global health surgical centres or non-governmental organization (NGO)-supported local programmes).
Following the database searches, results were uploaded onto Covidence, a Cochrane-sanctioned application for screening and analysing of articles in systematic reviews. Two authors independently conducted the initial screening (CL and SC), which included the screening of titles and abstracts, before discussing discrepancies during a research meeting. Two authors (CL and SC) then conducted a full-text review and reviewed the references of each included article and the grey literature to identify missing literature.
Quality Assessment and Data Collection
After screening, we performed a quality assessment of the eligible articles using the Newcastle–Ottawa Scale (NOS) for cohort studies. The NOS assesses 3 domains: selection of participants, comparability of the groups, and quality of the outcomes [14]. A higher score (ranging from 0–9) indicates a higher-quality study, with scores < 7 indicating a low-quality study that will not be included in the analysis. For case series studies, we used the IHE Quality Appraisal Tool [15, 16]. Developed through the Delphi technique, this tool includes 18 questions and assesses potential bias in case series studies [16].
Data Extraction and Analysis
Two authors (CL and SC) extracted article information onto a shared spreadsheet. Initial extraction included article information such as study type (case series, cohort, etc.) along with basic characteristics of the outreach trip. These included geographic location of the trip, range of data collection, patient population (adult, paediatric, or mixed), and the surgical specialty focused on during the trip (e.g. hand, spine, general).
Following guidelines from other systematic reviews examining follow-up practices, we extracted follow-up rate, length of follow-up, and health outcomes [5]. Length of follow-up was defined as the time between surgical care and the follow-up event. It was reported either as noted in the studies or as a mean for studies indicating time ranges or multiple follow-up appointments (e.g. patients returning for follow-up between 1–2 years was averaged as 1.5 years) [17]. Follow-up rate was defined as the number of patients who returned at the specified date or time for a follow-up appointment divided by the total number of patients receiving care during the outreach trip. For studies reporting multiple time points of follow-up, each point was extracted separately and then averaged to capture minimum and maximum follow-up. We then calculated a weighted average for patient follow-up by number of patients who received surgical care within each study to analyse any potential confounding of the mean by sample size. We also collected the platform used for follow-up (technology-based or in person).
We extracted outcomes collected by each trip or organization, including mortality, complications, complication rate, and patient-reported outcomes (PROs). We collected the complications reported and complication rates, reported as the per cent of all patients operated on. From studies reporting multiple complication rates, we averaged the rates, and then calculated the overall mean complication rate. We extracted three components of PROs: the patient-reported outcome measure(s) (PROM(s)) utilized, PROM use time points (e.g. pre-operatively, during follow-up), and any modifications to the tool (e.g. translation, adaptation).
We collected and categorized barriers to follow-up using a socioecological framework, which categorizes factors based upon the level at which they impact health—individual, community, organizational, and social—and the interaction between the levels [18,19,20]. Within this framework, the individual level includes personal characteristics, such as education, income, and knowledge [20]. The second category either includes relationships or organizations, such as organizational resources or policies [19]. The third category is community, which includes an individual’s setting or environment [20], and the fourth outlines social influences such as policies and broad societal factors (e.g. culture or social norms) [18, 20]. The socioecological framework has recently been used to evaluate various subspecialties including orthopaedic surgery [18, 21] and is often used to evaluate barriers to follow-up [22, 23]. By mapping barriers to each level, implementation strategies can be applied to ensure that barriers at all levels are addressed during programming [18]. Within this study, barriers to follow-up were mapped to the four levels.
As cost-effectiveness is often reported as a measurement of outreach trip sustainability [5, 8, 24], we extracted cost and cost-effectiveness data reported from outreach trips and, more specifically, from follow-up conduction.
Results
The initial search yielded 1452 articles; 118 duplicates were removed. Eighteen articles were included (Fig. 1). All included articles met quality analysis thresholds. Table 1 demonstrates the details of included studies.
A total of 2,759 patients received care across all included orthopaedic outreach trips, with 2,093 (75.8%) offered at least one follow-up opportunity. Three studies (16.7%) did not offer follow-up to all patients, two of which (11%) invited a select percentage of patients due to time and logistical constraints [25, 26] and one transferred a patient to another hospital [27]. The mean length of all follow-up events was 5.4 months and the mean maximum follow-up length offered was 6.5 months. All studies conducted follow-up for at least 15 days post-operatively. The number of studies collecting follow-up decreased as time increased; fifteen (88%) studies reported follow-up at or after 3 months and eight (47%) reported follow-up at or after nine months. The average follow-up rate was 65.8%, ranging from 22%-100% attendance at follow-up (Fig. 2). The weighted follow-up rate was 57.5%. The majority reported in-person follow-up (83%) while three (16.7%) used technology-based platforms (SMS or phone calls) [27,28,29].
Two studies specifically reported mortality rates [30, 31], in one, all patients survived [30], in another study, six (2.4%) patients died [31]. Twelve studies (61%) reported complications; however, there was heterogeneity in complication reporting. Seven of those studies reporting complications outlined complication rates by complication type, two studies reported the number of patients “doing well” at follow-up [17, 32] (Table 2). For studies reporting complications, the average rate of complications was 18.3%. PRO collection was reported in eleven (61%) studies; nine used PROs [17, 27, 29, 33,34,35,36], one collected PROs via semi-structured interviews [25], and one used a combination [26]. Of those using PROs, two did not specify any tool modifications [27, 28], six specified using translated tools [9, 13, 15, 16, 37], and two included a translated and culturally adapted tool [29, 34]. The WOMAC (Western Ontario and McMaster Universities Osteoarthritis Index) and Quick-Disabilities of the Arm, Shoulder, and Hand (QuickDASH) were the only two instruments measuring patient-reported function and physical health utilized in more than one study. The SF-36 mental health subscale was the most commonly utilized instrument to collect data related to mental health [17, 32, 33, 35].
Barriers to follow-up were identified in fourteen (78%) studies and were found in each of the four levels of the socioecological framework (Fig. 3) [18, 21, 25,26,27,28,29, 31, 32, 34, 37,38,39,40,41]. The organization level had the greatest number of barriers (e.g. overwhelmed facilities [31] or a lack of a patient database [42]). However, the most commonly identified barrier was cost of follow-up to patients, both monetary and time costs, identified in six (22%) studies [25, 26, 28, 39,40,41]. Cost was primarily reported as it relates to financial assistance for patients (e.g. payment for transportation) [25,26,27,28, 34, 35, 39, 40]. Reported cost information is illustrated in Supplementary Table 1.
Discussion
Outreach trips to LMICs are increasing to meet the burden of musculoskeletal disease and trauma, but outcome evaluation and patient follow-up are lacking after most trips. This systematic review illustrates current follow-up practices after orthopaedic outreach trips, demonstrating heterogeneity in follow-up methods and sparse outcome reporting, and informs areas for improvement efforts.
The results of this systematic review should be viewed in light of their limitations. This review predominantly includes case series, with few studies including a measured intervention. Overall, the number of eligible studies was limited, representing a small number of the estimated thousands of orthopaedic outreach trips conducted annually [3, 4]. It is important to note that long-term programmes, such as skills transfer programmes, were not included. Additionally, organizations may collect data internally without resources or academic partners to support publishing externally. We similarly recognize that it is not necessary for all trips to report and publish follow-up findings [43]. Nonetheless, this review may introduce bias as organizations more likely to purposefully collect data may be over-represented here. The mean follow-up rate and duration in papers included in this review are likely greater than the follow-up rate and duration occurring after trips that do not publish data. The lack of robust data, both in quantity of studies and heterogeneity of reporting outcomes, hindered the ability to run statistical analyses on the data. Despite these concerns, the quality of studies was good based on respective quality assessment scores (> 77% on NOS, > 70% on IHE) [14,15,16]. Furthermore, the rate and duration of follow-up in high-income countries (HICs) is not known with certainty and varies by many factors (e.g. patient population, location), which limits comparison.
We analysed unweighted and weighted follow-up rate means and noticed a discrepancy. The fact that the weighted mean (57%) is lower than the non-weighted mean (66%) suggests that studies with high follow-up rates and smaller sample sizes influenced the unweighted mean. The lower rate of follow-up on greater sample sizes has implications for follow-up feasibility. Both means, however, are similar to those reported of surgical outreach trips conducted by other specialties. For example, a systematic review of reconstructive outreach trips found an average 56% return for follow-up [5], and another reported a 14–84% range [8].
Of the two forms of follow-up, follow-up rates were higher in studies using technology-based methods (SMS and telephone calls) than during in-person follow-up. Although previous studies indicate that technology-based follow-up can pose challenges (e.g. physical examination difficulties) [44], studies in both HIC and LMIC have highlighted time and cost savings to patients which may help address barriers to follow-up [45,46,47]. Technology-based follow-up might also improve sustainability, as the return or longer stay of visiting surgeons may not be sustainable, nor does it promote local surgical capacity. White et al. noted this decreased sustainability, as logistical and time constraints limited the number of patients visiting providers were able to invite for follow-up when revisiting the site seven years post-operatively [25]. In the future, focusing on technology-based and host–physician-led follow-up may promote more sustainable partnerships, build capacity, and improve the feasibility of follow-up [5, 13, 48].
Irrespective of reported follow-up method, outcomes reporting was limited and heterogeneous across included studies. Only about half of the studies reported complications, which makes drawing conclusions regarding trip effectiveness challenging [5, 8, 49] and does not allow for comparison across different outreach trips, which can decrease accountability [49]. Among those reporting complications, the average complication rate was 18.3%, which is concerning in comparison to the global orthopaedic complication rate of 5% [50]. In the USA, for example, complication rates are less than 2% following open reduction and internal fixation (ORIF) of ankle fractures [51] and approximately 8% following orthopaedic trauma surgery [52]. In this review, only three studies [31, 39, 40], all of which primarily treated traumatic injuries, specifically reported infection rates. The average infection rate of 2% among all patients who received follow-up in these three studies is much lower than that reported in other studies examining infection rates after similar procedures. For example, post-surgical infection rates are higher following traumatic injuries treated by ORIF in LMICs (6.4%) [53] and following orthopaedic surgery in the USA (about 4%) [54, 55], perhaps representing a lack of follow-up and/or under-reporting within the studies in this review [5, 54, 56]. The discrepancies in these numbers and the high complication rates highlight how outreach organizations have a responsibility to conduct follow-up or ensure follow-up is attainable.
In contrast, many studies reported PRO collection in an effort to capture patient perspectives. It should be noted, however, the application of PROs in these settings is limited. Only two studies reported tool adaptation to the community context, an approach known as community translation [29, 34] or the adaptation of tools by the target population to fit the needs and livelihoods of the population addressed, beyond translation [57, 58]. This adaptation captures cultural and linguistic differences between populations (for example, QuickDASH includes golf and tennis, which may not be globally relevant). Cultural differences were noted as a barrier to follow-up within this review [26, 35], mirrored in other studies showing how a lack of cultural adaptation results in higher attrition rates [57]. Additionally, tailoring tools to the patient population promotes shared decision-making and patient-centred care by building trust and incorporating patients’ values [42, 58,59,60].
Barriers are similar to those noted in prior studies [9, 13, 47] and can be viewed as they relate to the socioecological framework, which allows for identification of improvement opportunities within and across levels in a systematic manner. Four studies utilized follow-up methods that address multiple barriers at once, which, as a result, addresses multiple levels of the socioecological framework. For example, the use of SMS message-based follow-up addresses time for follow-up (individual level), distance to follow-up (community level), and incomplete outcome data collection (organization) [29]. Such data can be integrated back into electronic health record systems for patient monitoring [61]. Each study that addressed multiple levels of the socio-economic framework had higher-than-average rates of follow-up [28, 29, 32, 40].
The lack of and barriers to follow-up after orthopaedic outreach trips present a cause for concern and raise questions regarding ethical challenges of providing orthopaedic care in LMIC. Local care professionals and patients treated during outreach also share this concern, as studies examining outreach experience demonstrate a desire for longer follow-up [62,63,64]. Pean and colleagues developed an ethical framework for global orthopaedic surgery that details the importance of “implementing periodic follow-up and identifying and addressing complications”, yet the implementation of this framework has not been described [65]. Moving forward, the development and implementation of global guidelines, quality measures, and sustainable tools for follow-up is vital [47, 66]. These changes are necessary to hold orthopaedic outreach organizations accountable and to ensure the provision of high-quality care.
Conclusion
As the number of orthopaedic outreach trips to LMICs continues, it is important to ensure that patients are followed post-operatively to verify care delivery is safe and of high quality. This review not only demonstrates the paucity and heterogeneity of follow-up after orthopaedic outreach trips but also illustrates the need for further investigation and potential opportunities to ensure accountability and the provision of high-quality care. Future work in exploring technology-based follow-up and in guidelines for the duration, type, and metrics of follow-up after orthopaedic outreach trips may be useful moving forward.
References
Meara JG, Leather AJ, Hagander L et al (2015) Global surgery 2030: evidence and solutions for achieving health, welfare, and economic development. Lancet 386:569–624
Lopez AD, Murray CC (1998) The global burden of disease, 1990–2020. Nat Med 4:1241–1243
Maki J, Qualls M, White B, Kleefield S et al (2008) Health impact assessment and short-term medical missions: a methods study to evaluate quality of care. BMC Health Serv Res 8:121
Lin Y, Dahm JS, Kushner AL et al (2018) Are American surgical residents prepared for humanitarian deployment?: a comparative analysis of resident and humanitarian case logs. World J Surg 42:32–39. https://doi.org/10.1007/s00268-017-4137-x
Hendriks TC, Botman M, Rahmee CN et al (2019) Impact of short-term reconstructive surgical missions: a systematic review. BMJ Glob Health 4:e001176
Ng-Kamstra JS, Riesel JN, Arya S et al (2016) Surgical Non-governmental organizations: global surgery’s Unknown Nonprofit Sector. World J Surg 40:1823–1841. https://doi.org/10.1007/s00268-016-3486-1
Botman M, Hendriks TC, de Haas LE et al (2020) The effectiveness of burn scar contracture release surgery in low-and middle-income countries: a pre/post intervention study with long-term follow-up. Plast Reconstr Surg Glob Open 8:153
Sykes KJ (2014) Short-term medical service trips: a systematic review of the evidence. Am J Public Health 104:e38-48
Padmanaban V, Johnston PF, Gyakobo M et al (2020) Long-Term Follow-Up of Humanitarian Surgeries: Outcomes and Patient Satisfaction in Rural Ghana. J Surg Res 246:106–112
Haider A, Scott JW, Gause CD et al (2017) Development of a unifying target and consensus indicators for global surgical systems strengthening: proposed by the global alliance for surgery, obstetric, trauma, and anaesthesia care (the G4 alliance). World J Surg 41:2426–2434
Botman M, Hendriks TCC, Keetelaar AJ et al (2021) From short-term surgical missions towards sustainable partnerships. A survey among members of foreign teams. Int J Surg Open 28:63–69
Massenburg BB, Jenny HE, Saluja S et al (2016) Barriers to cleft lip and palate repair around the world. J Craniofac Surg 27:1741–1745
Patel PB, Hoyler M, Maine R et al (2012) An opportunity for diagonal development in global surgery: cleft lip and palate care in resource-limited settings. Plast Surg Int 2012:892437
Wells GA, Shea B, O’Connell D, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. Available at http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp. Accessed 15 January 2022.
Ma LL, Wang YY, Yang ZH et al (2020) Methodological quality (risk of bias) assessment tools for primary and secondary medical studies: what are they and which is better? Mil Med Res 7:1–11
Moga C, Guo B, Schopflocher D et al (2012) Development of a Quality Appraisal Tool for Case Series Studies Using a Modified Delphi Technique: Methodology Paper. J Health Economics 111:49–59
Bido J, Yang YH, Collins JE et al (2017) Predictors of patient-reported outcomes of total joint arthroplasty in a developing country. J Arthroplasty 32:1756–1762
Bogardus RL, Martin RJ, Richman AR et al (2019) Applying the Socio-Ecological Model to barriers to implementation of ACL injury prevention programs: a systematic review. J Sport Health Sci 8:8–16
Centers for Disease Control and Prevention. The social-ecological model: A framework for violence prevention. Available at: https://www.cdc.gov/violenceprevention/about/social-ecologicalmodel.html. Accessed 20 January 2022.
Clinical and Translational Science Awards Consortium Community Engagement Key Function Committee Task Force on the Principles of Community Engagement. Principles of Community Engagement: Second Edition. Available at: https://www.atsdr.cdc.gov/communityengagement/pdf/PCE_Report_508_FINAL.pdf. Accessed 20 January 2022.
Dahlberg LL, Krug EG, Violence: a global public health problem (2002) In: Krug EG, Dahlberg LL, Mercy JA, Zwi AB, Lorenzo R, eds. World report on violence and health. Geneva, Switzerland; Lancet 2002:1–21.
Bailie J, Schierhout GH, Kelaher MA et al (2014) Follow-up of Indigenous-specific health assessments-a socioecological analysis. Med J Aust 200:653–657
Roura M, Busza J, Wringe A et al (2009) Barriers to sustaining antiretroviral treatment in Kisesa, Tanzania: a follow-up study to understand attrition from the antiretroviral program. AIDS Patient Care STDS 23:203–210
Chao TE, Sharma K, Mandigo M et al (2014) Cost-effectiveness of surgery and its policy implications for global health: a systematic review and analysis. Lancet Glob Health 2:e334–e345
White M, Alcorn D, Randall K et al (2017) Evaluation of Patient Satisfaction, Impact and Disability-Free Survival After a Surgical Mission in Madagascar: A Pilot Survey. World J Surg 41:364–369. https://doi.org/10.1007/s00268-016-3745-1
White MC, Randall K, Avara E et al (2018) Clinical outcome, social impact and patient expectation: a purposive sampling pilot evaluation of patients in Benin Seven years after surgery. World J Surg 42:1254–1261. https://doi.org/10.1007/s00268-017-4296-9
Armstrong JC, Nichols BE, Wilson JM et al (2014) Spinal cord injury in the emergency context: review of program outcomes of a spinal cord injury rehabilitation program in Sri Lanka. Confl Health 8:1–7
Hu DA, Harold RE, Pereira ED et al (2021) Patient-Reported outcomes after total hip arthroplasty in a low-resource country by a visiting surgical team. Arthroplast Today 10:41–45
Shapiro LM, Đình MP, Tran L et al (2021) (2021) Short message service-based collection of Patient-Reported outcome measures on hand surgery global outreach trips: a pilot feasibility study. J Hand Surg Am S0363–5023(21):00276–00278
Irmay F, Merzouga B, Vettorel D (2000) The Krukenberg procedure: a surgical option for the treatment of double hand amputees in Sierra Leone. Lancet 356:1072–1075
Teicher CL, Alberti K, Porten K et al (2014) Médecins sans frontières experience in orthopedic surgery in postearthquake Haiti in 2010. Prehosp Disaster Med 29:21–26
Dempsey KE, Collins JE, Ghazinouri R et al (2013) Associations between preoperative functional status and functional outcomes of total joint replacement in the Dominican Republic. Rheumatology (Oxford) 52:1802–1808
Chuang C, Azurdia J, Asuzu D et al (2018) Functional and quality of life outcomes of a hand surgery mission to Honduras. Hand (N Y) 13:305–312
Pigeolet M, Imam S, Ninulescu GC et al (2022) Evaluation of a surgical treatment algorithm for neglected clubfoot in low-resource settings. Int Orthop 46:61–70
Schlegelmilch M, Rashiq S, Moreau B et al (2017) Cost-Effectiveness Analysis of Total Hip Arthroplasty Performed by a Canadian Short-Stay Surgical Team in Ecuador. Adv Orthop 2017:5109895
Stenquist DS, Elman SA, Davis AM et al (2015) Physical activity and experience of total knee replacement in patients one to four years postsurgery in the dominican republic: a qualitative study. Arthritis Care Res (Hoboken) 67:65–73
Doman DM, Blair JA, Napierala MA et al (2011) Do plans and execution agree in a humanitarian medical mission? J Surg Orthop Adv 20:67–73
Raissi GR, Mokhtari A, Mansouri K (2007) Reports from spinal cord injury patients: eight months after the 2003 earthquake in Bam. Iran Am J Phys Med Rehabil 86:912–917
Cousins GR, Obolensky L, McAllen C et al (2012) The Kenya orthopaedic project: surgical outcomes of a travelling multidisciplinary team. J Bone Joint Surg Br 94:1591–1594
Torchia MT, Schroder LK, Hill BW et al (2016) A Patient Follow-up Program for Short-Term Surgical Mission Trips to a Developing Country. J Bone Joint Surg Am 98:226–232
Walk RM, Glaser J, Marmon LM et al (2012) Continuing promise 2009–assessment of a recent pediatric surgical humanitarian mission. J Pediatr Surg 47:652–657
De Klerk S, Jerosch-Herold C, Buchanan H et al (2019) Shared decision making and the practice of community translation in presenting a pre-final Afrikaans for the Western Cape disabilities of the Arm, Shoulder and Hand (DASH) questionnaire: a proposal for improved translation and cross-cultural adaptation. J Patient Rep Outcomes 3:1–8
Ullrich SJ, Kisa P, Muzira A, et al (2021) Improving Surgical Research Capacity in Low and Middle Income Countries: Can Episodic Data Collection Reliably Estimate Perioperative Mortality? Ann Surg.
Makhni MC, Riew GJ, Sumathipala MG (2020) Telemedicine in orthopaedic surgery: challenges and opportunities. J Bone Joint Surg Am 102:1109–1115
Chaudhry H, Nadeem S, Mundi R (2021) How satisfied are patients and surgeons with telemedicine in orthopaedic care during the COVID-19 pandemic? A systematic review and meta-analysis. Clin Orthop Relat Res 479:47–56
Sandberg CEJ, Knight SR, Qureshi AU et al (2019) Using telemedicine to diagnose surgical site infections in low- and middle-income countries: systematic review. JMIR Mhealth Uhealth 7:e13309
Shapiro LM (2021) Quality measures to deliver safe, high-quality care on hand surgery outreach trips to low and middle-income countries. J Bone Joint Surg 103(8):e32. https://doi.org/10.2106/JBJS.19.01506
Shapiro LM, Đình MP, Fox PM et al (2021) Barriers and facilitators of outcome collection during hand surgery outreach: a quality improvement study. Hand (N Y) 1:15589447211003184
Zitzman E, Berkley H, Jindal RM (2018) Accountability in global surgery missions. BMJ Glob Health 3:e001025
Molina CS, Thakore RV, Blumer A et al (2015) Use of the National Surgical Quality Improvement Program in orthopaedic surgery. Clin Orthop Relat Res 473:1574–1581
SooHoo NF, Krenek L, Eagan MJ, et al (2009) Complication rates following open reduction and internal fixation of ankle fractures. J Bone Joint Surg Am 91(5):1042-
Halvachizadeh S, Teuber H, Cinelli P et al (2019) Does the time of day in orthopedic trauma surgery affect mortality and complication rates? Patient Saf Surg 13:8
McQuillan TJ et al (2018) Surgical site infections after open reduction internal fixation for trauma in low and middle human development index countries: A systematic review. Surg Infect (Larchmt) 19:254–263
Bachoura A, Guitton TG, Smith RM et al (2011) Infirmity and injury complexity are risk factors for surgical-site infection after operative fracture care. Clin Orthop Relat Res 469:2621–2630
Shapiro LM, Graham LA, Hawn MT et al (2022) Quality reporting windows may not capture the effects of surgical site infections after orthopaedic surgery. J Bone Joint Surg Am. https://doi.org/10.2106/JBJS.21.01278
Bhangu A, Aneel AO, Aguilera ML et al (2018) Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study. Lancet Infect Dis 18:516–525
Slade AL, Retzer A, Ahmed K et al (2021) Systematic review of the use of translated patient-reported outcome measures in cancer trials. Trials 22:306
Taibi M (2016) U Ozolins. Bloomsbury Publishing, Community translation
Légaré F, Witteman HO (2013) Shared decision making: examining key elements and barriers to adoption into routine clinical practice. Health Aff (Millwood) 32:276–284
Long C, Beres LK, Wu AW, et al (2021) Patient-level barriers and facilitators to completion of patient-reported outcomes measures. Qual Life Res.
Shapiro LM, Kamal RN (2022) Implementation of electronic Health records during global outreach: a necessary next step in measuring and improving quality of care. J Hand Surg Am 47(3):279–283
Wassef DW, Holler JT, Pinner A et al (2018) Perceptions of Orthopaedic Volunteers and Their Local Hosts in Low- and Middle-Income Countries: Are We on the Same Page? J Orthop Trauma 32(Suppl 7):S29–S34
Nouvet E, Chan E, Schwartz LJ (2018) Looking good but doing harm? Perceptions of short-term medical missions in Nicaragua. Glob Public Health 13:456–472
Green T, Green H, Scandlyn J et al (2009) Perceptions of short-term medical volunteer work: a qualitative study in Guatemala. Global Health 5:4
Pean CA, Premkumar A, Pean MA, Ihejirika-Lomedico R, Woolley PM, McLaurin T, Israelski R, Schwarzkopf R, Caplan A, Egol K (2019) Global Orthopaedic Surgery: An Ethical Framework to Prioritize Surgical Capacity Building in Low and Middle-Income Countries. J Bone Joint Surg Am 101(13):e64
DeCamp M (2007) Scrutinizing global short-term medical outreach. Hastings Cent Rep 37:21–23
Acknowledgements
We thank Christopher Stave and Connie Wong, who assisted in the design of search terms. We would also like to thank Dr. Doruk Ozgediz, for his review of and assistance in the manuscript.
Funding
One or more of the authors (RK) has received funding from the National Institute of Health (NIH), the Orthopaedic Research and Education Foundation (OREF), and the Moore Foundation. The content of this work is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Health, the Orthopaedic Research and Education Foundation, or the Moore Foundation.
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One author (RK) has received consulting fees from Acumed and Triple Ring, another (LMCA) is part of an orthopaedic and traumatology association. All other authors declare they have no conflict of interest.
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Leversedge, C., Castro, S., Appiani, L.M.C. et al. Patient Follow-up After Orthopaedic Outreach Trips – Do We Know Whether Patients are Improving?. World J Surg 46, 2299–2309 (2022). https://doi.org/10.1007/s00268-022-06630-w
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DOI: https://doi.org/10.1007/s00268-022-06630-w