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Perceived Quality of Life and Health of Hospitalized Children

2008, Child Indicators Research

Objective The purpose of the current study was to examine the impact of disease and hospitalization on children's quality of life. Method Three measures were administered to 105 participants ranging in age from 6 to 15 years, from public hospitals in Castilla y Leon (Spain). Data were collected throughout 9 months. Measures were the Survey on Subjective Perception of Hospitalization and Hospital (CPSH), the quality of life survey KINDL, and the health survey SF-36. Internal consistency coefficients were acceptable for most of scales and subscales. Results indicated that children experience a decrease in their quality of life, mainly in daily living activities and psychological well being; that emotional states impact their quality of life, and that hospitals need to make some changes to better meet the needs of hospitalized children.

Child Ind Res (2008) 1:198–209 DOI 10.1007/s12187-007-9004-0 Perceived Quality of Life and Health of Hospitalized Children Francisca González-Gil & Cristina Jenaro & Maria Gómez-Vela & Noelia Flores Accepted: 10 December 2007 / Published online: 25 December 2007 # Springer Science + Business Media B.V. 2007 Abstract Objective The purpose of the current study was to examine the impact of disease and hospitalization on children’s quality of life. Method Three measures were administered to 105 participants ranging in age from 6 to 15 years, from public hospitals in Castilla y Leon (Spain). Data were collected throughout 9 months. Measures were the Survey on Subjective Perception of Hospitalization and Hospital (CPSH), the quality of life survey KINDL, and the health survey SF-36. Internal consistency coefficients were acceptable for most of scales and subscales. Results indicated that children experience a decrease in their quality of life, mainly in daily living activities and psychological well being; that emotional states impact their quality of life, and that hospitals need to make some changes to better meet the needs of hospitalized children. Conclusions Interventions, at an organizational and individual level, may help improve the well-being of hospitalized children. Keywords Hospitalized children . Quality of life . Needs . Assessment . Health Several studies (Dougherty and Brown 1990; Fekkes et al. 2000; Palomo del Blanco 1995; Vernon et al. 1965) have assessed the consequences of disease and hospitalization on children, especially regarding their emotional well-being (Flórez and Valdés 1986). More common issues include anxiety or depression (Eiser 1990; Lizasoáin and Polaino-Lorente 1988; Polaino-Lorente and del Pozo 1991; Rodriguez and Boggs 1998) as well as low self-esteem (Kashani and Orvaschel 1990; Lizasoáin and Polaino-Lorente 1992, 1995; Ochoa and Polaino-Lorente 1999). F. González-Gil (*) : C. Jenaro : M. Gómez-Vela : N. Flores Institute on Community Integration, INICO, Facultad de Psicología, Universidad de Salamanca, Avda. de la Merced, 109-131, 37005 Salamanca, Spain e-mail: [email protected] Perceived Quality of Life and Health of Hospitalized Children 199 Hospitalization and disease produce a number of harmful long-term consequences (Burke et al. 1998; Zatzick et al. 2006). Therefore, it is important to find strategies to ameliorate these effects. Among them are the implementations of administrative and organizational changes in pediatric units, and individual and family interventions (Boone et al. 2004; Klinzing and Klinzing 1987; Patrick and Erickson 1988; Rodriguez and Boggs 1994), to reduce the impact of hospitalization on children’s quality of life (Ortigosa and Méndez 2000; Schipper et al. 1990; Walker 1992). Likewise, an increasing number of researchers and clinicians are focusing on measuring quality outcomes (Abbott and Gee 1998; Schalock 1996; Schalock and Verdugo 2002; Schuttinga 1995; Woodend et al. 1997). According to Brown et al. (1996), the concept of health is intimately related to the quality of life concept. Good health is a universal indicator of quality of life, but an overall good life is mainly a consequence of feeling healthier. The interest in the assessment of quality of life has impacted on the roles and responsibilities of decision makers regarding health care (Grégoir 1995; Read 1988; Schalock and Verdugo 2002). Schalock (1990, 1996) substantiates the relevance of the conceptualization and measurement of quality of life on two grounds; first, because this concept may help improve the whole society, and second, because it may allow the improvement of quality of human services. That requires measures to identify needs and perform quality of life appraisals of hospitalized children from a broader perspective, to include not only the absence of disease, but also their global physical, mental, and social well-being. Efforts have been made in this sense. For example, a number of studies have assessed the quality of life of children from a multidimensional perspective. Some of the most commonly employed measures are (Schalock and Verdugo 2002) the World Health Organization Quality of Life Assessment (WHOQOL-100; The WHOQOL Group 1993, 1994), the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36; Ware and Scherbourne 1992; Ware et al. 1993, 2000), the Nottingham Health Profile (NHP; Hunt and McEwen 1980), and the Sickness Impact Profile (SIP) (Bergner et al. 1981). Nevertheless, there is still a long way to go. There are not enough measures to assess children’s appraisal on hospitalization and health from a multidimensional perspective and regardless of their specific diseases (Bullinger and Ravens-Sieberer 1995; Casas 1992; Christie et al. 1993; Gill and Feinstein 1994; Moreno and Ximenez 1996; Cummins 1997; Schalock and Verdugo 2002). There are not enough intervention programs to meet the educational, affective, and the additional needs of hospitalized children (Hester 1989; PolainoLorente and Lizasoain 1992; Grau and Ortiz 2001). In addition, decisions concerning the children and their environments are typically taken without considering their opinions (Kiebert et al. 1994; Pass 1987; Woodgate and Kristjanson 1996). Considering these facts, the three aims of the current study are: (1) to increase the knowledge on appraisals of hospitalized children, (2) to determine the impact of this situation on their quality of life, and (3) to determine if pediatric units in general hospitals are prepared to meet the needs of hospitalized children. Two research questions and three hypotheses were stated: (1) what are the needs related to quality of life of hospitalized children, and (2) to what extent are general hospitals ready to meet these needs. We hypothesized that: (1) hospitalized children will experience 200 F. González-Gil, et al. low quality of life, (2) emotional states will significantly impact on their quality of life; and (3) general hospitals are not prepared to meet the needs of hospitalized children. 1 Method 1.1 Sample The sample was composed of 105 (79%) of 133 hospitalized children, ranging in ages from 6 to 15 years, from 8 of the 10 public hospitals in Castilla-Leon (Spain). The cutoff point regarding the age of participants was established after a previous pilot study. Those children whose health problems did not allow us to interview them, as well as children who, at the time of the interview, were not accompanied by a legal representative (i.e. parent, tutor), or whose parents or themselves refused to participate were included in the study. Regarding gender, 56.2% were male, and 43.8% were female. The average hospital stay was 8.3 days, with 23.8% of participants being hospitalized for two days, 21.90% for 3 days, and 19.2% from 10 up to 73 days. The most common diagnoses for their last admission were (Table 1) digestive disorders (20%) or orthopedic injuries (20%). Concerning comorbility, most hospitalized children (72.38%) do not have concurrent diagnoses. Of those children with additional disorders, an important percentage is related to digestive disorders (24.14%), or neurological disorders (24.14%). Reasons for previous admissions relate to hematological disorders (14.58%), followed by otorhinolaryngologic disorders (13.89%), neurological disorders (13.19%), and respiratory disorders (12.50%). Table 1 Participants data on current diagnosis Current diagnosis Number Percent Neurological disorders (cephalalgia, seizures...) Digestive disorders (abdominal pain, gastroenteritis, intestinal problems) Hematological disorders (lymphomas, tumors, medullary aplasia, ...) Orthopedic injuries (fractures, traumatisms, ...) Urological and renal disorders Appendectomy Endocrinologic disorders (hormonal studies, diabetes, ...) Respiratory disorders (asthma, pneumonia, bronchitis, quistic fibrosis, ...) Otorhinolaryngologic disorders Dermatological disorders Circulatory problems Psychological disorders (depression) Intoxication Ophthalmologic problems Non available Total 12 21 8 21 9 9 3 6 6 2 2 1 3 1 1 105 11.43 20.00 7.62 20.00 8.57 8.57 2.86 5.71 5.71 1.90 1.90 0.95 2.86 0.95 0.95 100.00 Perceived Quality of Life and Health of Hospitalized Children 201 1.2 Procedure Data were collected by individual interviews with prior written informed consent from their parents. Three measures were administered during a single interview: first, one on general issues about hospitalization; second, one on quality of life, and the third one on health. The 10 general hospitals in Castilla-Leon were contacted, and eight agreed to participate. In Castilla-Leon there are no children’s hospitals, so medical care for children is provided in the pediatric units of general hospitals. Data were collected after a pilot study in which the cutoff point regarding the age of participants was established. The 105 interviews required from three to five visits to each of the hospitals over a period of nine months. Each interview lasted approximately one hour and the interviewer administered the three. Interviews were supplemented with data from medical records, with confidentiality and anonymity being guaranteed during the whole process. 1.3 Measures For the current research, three measures were used. First, the Survey on Subjective Perception of Hospitalization and Hospital (CPSH; González-Gil 2002), a measure specifically developed for this research. It is composed of five sections: the first section includes general questions regarding hospitalization and diagnosis; the second section assesses the children’s knowledge of their hospitalization and their feelings about it; the third section assess activities undertaken during hospitalization; the fourth section asks children about their opinion toward the hospital; the fifth section asks about feelings during hospitalization. The measure was developed with help from experts whom rated the relevance of each of the items. Secondly, a translation and adapted version of the KINDL (Bullinger and RavensSieberer 1995; revised by Ravens-Sieberer and Bullinger 1997; Ravens-Sieberer and Bullinger 1998a, b) was used. This measure is composed of 40 items to be rated on a five-point Likert type scale to assess physical and psychological well-being, daily living activities, and social relationships of hospitalized children. This measure has been used in previous research in Spanish (Sabeh 2000), and it has proved its adequacy. For the current research, some changes were made to the KINDL survey (González-Gil 2002): (a) items were written in present tense; (b) some items were changed slightly; for example, “I enjoy the classes at the hospital” instead of “I enjoy the classes”; (c) wording clarification for some of the items. Six expert raters guaranteed that these changes would not affect the survey properties. Inter-rater agreements were calculated regarding valence and category of the items, and agreement levels (alpha=0.99 and alpha=0.98 respectively), supported the adequacy of the changes. In addition, internal consistency tests were performed for the scale and each of the factors. Coefficients ranged from alpha=0.40 and 0.88 for the different factors and the total scale (see Table 2). Thus, satisfactory levels have been obtained, with the exception of data for factor 4. The third measure, a translated and adapted version of the SF-36 (Ware and Sherbourne 1992; McHorney et al. 1993) was used. More specifically, items were adapted to be used with children. It is comprised of 36 items grouped into 14 types 202 F. González-Gil, et al. Table 2 KINDL reliability analysis Alpha F1: Physical well-being F2: Psychological well-being F3: Daily living activities F4: Social Relationships Total 0.73 0.76 0.71 0.40 0.88 of questions regarding health. The measure includes two sections: first, appraisals regarding general health before hospitalization, and second, appraisals regarding health during the 4 weeks prior to hospital admission. A factor analysis with principal component method and Varimax rotation was performed. The factors were similar to those obtained in the original version resulting in eight factors that together explain 62% of total variance (Table 3). This result supports the construct validity of the adapted measure. Factor 1 examines objective physical limitations in performing daily living activities; factor 2 relates to subjective perception on health; factor 3 assesses health related interferences on normal performance in the four weeks prior to admission; factor 4 looks at limitations because of feelings; factor 5 refers to experienced pain; factor 6 relates to depressive and lack of well-being feelings; factor 7 relates to health interferences on moderate activities and factor 8 assesses subjective perception on overall health. Reliability analyses were performed, with acceptable alpha levels for all factors, except factor 8; this may be due to the small number of items in that factor (Table 4). Pearson correlations were performed among the factors, and significant correlations (alpha=0.05) were found for most of the factors. Second-order factor analysis was then performed using the same procedure as before. First order factors were grouped into a two-factors solution that together explains 55.9% of total variance. The first factor grouped first-order factors number 2, 3, 4, 5, 6 and 8; all of them related to personal appraisal of health and so we have named it “Individual appraisal of health and its impact”. The second factor grouped first-order factors number 1 and 7 that relate to objective health state so we have named it “Objective assessment of health and its impact”. Internal consistency coefficients were alpha=0.72 and 0.63, respectively (Table 4). In sum, the measure assesses two key health issues: objective and subjective, which agrees with the Table 3 Factor composition of the SF-36 (eigenvalues and relative and accumulated percentages of variance) Factor Eigenvalues % Variance % Accumulated variance F1: F2: F3: F4: F5: F6: F7: F8: 8.57644 3.30806 2.34217 2.11896 1.67493 1.51497 1.44180 1.35501 23.8 9.2 6.5 5.9 4.7 4.2 4.0 3.8 23.8 33.0 39.5 45.4 50.1 54.3 58.3 62.0 Objective physical limitations Subjective perception on health Interferences on normal performance Interferences of feelings Experienced pain Depressive feelings Health interferences on Activities Subjective perception on overall health Perceived Quality of Life and Health of Hospitalized Children Table 4 SF-36 reliability analysis 203 Alpha F1: Objective physical limitations F2: Subjective perception on health F3: Interferences on normal performance F4: Interferences of feelings F5: Experienced pain F6: Depressive feelings F7: Health interferences on activities F8: Subjective perception on overall health FI: Individual appraisal of health and its impact FII: Objective assessment of health and its impact Total 0.82 0.79 0.73 0.70 0.89 0.62 0.57 0.31 0.72 0.63 0.89 quality of life framework stated in this paper and according to the existing literature (Schalock et al. 2002; Verdugo et al. 2005); quality of life is both an objective and subjective construct, with the subjective appraisal being the key indicator of perceived life well-being. 1.4 Data Analyses All analyses were performed with the SPSS for Windows (Release 11.5.1)-statistical package (SPSS Inc., Chicago, IL, USA). Routine descriptive analyses were completed, as well as Pearson correlations. In addition, univariate and multivariate analyses were used to test for group differences on selected variables. Group differences were examined with Multianalyses of variance. Post-hoc univariate analyses were made if Wilks’s Lambda was statistically significant. Multiple comparisons were made using Scheffe and Duncan procedures. 2 Results Mean and standard deviation scores were calculated for each of the items and factors of the KINDL. Means ranged from 1.50 (item 34: “Other kids from the hospital come to see and play with me”) to 4.96 (item 4: “My parents are good to me”). All factors showed similar scores, with factor 4, social relationships, being the highest rated (mean=4.26) and factor 3, Daily living activities, being the lowest (mean= 3.70). Next, data from the Survey on Subjective Perception of Hospitalization and Hospital (CPSH; González-Gil 2002) were analyzed. Children were asked to identify likes and dislikes, as well as those issues that they would like to be different, or that they have missed at the Hospital. Individual answers were grouped into broader categories (Table 5). Five elements were analyzed: (1) rooms, (2) pediatric unit, (3) consulting rooms, (4) Nurses and medical assistants, and (5) doctors. Regarding rooms, physical conditions obtained a higher number of answers that denote satisfaction. On the contrary, medical equipment related to dislikes of the children. Regarding the pediatric unit, there was a predominance of factors that denoted dissatisfaction, especially with medical procedures and equipment. Regarding 204 F. González-Gil, et al. Table 5 Frequency of satisfactory and dissatisfactory sources Satisfaction sources Number Percent Dissatisfaction sources Number Percent Rooms Physical conditions 111 94.07 7 5.93 Medical equipment Physical conditions Lying in bed Organizational factors: Schedules 18 78 5 3 16.98 75.47 4.72 2.83 70 78.65 Non-medical equipment and instruments Medical equipment and procedures Personnel: doctors and nurses Other patients (sick kids, children who cry, ...) 22 40 18 32.73 5 5 9.09 9.09 8.99 Rules (not being allowed to go out) 5 9.09 31 46.97 Procedures and medical instruments 63 74.12 30 45.18 14 16.47 5 7.58 Furniture and non-medical equipment Organizational factors:(sharing rooms with adults, seeing other adult patients ...) 8 9.41 100 11 12 81.3 8.94 9.76 Temperament Job-related procedures Physical looking 33 46 6 38.82 54.12 7.06 74 24 4 72.55 23.53 3.92 Temperament Job-related procedures Physical appearance 62 21 3 72.09 24.42 3.49 Organizational factors: (having roommates, being alone) Pediatric units Non-medical equipment and instruments Personnel: doctors and nurses 3 8 Other patients (being with other children, seeing younger children) Other 8 Consulting rooms Furniture and medical equipment Furniture and non-medical equipment Other Nurses Temperament Job-related procedures Physical looking Doctors Temperament Job-related procedures Other 3.37 8.99 consulting rooms, answers denoted discomfort rather than comfort. In addition, and congruent with previous results, procedures and medical equipments are the highest source of dislikes. Concerning human resources, and more specifically regarding nurses, there is a predominance of answers that denote satisfaction, especially with their behavior with hospitalized children. On the contrary, job related issues (give them injections, cures), are the main sources of dissatisfaction. Regarding doctors, an important percentage of answers (72.09%) that denote dissatisfaction are related to their behavior with the children. Lastly, regarding suggestions for improvement, the main results are: 66 children (62.86%) mentioned the need for painting walls and rooms with “happier” colors, and 59 children (56.19%) mentioned the need for having games – chess, cards, puzzles, toys – in the rooms. Regarding pediatric units, 41 children (56.19%) Perceived Quality of Life and Health of Hospitalized Children 205 suggested the inclusion of ornaments such as pictures, drawings, and posters, and 34 children (32.38%) suggested painting the walls and doors colorfully. Concerning consulting rooms, 32 children (30.48%) suggested moving out of view all equipment, machines, or medical instruments. Regarding nurses, 34 children (32.38%) suggested they should be “kinder” and “nicer”, and regarding doctors, 78 children (74.28%) recommend they improve their character. In order to test the impact of emotional states on children’s quality of life, three set of multiple analyses of variance were made by grouping participants into two groups; feeling/not feeling worried, nervousness, and scared, according to answers from the fifth section of the CPSH. Dependent variables were the four factors of the KINDL. ANOVA tests were then performed if MANOVA were significant. Thus, regarding being or not being worried, multivariate analyses were significant (Wilks’ Lambda=0.83126, F (4,99)=5.02418, p<0.01). Univariate analyses showed that those who reported feeling concern obtained significantly lower scores on daily living activities, physical well-being, and overall quality of life (see Table 6). Concerning feeling/not feeling nervous, multivariate analyses were significant (Wilks’ Lambda=0.89465, F (4,99)=2.91456, p<0.05). Univariate analyses showed that those who feel nervous obtained lower scores on psychological well-being and Table 6 Descriptive statistics and significance of differences (ANOVA) between groups, based on being or not being concerned, nervous, or scared Concern No Nervous Yes Physical well-being F Mean 3.89 3.57 SD 0.66 0.71 N 53 51 Psychological well-being F Mean 3.90 3.55 SD 0.45 0.54 N 53 51 Daily living activities F Mean 3.90 3.52 SD 0.52 0.45 N 53 51 Social relationships F Mean 4.26 4.26 SD 0.28 0.30 N 53 51 Total F Mean 3.99 3.72 SD 0.34 0.38 N 53 51 *Significant with p<.05 **Significant with p<.01 Scared No Yes 3.92 0.58 29 3.66 0.73 75 3.96 0.41 29 3.63 0.54 75 3.80 0.59 29 3.68 0.49 75 4.34 0.27 29 4.22 0.29 75 4.01 0.32 29 3.80 0.39 75 5.77* Yes 3.87 0.70 46 3.63 0.69 58 3.90 0.42 46 3.59 0.56 58 3.77 0.53 46 3.67 0.51 58 4.36 0.23 46 4.18 0.31 58 3.98 0.36 46 3.76 0.38 58 2.85 13.34** 3.06 8.82** 15.20** 10.11** 1.16 0.00 13,92** 4.26 0.29 104 No 1.06 3.53 10.97** 6.45* 8.37* 206 F. González-Gil, et al. on overall quality of life. Likewise, concerning differences based on feeling or not feeling scared, multivariate analyses confirmed the hypothesis (Wilks’ Lambda= 0.82737, F (4,99)=5.16422, p<0.01). Univariate analyses showed that those who feel scared scored lower on psychological well-being, social relationships, and overall quality of life. These results show the close relationship between emotional states and perceived quality of life. 3 Discussion This empirical study emphasizes the relevance of knowing the needs related to wellbeing and quality of life of hospitalized children in order to better answer their needs through person centered planning. This approach bases the organization of the hospitalization and the functioning of pediatric units on needs, interests, and opinions of the children and their families (González-Gil 2002). The data obtained agree with previous research (Casanova et al. 1998; Docherty and Sandelowski 1999; Rodriguez and Boggs 1998). The needs of hospitalized children relating to daily living activities and emotional well-being have also been found in different studies (Kain et al. 1996; Ortigosa and Méndez 1998; Méndez and Ortigosa 2000). As predicted in hypothesis 1, low scores on quality of life have been found, which agrees with previous research (González-Simancas and Polaino-Lorente 1990; Lizasoáin and Polaino-Lorente 1988, 1992). In accord with hypothesis 2, hospitalized children experience emotional states, such us nervousness, worry or fear that impact on their overall quality of life, as well as on specific domains such as emotional well-being, daily living activities, or social relationships. These results have also been stressed by Abbott and Gee (1998), Patrick and Erickson (1988) and Rodriguez and Boggs (1998). Results also point out the need for organizational and individual – i.e. patient – interventions, to promote well-being. Finally, some words on the shortcomings of the current study; first, randomized samples were not available; second, two of the nine regions from Castilla y Leon did not participate in the study; third, only public hospitals from urban regions have participated; and fourth, some of the targeted population could not be interviewed. Further studies may help reduce some of these shortcomings. For example, studies might focus on other appraisals; those of managers, parents, and other key stakeholders, so they can be compared to the children perceptions. These and other initiatives may help understand the sources of satisfaction and dissatisfaction and so, may help increase quality of life of hospitalized children. References Abbott, J., & Gee, L. (1998). Contemporary psychosocial issues in cystic fibrosis: Treatment adherence and quality of life. Disability and Rehabilitation, 20(6/7), 262–271. Bergner, M., Bobbit, R. A., Carter, W. B., & Gilson, B. S. (1981). The sickness impact profile: Development and final review of a health status measure. Medical Care, 19, 787–805. Perceived Quality of Life and Health of Hospitalized Children 207 Boone, H. A., Freund, P. J., Barlow-Jane, H., Van-Ark, G., & Wilson, T. K. (2004). Community pathways: Hospital-based services that individualize supports for families and children. Young Exceptional Children, 7(2), 10–19. Brown, I., Renwick, R., & Nagler, M. (1996). The centrality of quality of life in health promotion and rehabilitation. In R. Renwick, I. Brown, & M. Nagler (Eds.) Quality of life in health promotion and rehabilitation (pp. 3–13). California: Sage. Bullinger, M., & Ravens-Sieberer, U. (1995). Health related quality of life assessment in children: A review of the literature. Revue Européenne de Psychologie Appliquée, 45(4), 245–254. Burke, S. O., Handley-Derry, M. H., Costello, E. A., Kauffmann, E., & Dillon, M. C. (1998). Stress-point intervention for parents of repeatedly hospitalized children with chronic conditions. Research in nursing and health, 20(6), 475–485. Casanova, C., Fraga, P., Manzano, A., Ortín, C., López, E., Sancho, N., et al. (1998). El cuidado de los niños en los hospitales de la comunidad Valenciana [The care of children in hospitals in Valencia]. Revista Española de Pediatría, 54(4), 328–335. Casas, F. (1992). Las representaciones sociales de las necesidades de niños y niñas y su calidad de vida [Social representations of boys and girls and their quality of life]. Anuario de Psicología, 52, 27–45. Christie, M. J., French, D., Soeden, A., & West, A. (1993). Development of child-centered disease-specific questionnaires for living with asthma. Psychosomatic Medicine, 55, 541–548. Cummins, R. A. (1997). Assessing quality of life. In R. I. Brown (Ed.) Quality of life for people with disabilities ((pp. 116–150)2nd ed.). Chentelham: Stanley Thornes. Docherty, S., & Sandelowski, M. (1999). Focus on qualitative methods: Interviewing children. Research in nursing and health, 22(2), 177–185. Dougherty, M., & Brown, R. (1990). The stress of childhood illness. In E. Arnold (Ed.), Childhood stress. New York: Wiley. Eiser, C. (1990). Chronic childhood disease. An introduction psychological theory and research. Cambridge: Cambridge University Press. Fekkes, M., Theunissen, N. C. M., Brugman, E., Veen, S., Verrips, E. G. H., Koopman, H. M., et al. (2000). Development and psychometric evaluation of the TAPQOL: A health-related quality of life instrument for 1–5-year-old children. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 9(8), 961–972. Flórez, J. A., & Valdés, C. A. (1986). L’anxiété de l’enfant dans les hôspitaux. Psychologie M’edicale, 18, 6–12. Gill, T. M., & Feinstein, A. R. (1994). A critical appraisal of the quality of life measurements. Journal of the American Medical Association, 272(8), 619–626. González-Gil, F. (2002). Calidad de Vida percibida por los niños hospitalizados de Castilla y León [Perceived quality of life of hospitalized children from Castilla and Leon]. Doctoral dissertation, Universidad de Salamanca, Salamanca. González-Simancas, J. L., & Polaino-Lorente, A. (1990). Pedagogía hospitalaria: Actividad Educativa en Ambientes Clínicos [Hospitalary pedagogy: Educational activity in clinic environments]. Madrid: Narcea. Grau, C., & Ortiz, C. (2001). La Pedagogía hospitalaria en el marco de una educación inclusiva [Hospitalary pedagogy from an inclusive framework]. Málaga: Aljibe. Grégoire, J. (1995). L’évaluation de la qualité de vie. Revue Européenne de Psychologie Appliquée, 45(4), 243–244. Hester, N. O. (1989). Comforting the child in pain. In S. G. Funk, E. M. Tornquist, M. T. Champagne, L. A. Coop, & R. A. Wiese (Eds.) Key aspects of comfort: Management of pain, fatigue, and nausea (pp. 290–298). New York: Springer. Hunt, S. M., & McEwen, J. (1980). The development of a subjective health indicator. Sociology of Health and Illness, 2, 231–246. Kain, Z. N., Mayes, L. C., O’Connor, T. Z., & Ciccheti, D. V. (1996). Preoperative anxiety in children. Archives of Pediatric and Adolescent Medicide, 150, 1238–1245. Kashani, J., & Orvaschel, H. (1990). A community study of anxiety in children and adolescents. American Journal of Psychiatry, 147, 313–318. Kiebert, G. M., Stiggelbout, A. M., Kievit, J., Leer, J. W. H., et al. (1994). Choices in oncology: Factors that influence patients’ treatment preference. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 3(3), 175–182. Klinzing, D. G., & Klinzing, D. R. (1987). The hospitalization of a child and family responses. Marriage and Family Review, 11(1–2), 119–134. 208 F. González-Gil, et al. Lizasoáin, O., & Polaino-Lorente, A. (1988). Evaluación de la modificación del autoconcepto infantil como consecuencia de la hospitalización [Assessment of changes on child self-concept as consequence of hospitalization]. Acta Pediátrica Española, 46(1), 13–19. Lizasoáin, O., & Polaino-Lorente, A. (1992). Efectos y manifestaciones psicopatológicas de la hospitalización infantil [Effects and psychopatological manifestations of children hospitalization]. Revista Española de Pediatría, 48(1), 52–60. Lizasoáin, O., & Polaino-Lorente, A. (1995). Reduction of anxiety in pediatric patients. Effects of a psychopedagogical intervention programme. Patient Education and Counseling, 25(1), 17–22. McHorney, C. A., Ware, J. E., & Raczek, A. E. (1993). The MOS 36-item shortform health survey (SF36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Medical Care, 31(3), 247–263. Méndez, F. X., & Ortigosa, J. M. (2000). Estrés por hospitalización [Stress of hospitalization]. In J. M. Ortigosa, & F. X. Méndez (Eds.) Preparación psicológica a la hospitalización infantil (pp. 31–50). Madrid: Biblioteca Nueva. Moreno, B., & Ximénez, C. (1996). Evaluación de la calidad de vida [Assessment of quality of life]. In G. Buela-Casal, V. E. Caballo, & J. C. Sierra (Eds.) Manual de evaluación en psicología clínica y de la salud (pp. 1045–1070). Madrid: Siglo XXI. Ochoa, B., & Polaino-Lorente, A. (1999). Un estudio acerca del estrés de los padres como consecuencia de la hospitalización de sus hijos [A study on parents’stress as consequence of their offsprings hospitalization]. Psicopatología, 19(1), 22–29. Ortigosa, J. M., & Méndez, F. X. (1998). Procedimientos de preparación psicológica a la cirugía en hospitales infantiles: Un estudio de ámbito nacional [Techniques of psychological preparation for children hospitalization: a national study]. Revista de Psicología de la Salud, 10, 79–96. Ortigosa, J. M., & Méndez, F. (2000). Hospitalización infantil. Repercusiones psicológicas [Children hospitalization: psychological consequences]. Madrid: Biblioteca Nueva. Palomo del Blanco, M. P. (1995). El niño hospitalizado. Características, evaluación y tratamiento [The hospitalized child: characteristics, assessment, and treatment]. Madrid: Pirámide. Pass, C. (1987). Qualitative research will enhance the care of children. Children’s Health Care, 15(4), 214–215. Patrick, D. L., & Erickson, P. (1988). Assessing health-related quality of life for clinical decision making. In R. S. Walker, & R. M. Rosser (Eds.) Quality of life: assessment and application (pp. 9–50). Great Britain: MTP. Polaino-Lorente, A., & Del Pozo, A. (1991). Modificación de la ansiedad-rasgo y la ansiedad-estado mediante un programa de intervención psicopedagógica en niños cancerosos hospitalizados [Modification of anxiety-trait and anxiety-state with a psychopedagocial intervention in hospitalized children with cancer]. Revista Complutense de Educación, 2(3), 419–429. Polaino-Lorente, A., & Lizasoáin, O. (1992). Efectos de un programa de intervención psicopedagógica sobre la modificación de las habilidades sociales en niños hospitalizados [Effects of a psychopedagocial intervention on social skills changes of hospitalized children]. Archivos de Pediatría, 43(5), 241–247. Ravens-Sieberer, U., & Bullinger, M. (1997). The German KINDL – Psychometric results in healthy and chronically ill children. 4. Jahrestagung der International Society for Quality of Life Research (ISOQOL). Quality of Life Research, 6, 437. Ravens-Sieberer, U., & Bullinger, M. (1998a). Assessing the health related quality of life in chronically ill children with the German KINDL: First psychometric and content-analytical results. Quality of Life Research, 4(7), 339–407. Ravens-Sieberer, U., & Bullinger, M. (1998b). News from the KINDL-Questionnaire. A new version for adolescents. Quality of Life Research, 7, 653. Read, J. L. (1988). The new era of quality of life assessment. In S. R. Walker, & R. M. Rosser (Eds.) Quality of life: Assessment and application (pp. 1–8). Great Britain: MTP. Rodriguez, C., & Boggs, S. (1994). Behavioral upset in medical patients revised: Evaluation of a parent report measure of distress for pediatric populations. Journal of Pediatric Psychology, 19(3), 319–324. Rodriguez, C., & Boggs, S. (1998). Assessment of behavioral distress and depression in a pediatric population. Children’s Health Care, 27(3), 157–170. Sabeh, E. (2000). Una aproximación inicial al estudio de la calidad de vida en la infancia: la perspectiva de los niños en España y Argentina [A pilot study of quality of life in children: appraisal from Spanish and Argentina Children]. Universidad de Salamanca. Proyecto de Investigación no publicado. Perceived Quality of Life and Health of Hospitalized Children 209 Schalock, R. L. (1990). Attempts to conceptualize and measure quality of life. In R. L. Schalock (Ed.) Quality of life: perspectives and issues (pp. 141–148). Washington, DC: American Association on Mental Retardation. Schalock, R. L. (1996). Reconsidering the conceptualization and measurement of quality of life. In R. L. Schalock (Ed.) Quality of life, vol. 1: Conceptualization and measurement (pp. 123–139). Washington, DC: American Association on Mental Retardation. Schalock, R. L., Brown, I., Brown, R., Cummins, R. A., Felce, D., Matikka, L., et al. (2002). Conceptualisation, measurement, and application of quality of life for persons with intellectual disabilities: Report on an international panel of experts. Mental Retardation, 40(6), 457–470. Schalock, R. L., & Verdugo, M. A. (2002). The concept of quality of life in human services: A handbook for human service practitioners. Washington, DC: American Association on Mental Retardation. Schipper, H., Clinch, J., & Powell, V. (1990). Definitions and conceptual issues. In B. Spilker (Ed.), Quality of life assessments in clinical trials. New York: Raven. Schuttinga, J. A. (1995). Quality of life from a federal regulatory perspective. In J. E. Dimsdale, & A. Bowm (Eds.) Quality of life in behavioral medicine research (pp. 31–42). New Jersey: Erlbaum. The WHOQOL Group (1993). Study protocol for the World Health Organization project to develop a quality of life assessment instrument (WHOQOL). Quality of Life Research, 2, 153–159. The WHOQOL Group, & Herrman, H. (1994). The development of the World Health Organization quality of life assessment instrument (WHOQOL). In J. Orley, & W. Kuyken (Eds.) Quality of life assessment in health care settings (pp. 41–57). Heidelberg: Springer. Verdugo, M. A., Schalock, R., Keith, K. D., & Stancliffe (2005). Quality of life and its measurement: Important principles and guidelines. Journal of Intellectual Disability Research, 49(10), 707–717. Vernon, D., Foley, J., Sipowicz, R., & Schulman, J. (1965). Psychological responses of children to hospitalisation and illness. Springfield, IL: Thomas. Walker, S. R. (1992). Quality of life measurement: An overview. Journal of the Royal Society of Health, 112, 265. Ware, J. E., & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF- 36). 1: Conceptual framework and item selection. Medical Care, 30(6), 473–481. Ware, J. E., Snow, K. K., Kosinski, B., & Gandek (1993). SF-36 health survey: Manual and interpretation guide. Lincoln, RI: QualityMetric. Ware, J. E., Snow, K. K., Kosinski, B., & Gandek (2000). SF-36 health survey: Manual and interpretation guide. Lincoln, RI: QualityMetric. Woodend, A. K., Nair, R. C., & Tang, S. L. (1997). Definition of life quality from a patient versus health care professional perspective. International Journal of Rehabilitation Research, 20, 71–80. Woodgate, R., & Kristjanson, L. J. (1996). “My hurts”: Hospitalized young children’s perceptions of acute pain. Qualitative Health Research, 6(2), 184–201. Zatzick, D. F., Grossman, D. C., Russo, J., Pynoos, R., Berliner, L., Jurkovich, G., et al. (2006). Predicting posttraumatic stress symptoms longitudinally in a representative sample of hospitalized injured adolescents. Journal of the American Academy of Child and Adolescent Psychiatry, 45(10), 1188– 1195.