Skip to main content

Trends in cause and place of death for children in Portugal (a European country with no Paediatric palliative care) during 1987–2011: a population-based study



Children and adolescents dying from complex chronic conditions require paediatric palliative care. One aim of palliative care is to enable a home death if desired and well supported. However, there is little data to inform care, particularly from countries without paediatric palliative care, which constitute the majority worldwide.


This is an epidemiological study analysing death certificate data of decedents aged between 0 and 17 years in Portugal, a developed Western European country without recognised provision of paediatric palliative care, from 1987 to 2011. We analysed death certificate data on cause and place of death; the main outcome measure was home death. Complex chronic conditions included cancer, cardiovascular, neuromuscular, congenital/genetic, respiratory, metabolic, gastro-intestinal, renal, and haematology/immunodeficiency conditions. Multivariate analysis determined factors associated with home death in these conditions.


Annual deaths decreased from 3268 to 572. Of 38,870 deaths, 10,571 were caused by complex chronic conditions, their overall proportion increasing from 23.7% to 33.4% (22.4% to 45.4% above age 1-year). For these children, median age of death increased from 0.5 to 4.32-years; 19.4% of deaths occurred at home, declining from 35.6% to 11.5%; factors associated with home death were year of death (adjusted odds ratio 0.89, 95% confidence interval 0.89–0.90), age of death (6–10 year-olds 21.46, 16.42–28.04, reference neonates), semester of death (October–March 1.18, 1.05–1.32, reference April–September), and cause of death (neuromuscular diseases 1.59, 1.37–1.84, reference cancer), with wide regional variation.


This first trend analysis of paediatric deaths in Portugal (an European country without paediatric palliative care) shows that palliative care needs are increasing. Children are surviving longer and, in contrast with countries where paediatric palliative care is thriving, there is a long-term trend of dying in hospital instead of at home. Age, diagnosis, season and region are associated with home death, and should be considered when planning services to support families choosing this option. Priorities should address needs of the youngest children, those with cancer, neuromuscular and cardiovascular conditions, as well as inequities related to place of residence.

Peer Review reports


Due to public health improvements and medical advances, paediatric deaths are rare in developed countries [1,2,3]. However, children should not be forgotten when integrating palliative care (PC) in the healthcare continuum, as recently recommended by the World Health Organization [4]. Worldwide, only 5.7% of countries provide well-developed paediatric palliative care (PPC); 66% have no reported activity, compared to 32% for adults [5, 6]. Hindering PPC development is a non-uniform definition of need. A step forward was taken with a definition of “complex chronic conditions” (CCCs), considering function, quality of life and service needs - “any medical condition that can be reasonably expected to last at least 12 months (unless death intervenes) and to involve either several different organ systems or one organ system severely enough to require specialty pediatric care and probably some period of hospitalization in a tertiary care center”(pg.206) [7].

PC aims, among other goals, to enable a home death (HD) if desired and well supported [1, 8, 9]. While systematic reviews show that most adults would prefer to die at home [10], paediatric evidence is scarcer and more heterogeneous [11]. However, it seems that the opportunity to plan place of death (PoD), reflecting family choice, promotes parental preparedness and comfort [12]. Caring for and enabling a child to die at home increases parental adaptation to loss [13, 14], while decreasing the burden on healthcare providers [14, 15].

Both cause and PoD are essential for informing service development but are understudied in Paediatrics. Most research originates from culturally similar countries with mature PPC services [2, 7, 16,17,18,19,20,21,22,23,24,25] showing that most families prefer care and death at home when support is available, and that the HD proportion is high and increasing.

There is great need for epidemiological evidence from different settings. Portugal is a Western European developed country with a publicly-funded healthcare system (with income-modulated fees), praised for its achievements in childhood health indicators [26]. However, while adult PC availability is considered to be generalised (group 3b), no paediatric provision is yet recognised [5, 6]. Therefore, Portugal represents the ideal setting for our aim: to examine the epidemiological situation of paediatric deaths in a country without PPC, describing trends in cause and PoD and factors related to HD in CCCs (disease-related, socio-demographic and environmental).


This is a cross-sectional epidemiological population-based study of mortality data, examining death certificates for individuals deceased in Portugal from 1987 to 2011, before their eighteenth birthday (legal paediatric age-limit). The National Institute of Statistics (NIS) provided a dataset free-of-charge with individual anonymised death certificate information; the country’s death certificate data are considered to be of medium-high quality [27]. Data were analysed in IBM SPSS v21® and Excel:Mac2011 v14©. STROBE guidelines and methodology were adhered to.

Cause of death (1987–2001 International Classification of Diseases, 9th revision - ICD-9; 2002–2011 ICD-10) was recoded in three major groups: CCCs (Additional file 1: Table S1) [2, 18], other medical causes (OMCs), and trauma.

In Portuguese death certificates, PoD is recorded in three categories: “domicile (any non-public non-clinical place), “hospital/clinic (any clinical facility), and “other place (any public space). Since there are no paediatric hospices, it can be assumed that “domicile” represents home, and “hospital/clinic” represents hospital. For CCCs, the PoD analysis focused on home versus elsewhere (hospital/other place).

Gender, nationality, place of residence, age, cause and date of death (weekday, month, trimester, semester, year) were examined as potential explanatory variables of PoD. Nationality was thought to be of relevance since there is a large number of resident immigrant children from African Portuguese speaking countries (former Portuguese colonies). Age was non-normally distributed and analysed non-parametrically. For infants, there was additional data on parents’ age, education and working status. Place of residence was the only variable available to inform on socio-economic status; it was used as a proxy, transformed (according to 2011 area level tools provided by the NIS) into urbanisation level (high, medium, and low), population density (quintiles) and bed ratio (number of beds in health establishments per 1000 inhabitants, above or below national average).

Three variables with high levels of missing data were excluded (urbanisation level, mothers’ working status, and father’s educational level); multiple imputation was deemed inappropriate as it would lead to an unacceptable level of assumptions (missing data in 31.4–66.7% of cases).

To control for differences in age and gender distribution over time, we calculated crude and standardised percentages of deaths by PoD using direct standardisation (1987’s decedent population as standard), as well as the infant mortality rate, using NIS population data. For CCCs, bivariate analyses explored associations between HD and potential explanatory variables; those with significant association (p < 0.05) were entered into a multivariate analysis (MVA), conducted on complete cases. Logistic regression models were run using backwards-stepwise likelihood-ratio selection of variables; goodness-of-fit was evaluated by Wald statistics and the model’s λ2, Nagelkerke R2 and classification table.

For clinical usefulness and comparability [2, 21] we conducted sub-analyses for decedents under and above age 1-year. For infants, the model retaining sub-region was rejected for having high standard error in Wald statistics (probably due to very small numbers of HD in most sub-regions).


In this 25-year period, 38,870 deaths of 0–17 year-olds (yo) were registered in Portugal, representing 1.5% of all deaths (decreasing from 3.4% in 1987 to 0.6% in 2011). Annual paediatric deaths decreased by 82.5% (3286 to 572) and the infant mortality rate by 76% (from 9.9 to 2.4).

Cause of death

CCCs caused 27.2% of deaths, increasing from 23.7 to 33.4% (Fig. 1); this increase was more pronounced beyond infancy, from 22.4 to 45.4%. OMCs caused 49.1% and trauma 23.7% of all deaths.

Fig. 1
figure 1

Cause of death of 0–17 year-olds in Portugal (1987–2011, N = 38,870). Footnote: Percentages may not add to 100 due to rounding. λ2 for trend (complex chronic conditions vs. others) 72.722, 1df, p < 0.001

Of CCCs’ decedents 55.0% were male and 50.6% were infants (Table 1). Over the study period age at death gradually increased: median age of death increased from 0.50 years (interquartile range 0.01–6.79) in 1987 to 4.32 years (0.10–10.47) in 2011. This was mostly due to a decline in the proportion of infants’ deaths (from 56.3 to 36.1% of CCCs’ deaths) and an increase in adolescents’ 11-17yo (16.8 to 24.1%).

Table 1 Paediatric deaths from complex chronic conditions in Portugal (1987–2011) – demographics, cause and place of death

Cancer was the leading cause of death from CCCs (Table 1), increasing from 24.6 to 38.2% of CCCs’ deaths over the time period. Solid tumours caused more CCC deaths (16.1%) than haematological malignancies (10.5%).

In infants, the predominant CCC diagnoses were cardiovascular, other congenital/genetic, and neuromuscular; in neonates, congenital/genetic conditions prevailed. Beyond infancy, cancer caused half the CCCs’ deaths; neuromuscular and cardiovascular diseases caused another third. Median age of death (Table 1) varied by diagnosis, from 0.00 (renal conditions) to 9.86 years (cancer).

Place of death

Overall, hospital was the most common PoD, increasing from 65.8 to 79.7% (p < 0.001; Additional file 2: Figure S1). This trend was not explained by demographic changes, as it maintained with age- and gender- standardised proportions. Deaths in public places were mostly due to trauma (67.4%).

Only 15.6% of deaths occurred at home, more commonly in CCCs (19.4%) than OMCs (14.8%) or trauma (12.8%). A significant trend towards death away from home was most evident for CCCs (Fig. 2 and Additional file 3: Table S2); despite yearly fluctuations, the last 10 years showed a stabilisation of HDs around 10% for CCCs, and 11% for OMCs and trauma.

Fig. 2
figure 2

Home deaths of 0–17 year-olds in Portugal (1987–2011, N = 38,870) by cause of death. Footnote: λ2 for trend (home vs. elsewhere): Complex Chronic Conditions 406.900, 1df, p < 0.001; Other Medical Causes (OMCs) 153.067, 1df, p < 0.001; Trauma 13.746, 1df, p < 0.001

Home death in complex chronic conditions

Over 25 years, HD in CCCs decreased from 35.6 to 11.5%, the lowest being 7.6% in 2002 (Fig. 2). This trend was also not explained by demographic changes (Additional file 4: Figure S2).

The decrease was more marked in infants and in cancer (Additional files 5 and 6: Figures S3 and S4), and it was not equal across the country. It was more striking in the central (50.9 to 16.1%), and northern (44.0 to 15.0%) than in the capital region (15.8 to 7.0%).

In the bivariate analysis (Additional file 7: Table S3; all differences statistically significant to at least 0.05), the occurrence of HD differed by gender (females 20.3%, males 18.7%), and nationality (Portuguese 25.5%, foreigners 10.1%). Infants (9.7%) died less often at home than older children (29.4%). There were wide regional variations, from a lowest of 5.1% in the southern littoral to 58.5% in the central interior (Additional file 8: Figure S5). The relation between HD and population density was non-linear; HD ranged from 14.2% in the most densely populated quintile to 34.7% in the second least populated. Areas with below-average bed ratios had more HDs (24.1%) than those above-average (9.9%). More HDs happened between October–March (20.7%) than April–September (18.0%); there was no significant association with other time variables. The occurrence of HD varied between 5.0% in respiratory and 29.3% in neuromuscular diseases. Although deaths from haematological malignancies happened less often at home (26.5%) than those from solid tumours (29.4%), this difference was not significant (p = 0.096). For all diagnoses, HD was more frequent above age 1-year (11.4% in respiratory to 39.3% in neuromuscular conditions) than in infancy (3.3% in respiratory conditions to 20.6% in cancer). Children with non-cancer conditions died less often at home (16.2% versus 28.2% in cancer). For infants (Additional file 9: Table S4), HD was more common when the mother had no/basic education (10.9%, 5.0% when more educated). Both parents’ age and fathers’ working status were not statistically significant.

The MVA model for 0-17yo retained five variables as independently associated with HD: year, age, diagnosis, semester, and sub-region (Table 2). The odds of HD decreased by 11% annually. Age influence was non-linear: HD odds increased from neonates (reference) to 6-10yo, decreasing thereafter. Compared to cancer, the highest HD odds were found in neuromuscular and the lowest in respiratory conditions. Deaths in October–March showed higher HD odds than in April–September. HD odds were lowest in Greater Lisbon (capital) and the southern littoral (Algarve and Alentejo Litoral) and highest in a central interior mountainous area (Serra da Estrela).

Table 2 Factors associated with paediatric home deaths from complex chronic conditions in Portugal (1987–2011)

The infants’ model retained six variables (Table 3): year, age, diagnosis, semester, population density and bed ratio. As for 0-17yo, HD odds were higher in 1987, decreasing thereafter 14% annually; dissimilarly, HD odds were higher in cancer and lower in both respiratory and gastro-intestinal conditions. Increased HD odds were associated with below-average bed availability, as well as deaths in October–March. As in bivariate analysis, the association between HD and population density was non-linear.

Table 3 Factors associated with home death in infants and older children from complex chronic conditions in Portugal (1987–2011)

For 1-17yo, the model retained four variables (Table 3): year, age, diagnosis, and sub-region. There was a lesser influence of year on the HD trend, with an annual 10% decrease. As in the first model, those aged 6–10, dying from neuromuscular conditions and living in the central interior had the highest HD odds; the lowest were found in the capital or southern littoral and in respiratory diseases.


In this trend analysis of paediatric mortality data by cause and place of death in a European country without paediatric palliative care, we found that although deaths in children and adolescents have become rare, those caused by CCCs (potentially having PPC needs) are of increasing importance. Without PPC provision, there was a long-term trend of dying away from home, more notably among CCCs. For these, MVA showed that the odds of HD were highest in the beginning of the time-series, 6-10yo, neuromuscular conditions, October–March, and central interior sub-regions. Adjusting for confounders, we found no association with gender, nationality, population density, bed availability, weekday or month of death; for infants, there was also no association with parents’ age, education or working status. This whole-population study supports reliable conclusions with implications for similar countries without PPC provision.

Overall, we found that CCCs caused 27.2% of paediatric deaths, increasing from 23.7% in 1987 to 33.4% in 2011. This represents an increase in proportion from previously reported national data using similar criteria (22.1% in the US, 1989–2003), [19] and is in line with international data showing that while paediatric mortality is decreasing, the proportion due to non-communicable illnesses is rising [28]. Our 2011 figure is comparable to 2002–2003 findings in six European countries (a study using the same CCC criteria), between 27.6 and 35.0% [2]. A more recent report from England, Scotland and Wales (2001–2010), using a newly developed ICD10 list of diagnoses states that 65–71% of decedents 1-18yo died with a chronic condition; 58% had two or more conditions [29].

As previously reported, CCCs were more frequent amid females and younger decedents [7]. However, we observed the median age of death due to CCCs increased substantially, likely explained by medical advances. This urges Paediatric Departments to prepare to deal with an increasing number of youngsters surviving through childhood with complex healthcare needs, some requiring transition to adult services. Nevertheless, in 2011 28.9% of CCCs’ decedents were infants; although decreasing (compared with 1990’s findings in Washington, 41.2%, and Ontario, 37.8%) [7, 16] this set remains critical, since it has the lowest chances of HD (1/69 in 2011). This can be partly explained by most sick newborns never being discharged after a hospital birth, challenging the realistic possibility of reverting this trend [30]. Neonatology should therefore be a greater priority for PPC, aiming to provide the best care and support for child and family wherever desired and possible.

Cancer was the main cause of death from CCCs, in higher figures (26.6%) than reported before (22%, US, 1979–1997) [18]. This may relate to the rising proportion of cancer deaths we found, in line with an increasing paediatric cancer incidence [31].

As in the US (1989–2003) [19] more than 80% of infants’ deaths were due to cardiovascular, other congenital/genetic, and neuromuscular conditions. In 1-17yo, cancer caused 51.3% of deaths, in the mid-range of recent European results (37.4–60.0% in 2002/2003); [2] alike previous reports, neuromuscular and cardiovascular conditions also prevailed [19, 20].

Compared to non-cancer CCCs, cancer patients died more often at home, a finding aligned with others [2, 19, 23]. However, differing from US results, [17, 19] we found neuromuscular conditions had the highest odds of HD. This is not unexpected, as these children usually experience a longer disease trajectory [32] which may allow for advance planning and decision-making, even in the absence of organized PPC provision. Conditions for which we found lower HD odds (e.g. respiratory) frequently rely on complex medical interventions (e.g. invasive ventilation), more prone to crisis admissions. This could also justify the difference between haematological and solid malignancies previously reported [17, 33] one we did not find; this is not easily explained, requiring further research.

While countries with PPC provision report higher and increasing trends for HD in children with CCCs, [3, 19, 34] the decreasing trend we found in Portugal means that while in 1987 1/3 of children in this group died at home, in 2011 only 1/9 did so. In the last 10 years, HD proportions have been similar for CCCs, OMCs, and trauma, highlighting the gap in care provision since expected or unexpected deaths have the same location outcome. This trend towards dying away from home, also reported for adults, [35] could not be explained by the decedents’ changing demographics. Major healthcare system reforms occurred during the 1980’s, improving accessibility to hospital services and several quality indicators; therefore, the HD decrease in acute illnesses likely represents a public health progress. However, no developments ensued in long-term and/or home-care. Accordingly, in a recent survey which found that Portuguese adults, if faced with serious terminal illness, had the lowest preference for HD (51.2%) compared to other Europeans (64.1–84.0%), the authors’ explanations were grounded on culture, religion and economy but also concern about home-care support and community resources [36]. This trend may also reflect the healthcare system and providers’ unawareness about patient-centered medicine and PC, common in the country in the last decades [37].

Previous studies have also shown associations with age and diagnosis (higher beyond infancy and in cancer), [2, 17, 19, 20] but we revealed finer diagnostic differences. As others, [2, 17, 19] we noticed wide variability between sub-regions, not explained by demographic or diagnostic profile nor PPC availability; likely explanations are topographical convenience (which may also justify more HDs in the colder months) and an insufficient number of hospital beds (although more common for adults).

Our analysis revealed a greater decreasing trend of HD in infants (annual fall 14% versus 10%), while highlighting differences in HD odds by diagnosis (lower for infants in all except cardiovascular). Interestingly, semester of death was associated with HD in infants but not in older children, warranting further research. For the 1-17yo, the decreasing trend of HD meant that in 2002–2011 the mean HD proportion was 14.7%. Meantime, in other European countries (2002/2003), this varied between 21.7–22.0% (Italy, Norway) to 31.8–50.0% (England, Wales, Belgium, Netherlands). [2] Both Italy and Norway were by then starting to develop PPC provision. In Washington State, from 1980 to 1998 the 1-17yo’s increasing trend for HD reached 43% [17].

Eight methodological limitations must be considered. First, whilst using disaggregated data from death certificates examined key variables, it did not evaluate the process of care or death [38]. As such, we cannot make considerations about quality of care or death, neither about preferences for death location. Also, we could not measure time from diagnosis to death, a factor revealed to impact on PoD since children who die less than 6 months from diagnosis are more likely to die in the hospital.[32] Secondly, although the classification systems used to code cause and PoD remained the same, there may be measurement biases due to modifications in diagnostic, reporting and coding processes over time; to the best of our knowledge, no major changes occurred. Portugal joined Eurostat (the European statistics office) in 1986 and its death certificate data are considered to be of medium-high quality (i.e. 90–100% completeness and <15% ill-defined codes) [27]. Thirdly, we found a steady percentage of deaths from non-specified causes (11.5%); this expected result [27, 35], the reasons for which should be explored in future national mortality studies, may have underestimated the number of CCCs’ deaths. Fourth, we dropped variables that might have been relevant to PoD, due to high (above 15%) levels of missing data. Fifth, by establishing a 17-years age-limit (focused on the national paediatric setting), we probably missed deaths from childhood CCCs occurring in adulthood, therefore not fully capturing their impact in the healthcare system. Sixth, PoD only has three categories in the Portuguese death certificate; however, to date Portugal has no paediatric hospices, so “domicile” can be assumed to represent home. If services become implemented, coding should expand to include “PPC unit/hospice”. Seventh, small differences and weak associations have statistical significance in a large dataset, hence we advise considering the magnitude of our findings. Still, only 5/30 sub-regions had less than 100 deaths from CCCs. Eighth and finally, when interpreting results for aggregated area level information ecological fallacy may occur, i.e. generalising area information to all individuals within. However, only one such variable (sub-region of residence) stayed in the final model.


Our study provides recent and robust epidemiological data supporting that death from conditions with potential PPC needs is increasingly important in Paediatrics and occurring later in the disease trajectory. It also suggests that where PPC provision is lacking, children and families’ needs are probably largely unmet, as embodied by low and decreasing proportions of HD.

To revert this scenario, it is urgent to implement PPC services and ensure adequate home support for children, regardless of their age, condition and place of residence – factors for which we disclosed wide variations. These findings should be complemented with national surveys to understand needs and preferences of children with CCCs and their relatives, and by studies comparing care experiences in different settings.



Complex chronic conditions


Home death


International Classification of Diseases


Multivariate analysis


National Institute of Statistics


Other medical causes


Palliative care


Place of death


Paediatric palliative care


  1. European Association for Palliative Care Taskforce for palliative care in children. Palliative care for infants, children and young people - the facts. Fondazione Maruzza Lefebvre D'Ovidio Onlus. 2009. Accessed 16 June 2016.

  2. Pousset G, Bilsen J, Cohen J, Addington-Hall J, Miccinesi G, Onwuteaka-Philipsen B, et al. Deaths of children occurring at home in six European countries. Child Care Health Dev. 2009;36(3):375–84.

    Article  PubMed  Google Scholar 

  3. Gomes B, Higginson IJ. Where people die (1974-2030): past trends, future projections and implications for care. Palliat Med. 2008;22(1):33–41.

    Article  PubMed  Google Scholar 

  4. Strengthening of palliative care as a component of comprehensive care throughout the life course. World health assembly. 2014. Accessed 16 Jun 2016.

  5. Knapp C, Woodworth L, Wright M, Downing J, Drake R, Fowler-Kerry S, et al. Pediatric palliative care provision around the world: a systematic review. Pediatr Nurs. 2011;57(3):361–8.

    Google Scholar 

  6. Worldwide Palliative Care Alliance & World Health Organization. Global atlas of palliative Care at the end of life. Connor SR, Bermedo M, eds. 2014. Accessed 16 Jun 2016.

  7. Feudtner C, Christakis DA, Connell F. Pediatric deaths attributable to complex chronic conditions: a population-based study of Washington state, 1980–1997. Pediatrics. 2000;106(1):205–9.

    CAS  PubMed  Google Scholar 

  8. European Association for Palliative Care Taskforce for palliative care in children. IMPaCCT: standards for pediatric palliative care in Europe. Eur J Palliat Care. 2007;14(3):109–14.

    Google Scholar 

  9. American Academy of Pediatrics - Committee on Bioethics and Committee on Hospital Care. Palliative care for children. Pediatrics. 2000;106(2):351–7.

    Article  Google Scholar 

  10. Gomes B, Calanzani N, Gysels M, Hall S, Higginson IJ. Heterogeneity and changes in preferences for dying at home: a systematic review. BMC Palliat Care. 2013;12(7):1–13.

    Google Scholar 

  11. Bluebond-Langner M, Beecham E, Candy B, Langner R, Jones L. Preferred place of death for children and young people with life-limiting and life-threatening conditions: a systematic review of the literature and recommendations for future inquiry and policy. Palliat Med. 2013;27(8):705–13.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Dussel V, Kreicbergs U, Hilden JM, Watterson J, Moore C, Turner BG, et al. Looking beyond where children die: determinants and effects of planning a child's location of death. J Pain Symptom Manag. 2009;37(1):33–43.

    Article  Google Scholar 

  13. Lauer ME, Mulhern RK, Wallskog JM. A comparison study of parental adaptation following a child's death at home or in the hospital. Pediatrics. 1983;71(1):107–12.

    CAS  PubMed  Google Scholar 

  14. Hinds PS, Schum L, Baker JN, Wolfe J. Key factors affecting dying children and their families. J Palliat Med. 2005;8(suppl 1):S70–8.

    PubMed  Google Scholar 

  15. Wolff J, Wolff B. Quality of death in children: where is it higher—at home or in the hospital? Pediatr Blood Cancer. 2008;50(5):945–6.

    Article  PubMed  Google Scholar 

  16. Wang C, Guttmann A, To T, Dick PT. Neighborhood income and health outcomes in infants. Arch Pediatr Adolesc Med. 2009;163(7):608–15.

    Article  PubMed  Google Scholar 

  17. Feudtner C, Silveira MJ, Christakis DA. Where do children with complex chronic conditions die? Patterns in Washington state, 1980-1998. Pediatrics. 2002;109(4):656–60.

    Article  PubMed  Google Scholar 

  18. Feudtner C, Hays RM, Haynes G, Geyer JR, Neff JM, Koepsell TD. Deaths attributed to pediatric complex chronic conditions: national trends and implications for supportive care services. Pediatrics. 2001;107(6):e99.

    Article  CAS  PubMed  Google Scholar 

  19. Feudtner C, Hays RM, Haynes G, Geyer JR, Neff JM, Koepsell TD. Shifting place of death among children with complex chronic conditions in the United States, 1989-2003. JAMA. 2007;297(24):2725–32.

    Article  CAS  PubMed  Google Scholar 

  20. Chang E, MacLeod R, Drake R. Characteristics influencing location of death for children with life-limiting illness. Arch Dis Child. 2013;98(6):419–24.

    Article  PubMed  Google Scholar 

  21. Leuthner SR, Boldt AM, Kirby RS. Where infants die: examination of place of death and hospice/home health care options in the state of Wisconsin. J Palliat Med. 2004;7(2):269–77.

    Article  PubMed  Google Scholar 

  22. Widger K, Davies D, Drouin D, Beaune B, Daoust L, Farran P, et al. Pediatric patients receiving palliative care in Canada. Arch Pediatr Adolesc Med. 2007;161:597–602.

    Article  PubMed  Google Scholar 

  23. Siden H, Miller M, Straatman L, Omesi L, Tucker T, Collins J. A report on location of death in paediatric palliative care between home, hospice and hospital. Palliat Med. 2008;22(7):831–4.

    Article  CAS  PubMed  Google Scholar 

  24. Wolff J, Robert R, Sommerer A, Volz-Fleckenstein M. Impact of a pediatric palliative care program. Pediatr Nurs. 2010;54:279–83.

    Google Scholar 

  25. Vadeboncoeur CM, Splinter WM, Rattray M, Johnston DL, Coulombe L. A paediatric palliative care programme in development: trends in referral and location of death. Arch Dis Child. 2010;95(9):686–9.

    Article  CAS  PubMed  Google Scholar 

  26. UNICEF. Levels and trends in child mortality - report 2013. Accessed 16 June 2016.

  27. Mahapatra P, Shibuya K, Lopez AD, Coullare F, Notzon FC, Rao C, et al. Civil registration systems and vital statistics: successes and missed opportunities. Lancet. 2007;370:1653–63.

    Article  PubMed  Google Scholar 

  28. Viner RM, Coffey C, Mathers C, Bloem P, Costello A, Santelli J, et al. 50-year mortality trends in children and young people: a study of 50 low-income, middle-income, and high-income countries. Lancet. 2011;377:1162–674.

    Article  PubMed  Google Scholar 

  29. Hardelid P, Dattani N, Gilbert R, Macfarlane A, Saxena S, Muller-Pebody P, et al. Estimating the prevalence of chronic conditions in children who die in England, Scotland and Wales: a data linkage cohort study. BMJ Open. 2014;4(8):e005331.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Craig F, Mancini A. Can we truly offer a choice of place of death in neonatal palliative care? Semin FetalNeonatal Med. 2013;18(2):93–8.

    Article  Google Scholar 

  31. Steliarova-Foucher E, Stiller C, Kaatsch P, Berrino F, Coebergh JW, Lacour B, et al. Geographical patterns and time trends of cancer incidence and survival among children and adolescents in Europe since the 1970s (the ACCIS project): an epidemiological study. Lancet. 2004;364(9451):2097–105.

    Article  PubMed  Google Scholar 

  32. Hain R, Wallace A. Progress in palliative care for children in the UK. Paediatr Child Health. 2008;18(3):141–6.

    Article  Google Scholar 

  33. Shah A, Diggens N, Stiller C, Murphy D, Passmore J, Murphy MFG. Place of death and hospital care for children who died of cancer in England, 1999–2006. Eur J Cancer. 2011;47(14):2175–81.

    Article  PubMed  Google Scholar 

  34. Hardelid P, Dattani N, Davey J, Pribramska I, Gilbert R. Overview of child deaths in the four UK countries - report September 2013. Royal College of Paediatrics and Child Health. 2013; Accessed 1 Oct 2017

  35. Sarmento VP, Higginson IJ, Ferreira PL, Gomes B. Past trends and projections of hospital deaths to inform the integration of palliative care in one of the most ageing countries in the world. Palliat Med. 2016;30(4):363–73.

    Article  PubMed  Google Scholar 

  36. Gomes B, Higginson IJ, Calanzani N, Cohen J, Deliens L, Daveson BA, et al. Preferences for place of death if faced with advanced cancer: a population survey in England, Flanders, Germany, Italy, the Netherlands. Portugal and Spain Ann Oncol. 2012;23(8):2006–15.

    Article  CAS  PubMed  Google Scholar 

  37. EAPC Atlas of Palliative Care in Europe (Full Edition). Centeno C, Lynch T, Donea O, Rocafort J, Clark D. EAPC Press. 2013. Accessed 16 June 2016.

  38. Cohen J, Bilsen J, Miccinesi G, Lofmark R, Addington-Hall J, Kasa S, et al. Using death certificate data to study place of death in 9 European countries: opportunities and weaknesses. BMC Public Health. 2007;7(1):283.

    Article  PubMed  PubMed Central  Google Scholar 

Download references


We wish to thank the Calouste Gulbenkian Foundation for including this study in the DINAMO Project, which aims at enhancing advanced training and research to optimise home palliative care in Portugal (Principal Investigator – Barbara Gomes, Scientific Director – Irene J. Higginson, other members – Pedro L. Ferreira, Hélder Aguiar, Ana F. Lacerda, Vera P. Sarmento, Duarte Soares, Rita Canário, Maja de Brito, Catarina Ribeiro, Diogo M. Branco). We also thank the National Institute of Statistics for providing the mortality database with no costs associated and for granting access to the safe centre and on-site support.


Calouste Gulbenkian Foundation. The funder had no role in the design of the study and collection, analysis and interpretation of the data and in writing the manuscript.

Availability of data and materials

The dataset on which this research is based cannot be shared has it is considered by the NIS to be sensitive individual information, not to become public.

Author information

Authors and Affiliations



AFL: literature search, study design, data analysis, data interpretation, writing, figures, Tables. BG: study design, access to data, data analysis, data interpretation, writing. Both authors have read and approved the final version of this manuscript.

Corresponding author

Correspondence to Barbara Gomes.

Ethics declarations

Authors’ information

AL is a paediatric oncologist with decades of experience in caring for children and families with palliative care needs. After completing her MSc degree at King’s College London she has undertaken a pivotal role in the development of paediatric palliative care in Portugal. BG, with a psychology background, is a renowned researcher in the field of palliative care, both in the UK and in Portugal, where she is taking forward the development of homecare services based on high-quality evidence.

Ethics approval and consent to participate

The study protocol was submitted to appreciation by the King’s College London Research Ethics Office and it was considered as not requiring approval by a Research Ethics Committee, since the data were pseudo-anonymised and non-sensitive, referring to deceased subjects.

Consent for publication

Not applicable.

Competing interests

All authors declare that they have no competing interests.

Publisher’s Note

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

Additional files

Additional file 1: Table S1.

ICD codes used to recode cause of death. (DOCX 93 kb)

Additional file 2: Figure S1.

Trend for place of death of 0–17 year-old decedents in Portugal (1987–2011, N = 38,870). (DOCX 131 kb)

Additional file 3: Table S2.

Annual trend for home death in 0–17 year-old decedents from complex chronic conditions in Portugal (1987–2011). (DOCX 65 kb)

Additional file 4: Figure S2.

Trend for place of death of 0–17 year-old decedents from CCCs in Portugal (1987–2011, N = 10,571). (DOCX 119 kb)

Additional file 5: Figure S3.

Trend for home death in 0–17 year-old decedents from complex chronic conditions in Portugal (1987–2011, N = 10,571) by age groups below and above 1 year. (DOCX 109 kb)

Additional file 6: Figure S4.

Trend for home death in 0–17 year-old decedents from cancer and non-cancer CCCs in Portugal (1987–2011, N = 10,571). (DOCX 101 kb)

Additional file 7: Table S3.

Bivariate analysis of factors associated with home death for 0–17 years-old decedents from complex chronic conditions in Portugal (1987–2011). (DOCX 73 kb)

Additional file 8: Figure S5.

Percentage of deaths occurring at home, by subregion NUTS III, in 0–17 year-old decedents from CCCs in Portugal (1987–2011, N = 10,440). (DOCX 502 kb)

Additional file 9: Table S4.

Bivariate analysis of parents’ factors associated with home death for <1yo decedents from complex chronic conditions in Portugal (1987–2011). (DOCX 56 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

Verify currency and authenticity via CrossMark

Cite this article

Forjaz de Lacerda, A., Gomes, B. Trends in cause and place of death for children in Portugal (a European country with no Paediatric palliative care) during 1987–2011: a population-based study. BMC Pediatr 17, 215 (2017).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Child
  • Epidemiology
  • Health services
  • Mortality
  • Palliative care