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Pediatric inflammatory bowel disease: Diagnostics, treatment and psychosocial consequences - 5: Adherence to oral maintenance treatment in adolescents with inflammatory bowel disease

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UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl)

Pediatric inflammatory bowel disease: Diagnostics, treatment and psychosocial

consequences

Hummel, T.Z.

Publication date

2013

Link to publication

Citation for published version (APA):

Hummel, T. Z. (2013). Pediatric inflammatory bowel disease: Diagnostics, treatment and

psychosocial consequences.

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cHAPter 5

Adherence to oral

maintenance treatment in adolescents

with inflammatory bowel disease

Thalia Z. Hummel*

Lieke M. Spekhorst*

M.A. Benninga

P.F. van Rheenen

A. Kindermann

* Both authors contributed equally to this work

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ABSTRACT

Objectives: To systematically review the rates of non-adherence to oral maintenance

treatment in adolescents with inflammatory bowel disease (IBD), and to describe perceived barriers to adherence and psychosocial factors involved.

Design: Systematic review

Data sources: Studies published in Medline, Embase and Psychinfo up to December 2012. inclusion criteria: Studies that had collected data on adherence to thiopurines or

aminosalicylates in a cohort of adolescents with IBD. Case reports and case series were excluded.

results: 19 studies were included. Lack of uniformity of outcome measures made pooling

of data impossible. Rates of medication non-adherence ranged from 3 to 73%. The most frequently reported barriers were ‘just forgot’, ‘wasn’t home’ and ‘interferes with activity’. Family dysfunction, peer victimization, poor health related quality of life, poor child coping strategies, anxiety and depressive symptoms were associated with medication non-adherence.

conclusions: Non-adherence to oral maintenance therapy in adolescents with IBD is a

significant health care problem. Difficulties in family and social interactions, as well as psychosocial dysfunction can jeopardize IBD treatment outcome and should receive attention early in the course of disease.

Impact on clinical practice: Insufficient response to oral maintenance treatment that is

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introDuction

Inflammatory bowel disease (IBD) is a lifelong disease, characterized by chronic relapsing inflammation of the gastrointestinal tract, comprising two major disorders: Crohn’s disease (CD) and ulcerative colitis (CU). IBD is characterized by intermittent and unpredictable symptoms like abdominal pain, diarrhea and fatigue. IBD disease management involves multiple medications with varying regimes, dietary modifications (nutritional therapy in CD) and in some cases surgical interventions. International guidelines advocate a so-called step-up approach, with the least toxic drugs prescribed in the first instance. If these drugs fail to sustain remission (or significant side effects occur) than more expensive and toxic agents may be prescribed. If this is done without first reviewing adherence to first line medication, the arsenal of effective drugs quickly becomes exhausted.

Adolescents are known to be the least adherent group of patients in pediatrics (1). There is, however, no gold standard for the measurement of non-adherence and each method of adherence assessment has its limitations and strengths (2). Subjective methods are the self-reported or parent-reported adherence surveys. They provide an abundance of data regarding timing, frequency and patterns of non-adherence. However, they are limited by potential response bias and recall bias. Objective methods are pill count, pharmacy refill recordsand biological assays. Pill counts are fairly accurate and easy to use in a clinical setting, but they can easy be manipulated, both negatively and positively and it doesn’t guarantee consumption. The strength of using refill data is that one can obtain information about medication use during a time period when the patients and their families were not aware that adherence was being evaluated. However, also pharmacy records do not guarantee the adolescents actually consumed the prescribed medications and non-adherence can be underestimated by recent/ large refills. A medication monitoring system which records the date and time of each pill bottle opening can increase objectivity of medication adherence. However, they can malfunction and only confirm opening of the device rather than medication ingestion. Biological assay, concerning 6-thioguanine (6-TG) levels, can be done in adolescents who are currently prescribed thiopurines (6-mercaptopurine/azathioprine). Serum assays are feasible, but expensive, are limited in quantifying adherence and can be manipulated by patient-initiated dosing changes. Furthermore, bioassays are subject to pharmacokinetic and pharmacodynamic variations.

Therefore, sub-therapeutic 6-TG levels are not always the result of non-adherence. Cases in which both 6-TG and 6-MMP levels are sub-therapeutic/ unquantifiable likely indicate non-adherence.

There is a growing interest in medication adherence in patients with chronic disease. The purpose of this article is to provide a systematic review of the literature concerning medication adherence in adolescents with IBD. We focussed on rates of non-adherence

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for oral maintenance therapy (thiopurines or aminosalicylates) in adolescents with IBD, perceived barriers to treatment adherence and the psychosocial factors involved.

metHoDs

Identification of studies

We searched for studies published in Medline, Embase and Psychinfo up to December 2012. The search strategy was [adherence or compliance] AND [adolescent* or teen* or child* or pediatric*or paediatric*] AND [Crohn* or ulcerative colitis or inflammatory bowel disease]. We restricted our search to studies published in English only. For further relevant studies we checked the reference lists of identified studies. All potentially relevant studies were retrieved as full papers.

Study selection

Two reviewers (LMS, TZH) independently screened all abstracts of identified published articles for eligibility using the following inclusion criteria.

1. Study examined data from original research. Case reports and case series were excluded.

2. The study population consisted of adolescents aged 12-18 years.

3. Participants had a medically confirmed diagnosis of CD, UC, or indeterminate IBD. 4. Outcome measures included medication adherence rates, as part of a study or as an

outcome of intervention in a treatment study.

5. The medication regimen included oral thiopurines (6-mercaptopurine/azathioprine) and/or aminosalicylates (5-aminosalicylic acid).

Any disagreements regarding the inclusion of articles were resolved by discussion.

Quality assessment and data extraction

Study quality was assessed by using a previously published checklist for the evaluation of observational studies (3).

Each item was scored as “yes,” “no,” or “unclear.” We did not calculate summary scores because their interpretation is problematic and potentially misleading. From the checklist we chose six of the best differentiating items (table 1).

• Study participants:

Criteria for inclusion: Were the criteria for inclusion of subjects described?

Generizability: Have the demographic characteristics of the study sample clearly been

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• Validity and reliability testing: Have the laboratory tests, instruments and/or questionnaires to measure medication adherence rates and factors affecting medication adherence undergone validity and reliability testing?

• Design-specific sources of bias: If bias was decreased by using a multi-method medication adherence assessment we scored this item as ‘no’. Studies scored ‘yes’ if only one method of adherence assessment was used. Selection bias was not taken into account because this was present in most studies as adolescent who are non-adherent will participate less often.

• Control of confounding: Studies scored ‘yes’ if in the statistics paragraph or in the results section assessment of control of confounders was mentioned. If only univariate or bivariate analysis were mentioned we scored this item as ‘no’, also when no significant bivariate correlation was found.

• Statistical method: Where the statistical tests used to analyze the data clearly described? Disagreement between the two reviewers was resolved by discussion. Following quality rating, methodological, demographic and clinical information were systematically extracted from each article.

results

Study selection

The study includes results of electronic searches up to December 2012. A total of 507 papers were identified, of which 19 met our inclusion criteria (4-21). After reading the full text, 1 study was additionally excluded, because this study comprised secondary data from another included study (22). Table 2 lists the characteristics of the 18 remaining studies, including 2 randomized controlled trials (pilot studies), 1 prospective cohortstudy, 2 retrospective observational studies and 13 cross-sectional observational studies.Clinical diversity between the studies was large with regards to medication type, assessment methods, reporter of adherence and outcome measures. Lack of uniformity of outcome measures made pooling of data impossible.

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table 1. summary of methodological quality of included studies Gray (2011)4 + - + + + + Greenley (2010)5 + - - + - + Greenley (2012)6 + - + - - + Hommel (2008)7 + - + - + + Hommel (2009)8 + - + - - + Hommel (2010)9 + - + - - + Hommel (2011)10 + - + + + + Hommel (2011)11 + - + + - + Hommel (2012)12 + - - + + + Ingerski (2010)13 + - + - - + Janicke (2009)14 - - - + + + Kamperdis (2012)15 + - + + + -Kitney (2009)16 - - - + - -Mackner (2005)17 + - - + - + Oliva-hemker (2007)18 + - + + - + Ooi (2007)19 + ? + + - + Reed-Knight (2011)20 + - + + + + Schurman (2011)21 + - - + + + Validity & reli abilit y testi ng Desig n spe cific b ias contr ol of con found ing Statis tical m ethod s criter ia for inclus ion Generi zabilit y

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Table 2. Methodological, demographic and clinical characteristics of included studies Si gn ifi can t r es ul ts Re port ed adhe re nce: adole scen t 8.6/10 (adole sce nt and par en t t og ethe r). Barrie rs: jus t f or ge t 84.8%, w as not home 43%, in te rf er es

with activity 34.2%. Other: The

pr esence of an xie ty/depr essiv e s ymp toms in te ns ifi ed th e ne ga tiv e im pa ct o f b ar rie rs to a dh er en ce on a do le sc en t’s a dh er en ce . A sig ni fic an t c or re la tio n w as fo un d be tw ee n di se as e se ve rit y an d pa tie nt ra te d ad he re nc e an d ad he re nc e barrier s. Re port ed adhe re nce: 65% of adole scen ts, 66% of m ot he rs re po rt ed p er fe ct a dh er en ce (5 -p oi nt sc al e 0= ne ve r, 4= alw ay s adher en t). Barrie rs: lack of time 33%, fe eling w ell 16%, side e ffe cts 14 % , m isb el ie f 1 4% . Other: Adolescen ts with >1 daily me dic ation ad m in ist ra tio n an d m ul tip le m ed ic ati on s r ep or te d m or e ad he re nc e ba rr ie rs , i nd iv id ua ls w ith im pe rf ec t a dh er en ce on ma ternal r

eport had signific

an tly mor e barrie rs. Re po rt ed a dh er en ce : a dh er en ce r at e o f 9 6% . Pi ll c ou nt a dh er en ce : a dh er en ce r at e o f 9 3% , 2 8% o f th e s am pl e a dh er en ce b el ow 8 0% . O th er : H ig h lev el s of a do le sc en t i nv ol ve m en t i n th ei r m ed ic ati on r eg im e i s a ss oc ia te d w it h b ett er ad he re nc e. Re po rt ed a dh er en ce : 9 3. 2% f or 6 -M P a nd 9 7% f or 5-A SA ( sc or es 0 -1 00 % , < 80 % n on ad he re nt ). Pi ll c ou nt a dh er en ce : 6 2. 6% f or 6 -M P/ A ZA , 5 1. 5% fo r 5 -A SA . A ss ay a dh er en ce : 1 9. 4% i n t he ra pe uti c r an ge O th er : 6 -M P/ A ZA n on -a dh er en ce w as r el at ed to po or er p ati en t-re po rt ed p hy si ca l h ea lt h Q O L. G re at er s el f-re po rt ed 5 -A SA a dh er en ce w as r el at ed to po or er pa tie nt re po rt ed ps yc ho lo gi ca l h ea lt h Q O L. A ss es smen ts MAM CBCL-YSR M ed ic ati on A dh er en ce Q ue sti on nai re MAM IBD -FR Q M ed ic ati on Ev en ts M on it or in g Sy st em M A M , P ill co un t, s er um as sa y, Pe ds Q L, C D I o ut co m es a sses sed M ed ic ati on a dh er en ce , barrier s t o adher ence, re la tio ns hi p w ith an xi et y/ d ep re ss iv e symp toms M ed ic ati on ad he re nc e, b ar ri er s to a dh er en ce M ed ic ati on ad he re nc e, r ol e o f yo ut h a nd m at er na l in vo lv em ent M ed ic ati on ad he re nc e, Q ua lit y of L ife ( Q O L) stud yde si gn Cr oss-sectional Cro ss - se ctio na l Pr os pe cti ve co ho rt as ses sm en t Cro ss - se ctio na l A ge r an ge 13-17 y mea n ag e 15.5 y 11-1 8 y m ea n a ge 15 .1 3 y 11 -1 8 y m ea n a ge 14 .7 y 13 -1 7 y m ea n a ge 15 .6 9 y Par ti ci pan ts (N ) IB D n =7 9 (U C 20 % , C D 8 0% ) no c on tr ol gr oup IB D n =6 4 ( U C 18 % , C D 8 2% ) no c on tr ol gr oup IB D n = 5 1 ( CD 86 % ) n o co nt ro l g ro up IB D n =3 6 ( U C 14 % , C D 8 6% ) no c on tr ol gr oup G ra y et al (2011) 4 G re en le y et a l (2 010) 5 G re en le y et a l (2 01 2) 6 H om m el et a l (2 00 8) 7

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Si gn ifi can t r es ul ts Report ed adher ence: non-adher ence fr equency

(doses missed) of 6% and 3% and pr

ev alence (not t aking 80% of medic ation) of 10% and 2% for r esp. 6-MP /AZ A and f or 5-AS A . Pill c oun t adher ence: non-adher ence fr equency of 38% and 49% and pr ev alence of 64% and 88% for r esp. 6-MP /AZ A and f or 5-AS A . Assa y adher ence: 14% in ther apeutic r ang e Non-adher ence pr ev alence of 36%. Re po rt ed a dh er en ce : n on -a dh er en ce f re qu en cy 8% f or 6 -M P/ A ZA , 5 % f or 5 -A SA , p re va le nc e w as 13 % f or b ot h. Pi ll c ou nt a dh er en ce : n on -a dh er en ce f re qu en cy of 4 2% a nd 5 0% a nd p re va le nc e o f 8 1. 3% a nd 93 .3 % f or r es p. 6 -M P/ A ZA a nd f or 5 -A SA . Ba rr ie rs : MAM : J us t f or ge t 8 7. 5% , w as n’ t h om e 75 % , i nt er fe re s w it h a cti vi ty 6 8. 7% . In te rv iew : f or ge tti ng 9 3. 7% , o th er a cti vi tie s 93. 7% , re gi m en c om pl ex it y 6 2. 5% , d iffi cu lt y s w al lo w in g p ill s 56 .2 % . O th er : N um be r o f r ep or te d b ar rie rs w as p os iti ve ly co rr el at ed w ith o bj ec tiv e no n-ad he re nce fo r 6 -M P/ A ZA . Re po rt ed a dh er en ce : a do le sc en t 8 .5 /1 0, p ar en ts 8. 9/ 10 . Ba rr ie rs : j us t f or ge t 85 .5 % , w as n ot h om e 43 .5 % , in te rf er es w it h a cti vi ty 3 8. 7% . O th er : P ar en tal r ati ng s of m ed ic ati on a dh er en ce an d pe rc ei ve d b ar ri er s t o a dh er en ce p re di ct ed d is ea se se ve ri ty , a ft er c on tr ol lin g f or b eh av io ur al a nd di se as e p ar am et er s. In di vi du al ly t ai lo re d t re at m en t r es ul te d i n a 4 % g ai n ( no t s ig ni fic an t) i n 6 -M P/ A ZA a dh er en ce (5 2% b as el in e; 5 6% p os t t re at m en t) a nd a 2 5% g ai n (n ot s ig ni fic an t) i n 5 -A SA a dh er en ce ( 43 % b as el in e; 68 % p os t t re at m en t) . A ss es smen ts

MAM, pill coun

t, serum assa y M A M , p ill co un t, Tr ea tm en t ad he re nc e in te rv iew M A M , P CDA I, LC A I, C BC L, YS R, C D I Pi ll c ou nt o ut co m es a sses sed Medic ation adher ence, objectiv e vs subjectiv e M ed ic ati on ad he re nc e, b ar ri er s to a dh er en ce M ed ic ati on ad he re nc e, b ar ri er s to a dh er en ce , di se as e s ev er it y M ed ic ati on ad he re nc e, to e va lu at e t he effi ca cy o f a n in di vi du al ly ta ilo re d. .. stud yde si gn Cr oss-sectional Cro ss - se ctio na l Cro ss - se ctio na l Ra nd om iz ed con tr ol le d tr ai l (p ilo t s tu dy ) A ge r an ge 13-17 y mean ag e 15,62 y 13-1 7 y m ea n a ge 15 ,7 5 y 13 -1 7 y m ea n a ge 15 ,4 7 y 11 -1 8 y m ea n a ge 14 .8 9 y Par ti ci pan ts (N ) IBD n=42 (UC 14%, CD 86%) no c on tr ol gr oup IB D n =1 6 ( U C 6% , C D 9 4% ) n o co nt ro l g ro up IB D n =6 2 ( U C 21 % o r C D 79 % ) n o co nt ro l g ro up IB D n =1 4 ( U C 21 % , C D 7 9% ) w ai tl is t c on -tr ol s H ommel et al (2009) 8 H om m el et a l (2 010) 9 H om mel et a l (2 01 1) 10 H om m el et a l (2 01 1) 11

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Re po rt ed a dh er en ce : a do le sc en t 8 7% f or 6 -M P/ A ZA an d 9 3% f or 5 -A SA , p ar en ts 8 3% f or 6 -M P/ A ZA an d 8 9% . Pi ll c ou nt a dh er en ce : 6 6% f or 6 -M P/ A ZA , 5 1% f or 5-A SA . W it h m on it or in g s ys te m 8 9% . O th er : g ro up b as ed tr ea tm en t r es ul te d in a 6% g ai n (n ot s ig ni fic an t) i n 6 -M P/ A ZA a dh er en ce a nd a 2 5% ga in ( p< 0. 01 ) i n 5 -A SA a dh er en ce ( bo th a do le sc en t re po rt) . Re po rt ed a dh er en ce : a do le sc en t 8 .5 /1 0, m ot he r 8. 8/ 10 , f at he r 9 .1 /1 0, a dh er en ce r ati ng s b y f am ily re po rt ed m is se d d os es 9 4. 7% f or 6 -M P/ A ZA an d 9 6. 8% f or 5 -A SA . Pi ll c ou nt a dh er en ce : 6 4. 4% f or 6 -M P/ A ZA , 62 .1 % f or 5 -A SA . A ss ay a dh er en ce : 1 3, 5% i n t he ra pe uti c r an ge Ba rr ie rs : J us t f or ge t 8 7. 8% , w as n ot h om e 47 .3 % , in te rf er es w it h a cti vi ty 4 4. 6% . O th er : F ew er to tal r ep or te d bar ri er s w as r el at ed to b ett er a dh er en ce b y a do le sc en t a nd m at er na l rep or t. Re po rt ed a dh er en ce : c hi ld = 2 .4 , p ar en t= 2 .5 , cl in ic ia n= 2 .5 ( 4 p oi nt s ca le : 0 = r ar el y, 4 = a lw ay s ad her en t) . O th er : P ee r vi cti m iz ati on w as n eg ati ve ly as so ci at ed w it h c hi ld r ep or t o f a dh er en ce . C hi ld r ep or te d po si ti ve s oc ia l i nt er ac tio ns m od er at ed t he re la tio ns hi p b et w ee n c hi ld r ep or te d p ee r vi cti m iz ati on a nd p ar en t/ se lf-re po rt ed m ed ic ati on ad he re nc e. Pi ll c ou nt , Tr ea tm en t Re gi m en A dh er en ce Q ue sti on -nai re , M ed ic ati on Ev en t M on it or in g Sy st em M A M , p ill co un t, s er um assa y Ch ild , p ar en t an d c lin ic ia n es tim at e o f ad he re nc e, SEQ ... b eh av io ra l tr ea tm en t f or no n-ad he re nc e M ed ic ati on ad he re nc e, t o ev al ua te t he e ffi ca cy of a g ro up b as ed be ha vi or al t re at m en t fo r n on -a dh er en ce M ed ic ati on ad he re nc e, b ar ri er s to a dh er en ce M ed ic ati on ad he re nc e, re la tio ns hi p w it h pe er v ic tim iz ati on an d p ro so ci al su pp or t Ra nd om iz ed con tr ol le d tr ai l (p ilo t s tu dy ) Cro ss -se ctio na l Cro ss - se ctio na l 11 -1 7 y m ea n a ge 15 .4 y 13 -1 7 y m ea n a ge 14 ,9 7 y 7-19 y m ea n a ge 14 .5 y IB D n =4 0 ( (U C 17 .5 % , C D 7 5% , IB D U 7 .5 % ) co nt ro l g ro up (u su al c ar e) IB D n =7 4 ( U C 19 % , C D 8 1% ) no c on tr ol gr oup IB D n =3 8 ( U C 36 % , C D 5 9% ) no c on tr ol gr oup H om m el et a l (2 01 2) 12 in ge rs ki et a l (2 010) 13 Ja ni ck e et a l (2 00 9) 14

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Si gn ifi can t r es ul ts Serum adher ence: 18% in ther apeutic r ang e, 12% of pa tien ts w er e non-adher en t, adolescen ts 29% > adults 8%. Other: P atien ts living in mor e socially depriv ed ar eas w er e mor e lik ely t o be non-adher en t. Re po rt ed a dh er en ce : A dh er en ce r at e ( 80 % c ut off ) w as 7 9. 8% . Ba rr ie rs : t oo b us y (5 5. 6% ), di ffi cu lt to sw al lo w (1 7. 8% ). O th er : N on -a dh er en ce w as as so ci at ed w ith o ld er a ge an d l on ge r d is ea se d ur ati on . Re po rt ed a dh er en ce : a lw ay s a dh er en t a do le sc en ts 48 % , p ar en ts 3 8% , ( 5-po in t s ca le 0 = n ev er 4 = a lw ay s ad her en t) . O th er : F am ily d ys fu nc tio n an d po or c hi ld c op in g st ra te gi es w er e a ss oc ia te d w it h w or se a dh er en ce . Pi ll c ou nt a dh er en ce : 5 0% f or 6 -M P/ A ZA a nd 3 4% f or 5-A SA ( 80 % c ut off ). Pr es cr ip tio n r efi ll s co re s r an ge d f ro m 0 % -1 94 % . O th er : T he m ean nu mb er o f t ot al h eal th c ar e vi si ts an d e m er ge nc y d ep ar tm en t v is it s w as s ig ni fic an tl y gr ea te r f or p ati en ts a dh er en t t o 5 -A SA . A ss ay a dh er en ce : 2 7. 6% o f m ea su re m en ts i n th er ap eu tic r an ge , n on -a dh er en ce p re va le nc e o f 16 % . A ss es smen ts Serum assa y M ed ic ati on A dh er en ce Q ue sti on nai re M ed ic ati on ad he re nc e in te rv iew , CB CL , C D I, Pi er s H ar ri s Se lf-Co nc ep t Sc al e, F A D , CSI Phar m ac y re fil l r ec or ds Se ru m a ss ay o ut co m es a sses sed Medic ation adher ence M ed ic ati on ad he re nc e, b ar ri er s to a dh er en ce , f ac to rs as so ci at ed w it h no n-ad he re nc e M ed ic ati on ad he re nc e, f ac to rs as so ci at ed w it h no n-ad he re nc e M ed ic ati on ad he re nc e, f ac to rs as so ci at ed w it h no n-ad he re nc e M ed ic ati on ad he re nc e stud yde si gn Re tr o-spectiv e ob se rv ational study Cro ss - se ctio na l Cro ss - se ctio na l Cro ss - se ctio na l Re tr o-sp ec ti ve ch ar t r ev ie w A ge r an ge mean age 18.7 and 38 y No i nf o m ea n a ge 13 .2 y 11 -1 7 y m ea n a ge 14 ,6 9 y 1-17 y m ea n a ge 14 .2 y N o i nf o m ea n ag e 12 .4 y Par ti ci pan ts (N ) IBD n=238, 49 adolescen ts,

189 adults (UC 43%, CD 53%, IBDU 4%) no c

on tr ol gr oup IB D n =1 19 ( U C 40 % , C D 5 6% , IB D U 4 % ) no c on tr ol gr ou p IB D n =5 0 ( U C 8% , C D 7 6% , IB D U 1 6% ) no c on tr ol gr ou p CD n =5 1, no c on tr ol gr ou p IB D n =5 6 ( U C 7% , C D 7 5% , IB D U 1 8% ) no c on tr ol gr oup Kamper dis et al (2012) 15 Ki tn ey et a l (2 00 9) 16 m ac kn er et a l (2 00 5) 17 O liv a-hemk er et a l (2 00 7) 18 o oi et a l (2 00 7) 19

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Report ed adher ence: adher ence r at e of 89,5% based on adolescen t r

eport and 92,8% based on par

en

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report. Other:

Long

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ea

ter per

ceiv

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disease se

verity and a lack of motiv

ation t o adher e pr edict ed lo w er adher ence. Re po rt ed a dh er en ce : a cc id en ta l n on -a dh er en ce : ad ol es ce nt s 7 3. 1% , p ar en ts 7 0. 1% , v ol iti on al ad he re nc e: a do le sc en ts 3 5% , p ar en ts 3 0% . O th er : g re at er fr eq ue nc y of v ol iti on al n on - ad he re nc e w as s ig ni fic an tl y a ss oc ia te d w it h g re at er di se as e a cti vi ty a nd w it h p oo re r p ar en t r ep or te d ps yc ho so ci al Q O L. MAM, T SR Q , IBD-FR Q , issues checklis t IB D -C ar e Beh av io rs, Pe dsQ L M ed ic ati on no n-ad he re nc e, fa ct or s a ss oc ia te d w it h n on -a dh er en ce M ed ic ati on no n-ad he re nc e, vo liti on al v s ac ci de nt al ad he re nc e, f ac to rs as so ci at ed w it h no n-ad he re nc e Cr oss-sectional Cro ss - se ctio na l 11-18 y mean ag e 14.72 y 1-17 y mea n ag e 13 .6 y IBD n= 90 (UC 26%, CD 74%) no c on tr ol gr oup IB D = 7 8 ( U C 25 % , C D 7 5% ) no c on tr ol gr ou p reed- Knigh t et al (2011) 20 sc hu rm an et a l (2 01 1) 21

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IB D = i nfl am m at or y b ow el d is ea se , U C= u lc er ati ve c ol iti s, C D = C ro hn ’s d is ea se , M A M = m ed ic al a dh er en ce m ea su re , P CDA I= p ed ia tr ic C ro hn ’s d is ea se ac ti vi ty i nd ex , L CA I= l ic hti ge r c ol iti s a cti vi ty i nd ex , 6 -M P/ A ZA = 6 -m er ca pt op ur in e/ az at hi op ri ne , 5 -A SA = 5 -a m in os al ic yl ic a ci d, C BC L= c hi ld b eh av io ur ch ec kl is t, Y SR = y ou th s el f r ep or t, P eD sQ L= p ed ia tr ic q ua lit y o f l ife i nv en to ry , C D I= c hi ld re n’ s d ep re ss io n i nv en to ry , S EQ = s oc ia l e xp er ie nc e, qu es tio nn ai re , F A D = f am ily a ss es sm en t d ev ic e, C SI = c op in g s tr at eg ie s i nv en to ry , T RS Q = t re at m en t s el f-re gu la tio n q ue sti on na ir e, I BD -F RQ = I BD fa m ily r es po ns ib ili ty q ue sti on na ir e.

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Rates of non-adherence pediatric IBD

The documented rates of medication non-adherence in adolescents with IBD ranged from 3 to 73%, and are listed in table 2 (4-21). Self-report questionnaires were the most commonly used methods to measure adherence (4,5,7-10,12-14,16,17,20,21). The most used standardized questionnaire was the MAM, a semi-structured interview which can be filled in separately by the adolescent and parents or together. The MAM has demonstrated adequate validity (r=0.40, p<0.05) and reliability (r=0.89, p<0.05) (23). The MAM asks respondents to report the number of doses of medication they have missed in the past 7 days and includes a one-item assessment of medication adherence on a 0 (usually miss) to 10 (rarely miss) point likert scale. Mackner et al. interviewed adolescents and parents separately and found no significant differences in reported medication adherence rates (17). Also in the study of Schurman et al. parents and adolescents agreed reasonably well on the frequency of non-adherence (21). Reed-Knight et al. found a significant difference between parent and adolescent report of adherence, with adolescents reporting less adherence (20).

Several studies used objective methods of assessment, alone or in combination with self-report questionnaires, including pill count (7-9,12,13),pharmacy refill records(18) and biological assay (7,8,13,15,19). Some studies measured medication adherence using self-report, pill count and serum assay analyses at the same time (7,8,13). These studies showed that self-reported medication adherence rates were much higher than the rates measured with objective methods. Greenley et al. compared adherence rate measured with a medication events monitoring system with patient self-report and showed that adolescents who were non-adherent based on the electronic monitoring overestimated their adherence by 23%, whereas adherent adolescents overestimated their adherence by only 2% (6).

Pill count and pharmacy refill data showed that adherence to aminosalicylates is worse compared to thiopurines (7-19,12,13,18). However, with self-reported questionnaires adolescents reported slightly better adherence to aminosalicylates compared to thiopurines.

6-TG levels below 100 pmol (15), 230 pmol (7,8,13) and 235 pmol (19), whether or not in combination with unquantifiable range for 6-MMP(8,19), were considered as indicative for non-adherence. Studies using serum levels showed that only 13.5-19.4% of adolescents fell in the therapeutic range (7,8,13,15), and 16-36% of adolescents were considered non-adherent based on their 6-TG and 6-MMP levels (8,15,19).

Only two randomized controlled pilot studies have been performed which evaluated the efficacy of an individually tailored and a family-based group behavioral treatment for non-adherence in adolescents with IBD (11,12). Patients in both studies attended a 4 weekly multicomponent treatment protocol targeting educational, organizational, behavioral and family factors. Comparison of medication adherence of the individually tailored treatment

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group with a wait list control group demonstrated that individually tailored treatment resulted in a 4% gain in adherence to thiopurines and a 25% gain in adherence to amino-salicylates (both not significant), measured by pill count (11). Comparison of medication adherence of the group-based behavioral treatment group with a usual care control group demonstrated that group based treatment resulted in a 6% gain in adherence to thiopurines (not significant) and a 25% gain in adherence to aminosalicylates (p<0.01), based on adolescent report. Non-significant differences were found between the conditions with pill count, electronic monitoring and based on parent-reported adherence (12).

Barriers to medication adherence

Perceived barriers to medication adherence have been evaluated in six studies (4,5,9,10,13,16). Barriers were mostly assessed with the earlier mentioned MAM, which includes 12 forced choice questions and 1 open-ended question. Mean number of reported barriers ranged from 2,33 to 3,44, with ‘just forget taking the medication’ being the most common reason for non-adherence. ‘Wasn’t home’ and ‘interferes with activity’ were also frequently reported medication adherence barriers (4,9,10,13). Barriers reported in studies using other forced choice measures were ‘side effects’, ‘feeling well’, ‘no belief in medication regime’ and ‘difficulty swallowing pills’ (5,16). Hommel et al. (9) used an open ended interview to survey barriers to medication adherence. Most frequently reported barriers were ‘forget taking the medication’, ‘interferes with activity’, ‘regimen complexity’ and ‘difficulty swallowing pills’. Schurman et al. assessed reasons for volitional non-adherence which were ‘got better’, ‘wanted better control’ and ‘make routine easier to follow’ (21). Medication regime characteristics play a central role in experiencing different and multiple medication adherence barriers. Adolescents whose regime involved more than 1 daily medication administration reported more adherence barriers than did those whose regimen involved 1 or less than 1 daily medication administration. The same association was found regarding number of daily medications, adolescents on monotherapy reported significantly fewer barriers than adolescents on multiple medications (5). Multiple studies have shown that fewer total reported barriers are related to better medication adherence (5,9,13).

Associations between family and social interactions and medication adherence

Ingerski et al. showed that that the mother has a prime position in managing the IBD medication regime during adolescence. In 89% of the cohort the mother appeared to be the primary responsible person for re-ordering IBD medication, and in 49% the primary person responsible for ensuring that medication is taken (13). Increased maternal involvement in IBD care and less perceived parent-child conflict has been identified as a protective factor for better adherence of over-the-counter medications (20), but not for better adherence of prescribed medication (6,20). Adolescents who were more involved in remembering to

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take their own medications were nearly eight times more likely to be adherent (6). Mackner et al. revealed a significant relationship between medication non-adherence and family dysfunction. Specifically, families with appropriate rules and consequences for behavior had children who were more adherent (17).

Janicke et al. examined the relationship between peer victimization (the experience among children of being the target of emotional, verbal or physical attacks by peers), prosocial support and medication adherence. Peer victimization was negatively associated with reported adherence. Positive social interactions moderated this negative relationship between peer victimization and medication adherence (14).

Associations between psychosocial factors and medication adherence

The relationship between medication adherence and health-related quality of life (HRQoL) has been assessed in two studies (7,21). In both studies the Pediatric Quality of Life Inventory (PedsQL) was used to assess HRQoL. In the study of Hommel et al. non-adherence to 6-MP/AZA, as measured by subtherapeutic 6-TG levels, was significantly related to poorer patient reported physical functioning QoL. In contrast, greater self-reported 5-ASA adherence was related to poorer patient-reported overall psychosocial health QoL, and particularly social functioning QoL (7). In the study of Schurman et al. greater frequency of volitional non-adherence was significantly associated with poorer parent reported psychosocial health QoL (21).

Also poor child coping strategies are associated with worse adherence (17). Three studies used the Children Depression Inventory to assess depressive symptoms. In 15-18.5% of adolescents with IBD clinically elevated depressive symptoms were recorded (7,11). There was no significant correlation found between depressive symptoms and medication adherence (7,17).

Gray et al. found a significant correlation between anxiety/depressive symptoms and medication adherence, and showed that the presence of anxiety/ depressive symptoms intensifies the negative impact of perceived barriers on adolescent’s medication adherence (4).

Discussion AnD Future Directions

In our systematic review we included 18 studies in adolescents with IBD, which were selected for their focus on adherence to thiopurines or aminosalicylates. Pooling of data was not possible, due to lack of methodological robustness and heterogeneity in outcome measures. Nevertheless several important lessons can be drawn from our study.

Non-adherence rates of oral maintenance treatment in adolescents with IBD are elevated, and range from 3% to 73% (4-21). Adolescents with IBD encounter different challenges

(16)

which can interfere with good medication management. The most frequent barriers to medication adherence reported by adolescents and their parents were ‘just forgot’, ‘wasn’t home’ and ‘interferes with activity’. The underlying cause of the reported barriers may vary between adolescents and their families, thereby intervention programs should not consist of an one-size-fits-all approach, but should cover multiple interventions taking into account the needs of the adolescent and their families (9).

Previous research in other pediatric disease groups suggests that continued parental involvement in disease management is essential to maintain appropriate adherence and that premature transition of responsibility from parent to adolescent for disease management tasks may result in decreased adherence over time (26,27). The study of Ingerski et al. clearly showed that the mother has a prime position in managing the IBD medication regime during adolescence (13), however increased maternal involvement in IBD care has not been identified as a protective factor for better adherence of prescribed medication (6,20). Ideally, the disease management should be a shared decision between the adolescent and their parents to minimize the potential for declines in adherence due to parent-teen conflict (4). Adolescents with IBD appear to be at a higher risk of reduced HRQoL and of developing psychiatric conditions such as anxiety or depression compared with their healthy peers (28). Psychosocial dysfunction of adolescents with IBD can lead to medication non-adherence and therefore jeopardize IBD treatment outcome. Therefore, healthcare physicians working with adolescents with IBD should screen for psychosocial problems in adolescents with IBD, such as anxiety, depressive symptoms and impaired HRQoL and support should be offered when necessary.

Implications for clinical practice:

Pediatric IBD patients are treated according to a step-up strategy, indicating that when oral maintenance therapy has failed, due to intolerance or insufficient response, anti-TNF therapy is initiated. Insufficient response to oral maintenance therapy that is actually due to non-adherence can lead to unjustified and too early escalation in therapy, and as a consequence may lead to increase in health costs. The effect of non-adherence on patient clinical outcomes and health care costs has not been established in adolescents with IBD. Research from the adult literature suggests that consequences of medication non-adherence can be severe. Adults who are non-adherent are up to 5.5. times more likely to experience a relapse in symptoms (24) and generate 12.5% greater annual health costs than adherent patients (25). Kamperidis et al. showed that adolescents were more frequent non-adherent than adults (15). This suggests that consequences of medication non-adherence in adolescents with IBD might even be greater.

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Comparison with other reviews:

Two narrative reviews have been published in recent years on the rates of medication non-adherence in adolescents with IBD, perceived barriers to treatment adherence and the impact of psychosocial factors on medication adherence (2,29). Because several studies have been published in the intervening years our systematic review is an important addition to this field of research.

Methodological limitations of the reviewed studies:

The lack of socioeconomic and ethnic diversity in most studies limits generalization to economically disadvantaged or minority populations. Future studies should include more ethnically and socioeconomic diverse groups of adolescents. Furthermore, the limited factors found in the reviewed studies that were significant correlated to medication adherence can be the result of a limited statistical power due to small samples. The majority of studies included patients from a wide age range, with varying disease severity and disease durations, which also may have influenced medication adherence. Control for these confounding factors was not always executed adequate. Moreover, the cross-sectional design of most included studies precludes the ability to make conclusions concerning the causal relations between variables. Future research that is longitudinal in nature would provide valuable insight in the direction and mechanism of the associations found. At last, several studies used only one, subjective method to measure medication adherence. The difference in subjective and objective medication adherence outcome emphasizes the relevance of using a multi-method medication adherence assessment. We advise to use at least two different measures of adherence, including at least one objective measure. Conclusions:

Non-adherence to oral maintenance treatment in adolescents with IBD is a significant health care problem and can lead to unnecessary escalation in therapy. During routine follow up appointments standard evaluation of medication adherence, experienced barriers to adherence, and psychosocial problems are of major importance and should be an integral component of the comprehensive care of children and adolescents with IBD. Early interventions to enhance oral medication adherence, with special attention for individual underlying reasons of non-adherence, should be offered.

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reFerences

1. Logan D, Zelikovsky N, Labay L, et al. The Ilness Management Survey: indentifying adolescents’ perceptions of barriers to adherence. J Pediatr Psychol 2003;28:383-92

2. Hommel KA, Denson LA, Crandall WV, Mackner LM. Behavioral Functioning and Treatment Adherence in Pediatric Inflammatory Bowel Disease: Review and Recommendations for Practice. J Pediatr Gastroenterol Nutr 2008;785-91.

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4. Gray WN, Denson LA, Baldassano RN, et al. Treatment Adherence in Adolescents With Inflammatory Bowel Disease: The Collective Impact of Barriers to Adherence and Anxiety/ Depressive Symptoms. J Pediatr Psychol 2011:1-10

5. Greenley, RN, Stephens M, Doughty A, et al. Barriers to adherence among adolescents with inflammatory bowel disease. Inflamm Bowel Dis 2010;16:36–41

6. Greenley RN, Kunz JH, Biank V, Martinez A, et al. Identifying youth non-adherence in clinical settings: data-based recommendations for children and adolescents with inflammatory bowel disease. Inflamm Bowel Dis. 2012;18:1254-9

7. Hommel KA, Davis CM, Baldassano RN. Medication adherence and quality of life in pediatric inflammatory bowel disease. J Pediatr Psychol 2008;33:867–74

8. Hommel KA, Davis CM, Baldassano RN. Objective versus subjective assessment of oral medication adherence in pediatric inflammatory bowel disease. Inflamm Bowel Dis 2009;15:589–93

9. Hommel KA, Baldassano RN. Brief report: barriers to treatment adherence in pediatric inflammatory bowel disease. J Pediatr Psychol 2010; 35:1005–10

10. Hommel KA, Denson LA, Baldassano RN. Oral medication adherence and disease severity in pediatric inflammatory bowel disease. Eur J Gastroenterol Hepatol 2011;23:250–4

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12. Hommel KA, Hente EA, Odell S, et al. Evaluation of a group-based behavioral intervention to promote adherence in adolescents with inflammatory bowel disease. Eur J Gastroenterol Hepatol 2012;24:64-9

13. Ingerski LM, Baldassano RN, Denson LA, et al. Barriers to oral medication adherence for adolescents with inflammatory bowel disease. J Pediatr Psychol 2010;35:683–91

14. Janicke DM, Gray WN, Kahhan NA, et al. Brief Report: The Association Between Peer Victimization, Prosocial Support, and Treatment Adherence in Children and Adolescents with Inflammatory Bowel Disease. J Pediatr Psychol 2009;34:769-73

15. Kamperidis N, Goodhand JR, Chowdhury FA, et al. Factors associated with non-adherence to thiopurines in adolescent and adult patients with inflammatory bowel disease. J Pediatr Gastroenterol Nutr 2012;54:685-9

16. Kitney L, Turner JM, Spady D, et al. Predictors of medication adherence in pediatric inflammatory bowel disease patients at the Stollery Children’s Hospital. Can J of Gastroenterol 2009;23:811-5 17. Mackner LM, Crandall WV. Oral medication adherence in pediatric inflammatory bowel disease. Inflamm Bowel Dis 2005;11:1006–12

18. Oliva-Hemker MM, Abadom V, Cuffari C, et al. Non-adherence with thiopurine immunomodulator and mesalamine medications in children with Crohn disease. J Pediatr Gastroenterol Nutr 2007;44:180–4

19. Ooi CY, Bohane TD, Lee D, et al. Thiopurine metabolite monitoring in pediatric inflammatory bowel disease. Aliment Pharmacol Ther 2007;25:941–7

20. Reed-Knight B, Lewis JD, Blount RL. Association of disease, adolescent, and family factors with medication adherence in pediatric inflammatory bowel disease. J Pediatr Psychol 2011;36:308–17 21. Schurman JV, Cushing CC, Carpenter E, et al. Volitional and accidental non-adherence to pediatric inflammatory bowel disease treatment plans: initial investigation of associations with quality of life and disease activity. J Pediatr Psychol 2011;36:116–25

22. Hommel KA, Odell S, Sander E, et al. Treatment adherence in paediatric inflammatory bowel disease: perceptions from adolescent patients and their families. Health Soc Care Community 2011;19:80–8

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23. Zelikovsky N, Schast AP. Eliciting accurate reports of adherence in a clinical interview: Development of the Medical Adherence Measure. Pediatr Nurs 2008;34:141-6

24. Kane S, Huo D, Aikens J, et al. Medication non-adherence and the outcomes of patients with quiescent ulcerative colitis. Am J Med 2003;114:39-43

25. Higgins PDR, Rubin DT, Kaulback K, et al. Systematic review: Impact of non-adherence to 5- aminosalicylic acid products on the frequency and cost of ulcerative colitis flares. Aliment Pharmacol Ther 2009:29:247-57

26. Wysocki T, Harris MA, Buckloh LM et al. Effects of behavioral family systems therapy for diabetes on adolescents’family relationships, treatment adherence, and metabolic control. J Ped Psychol 2006;31:928-38

27. Ellis D, Podolski C, Frey M, et al. The role of parental monitoring in adolescent health outcomes: Impact on regimen adherence in youth with type 1 diabetes. J Ped Psychol 2007;32:907-17 28. Ross SC, Strachan J, Russell RK, et al. Psychosocial functioning and Health-related Quality of Life in Paediatric Inflammatory Bowel Disease. J Pediatr Gastroenterol Nutr 2011;53:480-8 29. Hommel KA, Mackner LM, Lee AD et al. Treatment regimen adherence in pediatric gastroenterology. J Pediatr Gastroenterol Nutr 2008;47:526-43

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