Table 9.

Ordered Logistic Regression Models on Higher Likelihood to Choose a New HIV Remission Strategy Over Standard Daily ART Under Scenarios 1–7 (United States, 2018)

	Increased likelihood of choosing remission strategy over daily ART if…
	No more daily pills, but must go to lab/clinic much more often (e.g., every 2 weeks) [Scenario 1]	No more daily pills, but very small increase in chance of passing HIV on to sex partner [Scenario 2]	New strategy causes worse side effects initially but went away eventually [Scenario 3]	Never take HIV medications again, but very small increase in risk of health problems (e.g., cancer) [Scenario 4]	Uncertainty of new strategy working, but need to stop taking the HIV medication to find out [Scenario 5]	New strategy might not increase life expectancy [Scenario 6]	New strategy might not increase quality of life [Scenario 7]
Relatively more risk averse than other participants	0.97a [0.96–0.99]	0.97a [0.96–0.99]	0.97a [0.95–0.98]	0.96a [0.95–0.98]	0.97a [0.95–0.98]	0.98a [0.96–0.99]	0.96a [0.95–0.98]
Relatively more motivated by benefits than other participants	1.04a [1.02–1.05]	1.02b [1.00–1.03]	1.03a [1.02–1.05]	1.02a [1.01–1.03]	1.01b [1.00–1.03]	1.01	1.02a [1.00–1.03]
Cis or trans woman (vs. cis man)	1.29	0.90	0.55	0.95	0.90	0.65	0.53
Age	0.99	1.02	0.97b [0.94–1.00]	0.98	0.99	0.98	0.97b [0.94–1.00]
African American/black (vs. Caucasian/white)	1.83	1.07	0.58	0.58	0.50	1.12	1.37
Other race (vs. Caucasian/white)	0.95	1.26	0.56	0.84	0.83	0.49	0.45
Hispanic	1.05	0.69	0.78	1.09	0.73	0.65	0.52
Some college or 2-year degree (vs. high school diploma)	0.30b [0.10–0.93]	0.44	2.67	1.32	2.07	1.97	1.88
4-year college degree (vs. high school diploma)	0.21b [0.06–0.70]	0.38	0.88	1.56	0.94	1.14	1.47
Master's or Doctorate degree (vs. high school diploma)	0.33	1.01	2.45	5.21b [1.39–19.56]	1.73	2.82	3.34
Married or living with a partner	1.34	0.76	0.71	1.14	0.70	0.72	0.70
Annual household income exceeds $50,000	0.73	0.70	4.48a [1.73–11.57]	1.98	1.32	1.60	2.37
Midwest (vs. Northeast)	1.44	1.15	1.44	1.14	0.96	1.51	1.25
South (vs. Northeast)	2.37	1.83	2.31	1.78	1.58	3.01b [1.16–7.76]	1.97
West (vs. Northeast)	1.79	1.26	1.89	1.41	0.82	2.03	1.49
Has a regular, full-time job (vs. no job)	1.12	0.75	0.82	0.82	1.84	0.89	0.59
Has a regular, part-time job (vs. no job)	0.68	0.42	1.28	0.41	1.09	0.68	0.83
Mostly able to pay expenses but late (vs. unable to pay expenses)	0.91	0.60	1.02	0.90	1.51	1.59	2.49
Able to pay expenses, no savings (vs. unable to pay expenses)	0.81	0.84	1.31	1.20	1.53	1.69	2.26
Able to pay expenses, has savings (vs. unable to pay expenses)	0.84	1.31	1.19	0.66	1.13	2.04	1.99
Percentage of lifetime living with HIV or AIDS diagnosis	0.23	0.11b [0.02–0.70]	0.94	0.13b [0.02–0.80]	0.59	0.84	0.68
Self-assessed health status is in the poorest quartile of participants	1.05	0.78	0.94	2.10	0.87	1.67	1.37
Volunteered for an HIV treatment trial in the past	0.77	1.26	2.47b [1.08–5.65]	1.90	2.55b [1.19–5.49]	3.10a [1.44–6.67]	3.68a [1.66–8.15]
Only 0 or 1 pill or tablet of HIV medication per day (vs. more)	0.63	1.16	0.95	0.37b [0.17–0.83]	0.67	1.14	1.03
Take HIV medication two or more times per day (vs. once/never)	1.23	4.69a [1.60–13.76]	0.76	0.92	0.57	0.99	1.06
HIV medication timing is affected by food/other drugs	0.93	1.58	1.44	2.22b [1.13–4.37]	0.90	0.47b [0.23–0.94]	0.70
Current HIV medication causes side effects	0.65	0.42b [0.20–0.88]	0.75	0.63	0.68	0.55	0.79
n =	168	167	168	170	170	168	167
p =	.0000	.0008	.0000	.0000	.0004	.0015	.0001
Psuedo R2 =	0.1483	0.1111	0.1557	0.1323	0.1084	0.1012	0.1223

Numbers in square brackets are the 95% CI of coefficients that are statistically significant at the 5% level.

^aStatistically significant at 1% level.

^bStatistically significant at 5% level.