BackgroundA team approach in primary care has proven benefits in achieving better outcomes, reducing health care costs, satisfying patient needs, ensuring continuity of care, increasing job satisfaction among health providers and using human health care resources more efficiently. However, some research indicates constraints in collaboration within primary health care (PHC) teams in Lithuania. The aim of this study was to gain a better understanding of the phenomenon of teamwork in Lithuania by exploring the experiences of teamwork by general practitioners (GPs) and community nurses (CNs) involved in PHC.MethodsSix focus groups were formed with 29 GPs and 27 CNs from the Kaunas Region of Lithuania. Discussions were recorded and transcribed verbatim. A thematic analysis of these data was then performed.ResultsThe analysis of focus group data identified six thematic categories related to teamwork in PHC: the structure of a PHC team, synergy among PHC team members, descriptions of roles and responsibilities of team members, competencies of PHC team members, communications between PHC team members and the organisational background for teamwork. These findings provide the basis for a discussion of a thematic model of teamwork that embraces formal, individual and organisational factors.ConclusionsThe need for effective teamwork in PHC is an issue receiving broad consensus; however, the process of teambuilding is often taken for granted in the PHC sector in Lithuania. This study suggests that both formal and individual behavioural factors should be targeted when aiming to strengthen PHC teams. Furthermore, this study underscores the need to provide explicit formal descriptions of the roles and responsibilities of PHC team members in Lithuania, which would include establishing clear professional boundaries. The training of team members is an essential component of the teambuilding process, but not sufficient by itself.

Background: Given the importance of primary care to healthcare systems and population health, it seems crucial to identify factors that contribute to the quality of primary care. Professional satisfaction has been linked with quality of primary care. Physician dissatisfaction is considered a risk factor for burnout and leaving medicine.Objectives: This study explored factors associated with professional satisfaction in seven European countries.Methods: A survey was conducted among primary care physicians. Estonia, Finland, Germany and Hungary used a web-based survey, Italy and Lithuania a telephone survey, and Spain face to face interviews. Sociodemographic information (age, sex), professional experience and qualifications (years since graduation, years of experience in general practice), organizational variables related to primary care systems and satisfaction were included in the final version of the questionnaire. A logistic regression analysis was performed to assess the factors associated with satisfaction among physicians.Results: A total of 1331 primary care physicians working in primary care services responded to the survey. More than half of the participants were satisfied with their work in primary care services (68.6%). We found significant associations between satisfaction and years of experience (OR = 1.01), integrated network of primary care centres (OR = 2.8), patients having direct access to specialists (OR = 1.3) and professionals having access to data on patient satisfaction (OR = 1.3). Public practice, rather than private practice, was associated with lower primary care professional satisfaction (OR = 0.8).Conclusion: Elements related to the structure of primary care are associated with professional satisfaction. At the individual level, years of experience seems to be associated with higher professional satisfaction.

Patients with multimorbidity (defined as the co-occurrence of multiple chronic diseases) frequently experience fragmented care, which increases the risk of negative outcomes. A recently proposed Integrated Multimorbidity Care Model aims to overcome many issues related to fragmented care. In the context of Joint Action CHRODIS-PLUS, an implementation methodology was developed for the care model, which is being piloted in five sites. We aim to (1) explain the methodology used to implement the care model and (2) describe how the pilot sites have adapted and applied the proposed methodology. The model is being implemented in Spain (Andalusia and Aragon), Lithuania (Vilnius and Kaunas), and Italy (Rome). Local implementation working groups at each site adapted the model to local needs, goals, and resources using the same methodological steps: (1) Scope analysis; (2) situation analysis—“strengths, weaknesses, opportunities, threats” (SWOT) analysis; (3) development and improvement of implementation methodology; and (4) final development of an action plan. This common implementation strategy shows how care models can be adapted according to local and regional specificities. Analysis of the common key outcome indicators at the post-implementation phase will help to demonstrate the clinical effectiveness, as well as highlight any difficulties in adapting a common Integrated Multimorbidity Care Model in different countries and clinical settings.

Background Changes in the demographics and respective growth of life expectancy and social needs make informal caregiving crucial component of comprehensive health and social care network, which substantially contributes to the health and well-being of the elderly. The purpose of this paper is to understand the system of care of elderly patients with mental disorders from the perspective of informal caregivers in Lithuania. Methods We conducted five semi-structured focus group discussions with 31 informal caregivers attending to elderly patients with mental disorders. The data were audiotaped and transcribed verbatim. A thematic analysis was subsequently performed. Results Five thematic categories were established: (1) the current state of care-receivers: representation of the complexity of patients’ physical and mental condition. (2) The current state of caregivers: lack of formal caregivers’ integration as a team; inadequate formal involvement of informal caregivers. (3) Basic care needs: the reflection of the group needs relating directly to the patient, care organisation and the caretaker. (4) The (non-) Readiness of the existing system to respond to the needs for care: long-term care reliance on institutional services, lack of distinction between acute/immediate care and nursing, lack of integration between the medical sector and the social care sector. (5) Potential trends for further improvement of long-term care for the elderly with mental disorders. Conclusions Strengthening of the care network for elderly patients with mental disorders should cover more than a personalised and comprehensive assessment of the needs of patients and their caregivers. Comprehensive approaches, such as formalization of informal caregivers’ role in the patient care management and planning, a more extensive range of available services and programs supported by diverse sources of funding, systemic developments and better integration of health and social care systems are essential for making the system of care more balanced.

Multimorbidity, the coexistence of several chronic conditions in a patient, represents a great challenge for healthcare systems and society. The Integrated Multimorbidity Care Model (IMCM) was recently designed within the Joint Action on chronic diseases and promoting healthy ageing across the life cycle (CHRODIS) to ensure the continuity of care for patients with multimorbidity. The IMCM was implemented in five European pilot sites in Spain, Italy, and Lithuania, within the Joint Action CHRODIS-PLUS. The effect of these pilot interventions was assessed pre- and post-implementation by 17 healthcare managers, using the Assessment of Chronic Illness Care (ACIC) measure, and by 226 patients with the Patient Assessment of Care for Chronic Conditions (PACIC+) survey. The ACIC total score significantly increased (5.23 to 6.71, p = 0.022) after the intervention, with differences across sites. A significant increase in the PACIC+ summary score was found ranging from 3.25 at baseline to 4.03 after the intervention (p < 0.001), and 58% of the sample perceived an improvement in care. Higher PACIC+ scores after the intervention were associated to lower baseline values in the respective PACIC+ dimension and to greater changes in ACIC Part 1 (delivery system organization). The IMCM implementation can help improve the quality of care for patients with multimorbidity.