TABLE 2.
Studies Assessing Interventions of Wellness Programs
Rigor Score | Author | Design | Modality | Subject(s) | Number of Employees | Key Findings | Limitations |
---|---|---|---|---|---|---|---|
High | Sorensen et al21 | RCT | Cancer prevention: healthful eating, physical activity, tobacco control, and occupational health | 24 multiethnic manufacturing businesses | 50–150 | The intervention group scored higher on all outcomes (physical activity, produce consumption, red meat consumption and vitamin use) compared with control worksites. For fruit and vegetable consumption, the intervention was more effective among women, nonmanagers, and all other ethnic groups more so than whites. For red meat consumption, the intervention was more effective for women and less educated employees | Businesses not nationally representative, outcomes self-reported yet validated, statistic power to detect subgroup differences |
Intermediate | Merrill et al24 | Case study | Physical, emotional, and mental health | One business | <500 | Employees improved on almost all categories of the well-being indices over 3 yrs: physical, emotional, and mental health, in addition to health behaviors, access to safe drinking water, affordable produce, and a safe exercise space. Greatest improvements were among those with a high-risk baseline, and older employees | No control group, selection bias |
Intermediate | Merrill25 | Case-cohort descriptive study | Physical health, mental health, healthy behavior, and access to health services | One intervention company and 1276 control employees | <500 | Four well-being indices improved significantly in the intervention group. Nevertheless, there was no significant difference of self-perceived access to basic needs. There was a positive association between income and scores on the well-being indices. Perceived physical health was greater for men than for women, yet perceived healthy behaviors were opposite | Nonrandomized intervention group, selection bias |
Intermediate | Merrill26 | Intervention evaluation | Exercise, sleep, stress, and diet programs | Five businesses | <500 | Exercise, diet, sleep, health perception, and life satisfaction had significant improvements. Smallest companies (<50 employees) had greater fruit consumption, nights of restful sleep, smoking cessation, and job satisfaction. Participation was lower among those with poor health and men. Job satisfaction decreased significantly. There was a positive association between health perception and health behaviors | Nonrandomized (selection bias), no control group, behavior and health outcome data self-reported |
Low | Devine et al45 | Process evaluation | Walking and eating | Five businesses | <500 | There was a positive association between site-specific intervention reach, dose, and employee achievement of health goals (walking and eating habits). The two sites with fewer than 25 employees had greater reach. High reach was also associated with younger, more educated, and mixed job-type employees. In the three sites with the lowest implementation scores, competing priorities for leaders’ time was noted as a barrier | Nonrandomized, small sample size, potential positive response bias, self-reported and recall bias |
Low | Allen et al46 | Intervention evaluation | Heart disease prevention: screening, education, and physical activity | 29 intervention employees and 31 control employees | 172 | After 1 yr, the intervention group scored better on health outcomes compared with the comparison group. For cost effectiveness, there was a $10.2 per percentage point reduction in LDL cholesterol and a $454.2 per percentage point reduction in heart disease risk | Nonrandomized, selection bias, not true RCT, controls received some exposure to intervention, only one business |
Low | Erfurt and Holtyn29 | Analytic | Screenings, referral, education, and counseling | Three businesses | 5–296 | After the program, the employees showed improvements in blood pressure, cholesterol, cigarette smoking, weight control, and oxygen uptake | Only three worksites compared with much variability, no control group, low response rate |
Very low | Taylor et al | Analytic: pre-/postassessment | Physical activity | 14 employees | <15 | After the program, a reduction in HDL cholesterol and weight was shown among employees | No control group, strong wellness culture before intervention, no correction for multiple comparisons |
RCT, randomized controlled trial