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Patients From Distressed Communities Who Undergo Surgery for Hip Fragility Fractures Are Less Likely to Have Advanced Care Planning Documents in Their Electronic Medical Record.
Advanced care planning documents provide a patient's healthcare team and loved ones with guidance on patients' treatment preferences when they are unable to advocate for themselves. A substantial proportion of patients will die within a few months of experiencing a hip fracture, but despite the importance of such documents, patients undergoing surgery for hip fracture seldom have discussions documented in the medical records regarding end-of-life care during their surgical admission. To the best of our knowledge, the proportion of patients older than 65 years treated with surgery for hip fractures who have advanced care planning documents in their electronic medical record (EMR) has not been explored, neither has the association between socioeconomic status and the presence of those documents in the EMR. Determining this information can help to identify opportunities to promote advanced care planning.
(1) What percentage of patients older than 65 years who undergo hip fracture surgery have completed advanced care planning documents uploaded in the EMR before or during their surgical hospitalization, or at any timepoint (before admission, during admission, and after admission)? (2) Are patients from distressed communities less likely to have advanced care planning documents in the EMR than patients from wealthier communities, after controlling for economic well-being as measured by the Distressed Communities Index? (3) What percentage of patients older than 65 years with hip fractures who died during their hospitalization for hip fracture surgery had advanced care planning documents uploaded in the EMR?
This was a retrospective, comparative study conducted at two geographically distinct hospitals: one urban Level I trauma center and one suburban Level II trauma center. Between 2017 and 2021, these two centers treated 850 patients for hip fractures. Among those patients, we included patients older than 65 years who were treated with open reduction and internal fixation, intramedullary nailing, hemiarthroplasty, or THA for a fragility fracture of the proximal femur. Based on that, 83% (709 of 850) of patients were eligible; a further 6% (52 of 850) were excluded because they had codes other than ICD-9 820 or ICD-10 S72.0, and another 2% (17 of 850) had incomplete datasets, leaving 75% (640 of 850) for analysis here. Most patients with incomplete datasets were in the prosperous Distressed Communities Index category. Among patients included in this study, the average age was 82 years, 70% (448 of 640) were women, and regarding the Distressed Communities Index, 32% (203 of 640) were in the prosperous category, 25% (159 of 640) were in the comfortable category, 15% (99 of 640) were in the mid-tier category, 5% (31 of 640) were in the at-risk category, and 23% (145 of 640) were in the distressed category. The primary outcome included the presence of advanced care planning documents (advanced directives, healthcare power of attorney, or physician orders for life-sustaining treatment) in the EMR before surgery, during the surgical admission, or at any time. The Distressed Communities Index was used to indicate economic well-being, and patients were identified as being in one of five Distressed Communities Index categories (prosperous, comfortable, mid-tier, at-risk, and distressed) based on ZIP Code. An exploratory analysis was conducted to determine variables associated with the presence of advanced care planning documents in the EMR. A multivariate regression was then performed for patients who did or did not have advanced care planning documents in their medical record at any time. The results are presented as ORs with the associated 95% confidence interval (CI).
Nine percent (55 of 640) of patients had advanced care planning documents in the EMR preoperatively or during their surgical admission, and 22% (142 of 640) of patients had them in the EMR at any time. After controlling for potential confounding variables such as age, laterality (left or right hip), hospital type, and American Society of Anesthesiologists (ASA) classification, we found that patients in Distressed Communities Index categories other than prosperous had ORs lower than 0.7, with patients in the distressed category (OR 0.4 [95% CI 0.2 to 0.7]; p < 0.01) and comfortable category (OR 0.5 [95% CI 0.3 to 0.9]; p = 0.01) having a substantially lower odds of having advanced care planning documents in their EMR. Patients aged 86 to 95 years (OR 1.9 [95% CI 1.1 to 3.4]), those 96 years and older (OR 4.0 [95% CI 1.7 to 9.5]), and those with a higher ASA classification (OR 1.6 [95% CI 1.1 to 2.3]) had a higher odds of having advanced care planning documents in the EMR at any time. Among 14 patients who experienced in-hospital mortality, two had advanced care planning documents uploaded into their EMR, whereas 12 of 14 who died in the hospital did not have advanced care planning documents uploaded into their EMR.
Orthopaedic surgeons should counsel patients regarding the risk for postoperative complications after fragility hip fracture surgery and engage in shared decision-making regarding advanced care planning documents with patients or, if the patients are unable, with their families. Additionally, implementing virtual education about advanced care planning documents and using easy-to-read forms may facilitate the completion of advanced care planning documents by patients older than 65 years, especially patients with low economic well-being. Limitations of this study include having a restricted number of patients in the at-risk and mid-tier Distressed Communities Index categories and a restricted number of patients identifying as non-White races/ethnicities. Future research should evaluate the effect of advanced care document presence in the EMR on end-of-life care intensity in patients treated for fragility hip fractures.
Level III, therapeutic study.
Khan IA
,Magnuson JA
,Ciesielka KA
,Levicoff EA
,Cohen-Rosenblum A
,Krueger CA
,Fillingham YA
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Postacute Care Readmission and Resource Utilization in Patients From Socioeconomically Distressed Communities After Total Joint Arthroplasty.
Racial and socioeconomic disparities have been associated with complications and poorer patient-reported outcomes after THA and TKA, but little is known regarding the variation of postacute care resource utilization based on socioeconomic difference in the communities in which patients reside. Hip and knee arthroplasty are among the most common elective orthopaedic procedures. Therefore, understanding social factors provides insight into patients at risk for readmission and the way in which these patients use other postoperative resources. This knowledge can help surgeons better understand which patients are at risk for complications or preventable readmissions and how to anticipate when additional surveillance or intervention might reduce this risk.
(1) Do patients from communities with a higher distress level experience higher rates of readmission after THA and TKA? (2) Do patients from distressed communities have increased postoperative resource utilization?
Demographics, ZIP code of residence, and Charlson comorbidity index (CCI) were recorded for each patient undergoing TKA or THA between 2016 and 2019 at two high-volume hospitals. Patients were classified according to the Distressed Communities Index (DCI) score of their ZIP code of residence. The DCI combines seven metrics of socioeconomic well-being (high school graduation, poverty rate, unemployment, housing vacancy, household income, change in employment, and change in establishment) to create a single score. ZIP codes are then classified by scores into five categories based on national quintiles (prosperous, comfortable, mid-tier, at-risk, and distressed). The DCI was chosen because it provides a single composite measure of multiple important socioeconomic factors. Multivariate analysis with logistic, negative binomial regression, or Poisson was used to investigate the association of DCI category with postoperative resource utilization while controlling forage, gender, BMI, and comorbidities. The primary outcome was 90-day readmissions. Secondary outcomes included postoperative medication prescriptions from the orthopaedic team, patient telephone calls to the surgeon's office, physical therapy sessions attended, follow-up office visits, and emergency department visits. A total of 5077 patients who underwent TKA (mean age 66 ± 9 years, 59% [2983 of 5077] are women, and 69% [3519 of 5077] are White), and 5299 who underwent THA (mean age 63 ± 11 years, 50% [2654 of 5299] are women, and 74% [3903 of 5299] are White) were included.
When adjusting for age, gender, race and CCI, readmission risk was higher in distressed communities compared with prosperous communities for patients undergoing TKA (odds ratio 1.6 [95% confidence interval 1.1 to 2.3]; p = 0.02) but not for THA. For secondary outcomes after TKA, at-risk communities had more postoperative prescriptions compared with prosperous communities, but no other differences were found. After THA, no major differences were found in the likelihood to utilize postoperative resources based on DCI category. Race was not associated with readmissions or resource utilization.
We found that socioeconomic distress was associated with readmission after TKA, but, after controlling for relevant confounding variables, race had no association. Patients from these communities do not demonstrate an increased or decreased use of other resources after post-TKA discharge. Increased awareness of these disparities may allow for closer monitoring and improved patient education and communication, with the goal of reducing the frequency of complications and preventable readmissions.
Level III, therapeutic study.
Magnuson JA
,Griffin SA
,Venkat N
,Gold PA
,Courtney PM
,Krueger CA
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No Differences Between White and Non-White Patients in Terms of Care Quality Metrics, Complications, and Death After Hip Fracture Surgery When Standardized Care Pathways Are Used.
Many initiatives by medical and public health communities at the national, state, and institutional level have been centered around understanding and analyzing critical determinants of population health with the goal of equitable and nondisparate care. In orthopaedic traumatology, several studies have demonstrated that race and socioeconomic status are associated with differences in care delivery and outcomes of patients with hip fractures. However, studies assessing the effectiveness of methods to address disparities in care delivery, quality metrics, and complications after hip fracture surgery are lacking.
(1) Are hospital quality measures (such as delay to surgery, major inpatient complications, intensive care unit admission, and discharge disposition) and outcomes (such as mortality during inpatient stay, within 30 days or within 1 year) similar between White and non-White patients at a single institution in the setting of a standardized hip fracture pathway? (2) What factors correlate with aforementioned hospital quality measures and outcomes under the standardized care pathway?
In this retrospective, comparative study, we evaluated the records of 1824 patients 55 years of age or older with hip fractures from a low-energy mechanism who were treated at one of four hospitals in our urban academic healthcare system, which includes an orthopaedic tertiary care hospital, from the initiation of a standardized care pathway in October 2014 to March 2020. The standardized 4-day hip fracture pathway is comprised of medicine comanagement of all patients and delineated tasks for doctors, nursing, social work, care managers, and physical and occupational therapy from admission to expected discharge on postoperative day 4. Of the 1824 patients, 98% (1787 of 1824) of patients who had their race recorded in the electronic medical record chart (either by communicating it to a medical provider or by selecting their race from options including White, Black, Hispanic, and Asian in a patient portal of the electronic medical record) were potentially eligible. A total of 14% (249 of 1787) of patients were excluded because they did not have an in-state address. Of the included patients, 5% (70 of 1538) were lost to follow-up at 30 days and 22% (336 of 1538) were lost to follow-up at 1 year. Two groups were established by including all patients selecting White as primary race into the White cohort and all other patients in the non-White cohort. There were 1111 White patients who were 72% (801) female with mean age 82 ± 10 years and 427 non-White patients who were 64% (271) female with mean age 80 ± 11 years. Univariate chi-square and Mann-Whitney U tests of demographics were used to compare White and non-White patients and find factors to control for potentially relevant confounding variables. Multivariable regression analyses were used to control for important baseline between-group differences to (1) determine the correlation of White and non-White race on mortality, inpatient complications, intensive care unit (ICU) admissions, and discharge disposition and (2) assess the correlation of gender, socioeconomic status, insurance payor, and the Score for Trauma Triage in the Geriatric and Middle Aged (STTGMA) trauma risk score with these quality measures and outcomes.
After controlling for gender, insurer, socioeconomic status and STTGMA trauma risk score, we found that non-White patients had similar or improved care in terms of mortality and rates of delayed surgery, ICU admission, major complications, and discharge location in the setting of the standardized care pathway. Non-White race was not associated with inpatient (odds ratio 1.1 [95% CI 0.40 to 2.73]; p > 0.99), 30-day (OR 1.0 [95% CI 0.48 to 1.83]; p > 0.99) or 1-year mortality (OR 0.9 [95% CI 0.57 to 1.33]; p > 0.99). Non-White race was not associated with delay to surgery beyond 2 days (OR = 1.1 [95% CI 0.79 to 1.38]; p > 0.99). Non-White race was associated with less frequent ICU admissions (OR 0.6 [95% CI 0.42 to 0.85]; p = 0.03) and fewer major complications (OR 0.5 [95% CI 0.35 to 0.83]; p = 0.047). Non-White race was not associated with discharge to skilled nursing facility (OR 1.0 [95% CI 0.78 to 1.30]; p > 0.99), acute rehabilitation facility (OR 1.0 [95% CI 0.66 to 1.41]; p > 0.99), or home (OR 0.9 [95% CI 0.68 to 1.29]; p > 0.99). Controlled factors other than White versus non-White race were associated with mortality, discharge location, ICU admission, and major complication rate. Notably, the STTGMA trauma risk score was correlated with all endpoints.
In the context of a hip fracture care pathway that reduces variability from time of presentation through discharge, no differences in mortality, time to surgery, complications, and discharge disposition rates were observed beween White and non-White patients after controlling for baseline differences including trauma risk score. The pathway detailed in this study is one iteration that the authors encourage surgeons to customize and trial at their institutions, with the goal of providing equitable care to patients with hip fractures and reducing healthcare disparities. Future investigations should aim to elucidate the impact of standardized trauma care pathways through the use of the STTGMA trauma risk score as a controlled confounder or randomized trials in comparing standardized to individualized, surgeon-specific care.
Level III, therapeutic study.
Parola R
,Neal WH
,Konda SR
,Ganta A
,Egol KA
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What Is the Quality of Surgical Care for Patients with Hip Fractures at Critical Access Hospitals?
Critical access hospitals (CAHs) play an important role in providing access to care for many patients in rural communities. Prior studies have shown that these facilities are able to provide timely and quality care for patients who undergo various elective and emergency general surgical procedures. However, little is known about the quality and reimbursement of surgical care for patients undergoing surgery for hip fractures at CAHs compared with non-CAH facilities.
Are there any differences in 90-day complications, readmissions, mortality, and Medicare payments between patients undergoing surgery for hip fractures at CAHs and those undergoing surgery at non-CAHs?
The 2005 to 2014 Medicare 100% Standard Analytical Files were queried using ICD-9 procedure codes to identify Medicare-eligible beneficiaries undergoing open reduction and internal fixation (79.15, 79.35, and 78.55), hemiarthroplasty (81.52), and THA (81.51) for isolated closed hip fractures. This database was selected because the claims capture inpatient diagnoses, procedures, charged amounts and paid claims, as well as hospital-level information of the care, of Medicare patients across the nation. Patients with concurrent fixation of an upper extremity, lower extremity, and/or polytrauma were excluded from the study to ensure an isolated cohort of hip fractures was captured. The study cohort was divided into two groups based on where the surgery took place: CAHs and non-CAHs. A 1:1 propensity score match, adjusting for baseline demographics (age, gender, Census Bureau-designated region, and Elixhauser comorbidity index), clinical characteristics (fixation type and time to surgery), and hospital characteristics (whether the hospital was located in a rural ZIP code, the average annual procedure volume of the operating facility, hospital bed size, hospital ownership and teaching status), was used to control for the presence of baseline differences in patients presenting at CAHs and those presenting at non-CAHs. A total of 1,467,482 patients with hip fractures were included, 29,058 of whom underwent surgery in a CAH. After propensity score matching, each cohort (CAH and non-CAH) contained 29,058 patients. Multivariate logistic regression analyses were used to assess for differences in 90-day complications, readmissions, and mortality between the two matched cohorts. As funding policies of CAHs are regulated by Medicare, an evaluation of costs-of-care (by using Medicare payments as a proxy) was conducted. Generalized linear regression modeling was used to assess the 90-day Medicare payments among patients undergoing surgery in a CAH, while controlling for differences in baseline demographics and clinical characteristics.
Patients undergoing surgery for hip fractures were less likely to experience many serious complications at a critical access hospital (CAH) than at a non-CAH. In particular, after controlling for patient demographics, hospital-level factors and procedural characteristics, patients treated at a CAH were less likely to experience: myocardial infarction (3% (916 of 29,058) versus 4% (1126 of 29,058); OR 0.80 [95% CI 0.74 to 0.88]; p < 0.001), sepsis (3% (765 of 29,058) versus 4% (1084 of 29,058); OR 0.69 [95% CI 0.63 to 0.78]; p < 0.001), acute renal failure (6% (1605 of 29,058) versus 8% (2353 of 29,058); OR 0.65 [95% CI 0.61 to 0.69]; p < 0.001), and Clostridium difficile infections (1% (367 of 29,058) versus 2% (473 of 29,058); OR 0.77 [95% CI 0.67 to 0.88]; p < 0.001) than undergoing surgery in a non-CAH. CAHs also had lower rates of all-cause 90-day readmissions (18% (5133 of 29,058) versus 20% (5931 of 29,058); OR 0.83 [95% CI 0.79 to 0.86]; p < 0.001) and 90-day mortality (4% (1273 of 29,058) versus 5% (1437 of 29,058); OR 0.88 [95% CI 0.82 to 0.95]; p = 0.001) than non-CAHs. Further, CAHs also had risk-adjusted lower 90-day Medicare payments than non-CAHs (USD 800, standard error 89; p < 0.001).
Patients who received hip fracture surgical care at CAHs had a lower risk of major medical and surgical complications than those who had surgery at non-CAHs, even though Medicare reimbursements were lower as well. Although there may be some degree of patient selection at CAHs, these facilities appear to provide high-value care to rural communities. These findings provide evidence for policymakers evaluating the impact of the CAH program and allocating funding resources, as well as for community members seeking emergent care at local CAH facilities.
Level III, therapeutic study.
Malik AT
,Bonsu JM
,Roser M
,Khan SN
,Phieffer LS
,Ly TV
,Harrison RK
,Quatman CE
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Is Delayed Time to Surgery Associated with Increased Short-term Complications in Patients with Pathologic Hip Fractures?
Varady NH
,Ameen BT
,Chen AF
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