In this study we aimed to explore how managers in primary health care (PHC) organizations assess their managerial knowledge and skills, as well as the importance of these competencies for their job, and to identify whether there is an alignment between these two perceptions; therefore, whether there is a need for management competency improvement. With this study, we tried to address a high demand for information about health managers, especially in health systems in low- and middle-income countries. In a sample of 58 primary health care centers (n = 106 managers) in Serbia, we used a basic managerial competency matrix consisting of the following six competencies—communication, team-building, planning and priority-setting, performance assessment, problem-solving, and leading. Managerial perception of the importance of their job tasks differs by educational level and managerial position. The best alignment between the importance of knowledge and skills was for communication and leading. The study pointed out that managers were aware of the necessity to improve their level of managerial competencies, particularly in the domains of planning and priority-setting, performance assessment, and problem solving. The study highlights the need for formal managerial education for managers in PHC settings and commitment to continuously evaluate and improve management competencies in order to better manage PHC.

We aimed to evaluate the prevalence of sociodemographic factors with the presence and different degrees of walking difficulties in elderly above 65 years, and to analyze association between evaluated variables and the presence and degree of waking difficulties. In the population based study, 3540 individuals age above 65 years from Serbia were recruited. Further predictors were analyzed: gender, age, level of education, marital status, body mass index (BMI), index of well-being and place of residence. We assessed difficulty in walking half a km on level ground without the use of any aid (Group-1); and difficulty in walking up or down 12 steps (Group-2). Walking difficulties were categorized as no difficulty, some difficulty, a lot of difficulty and cannot do at all. For present difficulty significant predictors were: age (Group-1 (OR-3.022)/Group-2 (OR-3.825)), gender (Group-1 (OR-0.337)/Group-2 (OR-0.311)), educational level (Group-1 (OR-0.689)/Group-2 (OR-0.556)) and place of residence (Group-2 (OR-1.523)) while for non-performing the task, significant predictors were: age (Group-1 (OR-1.998)/Group-2 (OR-2.096)), gender (Group-1 (OR-0.629)/Group-2 (OR-0.495)), BMI (Group-1 (OR-1.219)/Group-2 (OR-1.305)), marital status (Group-1 (OR 0.764)/Group-2 (OR-0.769)), educational level (Group-1 (OR-0.679)/Group-2 (OR-0.719)) and index of well-being (Group-2 (OR-0.764)). Understanding of predictors, and their role on functional decline in elderly is of great importance for the development of specific population-based health programs to prevent further functional loss and preserve achieved functional gains.

Objectives: The aim of our study was to evaluate the association of health factors with the presence and different degrees of pain in elderly above 65 years of life. Methods: The population-based study included 3540 individuals above 65 years of age of life from twofold stratified household sample representative for Serbia, during 2013 (the average age 73.9 ± 6.3 years; average Body Mass Index was 26.7 ± 4.4, females 56.8%, living with partner 55.5%, with primary education 55.3%, with poor wealth index 55.8% and from rural settings 46.2%). As health predictors of pain, we analyzed further health parameters: self-perceived general health, long-lasting health problems, diagnosed pulmonary disease, cardiovascular disease, musculoskeletal disease, diabetes, hyperlipidemia, hypertension and other chronic diseases. Pain domain of SF-36 version 2.0 was used for pain assessment. Results: Significant health predictors of pain were: self-perceived general health (OR 2.28), where bad perception of self-perceived general health in our study had greater risk of pain with higher degree of severity; long-lasting health problems (OR 1.60), where elderly with long-lasting health problems had almost twice the risk of moderate degree of pain, and above twice the risk for severe degree of pain; pulmonary disease (OR 1.38); musculoskeletal disease (OR 2.98) and other chronic diseases (OR 1.71). The presence of musculoskeletal disease increases the risk for pain, even more than double in severe versus mild degrees of pain. Conclusion: Bad self-perceived general health, long-lasting health problems, pulmonary, musculoskeletal diseases, cardiovascular disease and other chronic disease were significant health-related predictors of various degrees of pain in elderly.

Background This study assessed the prevalence of unmet health needs of the elderly and the associated factors regarding socioeconomic, health and functional status. Methods A secondary analysis of the 2013 National Health Survey data was conducted on a representative sample of 3540 persons aged sixty-five and older (the lowest response rate was 99.7%). Participants characteristics such as socioeconomic status, health self-perception, diagnosed chronic disease, physical functional limitations, performing essential daily activities in the home and daily personal care were explored with logistic regression analysis (Odds Ratio - OR and 95% Confidence Interval) in relation to five aspects of unmet health needs. Results 15.8% participants had unmet health needs due to the long waiting times, 16.1%, had unmet needs for medical care, 17.7% for dental care, 15.2% for drugs prescription and 96.9% participants for mental health care. Common predictors exist for medical, dental drug prescription and due to long waiting times unmet needs including older age years, middle education, rural residence, lower wealth index, single persons, with average or bad self-perceived health, chronic disease and difficult daily performance of personal care and of home activities. Unmet mental health needs by 61% less likely had participants with average wealth index, while a greater likelihood had participants with average and bad self-perceived health by 3.7 times and 8.4 times (p = 0.035, p = 0.001) respectively, by 6.2 times those with difficulties (p < 0.001) and by 5.9 times unable (p = 0.045) to perform daily activities of personal care and by 1.7 times those with difficulties (p = 0.037) to perform home activities. Conclusions Unmet health needs reported less than 20% of the elderly but almost all have unmet mental health needs. Unmet health needs are associated with negative health outcomes, age, low education level, single persons, rural settings, poorer households, and limited daily activities. Key messages Unmet mental health needs of the elderly are an extremely important problem for the health system and healthy ageing in Serbia. A strong association of unmet health needs of old, low educated elderly without partners, from rural settings and poor households with health and functional outcomes, requires responsive policies.