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Multimorbilidad en medicina de familia y los principios Ariadne : un enfoque centrado en la persona
(2017)
La multimorbilidad, definida como la presencia de dos o más enfermedades crónicas en un mismo individuo, conlleva consecuencias negativas para la persona e importantes retos para los sistemas sanitarios. En atención primaria, donde recae esencialmente la atención de este grupo de pacientes, la consulta es más compleja que la de un paciente con una única enfermedad debido, entre otros, al hecho de tener que manejar mayor cantidad de información clínica, disponer de poca evidencia científica para abordar la multimorbilidad, y tener que coordinar la labor de múltiples profesionales para garantizar la continuidad asistencial. Además, para poder implementar correctamente los planes de tratamiento en estos pacientes es necesario un proceso de toma de decisiones compartida médico-paciente. Entre las distintas herramientas disponibles para apoyar dicho proceso, recientemente se ha desarrollado una dirigida específicamente a pacientes con multimorbilidad en atención primaria y que se describe en el presente artículo: los principios Ariadne.
Background: Multimorbidity is a common phenomenon in primary care. Until now, no clinical guidelines for multimorbidity exist. For the development of these guidelines, it is necessary to know whether or not patients are aware of their diseases and to what extent they agree with their doctor. The objectives of this paper are to analyze the agreement of self-reported and general practitioner-reported chronic conditions among multimorbid patients in primary care, and to discover which patient characteristics are associated with positive agreement.
Methods: The MultiCare Cohort Study is a multicenter, prospective, observational cohort study of 3,189 multimorbid patients, ages 65 to 85. Data was collected in personal interviews with patients and GPs. The prevalence proportions for 32 diagnosis groups, kappa coefficients and proportions of specific agreement were calculated in order to examine the agreement of patient self-reported and general practitioner-reported chronic conditions. Logistic regression models were calculated to analyze which patient characteristics can be associated with positive agreement.
Results: We identified four chronic conditions with good agreement (e.g. diabetes mellitus κ = 0.80;PA = 0,87), seven with moderate agreement (e.g. cerebral ischemia/chronic stroke κ = 0.55;PA = 0.60), seventeen with fair agreement (e.g. cardiac insufficiency κ = 0.24;PA = 0.36) and four with poor agreement (e.g. gynecological problems κ = 0.05;PA = 0.10).Factors associated with positive agreement concerning different chronic diseases were sex, age, education, income, disease count, depression, EQ VAS score and nursing care dependency. For example: Women had higher odds ratios for positive agreement with their GP regarding osteoporosis (OR = 7.16). The odds ratios for positive agreement increase with increasing multimorbidity in almost all of the observed chronic conditions (OR = 1.22-2.41).
Conclusions: For multimorbidity research, the knowledge of diseases with high disagreement levels between the patients' perceived illnesses and their physicians' reports is important. The analysis shows that different patient characteristics have an impact on the agreement. Findings from this study should be included in the development of clinical guidelines for multimorbidity aiming to optimize health care. Further research is needed to identify more reasons for disagreement and their consequences in health care.