| Literature DB >> 35816312 |
Michael C Jin1, Michael Jensen1, Zeyi Zhou1, Adrian Rodrigues1, Alexander Ren1, Maria Isabel Barros Guinle1, Anand Veeravagu1, Corinna C Zygourakis1, Atman M Desai1, John K Ratliff1.
Abstract
Importance: Research has uncovered heterogeneity and inefficiencies in the management of idiopathic low back pain, but few studies have examined longitudinal care patterns following newly diagnosed neck pain. Objective: To understand health care utilization in patients with new-onset idiopathic neck pain. Design, Setting, and Participants: This cross-sectional study used nationally sourced longitudinal data from the IBM Watson Health MarketScan claims database (2007-2016). Participants included adult patients with newly diagnosed neck pain, no recent opioid use, and at least 1 year of continuous postdiagnosis follow-up. Exclusion criteria included prior or concomitant diagnosis of traumatic cervical disc dislocation, vertebral fractures, myelopathy, and/or cancer. Only patients with at least 1 year of prediagnosis lookback were included. Data analysis was performed from January 2021 to January 2022. Main Outcomes and Measures: The primary outcome of interest was 1-year postdiagnosis health care expenditures, including costs, opioid use, and health care service utilization. Early services were those received within 30 days of diagnosis. Multivariable regression models and regression-adjusted statistics were used.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35816312 PMCID: PMC9280399 DOI: 10.1001/jamanetworkopen.2022.22062
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Cohort Characteristics
| Characteristic | Patients, No. (%) | |||||
|---|---|---|---|---|---|---|
| Matched | Not matched | |||||
| Nonsurgical (n = 7607) | Surgical (n = 7607) | Nonsurgical (n = 671 172) | Surgical (n = 7858) | |||
| Age group, y | ||||||
| 18-29 | 110 (1.4) | 110 (1.4) | >.99 | 113 863 (17.0) | 104 (1.4) | <.001 |
| 30-39 | 1019 (13.4) | 1019 (13.4) | 139 510 (20.8) | 1029 (13.1) | ||
| 40-49 | 2791 (36.8) | 2791 (36.8) | 170 968 (25.5) | 2866 (36.5) | ||
| 50-59 | 2529 (33.2) | 2529 (33.2) | 144 851 (21.6) | 2612 (33.2) | ||
| 60-69 | 1012 (13.3) | 1012 (13.3) | 68 565 (10.2) | 1080 (13.7) | ||
| 70-79 | 124 (1.6) | 124 (1.6) | 18 496 (2.8) | 141 (1.8) | ||
| ≥80 | 22 (0.3) | 22 (0.3) | 14 919 (2.2) | 26 (0.3) | ||
| Age, mean (SD), y | 49.49 (9.53) | 49.49 (9.53) | .99 | 44.62 (14.87) | 49.69 (9.53) | <.001 |
| Sex | ||||||
| Male | 4505 (59.2) | 4505 (59.2) | >.99 | 306 016 (45.6) | 4649 (59.2) | <.001 |
| Female | 3102 (40.8) | 3102 (40.8) | 365 156 (54.4) | 3209 (40.8) | ||
| Comorbidities | ||||||
| Congestive heart failure | 29 (0.4) | 29 (0.4) | >.99 | 6654 (1.0) | 53 (0.7) | .006 |
| Cardiac arrhythmia | 182 (2.4) | 182 (2.4) | >.99 | 23 417 (3.5) | 229 (2.9) | .006 |
| Valvular disease | 103 (1.4) | 103 (1.4) | >.99 | 13 767 (2.1) | 150 (1.9) | .40 |
| Pulmonary circulation disorders | 14 (0.2) | 14 (0.2) | >.99 | 2007 (0.3) | 30 (0.4) | .22 |
| Peripheral vascular disorders | 68 (0.9) | 68 (0.9) | >.99 | 10 169 (1.5) | 102 (1.3) | .13 |
| Hypertension, uncomplicated | 2026 (26.6) | 2026 (26.6) | >.99 | 134 400 (20.0) | 2183 (27.8) | <.001 |
| Hypertension, complicated | 64 (0.8) | 64 (0.8) | >.99 | 8082 (1.2) | 100 (1.3) | .62 |
| Paralysis | <10 (NA) | <10 (NA) | >.99 | 523 (0.1) | 17 (0.2) | <.001 |
| Other neurological disorders | 94 (1.2) | 94 (1.2) | >.99 | 12 295 (1.8) | 123 (1.6) | .09 |
| Chronic pulmonary disease | 485 (6.4) | 485 (6.4) | >.99 | 43 996 (6.6) | 555 (7.1) | .07 |
| Diabetes, uncomplicated | 780 (10.3) | 780 (10.3) | >.99 | 51 084 (7.6) | 883 (11.2) | <.001 |
| Diabetes, complicated | 134 (1.8) | 134 (1.8) | >.99 | 10 917 (1.6) | 188 (2.4) | <.001 |
| Hypothyroidism | 458 (6.0) | 458 (6.0) | >.99 | 45 392 (6.8) | 512 (6.5) | .40 |
| Kidney failure | 25 (0.3) | 25 (0.3) | >.99 | 5613 (0.8) | 44 (0.6) | .009 |
| Liver disease | 89 (1.2) | 89 (1.2) | >.99 | 8303 (1.2) | 119 (1.5) | .03 |
| Peptic ulcer disease excluding bleeding | 19 (0.2) | 19 (0.2) | >.99 | 1401 (0.2) | 31 (0.4) | .001 |
| AIDS/HIV | 11 (0.1) | 11 (0.1) | >.99 | 920 (0.1) | 15 (0.2) | .26 |
| Rheumatoid arthritis or collagen disorder | 100 (1.3) | 100 (1.3) | >.99 | 10 800 (1.6) | 134 (0.0) | .53 |
| Coagulopathy | <10 (NA) | <10 (NA) | >.99 | 2560 (0.4) | 26 (0.3) | .53 |
| Obesity | 250 (3.3) | 250 (3.3) | >.99 | 24 874 (3.7) | 299 (3.8) | .67 |
| Weight loss | 39 (0.5) | 39 (0.5) | >.99 | 4845 (0.7) | 61 (0.8) | .62 |
| Fluid and electrolyte disorders | 88 (1.2) | 88 (1.2) | >.99 | 11 238 (1.7) | 122 (1.6) | .43 |
| Blood loss anemia | <10 (NA) | <10 (NA) | >.99 | 1094 (0.2) | <10 (NA) | .04 |
| Deficiency anemia | 57 (0.7) | 57 (0.7) | >.99 | 10 195 (1.5) | 91 (1.2) | .01 |
| Alcohol abuse | 40 (0.5) | 40 (0.5) | >.99 | 4650 (0.7) | 58 (0.7) | .68 |
| Drug abuse | 22 (0.3) | 22 (0.3) | >.99 | 3360 (0.5) | 34 (0.4) | .44 |
| Psychoses | <10 (NA) | <10 (NA) | >.99 | 2948 (0.4) | 22 (0.3) | .04 |
| Depression | 526 (6.9) | 526 (6.9) | >.99 | 52 936 (7.9) | 598 (7.6) | .38 |
Abbreviation: NA, not applicable.
Percentages could not be calculated for cells of fewer than 10 participants.
Per Capita Estimation of Health Care Costs and Opioid Use (1 Year After Diagnosis)
| Characteristics | Estimate, mean (SD) | |||||
|---|---|---|---|---|---|---|
| Matched | Not matched | |||||
| Nonsurgical | Surgical | Nonsurgical | Surgical | |||
| Health care costs, $ | ||||||
| Unadjusted | 557.05 (1516.83) | 24 240.83 (20 716.16) | <.001 | 515.62 (1578.86) | 24 157.15 (21 091.8) | <.001 |
| Regression adjusted | 553.39 (124.88) | 24 267.55 (4658.68) | <.001 | 515.69 (93.17) | 24 327.57 (4044.37) | <.001 |
| Opioid use, No. of prescribed-days | ||||||
| Unmatched | 5.87 (27.12) | 32.26 (52.77) | <.001 | 5.63 (27.43) | 32.51 (53.03) | <.001 |
| Regression adjusted | 5.64 (1.78) | 32.52 (7.93) | <.001 | 5.63 (2.61) | 33.66 (9.62) | <.001 |
Figure 1. Weekly Health Care Utilization Following Early Imaging and Opioids
Graphs show that early imaging (A) and early opioid use (B) were associated with elevated health care utilization in terms of weekly aggregate costs. Shaded areas denote 95% CIs.
Figure 2. Weekly Health Care Utilization Following Early Conservative Therapy
Graphs show that early conservative therapy use was associated with decreased long-term health care spending (A), resulting in 40% to 65% decreased costs (B). Shaded areas indicate 95% CIs.
Figure 3. Use of Epidural Steroid Injections Stratified by Early Pain Management
Graphs show differential epidural steroid injection use according to use of imaging and early conservative therapy (A) and opioids (B). Error bars indicate 95% CIs.