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Researchers are studying the effects of structured health dialogues on individuals aged 67 to 84 years living in Borgholm municipality, Sweden. This study aims to evaluate how these dialogues impact quality of life, health, healthcare needs, and lifestyle factors over six years. It also explores cost-effectiveness, participant reach, and personal motivations for health improvement. Additionally, a substudy uses machine learning and digital motion analysis to predict functional decline and healthcare needs among older adults. Participants in the intervention group will attend a health dialogue session at a primary care center, including assessments such as walking tests, measurements, blood tests, and a 60-minute conversation with a nurse to develop a personalized health plan. A follow-up call occurs three months later to evaluate and adjust the plan. The study compares this group to a randomized control group within Borgholm and a matched control group from nearby municipalities. Participants will provide data through questionnaires and their medical records will be reviewed. Researchers will track changes in health-related quality of life, hospital care use, social care, mortality, frailty, medication, and housing status at multiple points up to six years. Qualitative interviews will explore participants experiences and motivations. The study uses both registry data and survey responses to evaluate outcomes and the cost-effectiveness of the health dialogues.