| Literature DB >> 35187509 |
Rachel S Bronheim1, Khaled M Kebaish1, Amit Jain1, Brian J Neuman1, Richard L Skolasky1.
Abstract
BACKGROUND: Public health measures during the COVID-19 pandemic have disrupted access to basic resources (income, food, housing, healthcare). The effects may impact patients differently based on socioeconomic status (SES), pre-existing psychological distress, and patient activation (knowledge, skills, and motivation to manage healthcare). We examined changes in access to basic resources and in pain and health-related quality of life (HRQoL) during the pandemic and determined how pre-existing psychological distress and patient activation are associated with exacerbation or mitigation of effects on pain and HRQoL.Entities:
Keywords: Anxiety; COVID-19; Depression; Patient activation; Patient-reported outcomes; Spine surgery
Year: 2022 PMID: 35187509 PMCID: PMC8840868 DOI: 10.1016/j.xnsj.2022.100103
Source DB: PubMed Journal: N Am Spine Soc J ISSN: 2666-5484
Fig. 1Study timeline for 296 patients who had undergone spine surgery and contributed data to both a longitudinal cohort study and a survey of the impact of COVID-19 on access to basic resources (including healthcare), pain, and health-related quality of life (HRQoL).
Sociodemographic and clinical characteristics of 431 patients having undergone or scheduled for spine surgery responding to a COVID-19 Impact Survey between May 1, 2020 and July 31, 2020
| Characteristics | N (%) | p-value | ||||
|---|---|---|---|---|---|---|
| Overall (N = 431) | Preoperative (N = 135) | Postoperative (N = 296) | ||||
| 1–12 months (N = 178) | 12–24 months (N = 35) | >24 months (N = 83) | ||||
| Age, years | 61 ± 15 | 58 ± 17 | 61 ± 14 | 63 ± 12 | 62 ± 13 | 0.168 |
| Gender | 0.560 | |||||
| Male | 194 (45) | 68 (50) | 75 (42) | 13 (37) | 38 (46) | |
| Female | 234 (54) | 67 (50) | 101 (57) | 22 (63) | 44 (53) | |
| Unknown/refused | 3 (<1) | 0 (0) | 2 (1) | 0 (0) | 1 (1) | |
| Race | 0.486 | |||||
| American Indian | 2 (<1) | 2 (1) | 0 (0) | 0 (0) | 0 (0) | |
| Asian | 15 (3) | 3 (2) | 7 (4) | 1 (3) | 4 (5) | |
| Black | 44 (10) | 13 (10) | 14 (8) | 6 (17) | 11 (13) | |
| White | 348 (81) | 114 (84) | 145 (81) | 26 (74) | 63 (76) | |
| Multiracial | 6 (1) | 0 (0) | 3 (2) | 1 (3) | 2 (2) | |
| Unknown/refused | 16 (4) | 3 (2) | 9 (5) | 1 (3) | 3 (4) | |
| Ethnicity | 0.078 | |||||
| Hispanic | 13 (3) | 3 (2) | 9 (5) | 1 (3) | 0 (0) | |
| Non-Hispanic | 397 (92) | 130 (96) | 156 (88) | 32 (91) | 79 (95) | |
| Unknown/refused | 21 (5) | 2 (1) | 13 (7) | 2 (6) | 4 (5) | |
| Educational level | 0.613 | |||||
| <4-year college degree | 120 (28) | 40 (30) | 50 (28) | 12 (34) | 18 (22) | |
| 4-year college degree | 97 (23) | 28 (21) | 50 (28) | 5 (14) | 14 (17) | |
| Postgraduate degree | 117 (27) | 37 (27) | 57 (32) | 11 (31) | 12 (14) | |
| Unknown/refused | 97 (23) | 30 (22) | 21 (12) | 7 (20) | 39 (47) | |
| Household Income | 0.408 | |||||
| ≤$50,000 | 68 (16) | 20 (15) | 34 (19) | 3 (9) | 11 (13) | |
| >$50,000 | 207 (48) | 64 (47) | 95 (53) | 22 (63) | 26 (31) | |
| Unknown/refused | 156 (36) | 51 (38) | 49 (28) | 10 (29) | 46 (55) | |
| Living alone | 0.721 | |||||
| Yes | 125 (29) | 40 (30) | 54 (30) | 10 (29) | 21 (25) | |
| No | 304 (71) | 95 (70) | 122 (69) | 25 (71) | 62 (75) | |
| Unknown/refused | 2 (<1) | 0 (0) | 2 (1) | 0 (0) | 0 (0) | |
| Currently working | 0.101 | |||||
| Yes | 137 (32) | 55 (41) | 52 (29) | 8 (23) | 22 (27) | |
| No | 292 (68) | 80 (59) | 124 (70) | 27 (77) | 61 (73) | |
| Unknown/refused | 2 (<1) | 0 (0) | 2 (1) | 0 (0) | 0 (0) | |
| If not working, reason | 0.323 | |||||
| Retired (not because of illness) | 145 (50) | 35 (44) | 63 (51) | 16 (59) | 31 (50) | |
| Disabled/retired because of illness | 87 (30) | 33 (41) | 25 (21) | 8 (30) | 21 (34) | |
| Looking for work | 5 (2) | 3 (4) | 2 (2) | 0 (0) | 0 (0) | |
| Choose not to work | 9 (3) | 2 (2) | 4 (3) | 1 (4) | 1 (2) | |
| Attending school | 5 (2) | 3 (4) | 2 (2) | 0 (0) | 0 (0) | |
| Unknown/refused | 41 (14) | 4 (5) | 28 (23) | 2 (7) | 8 (13) | |
| Current smoker | 0.560 | |||||
| Yes | 27 (6) | 11 (8) | 8 (4) | 3 (9) | 5 (6) | |
| No | 402 (93) | 124 (92) | 168 (94) | 32 (91) | 78 (94) | |
| Unknown/refused | 2 (<1) | 0 (0) | 2 (1) | 0 (0) | 0 (0) | |
| Charlson Comorbidity Index | 0.59 ± 0.35 | 0.66 ± 0.35 | 0.59 ± 0.34 | 0.54 ± 0.36 | 0.52 ± 0.36 | 0.131 |
| Spine condition | 0.469 | |||||
| Lumbar degeneration | 229 (53) | 69 (51) | 89 (50) | 23 (66) | 48 (58) | |
| Cervical degeneration | 118 (27) | 39 (29) | 55 (31) | 7 (20) | 17 (20) | |
| Deformity | 84 (19) | 27 (20) | 34 (19) | 5 (14) | 18 (22) | |
COVID-19, coronavirus disease 2019.
Comparison among time since surgery groups using analysis of variance
Reported as mean ± standard deviation.
No patients self-identified as Hawaiian/Pacific Islander.
The Charlson Comorbidity Index ranges from 0 to 1 and predicts 10-year mortality in patients with multiple comorbid conditions.
Responses of 431 patients having undergone or scheduled for spine surgery regarding access to basic resources and healthcare during the COVID-19 pandemic, by income and educational level
| COVID-19 Effects | Annual Household Income | Educational Level | p-value | ||||
|---|---|---|---|---|---|---|---|
| ≤$50,000 | >$50,000 | p-value | <College | College | Postgraduate | ||
| Loss of income | 0.404 | 0.741 | |||||
| Yes | 15 (22) | 30 (15) | 17 (14) | 19 (20) | 21 (18) | ||
| No | 51 (75) | 168 (81) | 96 (80) | 76 (78) | 91 (78) | ||
| Unknown/refused | 2 (3) | 9 (4) | 7 (6) | 2 (2) | 5 (4) | ||
| Difficulty affording | 0.258 | 0.180 | |||||
| Rent | 3 (4) | 1 (<1) | 1 (2) | 1(1) | 1 (1) | ||
| Mortgage | 2 (3) | 6 (3) | 2 (2) | 4 (4) | 2 (2) | ||
| Food | 2 (3) | 2 (1) | 3 (3) | 2 (2) | 1 (1) | ||
| Healthcare | 0 (0) | 2 (1) | 2 (2) | 2 (2) | 0 (0) | ||
| Other | 3 (4) | 8 (4) | 3 (1) | 2 (2) | 7 (6) | ||
| Difficulty getting food | 0.693 | 0.995 | |||||
| Yes | 11 (16) | 29 (14) | 16 (13) | 13 (13) | 15 (13) | ||
| No | 57 (84) | 175 (85) | 103 (86) | 84 (87) | 100 (85) | ||
| Unknown/refused | 0 (0) | 3 (1) | 1 (1) | 0 (0) | 2 (2) | ||
| Canceled appointment | 0.636 | 0.910 | |||||
| Yes | 31 (46) | 86 (42) | 50 (42) | 44 (45) | 49 (42) | ||
| No | 36 (53) | 115 (55) | 67 (56) | 53 (55) | 63 (54) | ||
| Unknown/refused | 1 (1) | 6 (3) | 3 (2) | 0 (0) | 5 (4) | ||
| Unable to obtain prescription medication | 0.354 | 0.334 | |||||
| Yes | 5 (7) | 10 (5) | 6 (5) | 6 (6) | 5 (4) | ||
| No | 61 (90) | 187 (90) | 110 (92) | 85 (88) | 109 (93) | ||
| No prescriptions | 0 (0) | 6 (3) | 3 (2) | 3 (3) | 1 (1) | ||
| Unknown/refused | 2 (3) | 4 (2) | 1 (1) | 3 (3) | 2 (2) | ||
COVID-19, coronavirus disease 2019.
Comparison between income groups using Student t-tests.
Comparison among educational groups using analysis of variance.
Annual household income was available for 275 respondents
Educational level was available for 334 respondents
Pain and quality-of-life outcomes reported by 296 patients who had undergone spine surgery, as measured by a numeric pain scale and the PROMIS 29-Item Profile at preoperative, pre-pandemic postoperative, and during COVID-19
| Outcome Measure | Mean ± Standard Deviation | P value | |||
|---|---|---|---|---|---|
| Preoperative | Last pre-COVID-19 Postoperative | COVID-19 | Change from Last pre-COVID-19 postoperative to COVID-19 | ||
| Worst pain rating | |||||
| Back | 7.6 ± 2.5 | 4.4 ± 3.1 | 5.4 ± 3.2 | 0.57 ± 3.0 | .027 |
| Leg | 6.5 ± 3.3 | 3.3 ± 3.2 | 4.4 ± 3.4 | 0.74 ± 3.4 | .013 |
| Neck | 5.8 ± 3.1 | 4.0 ± 2.8 | 3.2 ± 3.1 | −0.02 ± 2.8 | .962 |
| Arm | 4.6 ± 3.4 | 2.9 ± 3.0 | 3.4 ± 3.1 | 0.10 ± 2.6 | .756 |
| PROMIS health domain | |||||
| Pain interference | 65 ± 7.9 | 59 ± 9.2 | 60 ± 10 | 0.84 ± 10 | .303 |
| Physical function | 36 ± 7.2 | 39 ± 8.7 | 40 ± 9.3 | −2.4 ± 7.5 | <.001 |
| Fatigue | 55 ± 10.0 | 52 ± 10 | 48 ± 12 | 3.7 ± 9.6 | <.001 |
| Anxiety | 53 ± 9.6 | 49 ± 9.9 | 50 ± 9.4 | 0.64 ± 12 | .510 |
| Depression | 51 ± 8.9 | 49 ± 9.1 | 48 ± 8.8 | 0.29 ± 8.0 | .662 |
| Sleep disturbance | 55 ± 8.7 | 52 ± 9.5 | 53 ± 9.7 | 0.62 ± 8.4 | .365 |
| Satisfaction with participation in social roles | 42 ± 8.7 | 44 ± 10 | 46 ± 11 | .048 | |
COVID-19, coronavirus disease 2019; PROMIS, Patient-Reported Outcome Measurement Information System.
P-value reflects change from last postoperative to COVID-19 assessment
Fig. 2Proportion of 296 patients who had undergone spine surgery and who reported worsening pain and quality of life outcomes, as measured by the Patient-Reported Outcome Measurement Information System 29-Item Profile, between their final postoperative visit pre pandemic and the time of their COVID-19 Impact Survey, stratified by presence of psychological distress (symptoms of depression/anxiety). Worsening outcomes were those that met or exceeded established minimum clinically important difference thresholds. *Indicates significant difference between groups (p<.05). “Social roles” indicates satisfaction with participation in social roles.
Quality-of-life outcomes, as measured by Patient-Reported Outcomes Measurement Information System 29 Health Profile, stratified by psychological distress and patient activation levels for 296 patients who had undergone spine surgery
| Parameter | Pain Interference | Physical Function | Fatigue | Sleep Disturbance | Satisfaction with Social Roles | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mean (SE) | p-value | Mean (SE) | p-value | Mean (SE) | p-value | Mean (SE) | p-value | Mean (SE) | p-value | |
| Gender | ||||||||||
| Male | Referent | Referent | Referent | Referent | Referent | |||||
| Female | 2.8 (0.97) | 0.004 | −3.2 (0.96) | <0.001 | 2.4 (1.1) | 0.039 | 2.0 (0.95) | 0.036 | −3.2 (1.1) | 0.002 |
| Psychological distress | ||||||||||
| None | Referent | Referent | Referent | Referent | Referent | |||||
| Anxiety | 2.6 (1.3) | 0.050 | −3.2 (1.2) | 0.008 | 2.4 (1.6) | 0.136 | 2.4 (1.6) | 0.126 | −2.5 (1.2) | 0.034 |
| Depression | 5.8 (1.3) | <0.001 | −3.1 (1.5) | 0.037 | 7.1 (1.8) | <0.001 | 4.1 (1.8) | 0.019 | −7.5 (1.4) | <0.001 |
| Patient activation | ||||||||||
| Low | Referent | Referent | Referent | Referent | Referent | |||||
| High | 0.79 (1.2) | 0.502 | 0.04 (0.95) | 0.997 | 3.0 (1.3) | 0.025 | 1.6 (1.2) | 0.199 | 1.6 (1.3) | 0.209 |
| Assessment timepoint | ||||||||||
| Preoperative | Referent | Referent | Referent | Referent | Referent | |||||
| Pre-pandemic1 | −6.5 (0.83) | <0.001 | 5.0 (0.71) | <0.001 | −4.0 (0.78) | <0.001 | −4.0 (0.83) | <0.001 | 4.6 (0.95) | <0.001 |
| COVID-19 | −8.0 (0.84) | <0.001 | 5.5 (0.67) | <0.001 | −4.4 (0.79) | <0.001 | −3.9 (0.76) | <0.001 | 6.1 (0.85) | <0.001 |
| Assessment interaction | ||||||||||
| High patient activation × pre-pandemic | –3.0 (1.4) | 0.038 | 3.6 (1.2) | 0.003 | –1.8 (1.4) | 0.201 | –1.9 (1.6) | 0.248 | 2.2 (1.6) | 0.169 |
| High patient activation × COVID-19 | –2.2 (1.7) | 0.188 | 2.7 (1.2) | 0.031 | 0.22 (1.5) | 0.889 | –0.98 (1.6) | 0.544 | 2.3 (1.8) | 0.210 |
COVID-19, coronavirus disease 2019; SE, standard error.
Pre-pandemic refers to the last pre-COVID-19 postoperative assessment completed.