Skip to main content
  • Research article
  • Open access
  • Published:

Exploring public sector physicians’ resilience, reactions and coping strategies in times of economic crisis; findings from a survey in Portugal’s capital city area



Evidence is accumulating on the impact of the recent economic crisis on health and health systems across Europe. However, little is known about the effect this is having on physicians - a crucial resource for the delivery of healthcare services. This paper explores the adaptation to the crisis of public sector physicians and their ability to keep performing their functions, with the objective of gaining a better understanding of health workers’ resilience under deteriorating conditions.


We conducted a survey among 484 public primary care and hospital physicians in Portugal’s capital city area and explored their perceptions of the crisis, adaptation and coping strategies. We used ordinal and logistic regression models to link changes in hours worked and intentions to migrate with physicians’ characteristics and specific answers.


We found little evidence of physicians changing their overall allocation of working time before and after the crisis, with their age, types of specialisation, valuation of job flexibility and independence significantly associated with changes in public sector hours between 2010 and 2015. Being divorced, not Portuguese, of younger age, and working a high number of hours per week, were found to increase the probability of physicians considering migration, the same as having a poor opinion of recent government health policies. On the other hand, enjoying their current working environment, not wanting to disrupt provision of service, and leisure time were found to protect against scaling down public sector hours or considering migration.


Our work on Portuguese physicians contributes to the debate on health workers’ resilience, showing the value of understanding the influence of personal characteristics and opinions on their adaptation to changing circumstances, before designing policies to improve their working conditions and retention.

Peer Review reports


The economic and financial crisis is believed to be taking its toll on the health of Europeans and on their health systems [13], although recent studies are emerging on health systems’ resilience in times of economic crisis [46]. Because of the decrease in consumers’ disposable income, raising unemployment, and controversial austerity measures introduced to ration demand and balance budgets, there are signs that population health status, demand for health care and health policies are beginning to be affected, particularly in Southern European countries like Greece [2, 7], Italy [8, 9], Spain [1012] and Ireland [13]. Less is known of how health workers are reacting to the crisis, and whether they still guarantee the services needed, although some preliminary qualitative evidence is beginning to emerge [11, 14, 15]. Public sector physicians are particularly crucial, given the volatility of such a costly resource, and the pivotal role they play in the organisation of health services and in the definition of policies [16].

Physician resilience has been explored from different angles. The medical and psychological literature has long explored individuals’ resilience, particularly doctors’ burnout and their ability to resist stress and wearing workloads [17]. While ‘individual resilience’ typically describes the capacity of individuals to cope with adversity and continue functioning [18], ‘physician resilience’ has been defined as physicians’ ability to respond to stress induced by the medical profession so that professional objectives are achieved with minimal psychological and physical costs [19]. The importance of the strategies individuals adopt to cope with stressful and disrupting events has often been highlighted [20], and some authors maintain that some physicians are more resilient than others not only because of their personal characteristics, but also because of the different coping strategies they adopt [21]. As for health systems in economic crises, ‘resilience’ has been framed as people’s and institutions’ intrinsic ability to change and adapt to a lower level of resources to keep performing the same functions [22].

Economic theory predicts that with shrinking public salaries, physicians will reallocate time towards more profitable alternatives and away from the public sector to meet their target income, subject to the availability of private sector employment [23]. There is already evidence that some specific countries’ negative economic outlook is forcing nurses to leave [24]; evidence from Greece and Ireland shows that unemployment, job insecurity, income reduction and also a lack of opportunity for medical research are pushing young physicians to seek jobs abroad [2527]. Recent studies from Spain show strong opposition to the austerity measures recently introduced to the health sector [11, 15].

In the Portuguese case, austerity measures started to be introduced in 2010 with substantial implications for its National Health System [28]. Although salaries were cut and income tax was increased, as well as salary bonuses eliminated across the board in the public sector, the health sector was specifically targeted for expenditure-saving and productivity-enhancing measures. Tertiary care hospital budgets were slashed, financial controls introduced for the most expensive tests and medical procedures, and a cap on personnel extra hours imposed; pay-for-performance contracts were reviewed with primary care Health Centres Groups (ACES). Amid concerns that such measures could reduce the breadth and depth of public healthcare services in a country where out of pocket expenditures still represent a sizable proportion of health expenditures [29], recent evidence links the crisis-related rise in unemployment with the decreased use of hospital services [30]. The present work aims at providing evidence on the adaptation of public sector physicians during an economic crisis, making a contribution to the debate on the impact of the crisis on physicians’ work in Europe, and on the drivers of physician migration. This should inform the government’s attempts to retain health professionals in the system and improve their conditions in the public sector, ultimately protecting access to affordable healthcare services in times of economic recession.


We looked at changes in physicians’ public sector working hours between 2010 and 2015, and at their intentions to migrate, under the assumption that recent changes introduced by the crisis and related austerity measures would be somewhat reflected in these two proxies of physicians’ dedication and commitment to their job. Through multivariate analysis, we explored the association between these two dependent variables and physicians’ personal characteristics as well as their valuations of possible coping strategies and mitigating factors, as proxies for unobservable variables.

Data collection

We surveyed a random sample of primary care and hospital specialists from three healthcare institutions in the Lisbon area in Portugal, and asked to report changes occurring before and after the economic crisis in terms of: (a) their perceptions of demand and supply of services in the public and private sectors; (b) their time allocation across professional activities; (c) strategies adopted to cope with the changes; and (d) mitigating factors.

Data were collected between January and July 2015 by a team of 15 interviewers. Survey interviews were conducted face-to-face following previous telephone contact. The three locations were selected to cover all the relevant types of medical specialisations. The study survey sample included a total of 484 physicians (72% of the physician population across the three locations). Physicians’ response rate was 90.98%, and no systematic difference was identified between the 48 physicians who refused to participate in the survey and those who did. Proportional stratified samples were obtained for gender, professional category, specialisation and institution (Additional file 1: Table S1).

Data analysis

The survey questionnaire comprised 56 close-ended questions, and the resulting data set includes: (a) information on physicians’ personal characteristics; (b) variables related to their professional activity; (c) their stated intentions to migrate and valuation of factors known to mitigate the effects of stressful circumstances. The last variables resulted from questions presented in a Visual Analogue Scale ranging from 0 to 10 (Additional file 1: Table S2). The statistical analysis was performed using SPSS – version 22 and R program [31].

With the objective of analysing the association between changes in physicians’ public working hours and the above variables, we performed two ordinal regression models where the response variable, \( Y \), was an ordinal variable with three categories. This variable represents the change in public working hours between 2010 and 2015: 1 = decreased, 2 = the same, and 3 = increased. The ordinal model can be expressed as:

$$ logit\left[ P\left( Y\le c\right)\right]= \ln \left(\frac{P\left( Y\le c\right)}{1- P\left( Y\le c\right)}\right)= \ln \left(\frac{P\left( Y\le c\right)}{P\left( Y> c\right)}\right) = {\upalpha}_c-\left({\beta}_1{X}_1+\dots +{\beta}_p{X}_p\right) $$

where \( Y \) is the dependent variable, c = 1, 2 represents the first and second categories of the dependent variable, \( {X}_1,\dots, {X}_p \) are the p explanatory variables, and \( {\beta}_1,\dots, {\beta}_p \) the regression coefficients. The assumption of proportional odds was tested with the test of parallel lines implemented in SPSS [27]. Zero inflated models were also explored to gain a better understanding of differences in hours worked in public between 2010 and 2015, analyzing “zeros” and “count of non-zeros” [32].

To study the factors affecting the decision to migrate, two binary logistic regression models were performed, both with the intention to migrate as dependent variable (0 = No; 1 = Yes). In the first model, personal characteristics and variables related to the professional activity entered as explanatory variables, using the forward stepwise method. In the second model, the significant variables from the first model were entered as a block, and the variables related to the perceptions on current health policies and to the reasons why migrating is not a valid option were entered as a second block, using the forward stepwise method. Both models can be expressed as:

$$ logit\left(\pi \right)= \ln \left(\frac{\pi}{1-\pi}\right)=\upalpha +{\beta}_1{X}_1+\dots +{\beta}_p{X}_p $$

with \( Y \) the dependent variable, \( \pi \) the probability of thinking of migrating, \( {X}_1,\dots, {X}_p \) the p explanatory variables, and \( {\beta}_1,\dots, {\beta}_p \) the regression coefficients [33].


Physicians in our sample were predominantly of Portuguese nationality (97%), female (57%) and with a median age of 43 years (IQR: 31–57) (Table 3). There were more male physicians in the hospital sample than in the primary care institutions (53% in São José Hospital vs 24% in Cascais and 29% in Amadora); the former were also slightly younger, with a smaller proportion married. Considerably more hospital specialists engaged with private sector activities than their primary care counterparts (46% vs 27 and 24%). A higher proportion of medical residents were found in the hospital sample (34%) than in the health centre groups (Table 1).

Table 1 Sample characteristics, by healthcare unit

Between public and private sector activities, hospital physicians declared working more hours per week in 2015 (median value of 56) than those from health centres (47 and 45, respectively). Total declared earnings were also considerably higher for hospital physicians (€36,350 per year in 2015) than their primary care peers (€30,440 and €28,000, respectively).

Between 2010 and 2015, overall declared yearly earnings by the sampled physicians decreased by 35% (from €51,550 to €33,610), with the largest declared reduction accruing from their public sector earnings. The most senior cadres across the three institutions and the hospital specialists in particular reported the most substantial cuts (Fig. 1).

Fig. 1
figure 1

Working hours and earnings before and after the crisis, per type of physician (means)

In the same period, with the exception of Senior Graduate Assistants, total working hours increased from 50.9 to 52.0 per week, with the increase attributable to extra hours worked in the public sector. Overall, we found no significant reduction of private sector earnings and working hours between 2010 and 2015 (Wilcoxon test: p = 0,867 and p = 0,436, respectively).

Changes in public sector working hours

A variable was constructed measuring the 2010–2015 difference in hours worked in the public sector (Fig. 2, left-hand graph). Almost half the physicians (48%) declared working the same hours as in 2010. Such variable was categorised into three groups, namely: those physicians declaring working fewer hours in 2015 than in 2010; those declaring working the same hours; and those declaring working more (Fig. 2, right-hand graph).

Fig. 2
figure 2

Constructed variable of differences in hours worked in public between 2010 and 2015

Such categorised variable was used as a dependent variable for an ordinal regression model, estimating the association between physicians’ location, personal characteristics, their valuation of specific profession characteristics, and the 2010–2015 change in public sector working hours. In the first model (Model 1, Table 3 below), being a hospital specialist increased the probability of working fewer hours in comparison to the reference category (all other primary care specialist bar USF Modelo B ones) (p < 0.001). Age increases were associated with higher probability of working fewer hours (p = 0.001); additional hours worked in the private sector in 2015 (clinical and non-clinical) also had the same effect on public sector working time (p = 0.025).

In the second model (Model 2, Table 2), valuation on job flexibility and independence was associated with fewer hours worked in the public sector (p = 0.004). On the other hand, valuation given on the possibility of working extra hours in the public sector, enjoying their current working environment and not wanting to leave for fear of disrupting provision of services were associated with an increase in weekly hours worked in the public sector in 2015 (respectively, p = 0.079; 0.067 and 0.023). In this second model, being a physician from a USF Modelo B became a significant positive factor (p = 0.106).

Table 2 Estimates of the ordinal model for change in the number of public sector working hours (N=328)

The two models showed a good fit to the data \( \left({\upchi}_{(414)}^2=433.16;\mathrm{p}=0.249\;\mathrm{and}\;{\upchi}_{(620)}^2=618.59;\mathrm{p}=0.509\right) \), but only explained 17 and 23% of the effect (Nagelkerke R2 = 0.168 and 0.227). The Zero-Inflated models reinforced the findings from the ordinal regression.

Intentions to migrate

The logistic regression models found significant associations between physicians’ declared intention to migrate in 2015 and some of their personal characteristics, their allocation of time across activities, their answers to questions on current health policies, and their reasons given for not considering migration a valid option.

In our first model, covering exclusively personal characteristics and time allocation decisions, age showed a strong negative association with migration (p<0.001). Being female and having dependents also showed a negative association, while being divorced and a foreigner (not of Portuguese nationality) appeared to increase the probability of considering migration (p-values of 0.024 and <0.001, respectively). The weekly working hours in 2015 increased the intention to migrate (p=0.004), while additional leisure time (log) was associated with an opposite effect (Table 3).

Table 3 Estimates of the logistic model for intention to migrate (N=385)

In the second logistic regression model (Model 2, Table 3), valuations on thinking that recent policies and the current brain drain have damaged the sector were associated with considering leaving the country in the near future (p-values of 0.006 and 0.009, respectively). Valuations of physicians’ current working environment and of their remuneration conditions in comparison to other jobs in Portugal were found to decrease the probability of considering migration (p-values of 0.004 and 0.092, respectively). Also, valuation for family ties in Portugal (p=0.015) and considering it challenging to look for a job abroad (p=0.055) were factors associated with a decreased probability of considering migration, although this latter only at a 10% confidence level.

Both models fitted to the data (Hosmer and Lemeshow test: \( {\boldsymbol{\chi}}_{(8)}^2=11.61; p=0.170\;\mathrm{and}\;{\boldsymbol{\chi}}_{(8)}^2=8.50; p=386 \)), and a good explanatory power, with area under ROC curves of 0.788 and 0.879, respectively. The Nagelkerke R2 was 0.240 for the first model end 0.415 for the second.


The public sector physicians in our sample displayed little reaction to crisis and related austerity measures in terms of reduction of public hours and intention to leave. A limited proportion of physicians declared their intention to leave the country in the short term, with specific personal characteristics and valuations of job features associated with such intentions. We did not find evidence of a shift in physicians’ time allocation towards private work, and this was unexpected, given physicians’ own perceptions of the private sector’s recent growth following the crisis. This could be explained either by the underrepresentation of private sector workers in our sample, or by the country’s private sector inability to provide job opportunities for all the physicians willing to engage with it. Despite its recent expansion, private medical employment in Portugal may still be an option only for selected physicians - the most senior ones, and for specific specialties - with junior doctors all but cut-off from real opportunities [34]. The implication of these findings for physician income behaviour theory would be that, although physicians may be rationally inclined to select the mix of public and private work that maximises their income, local market conditions would end up playing a larger than expected role in their allocation decisions across professional activities, which resonates with the arguments already put forward by some economics scholars [34, 35].

Our findings on the relation between work and leisure time, intentions to leave, and physicians’ appreciation of the characteristics of their job in Portugal suggest that some physicians may have decided to stay in their current employment, but to work less intensely in response to the deteriorating conditions. This would be consistent with labour economics theory on the income-leisure trade-off, as well as with the literature on physicians’ preferences for pecuniary and non-pecuniary job characteristics [36]. As the medical profession in Portugal still enjoys a privileged status and guarantees comparatively better remuneration even despite the recent cuts, it is easy to see why many physicians still consider acceptable their current terms of employment, and would be reluctant to seek riskier alternatives. It will be critical for policy purposes to understand better their demand’s wage elasticity, and identify a threshold for those combinations of labour and remuneration below which physicians may start leaving the public sector.

This paper adds to the growing body of knowledge on the impact of economic crisis on health and health systems, particularly in Southern European countries [2, 8, 11, 14]. It suggests that its effects on physicians may be more nuanced than originally thought because of the inherent resilience of the profession and of the wider health system. To some extent, our work lends support to existing theories of individual and professional resilience [19, 20] showing that physicians with specific characteristics (e.g., being married, having a strong personal and professional network with the country) build intrinsic resistance in the face of deteriorating conditions and increased workload. Rather than pointing towards a clear-cut reaction or adaptation strategy to the crisis, our findings are suggestive of piecemeal, differentiated adjustments that physicians in Portugal may be adopting to cope with changing circumstances, depending on their seniority and place of practice [14].

The findings above will have to be taken with a degree of caution, as our study is affected by limitations in terms of our approach to exploring resilience to the crisis, the sample’s representativeness, our use of physicians’ valuations as proxies for unobservable variables, and physicians’ responses on their own time allocations and earnings. We assumed any change in hours worked between 2010 and 2015 and intentions to migrate to be related to the crisis, but we cannot exclude the effect of confounding factors such as changes in individual physicians’ personal circumstances. We carried out our study in the Greater Lisbon area, which concentrates a large share of Portugal’s population and services, and may not be representative of the country in terms of physician specialties, workload, and opportunities for private sector employment. Ours was also a sample of physicians who decided (or had no alterantive but) to stay in the public sector; as a consequence, our findings may not be representative of the country’s general physician population. Finally, we asked physicians to state their earnings and allocation of time to activities before and after the crisis; such an exercise of recollection proved to be a difficult task for some interviewees, and we are aware it may have introduced a recall bias [37].


We conducted a survey among public sector physicians in Portugal’s capital city area, and looked at how changes in allocation of their time across professional activities and intention to migrate were associated with personal characteristics and valuations of coping strategies and mitigating factors.

This study adds to the existing body of work on the impact of the economic crisis on Europe’s health systems and health professionals; although the physicians in our sample displayed overall little reaction in terms of public hours workload and intention to leave, we showed changes in the former to be associated with specific personal characteristics, place of work, and possible coping strategies. Some personal characteristics were found to have a negative effect on physicians’ intentions to migrate, but positive attitudes towards current employment and high valuations for family ties and for lifestyle in Portugal showed a negative association with migration intentions.

Despite the limitations, our findings further the debate on individual resilience and physicians' coping strategies in times of economic slowdowns, and on their terms of engagement with the labour market. This work shows the importance of understanding health workers’ reactions and adaptations to changing circumstances before designing policies to improve their work conditions and retention.


  1. Stuckler D, Basu S, Suhrcke M, Coutts A, McKee M. The public health effect of economic crises and alternative policy responses in Europe: an empirical analysis. Lancet. 2009;374(9686):315–23.

    Article  PubMed  Google Scholar 

  2. Tapia Granados JA, Rodriguez JM. Health, economic crisis, and austerity: a comparison of Greece, Finland and Iceland. Health Policy Amst Neth. 2015;119(7):941–53.

    Article  Google Scholar 

  3. Hessel P, Vandoros S, Avendano M. The differential impact of the financial crisis on health in Ireland and Greece: a quasi-experimental approach. Public Health. 2014;128(10):911–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Thomas S, Burke S, Barry S. The Irish health-care system and austerity: sharing the pain. Lancet. 2014;383(9928):1545–6.

    Article  PubMed  Google Scholar 

  5. Glonti K, Gordeev VS, Goryakin Y, Reeves A, Stuckler D, McKee M, et al. A systematic review on health resilience to economic crises. PLoS ONE. 2015;10(4):e0123117.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Burke S, Thomas S, Barry S, Keegan C. Indicators of health system coverage and activity in Ireland during the economic crisis 2008–2014 – From “more with less” to “less with less.”. Health Policy. 2014;117(3):275–8.

    Article  PubMed  Google Scholar 

  7. Branas CC, Kastanaki AE, Michalodimitrakis M, Tzougas J, Kranioti EF, Theodorakis PN, et al. The impact of economic austerity and prosperity events on suicide in Greece: a 30-year interrupted time-series analysis. BMJ Open. 2015;5(1):e005619.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Taroni F. Health care policy and politics in Italy in hard times. J Health Serv Res Policy. 2015;3:1355819615585894.

    Google Scholar 

  9. van Oostrom SH, Gijsen R, Stirbu I, Korevaar JC, Schellevis FG, Picavet HSJ, et al. Time trends in prevalence of chronic diseases and multimorbidity not only due to aging: data from general practices and health surveys. PLOS ONE. 2016;11(8):e0160264.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Bartoll X, Toffolutti V, Malmusi D, Palència L, Borrell C, Suhrcke M. Health and health behaviours before and during the Great Recession, overall and by socioeconomic status, using data from four repeated cross-sectional health surveys in Spain (2001–2012). BMC Public Health. 2015;15:865.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Heras-Mosteiro J, Sanz-Barbero B, Otero-Garcia L. Health care austerity measures in times of crisis the perspectives of primary health care physicians in Madrid, Spain. Int J Health Serv. 2016;46(2):283–99.

    Article  PubMed  Google Scholar 

  12. Lopez-Valcarcel BG, Barber P. Economic crisis, austerity policies, health and fairness: lessons learned in Spain. Appl Health Econ Health Policy. 2016;26:1–9.

    Google Scholar 

  13. Carney M. Challenges in healthcare delivery in an economic downturn, in the Republic of Ireland. J Nurs Manag. 2010;18(5):509–14.

    Article  PubMed  Google Scholar 

  14. Russo G, Rego I, Perelman J, Barros PP. A tale of loss of privilege, resilience and change: the impact of the economic crisis on physicians and medical services in Portugal. Health Policy Amst Neth. 2016;120(9):1079–86.

    Article  Google Scholar 

  15. Cervero-Liceras F, McKee M, Legido-Quigley H. The effects of the financial crisis and austerity measures on the Spanish health care system: a qualitative analysis of health professionals’ perceptions in the region of Valencia. Health Policy Amst Neth. 2015;119(1):100–6.

    Article  Google Scholar 

  16. Porter ME, Teisberg EO. How physicians can change the future of health care. JAMA. 2007;297(10):1103–11.

    Article  CAS  PubMed  Google Scholar 

  17. Deary IJ, Blenkin H, Agius RM, Endler NS, Zealley H, Wood R. Models of job-related stress and personal achievement among consultant doctors. Br J Psychol Lond Engl 1953. 1996;87(Pt 1):3–29.

    Google Scholar 

  18. Castleden M, McKee M, Murray V, Leonardi G. Resilience thinking in health protection. J Public Health Oxf Engl. 2011;33(3):369–77.

    Article  Google Scholar 

  19. Epstein RM, Krasner MS. Physician resilience: what it means, why it matters, and how to promote it. Acad Med J Assoc Am Med Coll. 2013;88(3):301–3.

    Article  Google Scholar 

  20. Rutter M. Implications of resilience concepts for scientific understanding. Ann N Y Acad Sci. 2006;1094(1):1–12.

    Article  PubMed  Google Scholar 

  21. McManus I, Keeling A, Paice E. Stress, burnout and doctors’ attitudes to work are determined by personality and learning style: a twelve year longitudinal study of UK medical graduates. BMC Med. 2004;2:29.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Thomas S, Keegan C, Barry S, Layte R, Jowett M, Normand C. A framework for assessing health system resilience in an economic crisis: Ireland as a test case. BMC Health Serv Res. 2013;13(1):450.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Kaufman BE, Hotchkiss JL. The economics of labor markets. Thomson/South-Western: Mason; 2003.

    Google Scholar 

  24. Alameddine M, Baumann A, Laporte A, Deber R. A narrative review on the effect of economic downturns on the nursing labour market: implications for policy and planning. Hum Resour Health. 2012;10(1):23.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Ifanti AA, Argyriou AA, Kalofonou FH, Kalofonos HP. Physicians’ brain drain in Greece: a perspective on the reasons why and how to address it. Health Policy Amst Neth. 2014;117(2):210–5.

    Article  Google Scholar 

  26. Gouda P, Kitt K, Evans DS, Goggin D, McGrath D, Last J, et al. Ireland’s medical brain drain: migration intentions of Irish medical students. Hum Resour Health. 2015;13(1):11.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Humphries N, McAleese S, Matthews A, Brugha R. “Emigration is a matter of self-preservation. The working conditions…are killing us slowly”: qualitative insights into health professional emigration from Ireland. Hum Resour Health. 2015;13(1):35.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Barros PP. Health policy reform in tough times: the case of Portugal. Health Policy Amst Neth. 2012;106(1):17–22.

    Article  Google Scholar 

  29. Kronenberg C, Barros PP. Catastrophic healthcare expenditure – drivers and protection: the Portuguese case. Health Policy. 2014;115(1):44–51.

    Article  PubMed  Google Scholar 

  30. Perelman J, Felix S, Santana R. The great recession in Portugal: Impact on hospital care use. Health Policy. 2015;119(3):307–15.

    Article  PubMed  Google Scholar 

  31. R Development Core Team. R. A language and environment for statistical computing [internet]. Vienna: R Foundation for Statistical Computing; 2008.

    Google Scholar 

  32. Smithson M, Merkle EC. Generalized linear models for categorical and continuous limited dependent variables. 1st ed. Boca Raton: Chapman and Hall/CRC; 2013. 308 p.

    Google Scholar 

  33. Hosmer D, Lemeshow S, Sturdivant RX. Applied Logistic Regression. 3rd ed. Hoboken: Wiley; 2013. 528 p.

    Book  Google Scholar 

  34. González P. Should physicians’ dual practice be limited? An incentive approach. Health Econ. 2004;13(6):505–24.

    Article  PubMed  Google Scholar 

  35. Sæther EM. Physicians’ labour supply: the wage impact on hours and practice combinations. Labour. 2005;19(4):673–703.

    Article  Google Scholar 

  36. Scott A. Eliciting GPs’ preferences for pecuniary and non-pecuniary job characteristics. J Health Econ. 2001;20(3):329–47.

    Article  CAS  PubMed  Google Scholar 

  37. Friedenreich CM. Improving long-term recall in epidemiologic studies. Epidemiology. 1994;5(1):1–4.

    Article  CAS  PubMed  Google Scholar 

Download references


The authors would like to acknowledge Ms Inês Rego’s contribution to the survey’s data collection. We are indebted to all the physicians and health workers who accepted to participate to the study. The conclusions of this work are the authors’ sole responsibility.


This project was supported by the Public Health Initiaves Program (PT06), financed by the European Economic Area Financial Mechanism 2009-2014 (grant 00065SM1). The original study 'The impact of the economic crisis on physicians in Portugal' was supported by the 2015 Prize UNL/Santander Totta.

Availability of data and materials

The data that support the findings of this study are available from the Instituto de Higiene e Medicina Tropical (Nova University of Lisbon), but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of Instituto de de Higiene and Medicina Tropical’s Ethics Committee.

Authors’ contributions

GR contributed to the conception of the paper, conducted the data collection and drafted the manuscript. CAP supported the statistical analysis for the paper, and helped finalise the manuscript. JP contributed to the conception of the paper, and helped revise the manuscript. LG supported the statistical analysis, and helped revise the manuscript. PPB contributed to the conception of the paper, and helped revise the manuscript. All authors read and approved the paper’s final version.

Competing interests

The authors declare that they have no competing interests.

Ethics approval and consent to participate

The study received the ethics approval from the Lisbon and Tagus Valley Region Health Authority, as well as from the São José Hospital, Cascais and Amadora ACES, and Instituto de Higiene e Medicina Tropical Ethics Committees. All the participants in the survey red and signed the informed consent form.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Giuliano Russo.

Additional file

Additional file 1: Table S1.

Survey sample, by type of institution and physician category. Table S2. Variable list and description. (DOC 14 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Russo, G., Pires, C.A., Perelman, J. et al. Exploring public sector physicians’ resilience, reactions and coping strategies in times of economic crisis; findings from a survey in Portugal’s capital city area. BMC Health Serv Res 17, 207 (2017).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: