Implications of sperm banking for health-related quality of life up to 1 year after cancer diagnosis.

BACKGROUND: Sperm banking is recommended for all men diagnosed with cancer where treatment is associated with risk of long-term gonadatoxicity, to offer the opportunity of fatherhood and improved quality of life. However, uptake of sperm banking is lower than expected and little is known about why men refuse. Our aims were to determine: (i) demographic and medical variables associated with decisions about banking and (ii) differences in quality of life between bankers and non-bankers at diagnosis (Time 1 (T1)) and 1 year later (Time 2 (T2)).
METHODS: Questionnaires were completed by 91 men (response rate=86.67%) at T1 and 78 (85.71% response rate) at T2.
RESULTS: In all, 44 (56.41%) banked sperm. They were younger and less likely to have children than non-bankers. In a subset of men who were not sure if they wanted children in the future (n=36), 24 banked sperm. Among this group, those who banked were younger, more satisfied with clinic appointments and less worried about the health of future children. At T2, there were no differences in quality of life between bankers and non-bankers.
CONCLUSION: For those who are uncertain about future reproductive plans, decisions depend on their health on diagnosis and satisfaction with clinic care. We conclude that extra care should be taken in counselling younger men who may have given little consideration to future parenting. Results support previous findings that the role of the doctor is vital in facilitating decisions, especially for those who are undecided about whether they wanted children in the future or not.

Survival rates for most cancers continue to improve, but physical and psychological late effects are increasingly recognised (Ganz, 2010), including risks of infertility (Wallace and Thomson, 2003; Pacey, 2007). As infertility cannot always be predicted, it is recommended that sperm banking is offered to all postpubertal male subjects where there is a risk of long-term gonadal damage (National Collaborating Centre for Women's and Children's Health, 2004; ESHRE, 2004; Lee ; Royal College of Physicians, 2007). In this way, men who survive cancer have the opportunity to father a child after treatment with positive implications for their health-related quality of life (HRQoL).

Although young men diagnosed with cancer are concerned about the risk of infertility (Schover ; Tschudin and Bitzer, 2009), data indicate that sperm banking services are underutilised (Pacey and Eiser, 2011). Previous work (Magelssen ; Girasole ; Klosky ) suggests only 24–31% of men accept the opportunity to bank sperm at diagnosis. The most common reasons to decline the offer of banking sperm are not wanting children in the future, and prior sterilisation of them (vasectomy) or their partner (tubal ligation). Those who are single at the time of diagnosis feel too old to have children or are advised that sperm banking is not necessary are also less likely to bank (Gilbert ; Quinn ). Concern about treatment delays (Schover ) and pressures to begin cancer treatment quickly may cause decisions about sperm banking to be hurried or poorly considered (Zapzalka ; Schover ). Some men are concerned about abnormalities and teratogenic risk for children born from frozen sperm (Lass ), and this may influence their decision to accept the offer.

Conversely, those who do decide to bank sperm are typically of higher socioeconomic status (Klosky ), younger, less likely to have children before diagnosis (Schover ) and more optimistic about survival (Achille ). Yee found a major factor in men's decision to bank was future family planning and others commented on the psychological benefits of banking (Saito ) and how it gave them a ‘sense of hope' and ‘peace of mind' before starting treatment (Pacey, 2003; Eiser ).

Oncologists also have a key role in men's decisions (Schover ; Saito ). Both Eiser and Yee found many men banked sperm simply because it was what their doctor/oncologist advised: they attended appointments at the sperm bank in much the same way as they attended for blood tests and scans. The decision to bank sperm necessitates more hospital appointments and increased contact with clinic staff, so that those who are more satisfied with their initial care may be more likely to accept the doctor's recommendations (Loblaw ). Conversely, barriers to effective communication between doctor and patient, or the lack of relevant or easily accessible information about sperm banking, may hamper decision-making (Achille ; Gilbert ; Quinn ).

The wish to have children after treatment is consistently given as the reason why men bank sperm, but this raises the question about what motivates men to bank when they are unsure about whether or not they want children in the future. Given the relatively young age on diagnosis of some cancers, (Office for National Statistics, 2012), it is likely that many men diagnosed with testicular cancer may not have given much thought to starting a family. Previous research offers only limited perspectives about these young men and failure to recognise this may partly explain why statistics suggest that men are reluctant to take up banking services: they are undecided about how much they want children in the future (whether or not they already have children) and therefore decline the offer without much thought.

With few exceptions, past work has focused on the variables associated with the decision to bank but has not considered the longer-term consequences for HRQoL. Most work suggests that long-term HRQoL among men following testicular cancer is as good as the general population (Rossen ), although there may be some compromise in physical HRQoL and among those with more side effects (Mykletun ). Cancer survivors who chose not to bank and subsequently became infertile after treatment reported substantial psychosocial distress (Green ; Neal ). In that sperm banking has been construed as a means to enhance long-term HRQoL, we specifically evaluated any differences between bankers and non-bankers over the first year following diagnosis, with the expectation that bankers might report higher HRQoL.

Our aims were therefore first to identify medical, demographic and psychological variables on diagnosis (T1) and 1 year later (T2), which differentiate between bankers and non-bankers, and second to determine HRQoL among a sample of young men where treatment poses a risk to their fertility. We conducted separate analyses including the subset of men who were unsure at T1 about their desire for fatherhood in the future.

Materials and Methods

Procedure

Between July 2008 and August 2010, a sequential cohort of men diagnosed with either testicular cancer or a haematological disorder in two teaching hospitals in the north of England (Sheffield and Leeds) were approached to take part in the study. These groups were selected because they represent the most common diagnoses in men of reproductive age and the most frequently referred reasons for sperm banking (Pacey and Eiser, 2011). Eligibility criteria included male subjects aged 18–45 years, diagnoses of testicular or haematological cancer with good prognoses and undergoing treatment with curative intent, no known mental health problems and sufficient English language ability to provide written informed consent and complete questionnaires. A research nurse approached eligible patients at the clinic appointment when sperm banking was discussed and men were invited to participate regardless of their decision to bank sperm. Meetings were held between the two medical teams throughout the study to ensure standard procedures. Men who agreed to participate were asked to complete questionnaires as soon as possible (T1) and again 1 year later at a routine follow-up visit (T2). Extra time was given at each appointment for men to complete their questionnaires. All recruitment procedures were approved by the Trent Research Ethics Committee (Ref: 07/H0405/61).

Measures

Background information was collected about age (years), partner status (single, partner but not living together, married/living with partner, divorced/separated or widowed), age left full-time education (16 or under, 17–18, 19–21 or 21+), employment (work full-time, work part-time, on sick leave, student, homemaker, retired, unemployed, other), ethnicity (white, mixed, Asian or Asian British, Black or Black British, Chinese or Chinese British, other), living status (alone, with friends, with a partner, with parents, other) and number of children (biological, adopted, born using sperm from a donor and step-children).

T1 self-report measures

Health-related quality of life (QLQ-C30) is a 30-item measure, which is typically scored to yield a global health status scale, five functional scales and nine symptom scales/items (Aaronson ). The five functional scales include physical function (five items), role function (two items), emotional function (four items), social function (two items) and cognitive function (two items). The nine symptom scales include fatigue (three items), nausea and vomiting (two items), and pain (two items), and single items to assess dyspnoea, insomnia, appetite loss, constipation, diarrhoea and financial impact. Higher scores on functional scales and global health status indicate good HRQoL, whereas higher scores on symptom items and scales represent poor HRQoL. The measure has been found to yield high test–retest reliability in patients with various cancer diagnoses (Hjermstad ). We followed a recent approach to analyses described by Hinz , which results in the calculation of three scores: function, symptoms and a total score.

Views of clinic appointments were assessed using the Princess Margaret Hospital Patient Satisfaction With Doctor Questionnaire (PMH/PSQ-MD). This scale was developed to assess satisfaction among cancer patients and includes 29 items grouped into four subscales (information exchange, interpersonal skills, empathy and quality of time; Loblaw ). Excellent reliability (α=0.97) and validity have been demonstrated. We calculated a total satisfaction score based on two subscales measuring ‘Information exchange' (nine items) and ‘Quality of time' (five items). Responses were made on five-point Likert scales from ‘strongly agree' to ‘strongly disagree', with higher scores representing greater satisfaction.

Illness perceptions (Brief Illness Perception Questionnaire-Revised: BIPQR; Broadbent ): The BIPQR includes eight items, of which five assess cognitive illness representations (consequences, timeline, personal control, treatment control and identity), two assess emotional representations (concern and emotions) and one assesses illness comprehensibility. An additional item, ‘How much do you think your illness has affected your fertility (ability to have children)' was added (but was scored separately). All items were rated on a 0 to 10 response scale, with higher scores reflecting a more threatening view of the illness. A mean score based on all the items, as well as the individual items, were used in the analysis.

Views about sperm banking: Based on our literature review and clinical experience, we constructed a 15-item measure of men's views about sperm banking (e.g. I don't think my fertility is good enough to make banking worthwhile; I understand the benefits of banking before cancer treatment). Responses were made on four-point Likert scales from ‘strongly agree' to ‘strongly disagree'.

Views about parenting: We used five questions originally described by Schover , 2002) to assess men's attitudes to having children in the future, ‘How much has your experience of cancer affected your wish to have children in future?' ‘How much do you want to have a child in future?', ‘I worry that children born from banked sperm will have health problems', ‘I worry that my cancer treatment could cause health problems for any child born afterwards' and ‘Before your cancer diagnosis, were you ever worried that you had fertility problems?' Responses were made on five-point scales with appropriate end points (e.g. ‘strongly agree' to ‘strongly disagree'). The five items were analysed individually.

Information about fertility: A series of multiple-choice questions was used to determine the sources of information about possible infertility after cancer treatment and the availability of banking sperm (referral doctor, general practitioner nurse, social worker, oncologist, other health professional, family/friend or none of the above). Men were also asked to indicate if they accessed any written information (booklet, websites or other). One or more options could be ticked for each question.

T2 self-report measures

In addition to the above, at T2 four questions were asked about how many samples the men banked (0, 1, 2–3, 4–5, can't remember), the quality of their banked samples (‘I did not have any sperm to bank', ‘good enough for fertility treatment' or ‘don't know'), how confident they were that they made the right decision about banking and how important it is to know about changes in their fertility (rated on five-point Likert scales ‘not at all' to ‘very'). Each of these items was analysed individually.

Views about fertility included six questions about men's understanding about changes in their fertility after cancer treatment (Pacey ). Responses were made on five-point Likert scales from ‘strongly agree' to ‘strongly disagree'. Two items measured men's confidence in fertility recovery: ‘I am certain my fertility has already or will recover' and ‘I am confident my fertility is normal/as good as any other man of my age'. Higher scores represented higher confidence in fertility recovery. Four items measured Importance of fertility monitoring: ‘I don't want to know if my fertility has recovered or not', ‘Information about my fertility will make no difference to my behaviour', ‘There are worse things to worry about than being infertile' and ‘I like to know as much as possible about the effects of treatment on my fertility'. Higher scores represent greater importance placed on monitoring fertility.

Medical and sperm banking information

Information on diagnosis, treatment and oncology follow-ups was obtained from medical records and information about the banked sperm was collected for those who decided to bank sperm. This included information on the prefreeze sample quality and also the consent given with regard to the use of banked sperm.

Analysis

All data were entered independently by two authors and checked for accuracy using SPSS version 16. Continuous variables were standardised before analysis. Independent samples t-tests and χ2 analyses were used to check for differences between study sites. For our sample, we examined the association between banking decision at T1 and demographic, medical and psychological variables using univariate logistic regression analyses. The extent to which these simple relationships were independent of each other was determined by multivariable hierarchical logistic regression analysis. Following Hosmer and Lemeshow (2000), we tested for significant non-linearity in the relationship of continuous predictors with the logit of the dependent variable. In multiple predictor models, we inspected for evidence of multicollinearity. Differences between bankers and non-bankers in HRQoL at T1 and T2 were explored using repeated measures ANOVA with one between-participants factor (Bank: bankers vs non-bankers) and one within-participants factor (Time: T1 vs T2). Independent samples t-tests were used to compare bankers and non-bankers on items asked at T2 only.

We created a subset of men who were unsure on diagnosis about whether they wanted children in the future by excluding all men who responded ‘definitely want a child in the future' or ‘definitely do not want a child in the future' to the question ‘How much do you want to have a child in the future'. We used univariate logistic regression analyses to identify predictors of banking in this subsample. We did not construct a multiple predictor model with these data owing to the small sample size.

Treatment of measured variables

To create meaningfully sized groups, background variables were dichotomised as follows: partner status (partner vs single/separated), age left full-time education (under 18 years vs over 18 years), employment (working full/part-time vs not working), ethnicity (white vs other) and living status (partner vs other).

Scores on the EORTC QLQ-C30 were calculated using the algorithms provided by the EORTC group, where scores are linearly transformed to give a range of 0–100 (Fayers ). Following the method tested by Hinz , we calculated three sum scores: function, symptoms and a total score. This method was chosen in preference to averaging across the 15 separate items, to prevent higher weight being given to scales with more than one response (e.g. physical function=5; symptoms=three symptom scales: pain, fatigue and nausea//vomiting and six single items) than those with fewer items. A total score was calculated by reverse coding the symptom items and averaging all the function and symptom scales, along with the global health status scale. Higher scores on the function and total scores represent higher HRQoL, but higher scores on the symptoms score equal low HRQoL. As expected, the distribution of the HRQoL scores deviated substantially from normality, and scores were therefore dichotomised using median splits, as described by previous authors (Hayden ; Snyder ). Subsequent comparisons were made between the highest- and lowest-scoring halves.

Most scales were found to have good reliability (α⩾0.70): satisfaction with clinic appointments (α=0.87), information exchange (0.74) and quality of time (0.85), and illness perceptions (0.70). The three HRQoL scales all had good reliability: function (0.76), symptom (0.82) and total score (0.90). On views to fertility, the same factor solution reported by Pacey was present in this population. However, while confidence in fertility recovery had a high reliability (0.86), importance of fertility monitoring did not (0.51), and the items in this scale were analysed separately. For the ‘views about sperm banking' items, a principal components analysis failed to show a simple multifactorial structure due to cross-loadings on several items. Therefore, all items were analysed separately.

Results

There were no differences between the two hospitals on any measured demographic, medical or psychological variables, and therefore data were combined in subsequent analyses. Some men completed the T1 questionnaire before banking (N=16, 36.4%), whereas the remainder banked sperm between 2 and 4 weeks previously (N=28, 63.6%). Comparisons were made between men who completed questionnaires before banking and those who completed them immediately after banking, but there were no significant differences on any variables and therefore these groups were also combined in subsequent analyses.

Of the 105 men identified as eligible to take part in the study, 91 (Sheffield=68; Leeds=23) returned questionnaires at T1 (response rate: 86.7%) and 78 men (85.7%: Sheffield=58; Leeds=20) returned questionnaires at 1-year follow-up (T2). Of the 13 men who did not return questionnaires at T2, 7 were lost to follow-up or had relocated, 5 had died and 1 was in palliative care. All further analyses were conducted for the men who returned questionnaires at both time points (N=78). Demographic characteristics for the whole sample and for those who chose to bank sperm (N=44) and those who did not (N=34) are shown in Table 1 and medical information in Table 2.

Table 1

Background information for total sample and for bankers and non-bankers at Time 1

	Total (N=78)	Banker (N=44)	Non-banker (N=34)	Odds ratio (95% CI)
Relationship status
Partner	53 (67.9%)	30 (68.2%)	23 (67.6%)	1.03 (0.39–2.67)
Other	25 (32.1%)	14 (31.8%)	11 (32.4%)
Age left full-time education
Under 18 years	48 (61.5%)	25 (56.8%)	23 (67.6%)	0.63 (0.25–1.60)
Over 18 years	30 (38.5%)	19 (43.2%)	11 (32.4%)
Employment status
Working	49 (62.8%)	29 (65.9%)	20 (58.8%)	1.35 (0.54–3.41)
Not working	29 (37.2%)	15 (34.1%)	14 (41.2%)
Living status
With partner	50 (64.1%)	27 (61.4%)	23 (67.6%)	0.76 (0.30–1.95)
Other	28 (35.9%)	17 (38.6%)	11 (32.4%)
Ethnic status
White	68 (87.2%)	37 (84.1%)	31 (91.2%)	0.51 (0.12–2.15)
Other	10 (12.8%)	7 (15.9%)	3 (8.8%)
Have children already
Yes	36 (46.2%)	13 (29.5%)	23 (67.6%)	4.99 (1.90–13.12)*
No	42 (53.8%)	31 (70.5%)	11 (32.4%)
Age at questionnaire (years)
Mean (s.d.)	33.00 (7.71)	29.49 (6.71)	37.55 (6.50)	0.26 (0.14–0.50)*

Abbreviations: CI=confidence interval; s.d.=standard deviation.

*Significance level P<0.001.

Table 2

Medical data for total sample and for bankers and non-bankers at Time 1

	Total (N=78)	Banker (N=44)	Non-banker (N=34)	Odds ratio (95% CI)
Diagnosis
Testicular	50 (64.1%)	29 (65.9%)	21 (61.8%)	1.20 (0.47–3.04)
Other	28 (35.9%)	15 (34.1%)	13 (38.2%)
Treatment
Chemotherapy	62 (81.6%)	33 (75.0%)	29 (90.6%)	1.14 (0.08–16.95)
Radiotherapy	5 (6.6%)	4 (15.9%)	1 (3.1%)	0.33 (0.06–1.69)
Combined	9 (11.8%)	7 (15.9%)	2 (6.2%)
Biopsy	21 (26.9%)	12 (27.3%)	9 (26.5%)	1.04 (0.38–2.86)
Additional medical condition	27 (34.6%)	14 (31.8%)	13 (38.2%)	0.75 (0.30–1.93)
Weeks from diagnosis to treatment
Mean (s.d.)	5.97 (7.48)	5.65 (4.54)	4.61 (2.80)	1.09 (0.94–1.26)

Abbreviations: CI=confidence interval; s.d=standard deviation.

All men remembered being told about the risks of infertility from cancer treatment and that they could bank sperm before treatment. Many (65.4%) reported receiving the information from more than one source. At both time points, most men (T1=71.8% T2=69.2%) reported being told about the infertility risk by their oncology consultant, and/or a nurse (T1=55.1% T2=48.7%), and/or by their General Practitioner (GP (T1=52.6% T2=51.3%). The same three sources were also most likely to mention the possibility of sperm banking: oncology consultant (T1=71.8% T2=66.2%) and/or nurse (T1=53.8%, T2=50.6%) and/or their GP (T1=50% T2=42.9%). At T1, 57.7% of men reported they had seen written information about sperm banking, 5.1% from multiple sources. In all, 40 men (51.3%) had seen a brochure/booklet about sperm banking, 8 (10.3%) had checked websites for information.

Demographic, medical and psychological variables predicting the banking decision on diagnosis (T1)

According to medical records, 44 men (56.4%: Sheffield=30; Leeds=14) chose to bank their sperm before commencing cancer treatment. In all, 16 (37.2%) banked one sample, 21 (48.8%) banked two and 7 (14%) banked three samples. Younger men and those who did not already have children were more likely to bank sperm (Table 1) but there were no significant differences in terms of their relationship status, age when they left full-time education, employment status, living status or ethnicity. There were also no significant differences between bankers and non-bankers in terms of medical variables such as diagnosis (testicular vs other), treatment given, any additional medical conditions or the time (weeks) between referral to oncologist and beginning treatment (Table 2).

Variables that predicted the banking decision at T1 included a greater desire for children in the future (OR=8.19; 95% CI=3.53–19.01; P<0.001), reporting that the experience of cancer had increased the wish to have children (OR=2.64; 95% CI=1.15–6.09; P<0.001). They also were more likely to think they would have more regrets at a later date if they did not bank (OR=3.51; 95% CI=1.93–6.39; P<0.001). The item ‘knowing my sperm is/was banked makes me feel more of a complete man', did not meet the assumption of linearity of the logit and was dichotomised (agree/disagree) and entered as a categorical predictor. Men who agreed with this statement were significantly more likely to bank sperm (OR=3.40; 95% CI=1.09–0.59; P=0.035). At T1, those who banked sperm reported better function, lower symptom and better total HRQoL scores than those who did not bank sperm. Bankers were more likely to be among the highest scoring 50% in total HRQoL (bankers 60.47% non-bankers 35.29%, P=0.028); function (bankers 60.45% non-bankers 32.35% P=0.014) and the lowest scoring 50% on symptom scores (bankers 34.88% non-bankers 34.88% P=004). Illness perceptions, satisfaction with information exchange or quality of time were not associated with the decision to bank sperm.

Those variables above that significantly predicted banking in univariate models were entered into a hierarchical logistic regression model to identify those that uniquely contributed to the decision to bank (Table 3). In the first step, age and whether they already have children was entered, followed by total HRQoL and in the final step the views about sperm banking and desire for children items were entered. The full model was significant in distinguishing between bankers and non-bankers, χ2 (7)=52.25, P<0.001, with ‘desire for children in the future' being the only variable to distinguish between bankers and non-bankers.

Table 3

Hierarchical logistic regression to distinguish between bankers and non-bankers (Time 1)

	Demographic		+Quality of life		+Views about sperm banking and desire for children
	OR (95% CI)	Sig.	OR (95% CI)	Sig.	OR (95% CI)	Sig.
Age (at questionnaire)	0.25 (0.13–0.51)	<0.001	0.21 (0.10–0.46)	<0.001	0.46 (0.17–1.23)	0.124
Have children already (no)	2.78 (0.89–8.72)	0.079	2.27 (0.68–7.53)	0.180	1.92 (0.41–8.92)	0.405
Total HRQoL (highest HRQoL)			3.39 (1.10–14.10)	0.036	0.62 (0.10–3.95)	0.615
Knowing my sperm is/was banked makes me feel more of a complete man (agree)					0.88 (0.13–5.78)	0.890
If I don't/didn't bank now, I think I will regret it later					1.83 (0.75–4.44)	0.184
Effect of cancer on wish for children					1.80 (0.50–6.46)	0.366
Desire for children in the future					5.13 (1.72–15.23)	0.003

Abbreviations: CI=confidence interval; HRQoL=health-related quality of life; s.d.=standard deviation; sig=significance.

Demographic: Nagelkerke R2=0.43.

+Quality of life: Nagelkerke R2=0.48.

+Views about sperm banking and desire for children: Nagelkerke R2=0.69.

Differences between bankers and non-bankers 1 year after diagnosis (T2)

At T2, both bankers and non-bankers were confident that they had made the right decision about banking sperm (4.59±0.69 and 4.20±1.29, respectively) and there was no significant difference in their level of confidence (t(32.02)=−1.40; P=0.170). Bankers felt it was more important to know about changes in fertility (4.39±0.92) compared with non-bankers (3.07±1.51) (t(43.72)=−4.28, P<0.001) and reported significantly greater confidence in fertility recovery (3.45±0.90 vs 2.94+0.74, t(75)=−2.68; P=0.009). Men who banked sperm agreed to a significantly greater extent with the statement ‘I like to know as much as possible about the effects of treatment on my fertility' (3.86±1.05 vs 3.06±1.17; t(75)=−3.17;P=0.002) and disagreed with the statement ‘I don't want to know if my fertility has recovered or not' (4.30±1.05 vs 2.97±1.21; t(75)=−5.14; P<0.001).

At both time points, bankers scored significantly more positively than non-bankers on function, symptom and total scores, and there were significant improvements over time on all three measures for the total sample. The absence of significant bank × time interactions indicated that both bankers and non-bankers improved to comparable extents. Mean scores and F-ratios are shown in Table 4.

Table 4

Comparisons of quality of life between bankers and non-bankers at T1 and T2: means and F-ratios

	Means and (s.d.)				F(1,75) and P-values
	Bankers (N=43)		Non-bankers (N=34)		Bank	Time	Bank × time
HRQoL	Time 1	Time 2	Time 1	Time 2
Function	82.67 (15.24)	89.65 (12.09)	74.49 (15.86)	84.05 (20.82)	4.82 (0.031)	18.67 (<0.001)	0.45 (0.503)
Symptoms	11.74 (11.71)	9.49 (11.36)	21.01 (16.63)	14.85 (20.23)	6.38 (0.014)	5.08 (0.027)	1.10 (0.299)
Total	85.43 (12.56)	89.58 (11.27)	76.59 (15.33)	84.20 (19.93)	5.99 (0.017)	11.17 (<0.001)	0.97 (0.328)

Abbreviations: HRQoL=health-related quality of life; s.d.=standard deviation; T1=Time 1; T2=Time 2.

Higher scores on function and total scales represent higher HRQoL, but higher scores on the symptom scale represent worse HRQoL.

Predictors of decision to bank in those unsure about whether or not they want children in the future

In a subsample of men (n=36) who were unsure about whether they wanted children in the future, 24 (66.7%) chose to bank sperm. Men who chose to bank sperm were less likely to have children compared with non-bankers (20.8 vs 83.3% P<0.001). As shown in Table 5, they were significantly younger, reported greater satisfaction with the quality of time in appointments, less worry about children born from banked sperm and about effects of cancer treatment on children born after treatment than those who did not bank. Those who chose to bank were significantly more sure about what to do, were clearer about the decision that was best for them and more strongly agreed with the statement ‘If I don't bank now, I think I will regret it later.' At T2 there were no differences between bankers and non-bankers in this subgroup, except that bankers reported it was more important to know about changes in their fertility than non-bankers (4.33±0.87 vs 2.70±1.34; t(32)=−4.25; P<0.001).

Table 5

Summary of results predicting decisions to bank among those unsure about their desire for children in the future

	Banker (N=24)	Non-banker (N=12)
	Mean (s.d.)	Mean (s.d.)	OR (95% CI)	Sig.
Age (years)	29.11 (7.59)	35.23 (7.20)	0.42 (0.19–0.95)	0.037
Satisfaction with appointments	4.25 (0.46)	3.74 (0.59)	8.74 (1.34–56.97)	0.023
Satisfaction with quality of time at appointments	4.19 (0.53)	3.43 (0.90)	3.33 (1.32–8.42)	0.011
Worry that children born from banked sperm will have health problems	2.29 (0.86)	3.25 (0.87)	0.25 (0.08–0.76)	0.015
Worry that my cancer treatment could cause health problems for children born afterwards	2.46 (0.93)	3.42 (0.99)	0.30 (0.11–0.81)	0.018
I am/was unsure what to do	3.21 (0.83)	2.50 (0.67)	0.38 (0.16–0.89)	0.025
It is/was clear what choice is/was best for me	3.38 (0.65)	2.75 (0.75)	2.71 (1.10–6.67)	0.031
If I don't/didn't bank now, I think I will regret it later	3.08 (0.78)	2.33 (0.78)	3.83 (1.23–11.90)	0.020

Abbreviations: CI=confidence interval; s.d.=standard deviation; sig=significance.

Discussion

Previous work has identified a number of variables associated with men's decisions about sperm banking on diagnosis. We sought to extend these findings and consider the implications of these decisions 1 year later. Our finding that just over half the sample (56.4%) chose to bank their sperm before commencing cancer treatment is higher than reported in previous work (reviewed by Pacey and Eiser, 2011). Comparable figures have ranged from as low as 2.9% in Taiwan (Chang ) to 24% in the United Status (Schover ; Girasole ). The higher rate found in our study might be expected given that at both recruitment sites, sperm banking is offered free of charge in accordance with NICE guidelines (National Collaborating Centre for Women's and Children's Health, 2004). Staff were well informed about the rationale for sperm banking and had relatively easy access to large well-established sperm banks.

Our findings are consistent with much previous work describing characteristics of why men bank sperm (Lass ; Schover ; Saito ; Girasole ). Men who bank sperm are more likely to be younger, less likely to have children and especially more likely to want a child in the future. Despite measuring a wider range of variables than previously reported, we found that the only variable that predicted between bankers and non-bankers on diagnosis was their desire for children.

After 1 year, those who banked felt their fertility had been less compromised and recognised the value of knowing about changes in fertility, perhaps reflecting greater awareness about the possibility of fertility recovery than non-bankers.

It is easy to understand that the decision to bank is highly motivated by a desire for children, so what is perhaps more interesting is what men take into account when they are not certain they want children in the future. Among a subsample unsure about whether or not they wanted children in the future, those who banked were more satisfied with quality of their clinic appointments and had less concerns about the health of children born after cancer treatment. They also reported that their decision to bank was in part motivated to avoid regret in the future. Many young men who are faced with the diagnosis of cancer may have never thought about whether or not they want children in the future. It is therefore especially important that clinicians take time to discuss fertility options with these men and address specific concerns, such as the health of future biological children.

Previous work also suggests the advice of the oncologist is important in helping men decide whether to bank sperm (Yee ). We previously found that men relied on oncologists to arrange appointments at the sperm bank and that men were more likely to bank where they held more positive views about the clinic consultations before banking (Eiser ), again suggesting that medical staff play a critical role in facilitating decisions about banking.

Although a number of studies have investigated HRQoL in men following testicular cancer (Rossen ), no past work has specifically investigated how far HRQoL is affected by sperm banking, either on diagnosis or in the longer term. On diagnosis, we found that bankers reported better HRQoL and fewer symptoms than non-bankers, perhaps suggesting that those who agree to bank do so in part because they feel strong enough to undertake the extra clinic appointments necessary, or feel more optimistic about their survival and therefore think it is more worthwhile. These differences between bankers and non-bankers persisted 1 year later, while, as might be expected, HRQoL improved for both groups over this period. Thus, although the decision to bank sperm was associated with better HRQoL, our findings do not support a causal interpretation that subsequent HRQoL is enhanced by deciding to bank.

Limitations

Our follow-up (1 year) was relatively short. At this time, men may not be aware whether or not their fertility has recovered. We recruited men with good prognoses and decisions may be far more complex for those where the outcomes are less clear. More extensive medical data (including staging) would be valuable in future work. We used standardised questionnaires where possible but given that there has been relatively little previous work in the United Kingdom, we made changes to previously reported scales to be culturally appropriate and developed others. These varied in reliability and suggest that a priority for future work is to develop standardised measures that are sensitive to the issues relevant to men whose fertility is potentially compromised because of cancer treatment. This work was conducted in two centres in the United Kingdom, both of which offered free banking and storage for men with cancer. Previous work is not always clear about whether or not men have to pay for long-term storage, and this may account for some differences in findings associated with the policy of different health-care systems.

Work of this kind is often criticised for poor response rates, attributed to men's general reluctance to take part in health-related research (Kraemer, 2000). In fact, our initial response rate of 86.67% was relatively good and remained so at the 1-year follow-up (85.7%), suggesting perhaps that fertility is a highly important issue for these men.

Conclusion

Previous work suggesting that few men are willing to bank sperm may in part be a consequence of methodological problems, especially where no account is taken of whether or not men already have children or wish to have a child in the future. We conclude that the principal reason why men bank sperm on diagnosis is whether or not they want to have children in the future. The implications are that men may sacrifice their chance to have children because they do not anticipate how they might feel about this in the future. For those men who are uncertain about future reproductive plans, decisions depend more on their HRQoL on diagnosis and satisfaction with clinic care. Among this group, those who did not bank were younger, less likely to have had children, more concerned about the health of children born after cancer and less certain about what they should do. We conclude that these men deserve sensitive counselling that promotes consideration of the future consequences of compromised fertility.