| Literature DB >> 30075720 |
Angelina Gonzalez-Viana1, Mariona Violan Fors2, Conxa Castell Abat3, Maica Rubinat Masot2, Laura Oliveras4, Juanjo Garcia-Gil5, Antoni Plasencia6, Carmen Cabezas Peña3.
Abstract
BACKGROUND: In adults, as little as 10 minutes of moderate physical activity (PA) three times a day can help prevent non-communicable diseases and prolong life expectancy. The aim of the study was to evaluate the process and impact of scaling up a complex intervention (PAFES) implemented in Catalonia, aimed to increase the proportion of adults complying with PA recommendations (especially those with cardiovascular risk factors).Entities:
Keywords: Evaluation; Health promotion; Implementation research; Physical activity; Primary Health Care; Process evaluation
Mesh:
Year: 2018 PMID: 30075720 PMCID: PMC6090750 DOI: 10.1186/s12889-018-5773-2
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Study population by evaluation component
| Evaluation dimension | Components of evaluation | Study population |
|---|---|---|
| Process | PHC adherence: | |
| - TtT Strategy | • All PHC health professionals | |
| Municipality adherence: PA facilitators | • 947 municipalities of Catalonia | |
| Local network for PA promotion | • 370 PHC teams | |
| WPAD celebration | • All of the Catalan population | |
| Communication and diffusion | • All of the Catalan Population | |
| Impact | Change in PA levels in adult population | • Representative sample of 22,158 adult residents of Catalonia (15 to 69) |
| PHC PA Champions’ satisfaction with PAFES | • 645 PHC PA Champions | |
PHC Primary Health Care, TtT Train the Trainers, PA Physical Activity, WPAD World Physical Activity Day
Fig. 1Intervention components, objectives and aim. TtT, Train–the-Trainer strategy; PA, Physical Activity; PHC, Primary Health Care; IA, Insufficiently Active
Indicators according to RE-AIM framework
| RE-AIM | Components | Attributes | Measurement | Source/years |
|---|---|---|---|---|
| Reach | PHC | Coverage of adults' PA screening | Cardiovascular risk factor adults (>15 years old) screened for PA / Cardiovascular risk factor adults (> 15 years old) attended | EMR 2008-2015 |
| PHC | Increase of PA advice to inactive adults | Cardiovascular risk factor adults (15-65 years old) screened for PA who receive PA advice/Cardiovascular risk factor adults (15-65 years old) screened as inactive | Health Department 2012 & 2015 | |
| PHC | Reach of PA advice to population | % of patients who received PA advice from their health professional | Health Survey 2012 | |
| Municipality | Coverage of PAFES healthy routes | People with access to a PAFES healthy route in their municipality/Population of Catalonia | PAFES 2015 | |
| WPAD | Increase in WPAD participation | Increase of WPAD events organized and of total participation from 2010 to 2015 | Web site 2010 & 2015 | |
| Effectiveness | PHC | Effectiveness of PA advice | % of patients who received PA advice from their health professional and were active | Health Survey 2012 |
| PAFES | Usefulness | % of PHC PA Champions who believe Plan was useful to increase PA intervention and registration, PHC community activities, and PHC-municipality collaboration | Satisfaction survey 2013 | |
| PAFES | Increase of adults’ PA level between 2006 and 2010-2015 | Adjusted Odds Ratio from 2006 to 2010-2015 of % of adults reaching PA recommendations by sex | Health Survey 2006-2015 | |
| Adoption | PHC | PHC teams implementing Plan | % of PHC teams implementing Plan/ PHC teams of Catalonia | PAFES 2015 |
| PHC | Evolution of PHC team’s adoption | Accumulated % of PHC teams attending TtT by year | PAFES 2005-2015 | |
| PHC | Evolution of PHC teams adopting PA registry | Accumulated % of PHC teams with some PA registry at EMR by year | EMR 2008-2015 | |
| Municipality | Municipalities adopting PAFES | Number of municipalities of >5000 population with a PAFES healthy route/total municipalities in Catalonia of >5000 population | Web site 2015 | |
| Networking at local level | Existence of networking at local level | % of PHC PA Champions who state there is collaboration at local level for PA promotion | Satisfaction Survey 2013 | |
| WPAD | WPAD adoption | Number of PHC teams registering WPAD event / PHC teams, Catalonia Municipalities registering WPAD event / Municipalities in Catalonia | Web site 2010-2015 | |
| Implementation | PHC | Degree of PHC team implementation | Process evaluation (training, number of PHC PA Champions, awareness and evaluation of web and bulletin, web visits per year) | PAFES & satisfaction survey |
| PHC | Fidelity | Total PA screening and PA interventions done | EMR 2008-2015 | |
| PHC | Degree of local PA program implementation | There is/has been a local PA program | Satisfaction survey 2013 | |
| PHC | Penetrability | % of PHC Centres that registered PA screening and intervention, by health region, in 2008, 2012 and 2015 | EMR/PAFES 2008 to 2015 | |
| PAFES | Time | Plan implementation by year | PAFES | |
| PAFES | Cost | Total costs of the Plan /total PA interventions registered by PHC teams | PAFES 2005-2015 | |
| Maintenance | PAFES | Sustainability | Sustainability elements | PAFES |
| PAFES | Plan adaptation | Adaptations through the years | PAFES |
PHC Primary Health Care, PA Physical Activity, TtT Train the Trainer, EMR Electronic Medical Record, WPAD World Physical Activity Day
Fig. 2Primary Health Care coverage for physical activity screening and advice in inactive adults. PA, Physical activity; CVRF, Cardiovascular risk factor; PHC, Primary Health Care; PA screening in adults (> 15 years old) with any CVRF. Source: ICS PHC teams using PAFES PA variables in EMR; PA advice to inactive adults (aged 15-69 years old) with CVRF (2012-2015). Source: Health Department data from all PHC teams of the Catalan Health Institute
WPAD participation by year (reach and adoption)
| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | |
|---|---|---|---|---|---|---|
| Participation (Reach) | 36,890 | 66,359 | 64,467 | 174,771 | 203,366 | 201,892 |
| Events organized (Reach) | 116 | 272 | 223 | 276 | 515 | 422 |
| Municipalities (Adoption)1 | 3.1% | a | 6.6% | 9.4% | 12.5% | 8.3% |
| PHC teams (Adoption)2 | 3.5% | a | 7.8% | 11.6% | 20.8% | 22.7% |
aData not available; (1) There are 947 municipipalities in Catalonia and (2) 370 PHC centres
Multivariate analysis of physical activity, time, and percentage changes from 2006 values (women)
| Without CVRF | With CVRF | |||||||
|---|---|---|---|---|---|---|---|---|
| Year | % (n) | ORa (95%) | change a(%) | % (n) | ORa (95%) | change a(%) | ||
| 2006 | 64.4% (2,313) | 1 | 59.7% (2,510) | 1 | ||||
| 2010 | 74.7% (310) | 1.69 (1.33-2.15) | <0.001 | 16.0 | 67.0% (219) | 1.34 (1.05-1.72) | 0.021 | 12.2 |
| 2011 | 70.3% (610) | 1.30 (1.10-1.54) | 0.002 | 9.2 | 65.4% (449) | 1.21 (1.02-1.45) | 0.031 | 9.5 |
| 2012 | 69.9% (632) | 1.26 (1.07-1.48) | 0.004 | 8.5 | 61.9% (409) | 1.04 (0.87-1.23) | 0.693 | 3.7 |
| 2013 | 63.8% (559) | 0.96 (0.82-1.13) | 0.637 | -0.9 | 57.9% (382) | 0.88 (0.70-1.05) | 0.143 | -3.0 |
| 2014 | 62.2% (542) | 0.89 (0.76-1.04) | 0.133 | -3.4 | 56.1% (373) | 0.83 (0.70-0.99) | .0.37 | -6.0 |
| 2015 | 69.5% (687) | 1.08 (0.87-1.35) | 0.467 | 7.9 | 64.5% (533) | 0.86 (0.68-1.08) | 0.188 | 8.0 |
CVRF at last one cardiovascular risk factor (diabetes mellitus, arterial hypertension, excess weight, cholesterol); ORa OR adjusted by age, level of education, and social class; apercentage change based on 2006
Multivariate analysis of physical activity, time, and percentage changes from 2006 values (men)
| Without CVRF | With CVRF | |||||||
|---|---|---|---|---|---|---|---|---|
| Year | % (n) | ORa (95%) | p-value | change a(%) | % (n) | ORa (95%) | p-value | change a(%) |
| 2006 | 70.8% (1,913) | 1 | 66.1% (3,289) | 1 | ||||
| 2010 | 78.8% (226) | 1.49 (1,12-2.00) | 0.009 | 11.3 | 75.6% (357) | 1.56 (1.25-1.94) | <0.001 | 14.4 |
| 2011 | 76.8% (506) | 1.35 (1.10-1.65) | 0.004 | 8.5 | 70.0% (673) | 1.19 (1.02-1.39) | 0.026 | 5.9 |
| 2012 | 77.6% (512) | 1.40 (1.14-1.72) | 0.001 | 9.6 | 66.6% (649) | 1.01 (0.87-1.17) | 0.16 | 0.8 |
| 2013 | 76.5% (512) | 1.32 (1.08-1.61) | 0.007 | 8.1 | 65.1% (616) | 0.94 (0.81-1.09) | 0.42 | -1.5 |
| 2014 | 69.9% (476) | 0.94 (0.78-1.13) | 0.511 | -1.3 | 62.3% (548) | 0.83 (0.72-0.97) | 0.019 | -5.7 |
| 2015 | 77.3% (608) | 1.18 (0.90) | 0.224 | 9.2 | 70.6% (745) | 1.05 (0.84-1.30) | 0.682 | 6.8 |
CVRF: at last one cardiovascular risk factor (diabetes mellitus, arterial hypertension, excess weight, cholesterol); ORa: OR adjusted by age, level of education and social class; apercentage change based on 2006
Fig. 3Change in numbers of physically active men, by presence/absence of cardiovascular risk. CVRF: at last one cardiovascular risk factor (diabetes mellitus, arterial hypertension, excess weight, cholesterol); PHC, Primary Health Care
Fig. 4Change in numbers of physically active women, by presence/absence of cardiovascular risk. CVRF: at least one cardiovascular risk factor (diabetes mellitus, arterial hypertension, excess weight, cholesterol); PA, Physical Activity; WPAD, World Physical Activity Day
Fig. 5PHC team adoption: Training sessions, % implementation, Electronic Medical Record registration, by year. PHC, Primary Health Care; PA, Physical Activity; CVRF, Cardiovascular Risk Factors. *Data from ICS Primary Health Care (N 336)
Fig. 6Penetration of screening effort: % PHC teams recording PA screening, by health region. PHC, Primary Health Care; PA, Physical Activity; A-I, Catalan health sectors
Fig. 7Penetration of PA advice: % PHC teams registering PA advice, by health region. PHC, Primary Health Care; PA, Physical Activity; A-I, Catalan health sectors
Fig. 8Estimated Costs, 2006-2015: Total, Health and Sports Departments. Variation by phase for WPAD participation, PA advice, % sufficiently active men/women. PA, Physical activity; WPAD, World Physical Activity Day