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. 2019 Sep 25;15(3):236–245. doi: 10.1159/000500771

Assessment of Quality of Life in Postmenopausal Women with Early Breast Cancer Participating in the PACT Trial: The Impact of Additional Patient Information Material Packages and Patient Compliance

Christian Jackisch a,*, Rolf Kreienberg b, Maria Blettner c, Nadia Harbeck d, Hans-Joachim Lück e, Renate Haidinger f, Doris C Schmitt g, Hilde Schulte h, Christine Windemuth-Kieselbach i, Silke Zaun j, Peyman Hadji k
PMCID: PMC7383248  PMID: 32774217

Abstract

Background

Breast cancer patients' self-understanding of their disease can impact their quality of life (QoL); the relationship between compliance and QoL is poorly understood.

Patients and Methods

The Patient's Anastrozole Compliance to Therapy (PACT) program, a prospective, randomized study, investigated the effect of additional patient information material (IM) packages on compliance with adjuvant aromatase inhibitor (AI) therapy in postmenopausal women with hormone receptor-positive early breast cancer. The QoL subanalysis presented here examined the impact of IM packages on QoL and the association between QoL and compliance. European Organization for Research and Treatment of Cancer (EORTC) QLQ-C30 and QLQ-BR23 questionnaires were completed at baseline, 12 and 24 months, or study termination to assess health-related QoL and disease-related symptoms.

Results

Of the 4,844 patients randomized to standard therapy or standard therapy + IM packages (1:1), 4,253 were available for QoL analysis. No difference in QoL was observed between groups at baseline. IM packages did not have a statistically significant impact on patient QoL at the 12- or 24-month follow-up. Compliant patients experienced improvement in multiple items across the QLQ-C30 and QLQ-BR23 scales at 12 months. However, those results should be interpreted carefully due to limitations in the statistical analyses.

Conclusions

Provision of IM packages did not influence patients' QoL or satisfaction with care during AI therapy. Compliant patients appear to experience improved QoL compared to noncompliant patients, perhaps indicating a more self-empowered perception of their condition.

Keywords: Aromatase inhibitors, Breast cancer, Compliance, Endocrine therapy, Intervention

Background

The evaluation of breast cancer patients' quality of life (QoL) is an important aspect of clinical trials [1]. The QoL of postmenopausal women receiving endocrine therapy for hormone receptor-positive early breast cancer has been found to depend on the prescribed treatment. Tamoxifen is associated with adverse events (AE) and side effects known to impact the QoL, including hot flushes, night sweats, and vaginal discharge [2, 3, 4, 5]. By contrast, joint symptoms and myalgia are frequently reported by patients undergoing treatment with aromatase inhibitors (AI) [6]. Although clinical trials with AI have garnered superior efficacy results compared to tamoxifen in this population [5, 7], no significant differences in terms of QoL have been observed [8, 9].

In addition, the reporting of QoL outcomes and the integration and consideration of these findings in routine clinical practice are inconsistent [1]. For example, physician- and patient-based reporting of AE has been shown to vary [10]. Life-threatening AE, or those for which there is an applicable intervention, tend to be monitored by physicians, but hormone-related AE are often underreported [2]. Nevertheless, hot flushes, night sweats, and fatigue can all impact the QoL, and it has been observed that AE affecting patients' QoL can influence patients' compliance with treatment [11, 12, 13]. Especially specific symptoms such as treatment-related pain have been associated with discontinuation and can seriously impact the QoL [9, 14, 15]. Therefore, information and management of hormone-related AE in order to sustain therapy adherence are of great importance. In fact, education of patients can significantly improve the patient QoL and in turn patient adherence [12]. By providing patient information material (IM), patients' knowledge about the medical condition through information about the diagnosis, risk factors, AE, and the prognosis is thought to be increased. [12]. As a result, a better understanding of the disease and in turn a diminished perception of powerlessness might affect different aspects of QoL.

There is a limited understanding of how QoL relates to compliance with medication and how it is influenced by the patient's self-understanding of their disease. Although it is often assumed that, due to the serious nature of their disease, patients with cancer will be compliant with their medication, this is often not the case [11, 16, 17]. In particular, adjuvant endocrine therapy is associated with poorer compliance rates than chemotherapy and radiotherapy [18]. The 1-year adherence rate ranges between 69 and 86% for AI [19, 20, 21]. Furthermore, the more prescription medications a patient receives, the poorer the level of compliance with medication is overall [22]. It is reasonable to assume that women with postmenopausal breast cancer will be taking additional treatments alongside their breast cancer medication, which could have a detrimental impact on compliance. Compliance with therapy maximizes the benefit (lower recurrence rate and improved overall survival) of the treatment and may subsequently increase the perceived QoL [12]. On the other hand, it has been shown that the presence of symptoms or a poor QoL at baseline can influence the occurrence of pain during therapy and in turn treatment continuation [9, 14, 15]. Moreover, changes in QoL influence a woman's decision to discontinue a therapy [23].

The Patient's Anastrozole Compliance to Therapy (PACT) program was designed to assess whether the provision of additional standardized patient IM packages throughout the first year of adjuvant therapy enhanced persistence and compliance in 4844 postmenopausal women with early breast cancer receiving anastrozole as the initial therapy in a real-life clinical setting [24, 25]. The term adherence is now commonly used to describe patient medication-taking behavior; however, in line with the predefined study endpoints, this paper will report on compliance and persistence.

The purpose of this PACT QoL explorative subanalysis was to examine the relationship between compliance with AI medication and perceived QoL. We also investigated whether the provision of IM packages was associated with changes in QoL. QoL over time was also assessed up to a 24-month follow-up.

Methods

Study Design

PACT was a prospective, multicenter, nationwide, randomized, open, parallel-group study (NCT00555867) [24]. Postmenopausal patients with early breast cancer were recruited at 109 certified breast cancer centers/clinics across Germany in cooperation with 1,361 office-based gynecologists and oncologists. Patients scheduled for adjuvant endocrine therapy were randomized 1:1 to receiving standard therapy (anastrozole 1 mg once daily) or standard therapy plus additional patient IM packages by post. Patients underwent all further investigations and treatments deemed necessary according to the current standards of care at that time.

In addition to standard therapy, patients randomized to the IM package arm received 9 letters and brochures developed in close collaboration with breast cancer survivors and advocates by mail during the first year of therapy, plus gift items of low monetary value (e.g., a 7-day tablet box). Details on the IM packages have been published elsewhere [25]. They were designed to deal with issues likely to be of relevance at specific points in time during therapy, such as side effects, sexuality, exercise, and diet, with the aim of motivating participants to take their medication regularly.

The study population and full inclusion and exclusion criteria have been described previously [24, 25].

Study Endpoints

The primary aim of the PACT study was to investigate whether the provision of IM packages in the first year of adjuvant endocrine therapy improved patient compliance and persistence versus standard treatment practices.

The present QoL exploratory analyses were performed to investigate whether the provision of IM packages impacted the patient health-related QoL and disease-related symptoms and whether QoL was associated with AI compliance.

Data Collection

Details on the collection of compliance data and AE reporting have been described elsewhere [24, 25].

Patients' self-reported health-related QoL and disease-related symptoms were assessed at baseline and after 12 and 24 months, or at treatment termination, using the European Organization for Research and Treatment of Cancer (EORTC) QLQ-C30 [26] and EORTC QLQ-BR23 [27] questionnaires. The EORTC QLQ-C30 comprises 6 functional scales assessing physical functioning, role functioning, emotional functioning, cognitive functioning, and social functioning, plus the global health status/QoL. In addition, single- and multi-item scales of the EORTC QLQ-C30 assessed the physical and financial impact of the disease and treatment, including measurements of fatigue, nausea and vomiting, pain, dyspnea, sleep disturbance, appetite loss, constipation, diarrhea, and financial impact. The 4 functional scales of the EORTC QLQ-BR23 assessed body image, sexual functioning, sexual enjoyment, and future perspectives. Single- and multi-item scales assessed patients' physical symptoms, including systemic therapy symptoms, breast symptoms, arm symptoms, and hair loss.

Data were collected over a 24-month period. This paper presents the QoL results for patients at baseline and 12 months, as well as at 24 months of follow-up.

Statistical Analysis

Compliance and persistence were evaluated via patient self-reporting. A patient could only be classified as compliant if she scored 80–100% when questioned about her daily intake of adjuvant endocrine therapy and when all prescription information (documented by the investigator) was consistently available for the treatment period. A patient was classified as persistent when case report form documentation, independently of the compliance evaluation, supported the intake of anastrozole during the full 12-month period. Full details of the statistical methodology have been reported previously [24, 25].

QoL was analyzed for all patients who were available for primary endpoint analysis and returned a QoL questionnaire at baseline, 12 months (defined as between 9 and 18 months), and 24 months (defined as between 21 and 30 months).

In accordance with the EORTC manual, if >50% of the questionnaire item responses were missing, all items for that respective patient were set to missing. If <50% of the questionnaire item responses were not available, only the single items not available were set to missing. For the QLQ-C30 and QLQ-BR23, raw scores from the individual items were summed and subsequently divided by the number of items within the scale. The resulting scores were linearly transformed to produce a scale range of 0–100. For the functional scales of QLQ-C30 and QLQ-BR23, a higher score represented a higher level of functioning. For the physical symptom single- and multi-item scales of the QLQ-C30 and QLQ-BR23, a higher score represented a higher level of symptomatology/problems.

The impact of patients receiving chemotherapy prior to inclusion in the study on QoL was analyzed using the Wilcoxon test. In addition, the impact of prior chemotherapy on the occurrence of fatigue and arthralgia was analyzed using the χ2 test.

Results

Patients

From October 2006 to November 2008, a total of 4,923 postmenopausal women who initiated adjuvant endocrine (anastrozole) therapy were enrolled into PACT. Of the 4,897 patients screened, 4,844 were randomized 1:1 to standard therapy (n = 2,402) or standard therapy plus IM packages (n = 2,442) and 2,740 patients were evaluable for primary endpoint analysis (compliance and persistence at the 12-month follow-up) [25]. In total, 4,253 ­patients completed at least 1 QoL questionnaire (online suppl. Fig. 1; for all online suppl. material, see www.karger.com/doi/10.1159/000500771). The baseline demographics and tumor characteristics for these patients are presented in Table 1. Full patient demographics as well as the primary endpoint analysis have been described previously [24, 25].

Table 1.

Demographic and tumor characteristics at baseline for patients who completed at least 1 QoL questionnaire

Standard arm (n = 2,114) IM package arm (n = 2,139) Total (n = 4,253)
Baseline characteristic
Age
 ≤65 years 1,035 (49.0) 1,000 (46.8) 2,035 (47.8)
 >65 years 1,079 (51.0) 1,139 (53.2) 2,218 (52.2)
ECOG PS (Karnofsky scale)
 0 (100%) 1,190 (56.29) 1,196 (55.91) 2,386 (56.1)
 1 (80–90%) 825 (39.03) 838 (39.18) 1,663 (39.1)
 ≥2 (10–70%) 82 (3.88) 94 (4.39) 176 (4.13)
 Not disclosed 17 (0.8) 11 (0.51) 28 (0.66)
BMI
 <25 774 (36.6) 776 (36.3) 1,550 (36.4)
 25–30 803 (38.0) 801 (37.5) 1,604 (37.7)
 >30 526 (24.9) 545 (25.5) 1,071 (25.2)
 Not disclosed 11 (0.5) 17 (0.8) 28 (0.7)
Additional tablets
 0 (n/day) 52 (2.5) 43 (2.0) 95 (2.2)
 1–2 (n/day) 582 (27.5) 623 (29.1) 1,205 (28.3)
 3–5 (n/day) 404 (19.1) 402 (18.8) 806 (19.0)
 6–10 (n/day) 174 (8.2) 197 (9.2) 371 (8.7)
 >10 (n/day) 40 (1.9) 37 (1.7) 77 (1.8)
 Not disclosed 862 (40.8) 837 (39.1) 1,699 (40.0)
Concomitant conditions (in >5% of the total patientsa)
 Cardiovascular system 949 (24.2) 1,016 (25.0) 1,965 (24.6)
 Thyroid disorder 447 (11.4) 431 (10.6) 878 (11.0)
 Other (undisclosed) 370 (9.4) 368 (9.1) 738 (9.2)
 Joint pain 240 (6.1) 272 (6.7) 512 (6.4)
 Back pain 242 (6.2) 251 (6.2) 493 (6.2)
 Other types of angiopathy 218 (5.6) 231 (5.7) 449 (5.6)
 Diabetes 199 (5.1) 223 (5.5) 422 (5.3)
Tumor characteristicb
Tumor grade n = 2,193 n = 2,194 n = 4,387
estimable tumors estimable tumors estimable tumors
 G1 298 (13.6) 304 (13.9) 602 (13.7)
 G2 1,467 (66.9) 1,457 (66.4) 2,924 (66.7)
 G3 406 (18.5) 414 (18.9) 820 (18.7)
 Not determined 22 (1.0) 19 (0.9) 41 (0.9)
T stage n = 2,193 n = 2194 n = 4,387
estimable tumors estimable tumors estimable tumors
 pT0 15 (0.7) 14 (0.6) 29 (0.7)
 pT1 1,250 (57.0) 1,250 (57.0) 2,500 (57.0)
 pT2 784 (35.8) 784 (35.7) 1,568 (35.7)
 ≥pT3 123 (5.6) 124 (5.6) 247 (5.6)
 Other/not determined 21 (1.0) 22 (1.0) 43 (1.0)
Nodal status n = 2,193 n = 2,194 n = 4,387
estimable tumors estimable tumors estimable tumors
 pN0 1,379 (62.9) 1,400 (63.8) 2,779 (63.4)
 pN1 511 (23.3) 494 (22.5) 1,005 (22.9)
 ≥ pN2 263 (12.0) 244 (11.1) 507 (11.6)
 Other/not determined 40 (1.8) 56 (2.6) 96 (2.2)
ER status n = 2,190 n = 2194 n = 4,348
estimable tumors estimable tumors estimable tumors
 ER+ 2,145 (98.0) 2,153 (98.1) 4,298 (98.9)
PgR status n = 2,189 n = 2189 n = 4,378
estimable tumors estimable tumors estimable tumors
 PgR+ 1,942 (88.7) 1,954 (89.3) 3,896 (89.0)
HER2 status by ICH n = 2,058 n = 2,061 n = 4,119
estimable tumors estimable tumors estimable tumors
 2+ 188 (9.1) 166 (8.1) 351 (8.5)
 3+ 175 (8.5) 184 (8.9) 359 (8.7)
HER2 status by FISH/CISH n = 435
estimable tumors
n = 416
estimable tumors
n = 851
estimable tumors
HER2 positive 60 (13.8) 48 (11.5) 108 (12.7)

Values are presented as numbers (%). ER, PgR, and HER2 status were not assessed for all tumor localizations. CISH, chromogenic in situ hybridization; ECOG PS, Eastern Cooperative Oncology Group performance status; ER, estrogen receptor; FISH, fluorescence in situ hybridization; HER2, human epidermal growth factor receptor 2; IHC, immunohistochemistry; PgR, progesterone receptor.

a

Reported as a proportion of the total concomitant conditions (n = 7,991); multiple answers are possible.

b

A total of 134 of 4,253 patients had bilateral disease; therefore, tumor characteristics were assessed for 4,387 tumors.

Patient QoL Analysis According to Provision of IM Packages

EORTC QLQ-C30 Scales

At baseline, patients in the IM package arm reported a higher level of financial problems than patients in the standard arm (23.14 vs. 26.18; p =0.01; Table 2). Across all other items of the QLQ-C30 symptom scales, no statistically significant differences in baseline scores were observed between arms. Furthermore, no statistically significant differences were observed at the 12- and 24-month follow-ups.

Table 2.

EORTC QLQ-C30 and QLQ-BR23 scores at baseline and the 12- and 24-month follow-ups by study arm

Baseline, [n] Mean (SD) 12 months, [n] Mean (SD) 24 months, [n] Mean (SD)
EORTC QLQ-C30
Functional scale
Physical functioning
 Standard arm [1,990] 73.01 (21.55) [1,299] 74.91 (21.61) [724] 76.91 (19.94)
 IM package arm [2,010] 72.70 (22.11) [1,362] 75.27 (75.27) [705] 76.63 (21.02)
Role functioning
 Standard arm [1,974] 57.08 (31.45) [1,288] 68.72 (29.28) [722] 71.98 (28.52)
 IM package arm [1,993] 58.15 (31.88) [1,353] 68.66 (29.65) [701] 71.35 (28.64)
Emotional functioning
 Standard arm [1,986] 59.07 (26.68) [1,287] 64.09 (27.00) [723] 68.23 (25.84)
 IM package arm [2,004] 58.71 (26.61) [1,357] 63.53 (27.07) [702] 66.24 (25.73)
Cognitive functioning
 Standard arm [1,989] 77.76 (26.34) [1,293] 75.42 (27.06) [724] 76.36 (25.13)
 IM package arm [2,007] 77.41 (26.51) [1,362] 74.47 (27.34) [702] 77.71 (25.41)
Social functioning
 Standard arm [1,983] 67.61 (30.45) [1,290] 73.93 (29.11) [722] 78.51 (26.56)
 IM package arm [1,998] 67.49 (30.36) [1,364] 74.74 (27.85) [700] 78.31 (26.53)
Global health status/QoL
 Standard arm [1,966] 56.21 (21.58) [1,279] 62.48 (21.78) [707] 64.59 (21.58)
 IM package arm [1,985] 57.03 (20.55) [1,346] 62.96 (21.42) [692] 64.08 (22.31)
Symptom scale
Fatigue
 Standard arm [1,983] 45.62 (45.62) [1,292] 41.31 (27.67) [722] 37.47 (27.22)
 IM package arm [2,001] 45.26 (28.85) [1,355] 41.48 (28.09) [699] 37.70 (27.21)
Nausea and vomiting
 Standard arm [1,983] 9.62 (19.30) [1,286] 6.16 (14.52) [721] 5.59 (13.98)
 IM package arm [1,996] 10.50 (20.41) [1,356] 6.21 (15.00) [697] 5.09 (13.07)
Pain
 Standard arm [1,989] 33.32 (29.82) [1,298] 34.53 (31.82) [724] 30.71 (30.91)
 IM package arm [2,005] 32.04 (29.81) [1,360] 34.13 (31.42) [699] 31.33 (30.41)
Dyspnea
 Standard arm [1,962] 28.66 (32.47) [1,283] 30.68 (33.02) [716] 28.91 (31.69)
 IM package arm [1,973] 28.55 (32.84) [1,341] 29.65 (32.40) [691] 29.18 (31.68)
Sleep disturbance
 Standard arm [1,973] 43.76 (35.83) [1,288] 48.50 (36.17) [720] 46.81 (35.84)
 IM package arm [1,992] 44.81 (35.79) [1,350] 49.95 (36.39) [703] 47.32 (36.75)
Appetite loss
 Standard arm [1,986] 20.76 (30.16) [1,292] 10.76 (23.00) [723] 9.91 (21.38)
 IM package arm [2,002] 21.18 (30.83) [1,357] 11.25 (23.73) [701] 10.41 (21.48)
Constipation
 Standard arm [1,968] 17.90 (30.11) [1,282] 14.72 (27.06) [718] 13.97 (25.35)
 IM package arm [1,986] 18.18 (29.31) [1,341] 15.71 (27.71) [689] 14.61 (25.78)
Diarrhea
 Standard arm [1,969] 11.14 (23.52) [1,273] 10.66 (22.91) [719] 10.29 (22.51)
 IM package arm [1,981] 11.36 (23.68) [1,347] 10.37 (22.27) [696] 8.62 (20.05)
Financial impact
 Standard arm [1,896] 26.18 (32.39)* [1,204) 22.56 (30.36) [678] 18.63 (28.16)
 IM package arm [1,909] 23.14 (30.15)* [1,283] 21.54 (29.43) [654] 18.09 (28.05)
EORTC QLQ-BR23
Functional scale
Body image
 Standard arm [1,968] 72.17 (29.96) [1,276] 76.38 (27.76) [703] 78.96 (26.01)
 IM package arm [1,979] 72.03 (29.65) [1,332] 77.22 (27.90) [686] 79.31 (26.14)
Sexual functioning
 Standard arm [1,784] 18.50 (24.75) [1,129] 22.69 (26.35) [622] 21.44 (25.76)
 IM package arm [1,822] 18.21 (24.05) [1,182] 22.07 (25.73) [600] 21.56 (25.28)
Sexual enjoyment
 Standard arm [500] 49.27 (34.76) [370] 50.45 (33.40) [189] 51.68 (33.40)
 IM package arm [499] 49.97 (33.82) [389] 51.33 (32.23) [196] 48.98 (31.91)
Future perspectives
 Standard arm [1,969] 35.80 (32.80) [1,281] 48.58 (33.77) [704] 55.16 (32.71)
 IM package arm [1,987] 35.06 (32.86) [1,335] 48.64 (33.75) [690] 54.40 (33.08)
Symptom scale
Systemic therapy symptoms
 Standard arm [1,973] 31.01 (23.19) [1,287] 27.74 (18.76) [709] 26.66 (19.53)
 IM package arm [1,993] 31.13 (23.21) [1,345] 28.46 (19.82) [692] 26.53 (19.25)
Breast symptoms
 Standard arm [1,952] 29.53 (24.20) [1,267] 22.21 (20.78) [687] 18.80 (19.13)
 IM package arm [1,967] 28.14 (23.82) [1,326] 22.80 (21.19) [681] 18.53 (19.77)
Arm symptoms
 Standard arm [1,947] 30.19 (26.18) [1,264] 32.87 (27.51) [689] 29.06 (27.56)
 IM package arm [1,966] 28.78 (25.43) [1,325] 31.36 (27.71) [680] 28.49 (26.84)
Hair loss
 Standard arm [884] 56.86 (39.40) [511] 48.27 (38.50) [330] 49.09 (39.68)
 IM package arm [882] 59.18 (59.18) [549] 47.18 (38.56) [312] 46.26 (37.90)

For the functional scales, a higher score was representative of a higher level of functioning. For the physical symptom single- and multi-item scales, a higher score was representative of a higher level of symptomatology/problems. * Significant change (p = 0.0116).

EORTC QLQ-BR23 Scales

At baseline, no statistically significant differences in any items of the QLQ-BR23 symptom scales were observed between the standard and IM package arms (Table 2). Follow-up analysis at both 12 and 24 months demonstrated no statistically significant differences for any items of the functional scale between arms.

QoL According to Patient Compliance

Analysis of QoL between compliant and noncompliant patients was performed at the 12-month follow-up using the questionnaires returned by the 2,740 patients in whom the primary analysis was conducted.

For the QLQ-C30 functional scales, compliant patients reported statistically significantly higher scores in emotional functioning (p = 0.03), cognitive functioning (p = 0.007), social functioning (p =0.009), and global health status/QoL (p =0.03) than noncompliant patients (Fig. 1a). Analysis of the QLQ-C30 symptom scale showed that compliant patients had statistically significantly lower scores for fatigue and sleep disturbance than noncompliant patients (fatigue: 40.92 vs. 45.17; p =0.01; sleep disturbance: 53.13 vs. 48.75; p =0.049; Fig. 1a), indicating a lower level of symptoms. No other symptoms were associated with compliance.

Fig. 1.

Fig. 1

QoL according to patient compliance at 12 (a, b) and 24 months (c, d). QoL measured according to: the EORTC QLQ-C30 (a, c) and the EORTC QLQ-BR23 (b, d). Functional scales: a higher scale score represents a higher level of functioning. Symptom scales: a higher score represents a higher level of symptomatology/problems. * p < 0.05. ** p < 0.01.

Compliant patients reported statistically significantly lower scores for systemic therapy symptoms (p =0.001), as recorded via the QLQ-BR23 symptom scale, than noncompliant patients, indicating a lower level of symptoms (Fig. 1b). Analysis of the QLQ-BR23 functional scales did not show an association between symptoms and compliance.

Analysis of QoL between compliant and noncompliant patients at the 24-month follow-up showed that compliant patients reported a statistically significantly lower financial impact (p =0.02) on the QLQ-C30 than noncompliant patients (Fig. 1c). No statistically significant differences between compliant and noncompliant patients were apparent for any other items on either scale (Fig. 1c, d).

Effect of Prior Chemotherapy

Statistically significant relationships were found between prior chemotherapy and occurrence of arthralgia (p =0.0097), occurrence of fatigue (p =0.0034), and QoL concerning fatigue (p =0.015). Patients who had received chemotherapy prior to inclusion in the study were more likely to report arthralgia symptoms, but less likely to report fatigue, and the impact of fatigue on QoL was lower compared with patients who had not received prior chemotherapy.

Discussion

In this prospective trial we analyzed the impact of the provision of patient IM packages on QoL in postmenopausal early breast cancer patients receiving adjuvant AI therapy. Our own previous data from the PACT trial showed that IM packages do not significantly influence patients' compliance [25]. Nonetheless, we assumed that they might influence QoL as they were designed specifically to cover many aspects of QoL affected by AI therapy, including fatigue, lymphedema, anxiety, depression, and sexuality. However, these did not seen to impact patients' QoL or satisfaction with care. Across both of the functional and symptom scales (QLQ-C30 and QLQ-BR23) used to evaluate QoL, similar scores for the standard and IM package arms were observed at baseline and both follow-up analyses. Therefore, no considerable influence of IM packages on QoL was observed. Patients who have a better understanding of their condition are expected to be more likely to report AE, due to an ability to connect symptoms with treatment. This enables physicians to respond more appropriately to their patients' needs [12]. However, IM packages were not seen to impact the QoL in the PACT trial. As the patients participating in PACT were a selected patient population actively participating in a study, they may have already had a good level of understanding of their disease, thereby minimizing the impact of the IM packages. Scores at baseline may also have impacted the result. While consistent with other clinical studies [28], the PACT QoL baseline scores may be better than those observed in daily clinical practice. It is also worth considering that the IM packages may not have adequately addressed the actual AE experienced, leaving patients unable to identify the AE as artefacts of their treatment.

A further exploratory analysis of the study aimed to investigate the relationship between compliance with AI medications and perceived QoL. Compliant patients may have a greater belief in the efficacy of their treatment and its ability to reduce the risk of disease recurrence, compared with noncompliant patients [11]. This perceived benefit of treatment should drive compliance with the medication and could lead to improvements in patients' perceived outcomes and QoL. This was observed in the PACT study, with compliant patients at 12-month follow-up reporting better outcomes in various symptoms versus non-compliant patients. As the data were not corrected for multiple testing, the statistically significant ­results might however have been observed by chance. Therefore, the data have to be interpreted carefully. Compliant patients could have a greater willingness to accept their disease and treatment-associated AEs compared with non-compliant patients. The QoL data from the ATAC trial suggest that there may be a relationship between compliance and QoL. At 2-year follow-up, patients reported improved QoL compared with baseline and were also shown to be compliant in completing their QoL questionnaires, with 85% of questionnaires completed at each follow-up visit [8]. The level of compliance for completing QoL questionnaires is mirrored in the overall compliance results for ATAC [29], which are similar to those reported in PACT. However, the 12-month results from our study were not mirrored in the 24-month analysis; a statistically significantly lower financial impact for compliant patients versus noncompliant patients was the only difference observed at that time point. Nonetheless, the evaluation of compliance to endocrine therapy is still complex as it depends on various factors, such as AE, polypharmacy, negative changes in menopause-specific QoL, disease-related knowledge, and symptoms before treatment start [9, 15, 23]. Due to this multiplicity and complexity of influencing factors, a more comprehensive investigation is needed.

Arthralgia and fatigue are recognized AE of AI therapy [30] and patients reporting these AE are expected to have a reduced QoL. In PACT, patients reported a worsening of arm symptoms at 12 months, followed by a slight improvement at 24 months regardless of whether IM packages were provided. Fatigue was seen to decrease between baseline and 24 months in both study arms. Patients who were considered compliant reported statistically significantly lower levels of arm symptoms and fatigue compared to noncompliant patients. Our findings confirm the data of Laroche et al. [14], who observed an association of prior taxanes with AI-induced arm symptoms. However, it should be noted that patients with prior chemotherapy were statistically more likely to report arthralgia symptoms than those without prior chemotherapy and statistically less likely to report fatigue than patients without prior chemotherapy.

Conclusions

PACT is the first prospective study to assess the influence of patient IM packages on compliance with adjuvant endocrine therapy in postmenopausal women with hormone receptor-positive early breast cancer. This observational study design is likely to more accurately reflect a real-life clinical setting than clinical trials. Our data showed that IM packages provide no benefit on compliance with AI therapy and QoL and, therefore, the PACT trial has not met these endpoints. These findings suggest that IM packages do not sufficiently replace personal physician-patient interaction and care. The pos­itive relationship between compliance and QoL is an ­interesting finding. However, it requires further char­acterization as a mutual influence cannot be excluded. Compliant patients might either experience an improved QoL, or have a greater acceptance of their disease and its associated AE, thereby minimizing their perceived impact on QoL. It indicates that these patients recognize the benefits and limitations of their medication. This result should be considered both by physicians in routine clinical practice and by investigators in the design of future clinical trials.

Statement of Ethics

This study was approved by the ethics committee of Ulm (reference No. 1033GR/0002/[PACT]) and all appropriate local ethics committees and it was performed in accordance with the Declaration of Helsinki and International Committee on Harmonization Guidelines for Good Clinical Practice. Informed consent was obtained from all of the individual participants included in the study.

Availability of Data and Material

The data that support the findings of this study can be requested from the study sponsor, AstraZeneca, via the Data Request Portal (https://astrazenecagroup-dt.pharmacm.com/DT/Home). The request will be evaluated and reviewed by AstraZeneca on a case-by-case basis.

Disclosure Statement

C.J. has received advisory board fees, honoraria, and payment for the development of patient IM packages from AstraZeneca, Roche, Novartis, and Pfizer. R.K. has received advisory board fees from AstraZeneca. M.B. has received consultancy fees from AstraZeneca. N.H. has received consultancy fees and payment for development of IM packages presentations. H.-J.L. has received advisory board fees from AstraZeneca, Novartis, Roche, Tesaro, and Pfizer and speaker's bureau fees from Roche, AstraZeneca, Pfizer, and Novartis. C.W.-K. has received clinical research organization fees from AstraZeneca. S.Z. is a former employee of AstraZeneca. P.H. has received advisory board fees, consultancy fees, lecture fees, travel reimbursements, and research grants from AstraZeneca. R.H., D.C.S., and H.S. declare that they have no competing interests.

Funding Source

This study was sponsored by AstraZeneca.

Author Contributions

C.J. participated in the conception and design of the study, development of methodology, acquisition, analysis, and interpretation of data, writing, review, and revision of this paper, and the statistical analysis. R.K. participated in the conception and design of the study, development of methodology, acquisition, analysis, and interpretation of data, writing, review, and revision of this paper, and study supervision. M.B. participated in the conception and design of the study, writing, review, and revision of this paper, and the statistical analysis. N.H. participated in the conception and design of the study, acquisition, analysis, and interpretation of data, writing, review, and revision of this paper, and study supervision and was a member of the steering committee. H.-J.L. participated in acquisition of data and review and revision of this paper. R.H. participated in the conception and design of the study and writing, review, and revision of this paper and provided administrative, technical, or material support. D.C.S. and H.S. participated in writing, review and revision of this paper. C.W.-K. participated in analysis and interpretation of data, writing, review, and revision of this paper, and the statistical analysis. S.Z. participated in the conception and design of the study, analysis and interpretation of data, and writing, review, and revision of this paper and provided administrative, technical, or material support. P.H. participated in the conception and design of the study, development of methodology, acquisition, analysis, and interpretation of data, writing, review, and revision of this paper, and study supervision. All of the authors read and approved the final version of this paper.

Supplementary Material

Supplementary data

Supplementary data

Acknowledgement

The authors would like to thank the patients who participated in the study, their fellow investigators, and the patient advocates involved in developing the IM packages (Annette Rexrodt von Fircks, Doris C. Schmitt, Hilde Schulte, Rita-Rosa Martin, and Renate Haidinger).

Medical writing services were funded by AstraZeneca and were provided by Lucy Turner of iMed Comms, Macclesfield, UK, an Ashfield Company, part of UDG Healthcare plc, and by Sonja Hartmann, Alcedis GmbH, Giessen, Germany.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary data

Supplementary data

Data Availability Statement

The data that support the findings of this study can be requested from the study sponsor, AstraZeneca, via the Data Request Portal (https://astrazenecagroup-dt.pharmacm.com/DT/Home). The request will be evaluated and reviewed by AstraZeneca on a case-by-case basis.


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