Journal Information
Vol. 25. Issue 4.
Pages 308-313 (July - August 2011)
Not available
Vol. 25. Issue 4.
Pages 308-313 (July - August 2011)
Original article
Open Access
Nursing workload predictors in Catalonia (Spain): a home care cohort study
Variables predictoras de las cargas de trabajo de enfermería en Cataluña: seguimiento de una cohorte de atención domiciliaria
Joan Gené Badiaa,b,c,d,??
Corresponding author

Corresponding author.
, Alícia Borràs Santosd, Joan Carles Contel Segurab, Ma Dolors Camprubí Casellasb, Francisco Cegri Lombardob, Antonio Heras Tebarb, Ramón Noguera Rodrígueze, Susana González Martínezf, Anna Oliver Oliusg, Martiño Piñeiro Gonzálezc, Teresa Montanuy Barób, Esther Limón Ramírezb, Antonio Aranzana Martínezb, Roser Pedret Llaberiab, Manuel Borrell Muñozh, Antonio Hidalgo Garcíad
a Consorci d’Atenció Primària de Salut de l’Eixample (CAPSE), Barcelona, España
b Institut Català de la Salut, Barcelona, España
c Universitat de Barcelona, Departament de Salut Pública, Barcelona, España
d Institut de Recerca Jordi Gol i Gurina, Barcelona, España
e Consorci de Salut Integral (C.S.I.), Barcelona, España
f CAP Les Corts Gesclinic, Barcelona, España
g CAP Larrard PAM, Barcelona, España
h EAP Sarrià, Barcelona, España
This item has received
Not available
(Daily data update)

Under a Creative Commons license
Article information
Full Text
Download PDF
Tables (5)
Table 1. Patient characteristics at initial assessment (N=1,068) and after 1 year of follow-up (N=1002).
Table 2. Carer characteristics at initial assessment (N=1068) and after 1 year of follow-up (N=1002).
Table 3. Health and social services use (initial and at 1 year of follow-up) (N=1068 and N=1002).
Table 4. Initial patient characteristics associated with nursing visits in the subsequent year: bivariate analysis.
Table 5. Initial patient characteristics associated with nursing visits in the subsequent year. Multivariate analysis: negative binomial model (N=890).
Show moreShow less

To identify the characteristics of chronic patients and their environment in order to predict the nursing workload required 1 year after their inclusion in a home care program.


A longitudinal study was carried out in 72 primary health care teams in Catalonia (Spain) with a 1-year follow-up of 1,068 home care patients over 64 years old. The variables collected from each patient included data on health and social status (Charlson and Barthel indexes and the Pfeiffer, Braden and Gijon scales), carer overburden (Zarit scale), hospital admissions, use of emergency services, self-perceived health (SF-12) and the number of health worker visits.


Patients received 7.2 (SD 10.4) visits per year from their nurse-in-charge, out of a total of 8.7 (SD 13.1) nursing visits per year. Risk factors for receiving more nursing visits at home were male gender (IRR=1.42, 95%CI: 1.20-1.67), dependency for daily activities (IRR=1.65, 95%CI: 1.29-2.13), decubitus ulcers (IRR=4.03, 95%CI: 2.27-7.14) and receiving emergency medical care at home (IRR=1.65, 95%CI: 1.31-2.07). In contrast, patients with major cognitive impairment (IRR=0.78, 95%CI: 0.63-0.98) had a lower probability of receiving nursing visits at home.


Workload can be predicted by patients’ clinical characteristics. The positive correlation of workload with variables related to disease severity and the negative correlation with variables related to cognitive impairment show that home care nursing in Catalonia is basically demand-oriented.

Nursing workload
Home care
Primary care

Identificar las características basales de los pacientes crónicos y su entorno que predicen la carga de trabajo de enfermería durante el año siguiente a su inclusión en un programa de atención domiciliaria (ATDOM).


Estudio longitudinal realizado en 72 equipos de atención primaria de salud en Cataluña. Seguimiento durante un año de 1068 pacientes de ATDOM mayores de 64 años de edad. Variables recogidas: nivel de salud y situación social (test de Charlson, Barthel, Pfeiffer, Braden y Gijón); sobrecarga del cuidador (Test de Zarit); ingresos hospitalarios y visitas a urgencias; estado subjetivo de salud (SF-12); visitas de los profesionales de salud.


Los pacientes recibieron 7,2 (DE: 10,4) visitas anuales de su enfermera habitual. Observamos que tienen más riesgo de recibir visitas de enfermería los pacientes varones (IRR=1,42, IC95%: 1,20-1,67), con dependencia para las actividades de la vida diaria (IRR=1,65, IC95%: 1,29-2,13), afectados por úlceras por decúbito (IRR=4,03, IC95%: 2,27-7,14) y que precisaron servicios de atención de urgencia a domicilio (IRR=1,65, IC95%: 1,31-2,07). Por otro lado, los pacientes con deterioro cognitivo importante tienen menos probabilidad de recibir visitas de su enfermera (IRR=0,78, IC95%: 0,63-0,98).


Las características clínicas de los pacientes permiten predecir la carga de trabajo de enfermería. Esta relación positiva de la carga de trabajo con las variables relacionadas con la gravedad de la enfermedad y la relación negativa con el deterioro cognitivo muestra que la enfermería domiciliaria en Cataluña está básicamente orientada a la demanda.

Palabras clave:
Carga de trabajo de enfermería
Atención domiciliaria
Atención primaria
Full Text

The development of home care programs in Catalonia (Spain) has been favored by increased life expectancy, changes in the traditional Mediterranean family structure, reduced length of hospital stay, and the shortage of nursing homes and long term hospital wards, combined with the desire of the elderly to continue living in the community. This region of Spain has a National Health Service that provides healthcare to all citizens free of charge at the moment of delivery. A total of 340 teams, covering a geographically delimited area from 5 to 25 thousand inhabitants each, provide primary care. Each team carries out a home care program intended for patients who cannot visit the health center to receive primary care services. As in other developed countries, nurses lead the home care programs1. In Catalonia, primary care nurses devote 5h a week to this activity, twice the time devoted by physicians and social workers2. As care providers, nurses play a central role in promoting health, reducing functional status impairment and ensuring the continuity of care by the different health professionals who provide services to these patients3.

Because of the large volume of resources allocated to this program and the need to rationalize the nursing workforce, current practices and the factors that affect the nursing workload must be evaluated, even though measuring the role of nursing care is extremely difficult, given the complex, multitasking characteristics of this work4.

Several factors related to disease severity and comorbidity have been identified as being associated with nursing workload, although these results are very much influenced by the nursing organization system used and by the patients’ needs assessment carried out by the nurses5–7. However, the majority of these studies were carried out in cultures and health services that differ substantially from Catalan services1,8–10. To plan future nursing activity and identify opportunities for improvement, the programs currently used in Catalonia must be evaluated. The purpose of our study was to identify the variables that would allow us to predict the nursing workload needed to treat patients 1 year after admission to a home care program. These variables were based on the characteristics of patients over 64 years of age, their families and the health and social services they received. This information may be of great help to primary care teams in predicting nursing requirements after initial patient assessment.


The methodology of this longitudinal study can be consulted in Gené et al11. The current analysis is based on the data from the initial assessment and the first year of follow-up.

The patient inclusion criteria were as follows: non-institutionalized chronic patients over 64 years of age who were unable to travel to the primary healthcare center to seek healthcare and who had been included in a home care program from July 1 to December 31, 2005 or patients who, during this inclusion period, had already been in the program for less than 12 months.

The patient exclusion criteria were the following: patients who refused to participate, transitory patients (followed-up by the team for less than 9 months/year), patients with a life expectancy of less than 4 months (according to the healthcare professional's prognosis), patients provided temporary care after surgery and those with dementia whose carers also had dementia (hampering data collection).

Data collection

For patient recruitment purposes, each of the 378 primary healthcare professionals (general practitioners, nurses and social workers) who agreed to participate in the study randomly selected an average of three patients who fulfilled the inclusion criteria. Each health professional participating in the study acted as a collaborative researcher and was responsible for administering the questionnaires used in the study and for the gathering the necessary patient information from the clinical visit, clinical records and reports from other healthcare providers.

The following data were collected from each patient: comorbidity level (Charlson index) 12, functional status (Barthel index) 13, cognitive status (Pfeiffer scale) 14, presence of decubitus ulcers, risk of development of ulcers (Braden scale) 15, subjective health status (SF-12) 16, social risk (Gijon social scale) 17, use of health services (palliative care, home care rehabilitation and others), formal and informal social help (home help, teleassistance, meal on wheels, volunteer care, day center stays and others) and carer burden (Zarit scale) 18. Data on hospital admissions, emergency room visits and home emergency visits were extracted from the patients’ clinical records by the collaborative researchers. During the first year after recruitment, we collected data on visits by primary healthcare personnel (general practitioner, nurses and social workers). All the above-mentioned questionnaires have been validated to enable their use in the Spanish context.

Researchers participating in the study received training for data collection standardization. Data were analyzed centrally. A continuous data quality assurance process was carried out to minimize errors and information loss. A research team member validated 10% of the data gathered by collaborative researchers from the patients’ original clinical records.

Sample size

We used Granmo software to perform the sample size calculations (cohort studies and relative risk option). Although our objective was not to focus exclusively on the exposure variable ‘presence of decubitus ulcers’, we had to choose a reference exposure variable for the sample size calculation. We agreed to choose this ‘decubitus ulcer variable’ because it was recognized in the literature as the item most closely related to nursing activity19. Accepting an alpha risk of 0.05 and a beta risk of 0.20 in a bilateral contrast, 116 patients were needed in the exposed group (with decubitus ulcers) and 707 in the unexposed group to detect a minimum relative risk of 1.3, with a disease ratio of 0.5 in the unexposed group, expecting a proportion of missing values of 10%.

Statistical analysis

Qualitative variables were described by frequency tables and quantitative variables by the mean and the standard deviation. The dependent variable used in our study was nursing visits in the first year of follow-up. We used the variables collected in the initial assessment to predict nursing visits received by patients the following year.

Our dependent variable of nursing visits followed a Poisson distribution. A negative binomial model20 was required because of data overdispersion. In the bivariate analysis we selected the variables with a p<0.10 and added other important variables to these variables in the multivariate model. Because the time between the first and second data collections was not constant, an offset parameter was included in the model.

The statistical analysis was carried out using the SPSS 13 program (univariate analysis) and STATA 9.1 (bivariate and multivariate analysis).


Of the 1,068 patients enrolled in the study, 1,002 were followed-up for a year. Patient characteristics are shown in Table 1. The characteristics of the 66 patients that did not complete the follow-up were not significantly different from those of the remaining patients. The proportion of patients with severe dependency, cognitive impairment, social problems and risk of decubitus ulcers increased in the follow-up year. However, comorbidity and self-perceived health did not vary significantly during this period. Tobacco and alcohol consumption decreased and almost 20% of the patients died.

Table 1.

Patient characteristics at initial assessment (N=1,068) and after 1 year of follow-up (N=1002).

  MeanStandard deviation
  Initial  One Year  Initial  One year 
Age  83.6  84.6  6.5  6.5 
Days in the program  160.8  487.3  147.4  193.2 
Subjective health
Physical (PCS-12)  30.9  30.7  7.7  7.7 
Mental (MCS-12)  38.9  38.8  12.3  12.3 
  Initial  One year  Initial  One year 
Women  710  659  66.5  66.2 
173  136  16.2  16 
268  207  25.1  24.3 
2 or more  622  508  58.7  59.7 
Dependency level
Total dependence  113  118  10.6  13.7 
(Barthel index)
Severe dependence  73  77  6.8  8.9 
Moderate dependence  197  144  18.5  6.7 
Low dependence  616  480  57.7  55.7 
Autonomous  68  43  6.4 
Cognitive status
Normal  566  397  53.1  48.8 
(Pfeiffer scale)
Low deterioration  194  148  18.2  18.2 
Moderate deterioration  164  120  15.4  14.7 
Serious deterioration  142  149  13.3  18.3 
Ulcer risk
High  49  58  4.6  6.8 
(Braden scale)
Moderate  86  72  8.1  8.4 
Low  922  724  87.3  84.8 
No presence  924  794  86.5  86.4 
Social Risk
No social risk  534  400  50.7  48.8 
(Gijon scale)
Social Risk  391  314  37.1  38.3 
Social problems  128  105  12.2  12.8 
Toxic habits
Non-smoker  1034  891  96.8  97.1 
Abstains from alcohol  977  858  91.5  93.8 
Program discharge
Death at home      83  27 
Death at hospital      112  36.5 
Definitive admission to a nursing home      49  16 
Change of address      28  9.1 
Other      35  11.4 

Cases with missing values were not included in the analysis.

PCS-12: Physical Component Summary of the 12-item Short Form Health Survey; MCS-12: Mental Component Summary of the 12-item Short Form Health Survey.

Table 2 shows carer characteristics at the initial assessment and 1 year later. Table 3 shows the use of health and social services by the patients in the study during the 1-year follow-up. The number of women acting as informal carers increased, as did perceived carer burden and formal home care.

Table 2.

Carer characteristics at initial assessment (N=1068) and after 1 year of follow-up (N=1002).

  MeanStandard deviation
  Initial  One year  Initial  One year 
Carer's age  61.8  61.9  13.9  14 
Zarit score (Informal carer)  50.7  51.96  16.5  17.2 
Help at home (hours/week)  47.9  20  58.7  45 
  Initial  One year  Initial  One year 
With informal carer  879  739  82.3  82.5 
With home help  401  360  37.5  39.7 
Informal carer women  673  595  63.0  78.3 
Level of carer overload (Zarit score)
No carer overload  378  277  43.7  42.1 
Low overload  186  128  21.5  19.5 
Heavy overload  301  253  34.8  38.4 

Cases with missing values were not included in the analysis.

Table 3.

Health and social services use (initial and at 1 year of follow-up) (N=1068 and N=1002).

  Mean  Standard deviation 
  One year  One year 
Home health visit intensity per patient
Number of visits of   
Social worker  0.5  1.4 
Doctor-in-charge  3.3  4.2 
Other doctor  0.9  2.8 
Nurse-in-charge  7.2  10.4 
Other nurse  1.4  5.2 
Doctors (on the whole)  4.2  5.4 
Nurses (on the whole)  8.7  13.1 
Health services use by patient
Number of days in nursing homes or long stay centers  4.4  22.6 
Hospital admissions  0.5  1.3 
ER visits  0.8  1.4 
  Initial  One year  Initial  One year 
Visits to other health services in the previous year
Number of visits of:         
PADES (palliative services)  31  40  2.9  4.3 
061 (ER ambulance services)  146  206  13.7  22.5 
Private health services  76  78  7.1  8.5 
Hospital at home service  20  0.4  2.2 
ER visits at home  121  115  11.3  12.4 
Day hospital  22  24  2.1  2.6 
Home rehabilitation  103  78  9.6  8.5 
Social services visits in the previous year
Help at home (private)  401  360  37.5  39.7 
Telephone assistance  88  134  8.2  14.9 
Food delivery services  10  11  0.9  1.2 
Volunteers  14  22  1.3  2.4 
Day centers  15  15  1.4  1.7 

Cases with missing values were not included in the analysis.

ER: emergency room.

Table 4 displays the results of the bivariate analysis, showing the relationship between the patients’ characteristics at the initial assessment and the nursing workload in the following year. The results of the multivariate analysis are shown in Table 5. Patients with ulcers had a four-fold higher risk of receiving nursing home visits the year after their inclusion in the program. The probability of receiving more nursing visits the following year increased by 40% in men, 65% in patients dependent for daily activities, 20% in those with social problems, and 65% in those who received emergency home visits prior to the initial assessment. In contrast, patients with major cognitive impairment had a lower probability of receiving nursing visits at home.

Table 4.

Initial patient characteristics associated with nursing visits in the subsequent year: bivariate analysis.

Variables  IRR  p >|z| (95%CI) 
Men  1.41  0.000 (1.23-1.60) 
Age <84   
Age > 84  0.85  0.017 (0.75-0.97) 
Pfeiffer normal-light   
Pfeifer moderate-important  1.25  0.002 (1.085-1.44) 
Gijon without risk   
Gijon with risk  1.16  0.020 (1.02-1.32) 
Braden high risk   
Braden moderate risk  0.50  0.000 (0.34-0.73) 
Braden low risk  0.39  0.000 (0.29-0.53) 
Non-smokers  1.58  0.022 (1.07-2.35) 
Hospital admissions  1.17  0.002 (1.06-1.29) 
ER visits  1.12  0.001 (1.05-1.19) 
Private healthcare   
No private healthcare  1.34  0.023 (1.04-1.72) 
No emergency home care visits   
Emergency home care visits  1.95  0.000 (1.61-2.37) 
No ulcers   
Ulcers  3.36  0.000 (2.29-4.94) 
Barthel normal   
Barthel dependent  2.00  0.000 (1.70-2.36) 
No food home delivery   
Food home delivery  0.51  0.034 (0.27-0.95) 
SF 12 Physical component  0.986  0.006 (0.977-0.996) 
Low comorbidity (Charlson)   
High comorbidity (2 or more)  1.21  0.004 (1.06-1.37) 
No carer burden (Zarit test)   
High carer burden  1.14  0.086 (0.98-1.32) 

IRR: incidence relative risk; 95%CI: 95% confidence interval of the IRR; SF12: 12-item Short Form Health Survey; ER: emergency room.

Cases with missing values are not included in the analysis.

Table 5.

Initial patient characteristics associated with nursing visits in the subsequent year. Multivariate analysis: negative binomial model (N=890).

Variables  IRR  p >|z| (95%CI) 
Men  1.42  0.000 (1.20-1.67) 
Pfeiffer normal-light   
Pfeiffer moderate-important  0.78  0.032 (0.63-0.98) 
Gijon without risk   
Gijon with risk  1.17  0.043 (1.00-1.37) 
No emergency home care visits   
Emergency home care visits  1.65  0.000 (1.31-2.07) 
No ulcers   
Ulcers  4.03  0.000 (2.27- 7.14) 
Not dependent for daily activities   
Dependent for daily activities (Barthel index)  1.65  0.000 (1.29-2.13) 

IRR: incidence relative risk; 95%CI: 95% confidence interval of the IRR.

Cases with missing values are not included in the analysis.


Home care patients in Catalonia receive an average of nine nurse visits per year with high variability among patients. The cohort assessment showed that the number of visits can be predicted by the patient characteristics identified at the initial assessment. The risk of receiving more nursing visits increased particularly in patients with decubitus ulcers, men, those dependent for daily activities, patients with social problems and those who received emergency visits at home prior to the initial assessment. In contrast, people with major cognitive impairment had a lower probability of receiving home visits from nurses.

The absence of standardized procedures for home care nursing in Catalonia favors variability and implies that current practices are more due to patient and environment characteristics than to a standardized intervention program with different healthcare providers. The research methodology does not allow us to see the sample as representative of the home care provided in Catalonia because the researchers joined the study voluntarily and were not randomly selected. However, the large sample size, the diversity of providers, the even geographical distribution of the primary healthcare teams and the quality of the data collected make this study the best available description of the home care provided in Catalonia. Although the number of visits cannot be an accurate measurement of nursing professionals’ performance, its universality and simplicity make it a good indicator of nursing workload. This indicator does not accurately reflect variations in consultation length due to the different procedures carried out, but clearly measures the number of patients that a nurse can care for per day. In home care, a high percentage of working time is spent travelling, particularly in rural areas. Our results may not predict the precise workload needed for a single patient but can help us to plan the human resources needed to cover a defined population.

The presence of decubitus ulcers is the variable that most strongly predicts the number of home care nursing visits in the subsequent year. Decubitus ulcers are related to deterioration in health and are consequently associated with more clinical care19,21. In our study, the risk of receiving nursing visits in the following year was four times greater in patients with decubitus ulcers at the initial assessment than in those without. The incidence of decubitus ulcers in bedridden patients is a clear indicator of the quality of nursing care, although the prevalence of ulcers in home care patients predicts the nursing workload22.

As other authors have found, male patients receive more home care nursing visits23. Although gender inequalities in access to healthcare services have been identified in Catalonia24, the additional activity observed in the study might be explained by the higher morbidity of the elderly male population25,26 and informal carer demand. In our sample, men were less healthy than women, even though on average they were younger. Male patients also benefitted from more informal carers than women, with a higher proportion of the carers feeling overburdened.

Dependency for daily living activities is an understandable predictor of home care nursing workload, also identified by other authors27,28, while dependency for instrumental living activities also implies more home care nursing8. Our dependent patients also had the poorest health.

In our study, higher-educated and affluent populations did not receive more home care services, as has been described in other environments8–10. On the contrary, in Catalonia social factors do not make access to home care nursing more difficult: populations with higher social risk receive more services.

Emergency care visits are an indicator of patient complexity used to identify over-users of hospital services21. In our study, patients who used out-of-hours home care services also had an increased risk of more nursing home care visits. This group of patients also benefitted from more informal carers. Despite their higher level of dependency, the elevated use of home services by this group might be explained by the advocacy role of their informal caregivers, as may be the case with male patients. Certain population groups are known to over-use health care services, even though they need them less29,30.

Multivariate analysis showed that the increased nursing activity in patients with abnormal Pfeiffer scale scores found in the bivariate analysis was not due to cognitive impairment but to other factors, such as the presence of decubitus ulcers. One explanation for this finding may be that patients with cognitive impairment benefit more from social and family support than from nursing care. Other authors also found that cognitive impairment was not related to more nursing visits31, except in patients living alone32.

The results of this study suggest that nursing care in Catalonia is demand-led33. Activity is not only explained by variables related to health needs, such as decubitus ulcers or the degree of dependency, but is also associated with variables linked to demand, such as the availability of an informal caregiver in the case of male patients or in the group using out-of-hours services. In line with this argument, those that seek fewer healthcare services, such as smokers or patients with a high level of cognitive impairment, receive less nursing home care. For the same reason, people living alone do not appear to be high consumers of home care services10,32. The same situation is found in countries with preventive home care programs with special follow-up plans for this group of patients.

A set of patient characteristics described by other authors did not appear to be significant in our multivariate analysis, such as age1,9,10, hospital or nursing home admissions21, low levels of self-perceived health8, pain34, or the number of persons living in the same household7. Some of these characteristics, such as low levels of self-perceived health, were identified in the bivariate analysis, but became neutralized in the multivariate analysis because of their close relationship and the higher power of the characteristics finally found to be significant.

Our results show that decubitus ulcers were the patient characteristic that best predicted nursing workload in home care. Thus efforts should focus on prevention of these ulcers through interventions that include appropriate support surfaces such as special mattresses, repositioning at least every 4h, nutritional status, moisturizing and surveillance of at-risk skin sites. Most of these interventions can be achieved and improved in a home care environment if health education programs are offered to families. If home care services, which are currently entirely demand-oriented, are redirected to a more preventive approach, many decubitus ulcers might be avoided and consequently nursing workload would be reduced. Because ulcers require many nursing visits, reorientation toward prevention might benefit patients’ health and reduce hospital admissions35. The inclusion of special mattresses in the list of orthopedic devices covered by the National Health Service and the patient care education provided by nurses to families are measures that could be both cost-effective and beneficial for the health of the patients and their carers.

Author contributions

J. Gené, A. Hidalgo and J.C. Contel designed the study. All the Research Team HC>65 collected the data, coordinated by A. Borràs. A. Borràs and M. Piñeiro analyzed the data. A. Borràs and J. Gené drafted the manuscript. All the authors contributed ideas, interpreted the findings and checked the first manuscript. All the authors approved the final version of the manuscript.


This research project was financed by a grant from the Catalan Agency for Health Technology Assessment and Research (CAHTA) in 2004. The project was also partially financed by a research grant from the Fundación MAPFRE.

Conflict of interest



Research Team HC>65 (Appendix 1). The full list of participants has been published elsewhere: Gené J, et al. Los problemas de salud también explican la utilización de servicios sociales en atención domiciliaria. Aten Primaria. 2009;41:91-101.

L. Ting Ting, M.E. Mills.
Analysis of patient profile in predicting home care resource utilization and outcomes.
J Nurs Adm., 30 (2000), pp. 67-75
Grupo ATDOM de la CAMFYC.
Aproximación a la atención domiciliaria. ¿Cómo trabaja la sanidad pública catalana la atención domiciliaria?.
Aten Primaria., 31 (2003), pp. 473-479
A. Stuck, M. Egger, A. Hammer, et al.
Home visits to prevent nursing home admission and functional decline in elderly people: systematic review and meta-regression analysis.
JAMA., 287 (2002), pp. 1022-1028
G. Byrne, A.M. Brady, C. Griffith, et al.
The community client need classification system - a dependency system for community nurses.
J Nursing Manag., 14 (2006), pp. 437-446
K. Spence, W. Tarnow-Mordi, G. Duncan, et al.
Measuring nursing workload in neonatal intensive care.
J Nursing Manag., 14 (2006), pp. 227-234
K.D. Marek.
Nursing diagnoses and home care nursing utilization.
Public Health Nurs., 13 (1996), pp. 195-200
J.L. Helberg.
Use of home care nursing resources by the elderly.
Public Health Nurs., 11 (1994), pp. 104-112
S. Crocker Houde.
Predictors of elder's and family caregivers’ use of formal home services.
Research in Nursing & Health., 21 (1998), pp. 533-543
C.O. Sullivan, R.Z. Omar, C.B. Forrest, et al.
Adjusting for case mix and social class in examining variation in home visits between practices.
Fam Pract., 21 (2004), pp. 355-363
H. Stoddart, E. Whitley, I. Harvey, et al.
What determines the use of home care services by elderly people?.
Health and Social Care in the Community., 10 (2002), pp. 348-360
J. Gené, A. Hidalgo, J.C. Contel, et al.
Seguimiento de una cohorte de atención domiciliaria.
Aten Primaria., 38 (2006), pp. 47-50
J. Librero, S. Peiró, R. Ordiñana.
Chronic comorbidity and outcomes of hospital care: length of stay, mortality, and readmission at 30 and 365 days.
J Clin Epidemiol., 52 (1999), pp. 171-179
M. Buzziin, R. Secundini, A. Gazzotti, et al.
Validación del Índice de Barthel.
Boletín del Departamento de Docencia e Investigación IREP., 6 (2002), pp. 9-12
J. Martínez de la Iglesia, R. Dueñas-Herrero, M.C. Onís-Vilches, et al.
Adaptación y validación al castellano del cuestionario de Pfeiffer (SPMSQ) para detectar la existencia de deterioro cognitivo en personas mayores de 65 años.
Med Clin (Barc)., 117 (2001), pp. 129-134
B.J. Braden, N. Bergstrom.
Clinical utility of the Braden scale for predicting pressure score risk.
Decubitus., 2 (1989), pp. 44-46
G. Vilagut, J.M. Valderas, M. Ferrer, et al.
Interpretación de los cuestioanrios SF-36 y SF-12 en España: componente físico y mental.
Med Clin (Barc)., 130 (2008), pp. 726-735
M.T. Alarcón, J.L. González-Montalvo.
La escala sociofamiliar de Gijón, instrumento útil en el hospital general.
Rev Esp Geriatr Gerontol., 33 (1998), pp. 178-180
A. Requeiro Martínez, A. Pérez-Vázquez, S. Gómara Villabona, et al.
Escala Zarit reducida para la sobrecarga del cuidador en atención primaria.
Aten Primaria., 39 (2007), pp. 185-188
R.F. Oien, G. Ragnarson Tennvall.
Accurate diagnosis and effective treatment of leg ulcers reduce prevalence, care time and costs.
J Wound Care., 15 (2006), pp. 259-262
A. Navarro, F. Utzel, P. Puig, et al.
La distribución binomial negativa frente a la de Poisson en el análisis de fenómenos recurrentes.
Gac Sanit., 15 (2001), pp. 447-452
King's Fund. Combined predictive model: final report. London: King's Fund, 2006.
J.M. González, J.M. Blanco, E. Ayuso, et al.
Epidemiología de las úlceras por presión en un hospital de agudos.
Rev Calidad Asistencial., 18 (2003), pp. 173-177
A.M. Jette, S. Tennstedt, S. Crawford.
How does formal and informal community care affect nursing home use?.
J Gerontol B Psychol Sci Soc Sci., 50 (1995), pp. S4-S12
C. Borrell, M. García-Calvente, J.V. Marti-Bosca.
Public health from the perspective of gender and social class.
Gac Sanit., 18 (2004), pp. 2-6
J.M. Segura Noguera, N. Bastida Bastús, N. Martí Guadaño, et al.
The Raval Nord Study: descriptive analysis of survival rates during 10 years of home care.
Home Health Care Management & Practice., 19 (2007), pp. 118-125
P. Kemper.
The use of formal and informal home care by the disabled elderly.
Health Serv Res., 27 (1992), pp. 421-449
J. Logan, G. Spitze.
Informal support and the use of formal services by older Americans.
J Gerontol., 49 (1994), pp. S25-34
S. Ballard, R. McNamara.
Quantifying nursing needs in home health care.
Nurs Res., 32 (1983), pp. 236-241
J.T. Hart.
The inverse care law.
Lancet., 1 (1971), pp. 405-412
B.J. Hays, E.H. Willborn.
Characteristics of clients who receive home health aide service.
Public Health Nurs., 13 (1996), pp. 58-64
M. Roelands, H. Van Oyen, A. Depoorter, et al.
Are cognitive impairment and depressive mood associated with increased service utilisation in community-dwelling elderly people?.
Health Soc Care Community., 11 (2003), pp. 1-9
K. Larsson, M. Thorslund, Y. Forsell.
Dementia and depressive symptoms as predictors of home help utilization among the oldest old: population-based study in an urban area of Sweden.
Journal of Aging and Health., 16 (2004), pp. 641-668
J. Gené, A. Hidalgo, J.C. Contel, et al.
La demanda explica les càrregues d’infermeria a l’atenció domiciliaria catalana.
Butlletí CAMFIC., 25 (2007), pp. 27-35
S.C. Miller.
Hospice care in nursing homes: is site of care associated with visit volume?.
J Am Geriatr Soc., 52 (2004), pp. 1331-1336
M.G. Trisolini, C.P. Thomas, S.B. Cashman, et al.
Resource utilization in home health care: results of a prospective study.
Home Health Care Serv Q., 15 (1994), pp. 19-41
Copyright © 2010. SESPAS
Gaceta Sanitaria

Subscribe to our newsletter

Article options
es en

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?