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Transcultural adaptation and theoretical models of validation of the spanish version of the self-care of heart failure index version 6.2 (schfi v.6.2)

Juárez-Vela, R.; Rubio-Gracia, J.; Gea-Caballero, V.; de Viñaspre-Hernández, R.R.; Czapla, M.; Santolalla-Arnedo, I.; Burgos-Esteban, A.; Benavet-Cervera, J.V.; Durante, A.; Antonio-Oriola, R.; Vellone, E.

Abstract

Background: Heart failure (HF) is a major and growing public health problem worldwide. Across the world, heart failure is associated with high mortality, high hospitalization rates, and poor quality of life. Self-care is defined as a naturalistic decision-making process involving the choice of behaviors that maintain physiologic stability, the response to symptoms when they occur, and the ability to follow the treatment regimen and control symptoms. One instrument used to measure self-care is the Self Care of Heart Failure Index. Aim: The purpose of this study was to test the psychometric properties of the Spanish version of the Self Care of Heart Failure Index v.6.2 (SCHFI v.6.2). Methodology: Before testing its psychometric properties, the SCHFI v.6.2 was translated and adapted from its original English version into Spanish. Subsequently, we tested the instrument’s psychometric properties on a sample of 203 participants with HF. Descriptive statistics were used to analyze the sociodemographic and clinical variables, and to describe item responses. We tested the factorial validity of the SCHFI v.6.2 using confirmatory and exploratory factor analysis. Results: Confirmatory factor analysis (CFA) was performed using the our pre-existing models which resulted with poor fit indices. Thus, we performed exploratory factor analysis (EFA) on each of the SCHFI v.6.2 scales. Conclusion: The Spanish version of the SCHFI v.6.2. has good characteristics of factorial validity and can be used in clinical practice and research to measure self-care in patients with HF. Juárez-Vela, R.; Durante, A.; Antonio-Oriola, R.; Gea-Caballero, V.; Czapla, M.; Santolalla-Arnedo, I.; de Viñaspre-Hernández, R.R.; Burgos-Esteban, A.; Benavet-Cervera, J.V.; Rubio-Gracia, J.; Vellone, E.

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In e na ional Jou nal o En i onmen al Resea ch and Public Heal h A icle T anscul u al Adap a ion and Theo e ical Models o Valida ion o he Spanish Ve sion o he Sel -Ca e o Hea Failu e Index Ve sion 6.2 (SCHFI .6.2) Raúl Juá ez-Vela 1,2 , Angela Du an e 3, Rosa An onio-O iola 4,*, Vicen e Gea-Caballe o 5,6,* , Michał Czapla 7, I án San olalla-A nedo 1,2 , Regina Ruiz de Viñasp e-He nández 1,2, Amaya Bu gos-Es eban 1,2, JoséVicen e Bena e -Ce e a 8, Jo ge Rubio-G acia 9,10 and E cole Vellone 3   Ci a ion: Juá ez-Vela, R.; Du an e, A.; An onio-O iola, R.; Gea-Caballe o, V.; Czapla, M.; San olalla-A nedo, I.; Ruiz de Viñasp e-He nández, R.; Bu gos-Es eban, A.; Bena e -Ce e a, J.V.; Rubio-G acia, J.; e al. T anscul u al Adap a ion and Theo e ical Models o Valida ion o he Spanish Ve sion o he Sel -Ca e o Hea Failu e Index Ve sion 6.2 (SCHFI .6.2). In . J. En i on. Res. Public Heal h 2021,18, 569. h ps://doi.o g/10.3390/ ije ph18020569 Recei ed: 7 Decembe 2020 Accep ed: 8 Janua y 2021 Published: 12 Janua y 2021 Publishe ’s No e: MDPI s ays neu- al wi h ega d o ju isdic ional clai- ms in published maps and ins i u io- nal a ilia ions. Copy igh : © 2021 by he au ho s. Li- censee MDPI, Basel, Swi ze land. This a icle is an open access a icle dis ibu ed unde he e ms and con- di ions o he C ea i e Commons A - ibu ion (CC BY) license (h ps:// c ea i ecommons.o g/licenses/by/ 4.0/). 1Depa men o Nu sing, Uni e si y o La Rioja, 26006 Log oño, La Rioja, Spain; [email p o ec ed] (R.J.-V.); [email p o ec ed] (I.S.-A.); [email p o ec ed] (R.R.d.V.-H.); [email p o ec ed] (A.B.-E.) 2G oup o Resea ch in Sus ainabili y o he Heal h Sys em, Cen e o Biomedial Resea ch o La Rioja—CIBIR, 26006 Log oño, Spain 3Depa men o Biomedicine and P e en ion, Uni e si y o Rome To Ve ga a, 00133 Rome, I aly; [email p o ec ed] (A.D.); e [email p o ec ed] (E.V.) 4Hospi al Lluís Alcanys, Xa i a, 46800 Valencia, Spain 5Nu sing School La Fe, Adsc ip Cen e Uni e sidad de Valencia, 46026 Valencia, Spain 6Resea ch G oup GREIACC, Heal h Resea ch Ins i u e La Fe, 46026 Valencia, Spain 7Facul y o Heal h Sciences, W oclaw Medical Uni e si y, 50416 W oclaw, Poland; [email p o ec ed] 8Depa men o Heal h Sciences, VIU Valencia In e na ional Uni e si y, 46003 Valencia, Spain; [email p o ec ed] 9In e nal Medicine Se ice, Hospi al Clinico Lozano Blesa, 50009 Za agoza, Spain; jo ge [email p o ec ed] 10 Hea Failu e G oup, Resea ch Ins i u e o A agon IIS A agon; 50009 Za agoza, Spain *Co espondence: [email p o ec ed] (R.A.-O.); [email p o ec ed] (V.G.-C.) Abs ac : Backg ound: Hea ailu e (HF) is a majo and g owing public heal h p oblem wo ldwide. Ac oss he wo ld, hea ailu e is associa ed wi h high mo ali y, high hospi aliza ion a es, and poo quali y o li e. Sel -ca e is de ined as a na u alis ic decision-making p ocess in ol ing he choice o beha io s ha main ain physiologic s abili y, he esponse o symp oms when hey occu , and he abili y o ollow he ea men egimen and con ol symp oms. One ins umen used o measu e sel -ca e is he Sel Ca e o Hea Failu e Index. Aim: The pu pose o his s udy was o es he psychome ic p ope ies o he Spanish e sion o he Sel Ca e o Hea Failu e Index .6.2 (SCHFI .6.2). Me hodology: Be o e es ing i s psychome ic p ope ies, he SCHFI .6.2 was ansla ed and adap ed om i s o iginal English e sion in o Spanish. Subsequen ly, we es ed he ins umen ’s psychome ic p ope ies on a sample o 203 pa icipan s wi h HF. Desc ip i e s a is ics we e used o analyze he sociodemog aphic and clinical a iables, and o desc ibe i em esponses. We es ed he ac o ial alidi y o he SCHFI .6.2 using con i ma o y and explo a o y ac o analysis. Resul s: Con i ma o y ac o analysis (CFA) was pe o med using he ou p e-exis ing models which esul ed wi h poo i indices. Thus, we pe o med explo a o y ac o analysis (EFA) on each o he SCHFI .6.2 scales. Conclusion: The Spanish e sion o he SCHFI .6.2. has good cha ac e is ics o ac o ial alidi y and can be used in clinical p ac ice and esea ch o measu e sel -ca e in pa ien s wi h HF. Keywo ds: sel -ca e; hea ailu e; psychome ics 1. In oduc ion Hea ailu e (HF) is a majo and g owing public heal h p oblem wo ldwide. In de- eloped coun ies such as he Uni ed S a es, HF a ec s app oxima ely 2% o he adul In . J. En i on. Res. Public Heal h 2021,18, 569. h ps://doi.o g/10.3390/ije ph18020569 h ps://www.mdpi.com/jou nal/ije ph In . J. En i on. Res. Public Heal h 2021,18, 569 2 o 10 popula ion [ 1 ], ising o abou 10% in people age 70 o olde . I is es ima ed ha app oxi- ma ely 15 million Eu opeans su e om HF, wi h a p e alence ha anges om 0.4% o 2.3% in Eu opean popula ions [ 2 ]. In Spain, he p e alence o HF is 1.3% in people be ween 45 and 54 yea s bu ises o 16.1% in people o e he age o 75 [ 3 ]. Ac oss he wo ld, HF is associa ed wi h high mo ali y, high hospi aliza ion a es, and poo quali y o li e [ 4 ]. In Spain, HF is he i s cause o hospi aliza ion in adul s o e age 65 and ep esen s 2% o he o al heal hca e budge [2]. Sel -ca e has been shown o imp o e quali y o li e and educe hospi aliza ion a es in pa ien s wi h HF [ 5 , 6 ]. De ined as a na u alis ic decision-making p ocess, sel -ca e in ol es he choice o beha io s ha main ain physiological s abili y (sel -ca e main enance) and he esponse o symp oms when hey occu (sel -ca e managemen ) [ 7 ]. Bo h sel -ca e main enance and sel -ca e managemen a e in luenced by sel -ca e con idence which is he sel -e icacy in pe o ming sel -ca e [ 7 , 8 ]. Na u alis ic decision making desc ibes how people make decisions in eal-wo ld se ings [9]. One ins umen used o measu e sel -ca e is he Sel Ca e o Hea Failu e Index (SCHFI). This ins umen , de eloped in he USA, was ini ially comp ised o 15 i ems di ided in o h ee scales. This e sion o he SCHFI was es ed in a U.S. sample o 760 HF pa ien s [ 10 ], and was upda ed o e sion 6.2, in 2009. Ve sion 6.2 has 22 i ems di ided in o he ollowing h ee scales: sel -ca e main enance, sel -ca e managemen , and sel -ca e con idence. The o al sco e o each sepa a e scale is s anda dized om ze o o 100 [ 11 ]. Since hen, he ins umen has been ansla ed in o se e al o he languages [12–15]. Spanish is he second mos common spoken language in he wo ld [ 16 ], bu he psycho- me ic p ope ies o he Spanish e sion o he SCHFI ha e, un il now, no been desc ibed. Sel -ca e beha io s a e in luenced by language and cul u e [ 17 ]. Fo his eason, i is impo an o ansla e, cul u ally adap , and assess he psychome ic p ope ies o he SCHFI ac oss o he coun ies and languages. Adap ing an ins umen om one language o ano he is a common p ac ice, bu a e doing so, in es iga o s mus e es psychome ic cha ac e is ics o assu e equi alence [ 18 ]. The e o e, he pu pose o his s udy was o es he psychome ic p ope ies o he Spanish e sion o he SCHFI .6.2. 2. Me hods 2.1. T ansla ion, Adap a ion, and Modeling Be o e es ing i s psychome ic p ope ies, he SCHFI .6.2 was ansla ed and adap ed om i s o iginal English e sion in o Spanish. We ollowed he guidelines published by Bea on e al. [ 19 ], which di ided he p ocess in o he ollowing six s eps, namely: (1) ansla ion, (2) syn hesis, (3) back ansla ion, (4) syn hesis o back ansla ion, (5) expe commi ee e iew o he ansla ed e sion, and (6) p e es ing. Acco ding o his me hodology, he o iginal SCHFI .6.2 was ansla ed in o Spanish by a esea che who was amilia wi h he ins umen and i s cha ac e is ics. This Spanish ansla ion was blindly back ansla ed in o English by a bilingual esea che who had no seen he o iginal English e sion. Bo h esea che s we e ins uc ed o use simple sen ences, and a oid me apho s, colloquial e minology, passi e sen ences, and hypo he ical s a e- men s. The back- ansla ed e sion o he SCHFI was e iewed by he o iginal au ho o he ins umen o check he accu acy o he ansla ion. Mino ansla ion issues we e esol ed by e-mail and a inal Spanish e sion o he SCHFI .6.2 was es ablished. Subsequen ly, an expe commi ee compa ed and con as ed bo h he o iginal and back- ansla ed e sions o he SCHFI and ag eed, by consensus, on a inal Spanish e sion o he SCHFI .6.2. The objec i e o he expe commi ee was he adap a ion as p ecisely as possible o he o iginal language o he Spanish e sion o he SCHFI. I was made up o na i e eache s in bo h languages wi h clinical expe ience. As a inal s age, cogni i e in e iews we e comple ed on a sample o 32 pa ien s. In his phase, mino changes we e made o he ansla ion in o de o imp o e he eadabili y o he i ems. Fo example, o cla i y he di e ences be ween he i ems measu ing “exe cise” and “physical ac i i y”, we added some examples o physical ac i i y (i.e., ga dening and housekeeping). In . J. En i on. Res. Public Heal h 2021,18, 569 3 o 10 2.2. P ocedu es and S a is ical Analysis This s udy was conduc ed in he no heas egion o A agon (Spain) using a c oss- sec ional design. We en olled a sample o n= 203 pa icipan s admi ed o he Hospi al Clínico Lozano Blesa in Za agoza (Spain), who me he ollowing inclusion c i e ia: (1) being diagnosed wi h HF acco ding o he Eu opean Socie y o Ca diology (ESC) c i e ia [ 2 ], and (2) being 18 yea s o olde . We excluded pa ien s wi h a signi ican cogni i e impai men es ablished by sco ing less han 4 poin s on he six-i em sc eene [ 20 ]. All da a we e collec ed by quali ied nu ses, who had been speci ically ained o his pu pose, du ing he pa ien s’ admission. Once he pa ien s had g an ed hei in o med consen o pa icipa ion in he s udy, hey we e in e iewed. The s udy was conduc ed du ing 2018. All pa icipan s comple ed he Spanish e sion o he SCHFI .6.2, comp ising i s h ee scales, i.e., he sel -ca e main enance scale (10 i ems), he sel -ca e managemen scale (six i ems), and he sel -ca e con idence scale (six i ems). Each i em uses a i e-poin Like scale o esponses. We also adminis e ed a sociodemog aphic ques ionnai e o collec cha ac e is ics and ac o s ela ed o HF such as age, smoking habi , numbe o p e ious hospi aliza ions, ma i al s a us, and le el o educa ion. Sociodemog aphic and clinical a iables we e summa ized using desc ip i e s a is ics such as mean and s anda d de ia ion in he case o quan i a i e a iables, and equencies in he case o ca ego ical a iables. In addi ion, desc ip i e s a is ics we e used o desc ibe i em esponses and o summa ize scale sco es. We es ed he ac o ial alidi y o he SCHFI using ac o analysis. Ini ially, we es ed he p e iously published SCHFI models [ 21 , 22 ] using con i ma o y ac o analysis (CFA). Howe e , he i o hese models was poo o he Spanish e sion o he SCHFI. Subsequen ly, we pe o med explo a o y ac o analysis (EFA) in o de o de e mine he numbe o la en cons uc s and he unde lying ac o s uc u e o each SCHFI .6.2 scale. Fo he CFA, we used he ollowing i indices: (1) χ2 es , non-signi ican alues a e in e p e ed as suppo ing model i ; (2) compa a i e i index (CFI), alues ≥ 0.90 o > 0.95 suppo good i ; (3) no med i index (NFI), alues ≥ 0.90 suppo good i ; and (4) oo mean squa e e o o app oxima ion (RMSEA), alues < 0.06 indica e good app oxima ion o i . Fo he EFA, we used p incipal axis ac o ing and P oMax oblique o a ion. Da a analysis was pe o med using SPSS and IBM SPP-AMOS V24 (IBM Co po a ion, New O cha d Road A monk, New Yo k, NY, USA). 2.3. E hical Conside a ions This s udy adhe ed o Eu opean and Spanish da a p o ec ion egula ions (O ganic Law 3/2018 and Gene al Da a P o ec ion Regula ion (EU) 2016/679). The s udy p o ocol was e iewed and app o ed by a local esea ch e hics commi ee ( e e ence no. P15/0216). A local e hics commi ee app o ed he s udy be o e da a collec ion began. All pa icipan s we e ully in o med abou he aims o he s udy and signed he in o med consen o m p io o comple ing he esea ch ins umen s. Pa icipa ion was olun a y, and con iden iali y and anonymi y we e sa egua ded a all imes. 3. Resul s Table 1illus a es he main sociodemog aphic cha ac e is ics o he sample. The e we e sligh ly mo e men han women (50.2%) and he mean age o he sample was 81.10 yea s. Mos o he subjec s we e widowe s (46.8%) and hey we e mos ly educa ed up o a p ima y school le el (87.2%). In . J. En i on. Res. Public Heal h 2021,18, 569 4 o 10 Table 1. Main sociodemog aphic cha ac e is ics o he sample (n= 203). Va iables n% Female 101 49.8 Male 102 50.2 Single 15 7.4 Ma ied 92 45.3 Di o ce 1 0.5 Windo e 95 46.8 Educa ion Le el P ima y school 177 8.2 Seconda y school 13 6.4 Voca ional educa ion and aining 1 0.5 Gene al ce i ica e o educa ion 6 3 Uni e si y 6 3 Wo k Employed wo ke 3 1.5 Sel -employed 5 2.5 Pensione 193 95.1 Unemploymen 2 1 Do You Smoke Cu en ly? Yes 13 6.4 No 188 92.6 Do You D ink Alcoholic D inks? Yes 12 5.9 No 189 93.1 AGE HEIGHT WEIGHT How many DAYS ha e you been hospi alized du ing las 12 mon hs due o hea ailu e (HF)? (yea s) (cm) (kg) 25 h Pe cen ile 76.00 150.00 67.00 7.00 50 h Pe cen ile 83.00 160.00 76.00 10.00 75 h Pe cen ile 87.00 169.00 87.30 14.75 The mean, s anda d de ia ion (SD), skewness, and ku osis alues o he Spanish e sion o he SCHFI a e epo ed in Table 2. Rega ding he sel -ca e main enance scale, he i em wi h he highes sco e was “keep doc o o nu se appoin men s”, whe eas he i em wi h he lowes sco e was “exe cise o 30 min”. In he sel -ca e managemen scale, he i em “call he physician o nu se” in he case o symp oms had he highes sco e, whe eas i em Numbe 16, i.e., e alua ing symp om ea men , had he lowes sco e. Finally, in he sel -ca e con idence scale, he i em wi h he highes sco e was Numbe 18, e alua ing con idence in ollowing he ea men ad ice, and he i em wi h he lowes sco e was Numbe 21, e alua ing how well a emedy wo ks. In . J. En i on. Res. Public Heal h 2021,18, 569 5 o 10 Table 2. Desc ip i e s a is ics o he Sel Ca e o Hea Failu e Index (SCHFI) i ems. Mean SD Skewness Ku osis Sel -ca e main enance scale Lis ed below a e common ins uc ions gi en o pe sons wi h hea ailu e. How ou inely do you do he ollowing? 1. Weigh you sel 2.14 1.389 0.759 −0.860 2. Check you ankles o swelling 3.2834 1.49547 −0.388 −1.335 3. T y a oid ge ing sick 3.3155 1.72643 −0.321 −1.654 4. Do some physical ac i i y 2.4225 1.33929 0.453 −0.954 5. Keep doc o o nu se appoin men s 4.3155 1.28345 −1.843 1.987 6. Ea a low-sal die 2.9198 1.58249 0.084 −1.572 7. Exe cise o 30 min 1.6952 1.26071 1.732 1.622 8. Fo ge o ake one o you medicines 1.8182 1.42900 1.453 0.469 9. Ask o low-sal i ems when ea ing ou o isi ing o he s 2.0267 1.37345 0.983 −0.447 10. Use a sys em (pill box . . . ) o help you emembe you medicines 3.6738 1.68022 −0.739 −1.183 Sel -ca e managemen scale In he pas mon h ha e you had ouble b ea hing o ankle swelling? † 11. I you had ouble b ea hing o ankle swelling in he pas mon h, how quickly did you ecognize i as symp oms o HF? 2.5357 1.95731 0.011 −1.599 Lis ed below a e emedies ha people wi h HF use. I you ha e ouble b ea hing o ankle swelling, how likely a e you o y one o hese emedies? 12. Reduce he sal in you die 2.6150 1.70432 0.381 −1.600 13. Reduce you luid in ake 1.6471 1.24587 1.843 2.010 14. Take an ex a wa e pill 1.5294 1.14203 2.138 3.295 15. Call he physician o nu se 4.1872 1.47095 −1.486 0.485 Think o a emedy you ied he las ime you had ouble b ea hing o ankle swelling. 16. How su e we e you ha he emedy helped o did no help? 1.4064 1.47581 0.834 −0.330 Sel -ca e con idence scale In gene al, how con iden a e you ha you can . . . 17. Keep you sel ee o hea ailu e symp oms 2.8021 1.33537 −0.002 −1.316 18. Follow he ea men ad ice you ha e been gi en 3.4332 1.41405 −0.595 −0.930 19. E alua e he impo ance o you symp oms 2.8503 1.26535 −0.165 −1.158 20. Recognize changes in you heal h i hey occu 2.8396 1.30998 −0.163 −1.255 21. Do some hing ha will elie e you symp oms 2.0535 1.23014 0.896 −0.354 22. E alua e how well a emedy wo ks 1.7647 1.17694 1.408 0.885 † This ques ion is used o iden i y pa ien s who epo ed symp oms. The sel -ca e managemen scale can be comple ed only i pa ien s epo ed symp oms du ing he las mon h. The CFA was pe o med ini ially on he p e iously published SCHFI models [ 12 , 21 , 22 ] model i was de e mined by combining in o ma ion om he ollowing exac i s a is ics: Chi-squa e es ( χ2 ), compa a i e ix index (CFI), no med ix index (NFI), and oo mean squa e e o o app oxima ion (RMSEA). Howe e , he i indices o he abo e models we e all poo (Table 3). In . J. En i on. Res. Public Heal h 2021,18, 569 6 o 10 Table 3. CFA i indices o he es ed SCHFI .6.2 models. Models χ2(pValue) DF CFI NFI RMSEA Model 1 785.842 (<0.001) 206 0.627 0.560 0.123 Model 2 Sel -ca e main enance scale 189.160 (<0.001) 35 0.573 0.545 0.148 Sel -ca e managemen scale 52.949 (<0.001) 9 0.624 0.616 0.155 Sel -ca e con idence scale 137.585 (<0.001) 9 0.816 0.809 0.266 Model 3 Sel -ca e main enance scale 95.629 (<0.001) 32 0.828 0.770 0.103 Sel -ca e managemen scale Sel -ca e con idence scale 137.425 (<0.001) 8 0.817 0.809 0.295 Model 4 Sel -ca e main enance scale 75.041 (<0.001) 21 0.853 0.814 0.118 Sel -ca e managemen scale Sel -ca e con idence scale 137.527 (<0.001) 9 0.817 0.809 0.277 No e. χ2 = chi squa e es ; DF = Deg ee o F eedom; CFI = Compa a i e Fi Index; NFI = no med i index; RMSEA = Roo Mean Squa e E o o App oxima ion. Model 1 was es ed wi h he h ee SCHFI .6.2 scales in a single model as in Riegel e al.; Model 2 was es ed pe o ming sepa a e con i ma o y ac o analyses, one pe each scale and in Vellone e al.; Model 3 was es ed wi h 2 ac o s pe each SCHFI .6.2 scale acco ding o Vellone e al.; Model 4 was es ed wi h ou ac o s in sel -ca e main enance scale, wo ac o s in sel -ca e managemen scale and one ac o in sel -ca e con idence scale as in Ba ba anelli e al. Sel -ca e managemen model in Model 3 and 4 was no iden i ied. Since none o he es ed models ob ained suppo i e i indices, we pe o med ex- plo a o y ac o analysis (EFA) on each o he SCHFI .6.2 scales (see Tables 4–6). In deciding he bes ac o solu ion o he EFA, we conside ed he ollowing c i e ia: (1) ac o loading >0.30, (2) he numbe o i ems pe ac o , (3) he in e p e abili y o he solu ion, (4) he sc ee plo o he eigen alue, and (5) he heo y unde pinning he SCHFI. Acco ding o hese c i e ia, he bes solu ion was iden i ying wo ac o s o each o he SCHFI .6.2 scales. In he sel -ca e main enance scale, he i s ac o included I ems 1,2 3, 5, 6, and 10. This ac o was named “illness beha io s”. The second ac o included I ems 4, 7, and 9, and was named “heal h p omo ion beha io s”. In he sel -ca e managemen scale, we iden i ied wo ac o s. The “p e en ion beha io s” ac o included I ems 11,12, and 15, and he “illness beha io s” ac o included I ems 13, 14, and 16. Finally, wo ac o s we e also iden i ied in he sel -ca e con idence scale, namely he ac o called “ a ge ed p e en ion beha io s”, which included I ems 17, 18, 19, and 20, and he ac o called “au onomous p e en ion beha io s”, which included I ems 21 and 22. Table 4. Explo a o y ac o analysis o he sel -ca e main enance scale. I ems Fac o Loadings (S anda dized Be as) Fac o 1 Fac o 2 10.353 0.213 20.532 0.162 30.511 −0.058 4 0.056 0.785 50.768 0.007 60.578 0.191 7−0.109 0.680 8 0.003 0.142 9 0.090 0.450 10 0.691 −0.291 Fac o 1, illness beha io s and Fac o 2, heal h p omo ion beha io s. In . J. En i on. Res. Public Heal h 2021,18, 569 7 o 10 Table 5. Explo a o y ac o analysis o he sel -ca e managemen scale. I ems Fac o Loadings (S anda dized Be as) Fac o 1 Fac o 2 11 0.522 −0.150 12 0.880 0.238 13 −0.001 0.659 14 −0.309 0.703 15 0.407 −0.124 16 0.117 0.263 Fac o 1, p e en ion beha io s and Fac o 2, illness beha io s. Table 6. The explo a o y ac o analysis o he sel -ca e con idence. I ems Fac o Loadings (S anda dized Be as) Fac o 1 Fac o 2 17 0.844 −0.066 18 0.743 −0.014 19 0.939 −0.018 20 0.817 −0.111 21 0.163 0.766 22 −0.123 0.951 Fac o 1, a ge ed p e en ion beha io s and Fac o 2, au onomous p e en ion beha io s. 4. Discussion The objec i e o his s udy was o ca y ou he c oss-cul u al adap a ion and alida ion in o Spanish o he SCHFI .6.2, and o imp o e ou unde s anding o he dimensions measu ed by he SCHFI .6.2 (sel -ca e main enance, sel -ca e managemen , and sel -ca e con idence), hus, ob aining a cul u ally equi alen ins umen o assess sel -ca e skills, which implies he choice o beha io s ha main ain physiological s abili y, he esponse o symp oms when hey occu , and he abili y o ollow he ea men egimen and con ol symp oms o a oid HF decompensa ion. To ou knowledge, his is he i s s udy alida ing he SCHFI .6.2 in Spanish language. To da e, simila alida ion s udies, ou side he U.S, ha e been conduc ed only in I aly [12], B azil [13], I an [14], and China [15]. Du ing he c oss-cul u al adap a ion p ocess, some e ms and exp essions we e modi- ied o ensu e cul u al equi alence o cla i y he di e ences be ween he i ems ha mea- su ed “exe cise” and “physical ac i i y”. To imp o e unde s andabili y in ou en i onmen , hese adjus men s we e add essed by adding some examples. Once ansla ed and back ansla ed, i ems we e e alua ed in a ep esen a i e sample o pa ien s esiding in he no heas egion o A agon (Spain). Rega ding he cha ac e is ics o he pa icipan s, in ou s udy, he e we e mo e men han women, wi h a mean age o 81.10 yea s, a low educa ional le el, and, as expec ed, in a si ua ion o wo k inac i i y. This ypology o pa ien s di e s g ea ly om ha o he sample used by Riegel e al. in he o iginal cons uc ion and alida ion o he ques ionnai e ( hey we e younge , and mos had seconda y educa ion). The sample was by a he oldes as compa ed wi h he o he alida ions, including he o iginal, om 55.8 yea s in he Chinese sample o 72.73 yea s in he I alian sample. Rega ding he dis ibu ion by sex, he sample p esen ed simila cha ac e is ics o ha o he o iginal s udy. The g ea p edominance o men o e women in he sample o B azil (78.9%) and China (71%) s ands ou . In he Ame ican sample, he educa ional le el was highe ; he majo i y had seconda y and highe educa ion, which ep esen ed a clea di e ence o he s udy. In he alida ions ca ied ou in I aly and China, he e was a g ea p edominance o pa ien s wi h p ima y school le el s udies (mo e han 74%). This di e ence can be explained, in pa icula , in he Spanish sample by aking in o accoun he age di e ences. In . J. En i on. Res. Public Heal h 2021,18, 569 8 o 10 The ini ial CFA es o he h ee SCHFI scales in a single model o es ac o alidi y esul ed in a poo i o he Spanish e sion, as did he es s o he o he exis ing mod- els. This was no comple ely unexpec ed because sel -ca e is in luence by se e al ac o s including cul u e, pa ien educa ion, and he heal h ca e sys ems [7]. The sel -ca e main enance scale e ealed wo ac o s ha we called disease beha io s and heal h-p omo ing beha io s. I ems ela ed o “exe cise and ac i i y” we e sepa a ed om he o he i ems. I should be aken in o accoun ha , in Spain, exe cise is seen as a bene i by he younge g oups bu i is no a li es yle o he elde ly, he e o e, he esul may be due o he lack o a ailabili y o ca diac ehabili a ion p og ams, as in he Chinese s udy, bu i may also be because he main symp om o ch onic HF is he limi ed abili y o exe cise. An i em ha had an unexpec ed esul was “Ask o low-sal i ems when ea ing ou o isi ing o he s”. This may be ela ed o he wo k si ua ion o he sample since mos we e in a si ua ion o inac i i y, which implies amily meals and ew e en s. The ac o analysis o he sel -ca e managemen scale e ealed wo ac o s ha we called he “p e en ion beha io s” ac o and he “illness beha io s” ac o . I was unlikely ha he pa ien s would educe hei “ luid in ake and/o inc ease he dose o diu e ics”, as well as “e alua e he e ec i eness o he ea men ”. This could be due o he ac ha sel -ca e managemen ecommenda ions a e no a common p ac ice in Spain and in I aly, as desc ibed by Da Conceicao e al. [ 23 ] and Cocchie i e al. [ 24 ]. This was also e lec ed in he Eu opean s udy and he B azilian s udy in ela ion o he i em “ ake an addi ional diu e ic”, which e lec s di e ences in he ea men no ms ha may be ela ed o he coun y’s heal h sys em. The ac o analysis o he sel -ca e con idence scale e ealed wo ac o s ha we called “ a ge ed p e en ion beha io s” and “au onomous p e en ion beha io s”, which again did no di e om he esul s o he I alian s udy, sepa a ing wo i ems ha equi e aining, i.e., “do some hing o elie e you symp oms” and “e alua e how well a emedy wo ks”, om he es o he i ems ha did no equi e making decisions. Con i ma o y ac o analysis in he B azilian, Pe sian, and Chinese e sions e ealed ha he SCHFI .6.2 models hey es ed was qui e simila o he o iginal es ing, bu his was no he esul o ou s udy, since he p e iously published SCHFI models [ 21 , 22 ] did no achie e he expec ed esul s wi h suppo i e i indices. When he EFA was pe o med on each o he SCHFI .6.2 scales, a di e en ac o ial s uc u e eme ged which was di e en o m he published models. 5. Limi a ions The s udy has some limi a ions ha a e impo an o highligh . The sample size, al hough su icien o assess he main objec i es o he s udy, could be imp o ed by he addi ion o mo e pa icipan s. Howe e , in he li e a u e, only I aly has a bigge sample size. The s udies o B azil, China, and I an had smalle samples. We encoun e ed some di icul ies in applying he ins umen s. The low educa ional le el o mos o he esponden s o ced us o ha e a p oac i e a i ude, i.e., o e ing help, bu ha ing an objec i e a i ude in hei adminis a ion. Th ough his, we we e able o induce ce ain answe s, al hough we ied o main ain an objec i e a i ude a all imes and only in e ened when he esponden eques ed i and in o de o cla i y he meaning o any o he ques ions, a he han o induce o a o ce ain answe s. I would be bene icial o ca y ou mo e s udies in di e en egions. 6. Conclusions As compa ed wi h he es o he alida ions, he esul s o anscul u al alida ion we e be e han he Pe sian, Chinese, and B azilian e sions and we e simila o he I alian e sion. Ou s udy has shown ha he Spanish e sion o he SCHFI .6.2. has a ac o ial alidi y and could be used in clinical p ac ice and esea ch o measu e sel -ca e in pa ien s wi h HF. In . J. En i on. Res. Public Heal h 2021,18, 569 9 o 10 Au ho Con ibu ions: Concep ualiza ion, R.J.-V. and A.D.; me hodology, V.G.-C.; so wa e, R.A.-O.; alida ion, A.D.; o mal analysis, E.V.; in es iga ion, A.D.; esou ces, R.R.d.V.-H.; da a cu a ion, A.B.- E.; w i ing—o iginal d a p epa a ion, J.V.B.-C.; w i ing— e iew and edi ing, J.R.-G.; isualiza ion, I.S.-A.; supe ision, M.C.; p ojec adminis a ion, R.J.-V. All au ho s ha e ead and ag eed o he published e sion o he manusc ip . Funding: This esea ch ecei ed no ex e nal unding. Ins i u ional Re iew Boa d S a emen : The s udy was conduc ed acco ding o he guidelines o he Decla a ion o Helsinki, and app o ed by he Ins i u ional Re iew Boa d o Comi éde In es igación de la Comunidad Au ónoma de A agón-CEICA (P15/0216). In o med Consen S a emen : All pa icipan s we e ully in o med abou he aims o he s udy and signed he in o med consen o m p io o comple ing he esea ch ins umen s. Pa icipa ion was olun a y, and con iden iali y and anonymi y we e sa egua ded a all imes. Da a A ailabili y S a emen : The anonymous da a p esen ed in his s udy is a ailable upon eques om he i s au ho . The da a is no publicly a ailable due o he legisla ion on pe sonal da a p o ec ion and cu en legisla ion. Acknowledgmen s: The au ho s wan o acknowledge Ba ba a Riegel om Uni e si y o Pennsyl a- nia o he suppo and help. Con lic s o In e es : The au ho s decla e no con lic o in e es . Re e ences 1. Sa a ese, G.; Lund, L.H. Global Public Heal h Bu den o Hea Failu e. Ca d. Fail. 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