Table 2.

Health gains and cost-effectiveness of a mass media campaign to promote smartphone apps for weight loss in New Zealand by age, sex, and ethnicity (lifetime impacts and 3% discount rate).

Sex, ethnicity, and age group (years)				Health gain in QALYsa (95% UIb)		Health gain in QALYs per 1000 population (95% UI)		Health system costsc, NZ $ (US $; 95% UI)
All				181 (113 to 270)		0.041 (0.026 to 0.061)		–606,000 (2,540,000 to –907,000); 408,000 (–1,709,000 to 610,000)
Non-Māori, all ages				148 (85 to 231)		0.040 (0.023 to 0.062)		–491,000 (2,310,000 to 921,000); –330,000 (–1,555,000 to 620,000)
Māori, all ages				33 (18 to 53)		0.049 (0.027 to 0.079)		–115,000 (–494,000 to 158,000); –77,400 (–332,000 to 106,000)
Men, all ages				97 (48 to 170)		0.045 (0.022 to 0.079)		–436,000 (–1,872,000 to 554,000); –293,000 (–1,260,000 to 373,000)
	Non-Māorid
		25-44	19		0.038		–85,000 (–57,200)
		45-64	46		0.094		–556,000 (–374,000)
		≥65	16		0.063		–127,000 (–85,500)
	Māorid
		25-44	6		0.080		–51,000 (–34,300)
		45-64	9		0.171		–118,000 (–79,400)
		≥65	1		0.078		–13,000 (–8750)
Women, all ages				84 (44 to 141)		0.037 (0.020 to 0.063)		–170,000 (–1,370,000 to 698,000); –114,000 (–922,000 to 470,000)
	Non-Māorid
		25-44	16		0.031		–45,000 (–30,000)
		45-64	35		0.069		–369,000 (–248,000)
		≥65	17		0.055		–77,000 (–52,000)
	Māorid
		25-44	6		0.066		–49,000 (–33,000)
		45-64	9		0.143		–106,000 (–71,000)
		≥65	1		0.079		–11,000 (–7000)

^aQALY: quality-adjusted life year.

^bUI: uncertainty interval.

^cA negative cost indicates that the intervention is cost-saving to the health system.

^dThe 95% uncertainty intervals for QALY and health system costs were not calculated for these subgroups.