RCT to Analyze the Efficacy of a Spanish Healthcare ministRy Based In InTervention to Reduce Frailty Status in Prefrail Older Adults

Hypothesis An intervention based on the algorithm proposed by the Spanish Healtcare Ministry (see figure in annex 1) at Primary Care level will be effective in reducing Frailty status or Physical Function (composite outcome) in community-dwelling older adults.

Main Objective

To analyze the efficacy of an intervention based on the algorithm proposed by the Spanish Healtcare Ministry (see figure in annex 1) at Primary Care level to reduce Frailty status or Physical Function (composite outcome) in community-dwelling older adults.

Secondary objectives

1. To analyze if the intervention is cost-effective 2. To analyze if the intervention reduces hospitalizations and emergency department visits 3. To analyze if the intervention reduces incident disability 4. To analyze if the intervention reduces falls 5. To analyze if the intervention reduces institutionalization 6. To analyze if the intervention improves quality of life 7. To analize if the intervention decreases mortality 8. To analyze if the intervention reduces Primary Care visits and Drug use
2. Design Multicentric Randomized Clinical Trial
3. Study subjects Prefrail or Frail or with a gait speed lower than 0.8 m/s community-dwelling women and men with an age equal or greater to 70 years, attended in selected Primary Care centers of Spain (Albacete, Hellín, Barcelona, Madrid, La Carlota, and Tacoronte). Sample size The sample size was calculated to find a difference between groups of 15% in the percentage of respondents (reduction in at least one frailty criteria); 25% in the intervention group (algorithm implementation) and 5% in the control group, alpha < 0.05 and power 80%. A 15% of loses will be assumed. Using the program GRANMO (https://www.imim.cat/ofertadeserveis/es_granmo.html), the number of participants per group is 82, for a total of 164 participants. However, due to COVID conditions, the sample size was increased up to 273 participants.
4. Randomization Randomization will be made by clusters, being every cluster a different Primary Care center, in order to avoid contamination. Randomization will be computer-based with a 1:1 relationship between groups. Every Primary Care center will include at least 24 participants (two Primary Care Physicians at each one). Because exercise groups will be composed of 6 participants. For these reasons, 12 Primary Care centers will be needed, 6 with intervention and 6 control
5. Instrumentation All instrumentation will follow the guidelines of the Spanish Healthcare Ministry algorithm for frailty, updated 2022. First, older adults attending the selected Primary Care centers (Albacete, Hellín, Barcelona, La Carlota, Tacoronte and Madrid) will receive a Barthel index assessment, a frailty phenotype assessment and a gait speed measurement in every Primary Care center. If patients present a Barthel index greater than 85 plus either a prefrailty or frailty say¡tutus or a walking speed lower than 0,8 m/s, they will be offered to entry the trial by the Primary Care Physician. In order to warrant the independence of recruitment, randomization of the Primary Care centers will be undertaken when a center arrives the 24 participants. If the center is considered "usual care", physicians will realize a baseline visit to participants, collecting all study variables, and will make healthy lifestyles recommendations. If the center is considered "intervention", physicians will realize a basal visit to participants collecting determined variables, and they will receive the intervention described below. Follow-up visits to analyze results will be conducted at 3, 5 and 8 months. Adverse events will be monitored and communicated on presentation. Monitoring will be conducted throughout the clinical trial.
6. Data collection and analysis For this project we will use the tool "Research Electronic Data Capture" (REDCap) for Electronic Data Capture (EDC), designed for creating surveys and questions using branching logic and stop actions. Some of the question will be created as a data collection instrument, and other will be selected from the data collection instruments in REDCap shared library, a repository for data collection instruments and forms. REDCap is a web-based application developed by Vanderbilt University to capture data for clinical research. REDCap uses instruments such as surveys and forms as research capture tools and is designed to provide a secure environment so that research teams can collect and store highly sensitive information. They are workflow-based and focus on collecting data and exporting it to statistical programs and other data analysis software. More information can be viewed at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5764586/. INVESTEN, participating in the Project will provide this tool for free. Data will be stored for up to 15 years by the investigators. All data will be anonimyzed and stored in a secure manner. Analysis will be maid on an intention-to-treat basis by the principal investigator that will be blinded to group assignment. Risk reduction will be presented for the principal variable. Differences in secondary objectives will be analyzed with risk reductions, difference of means or proportions when convenient.
7. Economic models In order to collect information on the health and non-health resources consumption, specific questionnaires would be designed, for both, for patients as well as for caregivers. For the economic evaluation, we will perform two different analyses, a cost-effectiveness analysis (CEA) and a cost-utility analysis (CUA). The CEA will be carried out comparing both outcomes and monetary valuation of the resources used in the group of patients who receive the intervention with the control group (usual care). Thereby, the incremental cost-effectiveness ratio (ICER) reveals the cost per unit of benefit of switching from usual care to the intervention group. The health results measured by the ICER would be the following: Frailty status change, hospitalization, incident disability, and falls. Furthermore, CUA is a special type of cost-effectiveness analysis that uses the Quality-Adjusted Life-Year (QALY) as outcome. Both CEA and CUA would be conducted separately considering both the societal perspective (that is, all costs included) and the National Health System perspective (taking into consideration healthcare costs and costs related to the intervention). Additionally, several univariate sensitivity analysis as well as probabilistic sensitivity analysis will be carried out in order to test how sensitive the results obtained from the ICER and the ICUR are when varying both costs and health results.
8. Ethics The Study has been approved by the Ethics Review Committee of Albacete (February meeting), and will be presented to the rest of local Ethics Committees. The information form for participants and informed consent is presented in the annexes. There have been two amendments to the first approved version, that were approved by the ethics committee, V3 in 2023 and the final V4 in 2025.