| Literature DB >> 30574545 |
Abstract
OBJECTIVE: Provider discontinuity is associated with poorer health-care outcomes compared to continuity in studies using retrospective reports of provider (dis)continuity. This study examined unmet needs for care and assessed cost as the reason for and the level of the problem resulting from unmet needs by provider (dis)continuity using longitudinal data.Entities:
Keywords: cost as barrier to care; provider continuity; provider discontinuity; unmet needs for care; unmet needs for care problems
Year: 2018 PMID: 30574545 PMCID: PMC6295814 DOI: 10.1177/2374373518755499
Source DB: PubMed Journal: J Patient Exp ISSN: 2374-3735
Longitudinally Weighted Characteristics of Working-Age Adults (18-64) in the Medical Expenditure Panel Survey (Panels 16 and 17) (n = 10,714).
| Total% (n) | |
|---|---|
| Provider (Dis)continuity | |
| Never had provider | 18.3 (2109) |
| Gained provider | 10.3 (1195) |
| Lost provider | 8.5 (947) |
| Always had provider | 62.9 (6463) |
| Health insurance | |
| Any private | 69.2 (6291) |
| Public only | 12.5 (1960) |
| Uninsured | 18.2 (2463) |
| Poverty status | |
| <100% FPL | 16.8 (2536) |
| 100% to <200% FPL | 18.9 (2466) |
| 200% to <400% FPL | 30.2 (2971) |
| ≥400% FPL | 34.1 (2741) |
| Employed | 75.7 (7666) |
| Education | |
| Less than high school | 9.7 (1733) |
| High school graduate/GED | 25.1 (3021) |
| More than high school | 65.2 (5960) |
| Marital status | |
| Married | 43.0 (4464) |
| Previously married | 23.6 (2524) |
| Never married | 33.4 (3726) |
| Residence in MSA | 85.3 (9336) |
| Multiple chronic conditions | |
| No conditions | 52.0 (5556) |
| 1 condition | 26.2 (2721) |
| ≥2 conditions | 21.8 (2437) |
| Self-rated health | |
| Fair/poor | 12.9 (1691) |
| Good | 27.5 (3188) |
| Very good/excellent | 59.6 (5835) |
| Female | 63.2 (7215) |
| Race/Ethnicity | |
| Hispanic | 14.2 (2808) |
| White, non-Hispanic | 65.5 (4492) |
| Black, non-Hispanic | 13.2 (2476) |
| Other, non-Hispanic | 7.1 (938) |
| Agea | |
| 18-24 | 11.4 (1139) |
| 25-34 | 22.9 (2617) |
| 35-44 | 21.8 (2443) |
| 45-54 | 24.8 (2568) |
| 55-64 | 19.0 (1947) |
Abbreviations: FPL, federal poverty line; MSA, metropolitan statistical area.
aAge at wave 2.
Longitudinally Weighted Unmet Need Outcomes by Provider (Dis)Continuity Among Working-Age Adults (18-64) in the Medical Expenditure Panel Survey, Panels 16 and 17 (n = 10,714).a
| Provider (Dis)Continuity | |||||
|---|---|---|---|---|---|
| Never Had Provider | Gained Provider | Lost Provider | Always Had Provider | ||
| Unable to get needed medical care | |||||
| Wave 2 | 7.3 (159)e | 6.8 (87)e | 5.1 (45) | 3.4 (224)b,c | .0000 |
| Wave 4 | 6.2 (126)e | 6.1 (68)e | 7.5 (70)e | 3.7 (225)b,c,d | .0000 |
| Delayed in getting needed medical care | |||||
| Wave 2 | 5.5 (103) | 6.5 (75) | 4.9 (45) | 5.3 (349) | .5272 |
| Wave 4 | 5.4 (103) | 6.2 (69) | 5.7 (52) | 5.9 (366) | .8695 |
| Unable to get needed dental care | |||||
| Wave 2 | 9.9 (220)e | 8.2 (98) | 9.4 (78)e | 6.6 (436)b,d | .0013 |
| Wave 4 | 9.1 (188)e | 8.4 (103)e | 8.4 (83)e | 6.0 (433)b,c,d | .0005 |
| Delayed in getting needed dental care | |||||
| Wave 2 | 7.4 (137)e | 7.1 (68) | 7.1 (57) | 5.7 (357)b | .1815 |
| Wave 4 | 6.1 (121)c | 8.3 (95)b,d,e | 4.8 (50)c | 5.9 (359)c | .0298 |
| Unable to get needed prescription medications | |||||
| Wave 2 | 4.2 (92) | 5.6 (65)e | 4.9 (48) | 3.4 (224)c | .0459 |
| Wave 4 | 4.0 (93)e | 3.9 (49) | 5.9 (53)e | 2.9 (204)b,d | .0008 |
| Delayed in getting needed prescription medications | |||||
| Wave 2 | 3.2 (68)e | 3.8 (46) | 3.7 (32) | 4.7 (288)b | .1111 |
| Wave 4 | 3.8 (79) | 4.0 (49) | 4.5 (36) | 4.9 (313) | .3760 |
aThere were no significant differences between access to care outcomes between waves 2 and 4.
bSignificantly different from “never had provider” (P < .05).
cSignificantly different from “gained provider” (P < .05).
dSignificantly different from “lost provider” (P < .05).
eSignificantly different from “always had provider” (P < .05).
Figure 1.Adjusted odds ratios (95% CI) of unmet needs for care during wave 4 by provider (dis)continuity among working-age adults (18-64) who did not report unmet needs for care during wave 2, Medical Expenditure Panel Survey (Panels 16 and 17). aPersons who gained USC were 1.6 (95% CI: 1.1-2.3) times more likely than those who never had USC and 1.9 (95% CI: 1.2-3.0) times more likely than those who lost USC to delay dental care. Logistic regression of outcome at wave 4 on USC discontinuity, health insurance, poverty status, employment status, educational attainment, marital status, MSA residence, multiple chronic conditions, self-rated health, sex, race/ethnicity, and age among persons who did not reported unmet needs for care at wave 2. Reference category is provider continuity. Analyses were longitudinally weighted. CI, confidence interval; MSA, metropolitan statistical area.
Figure 2.Adjusted odds ratios (95% CI) of unmet needs for care during wave 4 by provider (dis)continuity among working-age adults (18-64) who reported unmet needs for care during wave 2, Medical Expenditure Panel Survey (Panels 16 and 17). Logistic regression of outcome at wave 4 on USC discontinuity, health insurance, poverty status, employment status, educational attainment, marital status, MSA residence, multiple chronic conditions, self-rated health, sex, race/ethnicity, and age among persons who reported unmet needs for care at wave 2. Reference category is provider continuity. Analyses were longitudinally weighted. CI, confidence interval; MSA, metropolitan statistical area.
Longitudinally Weighted Unmet Need Reasons and Problem at Wave 4 by Provider (Dis)Continuity Among Working-Age Adults (18-64) Who Reported Unmet Needs in the Medical Expenditure Panel Survey (Panels 16 and 17).a
| Provider (Dis)Continuity | |||||
|---|---|---|---|---|---|
| Never Had Provider | Gained Provider | Lost Provider | Always Had Provider | ||
| Unmet need for care due to cost | |||||
| Unable to get medical care (n = 488) | |||||
| % (n) | 85.7 (113)c,e | 62.8 (43)b,e | 78.7 (58)d | 44.8 (116)b,c,d | .0000 |
| AOR (95% CI) | 4.1 (1.7-9.9)c,e | 1.0 (0.3-2.9)b | 3.7 (1.4-9.7)e | (ref.) | |
| Delayed medical care (n = 590) | |||||
| % (n) | 69.0 (81)c,e | 46.6 (36)b,e | 56.4 (32)e | 29.1 (113)b,c,d | .0000 |
| AOR (95% CI) | 2.8 (1.2-6.5)c,e | 1.0 (0.5-2.0)b | 1.8 (0.7-4.6) | (ref.) | |
| Unable to get dental care (n = 807) | |||||
| % (n) | 90.0 (176)e | 87.2 (89) | 83.9 (69) | 77.6 (328)b | .0456 |
| AOR (95% CI) | 1.5 (0. | 1.6 (0. | 1.3 (0. | (ref.) | |
| Delayed dental care (n = 625) | |||||
| % (n) | 76.9 (100)e | 70.6 (72) | 70.3 (37) | 61.9 (220)b | .1013 |
| AOR (95% CI) | 1.4 (0. | 1.3 (0. | 1.7 (0. | (ref.) | |
| Unable to get prescription medications (n = 399) | |||||
| % (n) | 86.8 (82)e | 71.1 (34) | 71.8 (42) | 63.0 (132)b | .0247 |
| AOR (95% CI) | 1.9 (0.8-5.0) | 0.8 (0.3-2.0) | 1.2 (0.4-3.2) | (ref.) | |
| Delayed prescription medications (n = 477) | |||||
| % (n) | 63.0 (58)e | 63.6 (33)e | 44.1 (22) | 40.8 (138)b,c | .0211 |
| AOR (95% CI) | 1.4 (0.6-3.3) | 1.8 (0.7-4.5) | 1.2 (0.4-3.4) | (ref.) | |
| Unmet need for care was a big problem | |||||
| Unable to get medical care (n = 486) | |||||
| % (n) | 67.4 (87) | 64.4 (52) | 72.9 (53) | 67.0 (148) | .8738 |
| AOR (95% CI) | 1.6 (0.8-3.4) | 1.0 (0.4-2.6) | 1.6 (0.6-3.8) | (ref.) | |
| Delayed medical care (n = 588) | |||||
| % (n) | 75.6 (82)e | 63.0 (47) | 75.3 (40)e | 52.2 (208)b,d | .0033 |
| AOR (95% CI) | 2.4 (1.1-5.4)e | 1.2 (0.5-2.9) | 2.9 (1.2-7.0)e | (ref.) | |
| Unable to get dental care (n = 804) | |||||
| % (n) | 61.7 (120)d | 65.2 (71) | 76.4 (64)b | 65.1 (288) | .2775 |
| AOR (95% CI) | 1.1 (0.7-1.9) | 1.1 (0.6-2.0) | 1.9 (0.9-4.1) | (ref.) | |
| Delayed dental care (n = 625) | |||||
| % (n) | 58.2 (79) | 58.4 (62) | 69.9 (37) | 52.2 (198) | .2898 |
| AOR (95% CI) | 1.3 (0.6-2.7) | 1.4 (0.7-2.7) | 2.8 (1.2-6.6)e | (ref.) | |
| Unable to get prescription medications (n = 394) | |||||
| % (n) | 79.8 (71) | 79.0 (40) | 83.4 (43) | 77.3 (154) | .8778 |
| AOR (95% CI) | 0.8 (0.3-2.4) | 0.9 (0.3-2.4) | 2.0 (0.7-5.5) | (ref.) | |
| Delayed prescription medications (n = 474) | |||||
| % (n) | 74.7 (62) | 70.1 (35) | 66.7 (26) | 61.4 (199) | .4301 |
| AOR (95% CI) | 2.3 (0.9-5.6) | 1.7 (0.6-4.6) | 2.0 (0.7-6.2) | (ref.) | |
Abbreviations: AOR, adjusted odds ratios; CI, confidence interval.
aAOR (95% CI) from logistic regression controlling for health insurance, poverty status, employment status, educational attainment, marital status, MSA residence, multiple chronic conditions, self-rated health, sex, race/ethnicity, and age. Sample sizes vary due to the number of respondents who reported each type of unmet need for care. People who did not know or refused to give the reason or whether unmet needs for care were a big problem were excluded from these analyses.
bSignificantly different from “never had provider” (P < .05).
cSignificantly different from “gained provider” (P < .05).
dSignificantly different from “lost provider” (P < .05).
eSignificantly different from “always had provider” (P < .05).