An empirical tool for estimating the share of unmet need due to healthcare inefficiencies, suboptimal access, and lack of effective technologies

Table 1 Utility scores of 2013 NHWS survey respondents by demographics, disease severity, access and utilization

	EU5			US
	N	%	Mean utility	N	%	Mean utility
Age group
18–34	16,964	27%	0.73	19,421	26%	0.73
35–54	24,005	39%	0.73	26,293	35%	0.75
55–74	19,266	31%	0.72	25,821	34%	0.76
75+	1765	3%	0.69	3465	5%	0.75
Gender
Female	33,305	54%	0.71	38,711	52%	0.74
Male	28,695	46%	0.74	36,289	48%	0.75
Number of comorbidities
0	26,067	42%	0.77	26,363	35%	0.79
1	13,836	22%	0.73	14,800	20%	0.76
2	9056	15%	0.70	10,915	15%	0.75
3 or more	13,041	21%	0.64	22,922	31%	0.69
Cost prevented medication use
No	54,733	88%	0.73	58,012	77%	0.77
Yes	7267	12%	0.65	16,988	23%	0.68
Used a cost cutting strategy for medications
No	47,138	76%	0.74	44,343	59%	0.78
Yes	14,862	24%	0.66	30,657	41%	0.71
Doctor was attentive to needs and concerns
No	8565	14%	0.70	6717	9%	0.71
Yes	53,435	86%	0.73	68,283	91%	0.75
Adherence
Breast cancer
Not using medications	487	64%	0.67	740	72%	0.73
Low/medium adherence	166	22%	0.61	148	14%	0.67
High adherence	104	14%	0.67	145	14%	0.78
COPD
Not using medications	291	30%	0.64	399	20%	0.65
Low/medium adherence	423	43%	0.58	892	45%	0.60
High adherence	268	27%	0.62	712	36%	0.66
Hepatitis C
Not using medications	356	85%	0.65	598	91%	0.66
Low/medium adherence	50	12%	0.58	62	9%	0.56
High adherence	13	3%	0.62	15	2%	0.68
Parkinson’s
Not using medications	36	33%	0.63	35	24%	0.63
Low/medium adherence	49	45%	0.57	71	48%	0.58
High adherence	25	23%	0.63	42	28%	0.71
Rheumatoid arthritis
Not using medications	215	31%	0.63	251	21%	0.64
Low/medium adherence	313	45%	0.58	581	48%	0.60
High adherence	165	24%	0.57	369	31%	0.64

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