Literature DB >> 24117697

Defining and measuring blood donor altruism: a theoretical approach from biology, economics and psychology.

R Evans1, E Ferguson.   

Abstract

BACKGROUND AND OBJECTIVES: While blood donation is traditionally described as a behaviour motivated by pure altruism, the assessment of altruism in the blood donation literature has not been theoretically informed. Drawing on theories of altruism from psychology, economics and evolutionary biology, it is argued that a theoretically derived psychometric assessment of altruism is needed. Such a measure is developed in this study that can be used to help inform both our understanding of the altruistic motives of blood donors and recruitment intervention strategies.
MATERIALS AND METHODS: A cross-sectional survey (N = 414), with a 1-month behavioural follow-up (time 2, N = 77), was designed to assess theoretically derived constructs from psychological, economic and evolutionary biological theories of altruism. Theory of planned behaviour (TPB) variables and co-operation were also assessed at time 1 and a measure of behavioural co-operation at time 2.
RESULTS: Five theoretical dimensions (impure altruism, kinship, self-regarding motives, reluctant altruism and egalitarian warm glow) of altruism were identified through factor analyses. These five altruistic motives differentiated blood donors from non-donors (donors scored higher on impure altruism and reluctant altruism), showed incremental validity over TPB constructs to predict donor intention and predicted future co-operative behaviour.
CONCLUSIONS: These findings show that altruism in the context of blood donation is multifaceted and complex and, does not reflect pure altruism. This has implication for recruitment campaigns that focus solely on pure altruism.
© 2013 The Authors. Vox Sanguinis published by John Wiley & Sons Ltd. on behalf of International Society of Blood Transfusion.

Entities:  

Keywords:  altruism; blood donors; motivation; reciprocity; recruitment

Mesh:

Year:  2013        PMID: 24117697      PMCID: PMC4171832          DOI: 10.1111/vox.12080

Source DB:  PubMed          Journal:  Vox Sang        ISSN: 0042-9007            Impact factor:   2.144


Introduction

Without volunteer blood donors, a large proportion of health service provision (e.g. elective surgery) would not be possible. However, only around 5% of the eligible population donates blood at any one time 1 with shortages often reported 2 making blood donor recruitment vital. Recruitment campaigns generally focus on altruism 3,4 as (1) blood donation is considered an archetypal altruistic act 4 and (2) altruism is the most common self-reported motive for blood donation 5. However, while altruism reflects a number of related theoretical processes (e.g. reciprocity, warm glow) identified in psychology 6, economics 7 and evolutionary biology 8,9, in blood donor researcher, it is typically assessed as a single construct. Moreover, generic altruism-based slogans, such as ‘Do something amazing: save a life. Give blood’, do not reflect these processes, and therefore, the motivational focus of recruitment campaigns may not match donor motives 10,11. The main aim of this study, therefore, is to develop more substantive, theoretically informed multidimensional index of blood donors’ altruistic motivations.

Altruism and blood donation

Although theory indicates that altruistic acts are based on a number of motives, no multidimensional measure of motives underlying altruism exists for blood donation. Seven theory-driven motives for altruistic behaviour can be identified from psychological, economic and evolutionary biological literatures. First, pure altruism describes an individual's ultimate desire to help others at a personal cost, without reward 6. Second, warm glow describes the personal benefit arising through positive emotional gains from the act of donation 7. Combining warm glow and pure altruism results in impure altruism, whereby the individual donates both to attain warm glow and to benefit others 7. Psychometric 12 and behavioural economic 13 evidence shows that warm glow motivations underlie blood donor helping preferences. Third, reluctant altruism describes when co-operation occurs due to a lack of trust that others will donate 12. Fourth, social responsibility 14 reflects a sense of duty to donate blood, which may overcome tendencies to free riding that economic theory proposes occurs with respect to providing public goods like blood 7. Fifth, hedonism is an egoistic motive, whereby helping is used to increase personal gains without concern for the recipient's welfare 6. The desire to receive a gift for donating or get free health checks may represent hedonistic motives for blood donation 15. Sixth, reputation building operates via indirect reciprocity, with people more likely to help those who have a good reputation for helping 8,9. Finally, kin selection suggests that individuals show preferential helping towards family members 9. These seven motives may be differentially related to blood donation. Pure altruism is believed to be the archetypal motivation for blood donation 4. However, Ferguson et al. 12,16 have shown that warm glow is also a predictor for blood donation. Donations may not be sustained by reputation, as only a small proportion of blood donors seeking social recognition 5,17. However, this does not preclude that reputation is part of the multidimensional space for blood donor's altruistic motivations. Kinship, although reported by blood donors as a motive 14, is also unlikely to sustain donation because blood cannot be donated directly to relatives. With respect to hedonism, the typical small rewards (e.g. tea and biscuits) may be insufficient to outweigh the high costs of donation. Consistent with this, Ferguson et al. 16 found that such hedonistic motives were not correlated with intentions to donate blood. Finally, moral norms for social duty have been linked directly to the intention to donate blood 18. However, while blood donors endorse multiple motives 19, motives such as reputation building have never been assessed, due to the lack of a suitable measurement tool. As such, hypotheses concerning reputation building and blood donation cannot be directly tested. While proposed as seven distinct processes, these motives may not be distinct. For example, a sense of social and moral duty may be linked to a sense of warm glow as people may also derive warm glow from meeting societies needs as well as their own 12,16. Duty and reluctant altruism may seem similar, with donors acting in the face of others inaction, with both driven by a sense of moral worth in terms of what should be done. However, reluctant altruism is more likely also driven by a sense of frustration with others inaction, whereas duty is likely driven by a sense of pleasing others by doing the right thing. Thus, while correlated they should be distinct motivations. The multidimensional measure of altruism for blood donors will enable such hypotheses to be examined.

Theory of planned behaviour, blood donation and altruism

The theory of planned behaviour (TPB) 20 has been the main psychological framework applied to study blood donation behaviour 1. TPB suggests that behaviour is determined by intentions to act, with intentions predicted by subjective norms, attitudes, and perceived behavioural control (PBC) 20. Intention is the key determinant of blood donation 1,21. Evidence suggests that incorporating a single altruistic motive within a TPB framework improves the prediction of blood donor intentions 18. Therefore, this study aims to extend previous work by (i) examining the associations between multiple motivations underlying altruism and the components of the TPB and (ii) examine whether the various altruistic motives show incremental validity over TPB variables with respect to blood donation intentions.

Summary

This study aims to develop a theory-driven index of motivations underlying altruism associated with blood donation and examines its validity by demonstrating its ability to (i) show meaningful correlations with TPB variables, especially intentions, (ii) show meaningful differences between blood donors and non-donors, (iii) predict future co-operative behaviour and (iv) show incremental validity over TPB variables with respect to predicting behavioural intentions to donate blood. Secondly, this study aims to explore the impact of recruitment slogans (altruism vs. benevolence vs. control) on intentions, altruistic motives and co-operative behaviour.1

Materials and methods

Participants and design

The cross-sectional survey design also incorporated a longitudinal component with participants completing measures of altruism and TPB (including intentions) at time 1 (T1) and a measure of intention at time 2 (T2), 1 month later. At T1, 414 participants provided data (91% response rate: 36 participants either did not return the questionnaire or did not complete the consent form or left a whole section blank). All participants were university students selected through convenience sampling and aged between 17 and 39 years [M = 20·06, SD = 2·38, 254 (62% women) and one with sex unspecified]. Two hundred and sixty-six participants provided emails at T1 to be contacted at T2, and at T2, 77 participants responded to the email request [age range = 18–27, M = 19·93, SD = 1·84, 55 (71% women)]. Those who replied at T2 were not significantly different in terms of age, sex or donor status from those who did not reply (all Ps > 0·05). Participants self-reported their ethnicity (9·5% not providing a description) to the question ‘What is your ethnicity?’ This resulted in 41 different descriptions (coded verbatim). The majority (43·7%) described themselves as White people British, followed by 19·4% describing themselves as White. We recoded the data as White (=1) if participants explicitly described themselves as White and others (=0) if not. However, this meant that participants describing themselves as just Australian (N = 1) or British (N = 65) for example were classed as ‘other’ but could potentially be White. Given the self-report nature of these data and these types of coding concerns, they offer a primarily descriptive account of the sample.2

Measures (Time 1)

Blood donor status: Past blood donation behaviour was assessed by asking participants ‘Have you ever successfully donated blood?’ (Yes/No) 1,17, which is a commonly used and reliable measure of blood donor status 3,23. Motives for blood donation: To assess the seven altruistic motives, participants indicated on a seven-point Likert-type scale (1 = strongly disagree to 7 = strongly agree) how much they agreed with 24 statements that began with the stem ‘I would donate blood because…’ Pure altruism: Pure altruism was measured by three items (e.g. ‘by donating blood I could save someone's life’) 16. Warm glow: Four items provided a measure of warm glow (e.g. ‘I would feel good about myself after donating) 12. Reluctant altruism: Reluctant altruism was measured by three items (e.g. ‘I cannot trust others to donate blood’) 12. Social responsibility: The strength of social responsibility was measured by four items (e.g. ‘if I gave blood I would be fulfilling my duty to society’) 16. Hedonism: Hedonism was measured by four items (e.g. ‘I can take time off work or lectures’) 18. Reputation: Three items were used to measure reputation building (e.g. ‘I would want to let members of the opposite sex know I am a good, kind person’) 24. Kinship: Three items measured kinship (e.g. ‘if I gave blood there is more of a chance of close relatives receiving it if they need it’) 16. TPB constructs: The TPB constructs were scored such that high scores equated to higher intention, positive attitudes, subjective norm and PBC (all items were scored on seven-point Likert-type scales). Intentions: Four items measured intention (e.g. ‘I plan to donate blood at the next possible opportunity’). Attitudes: Attitudes were measured by four bipolar adjectives with the stem ‘My donating blood at the next possible opportunity would be…’ (e.g. ‘bad–good’) 18. Subjective norm: Subjective norm composed of two items (e.g. ‘It is expected of me that I donate blood at the next possible opportunity’). PBC: PBC was measured by two items (e.g. ‘My donating blood at the next possible opportunity is up to me’). Co-operative Behaviour: A validated behavioural index of co-operation was assessed 25 in terms of a positive response to the request to leave an email to be contacted for the follow-up (email co-operation) (coded 1 if they left and email and 0 if they did not). Intentions: Participants who provided their email were contacted 1 month later and asked ‘To what extent do you intend to give blood in the future?’ measured on a seven-point Likert scale from 1 = not likely to 7 = highly likely. Co-operative Behaviour: A positive behavioural response (reply) to the email request 1 month later (behavioural co-operation) indexed behavioural co-operation 25. This was coded 1 if they replied to the email and 0 if they did not. Thus, all those who provided an email but did not reply were coded as zero.

Procedure

Participants were approached to take part individually or in groups, by a single experimenter (blind to condition and donor status) at lecture halls, cafes and social spaces. The study gained approval from the university ethics board.

Statistical analysis

Imputation procedures were used to deal with any missing data 26,27. If less than 10% of the data are missing and no more than 10% of data are missing for a single variable, then single imputation (SI) is sufficient 28. A sensitivity analysis will be conducted comparing the analyses on the imputed data with the data set with missing data listwise-deleted. If the results are the same and conform to the theoretical predictions, then confidence can be expressed in the results 29. A number of the altruism scales have only three items as such the mean interitem correlations (MICs) are the appropriate index of reliability and should be >0·30 30.

Results

Missing data

For the 24 altruistic motives, there was 0·2–0·7% missing data on any one variable. For TPB variables, the figures were 0·5–5·1%. These data were not missing completely at random [Little's χ2(1181, N = 410) = 1322·01, P < 0·05]. However, the pattern of missingness was not significantly associated with the auxiliary variables of age and sex, indicating that these data were potentially missing at random 28. With <10% missing data, a single imputation was conducted for the altruism motives first. To achieve this, fully conditional specification MI was used with 10 replications (age and sex as auxiliary variables) and one of the ten MI replications data sets chosen at random. This single data set was then used to MI the missing TPB variables (again 10 replications) and again one of the 10 data sets selected at random. While the results based on the imputed data are reported in this study, they are the same for the listwise-deleted data.

Descriptive Statistics

Of the 414 participants, four incorrectly answered a knowledge question, pertaining to the slogan manipulation. These were excluded from data analysis3. In the final sample of 410, 75% had never donated blood (N = 307) and 25% reported having donated blood (N = 103). At T1, 266 (65%) of participants left their email address, of these 219 were contacted 1 month later (not all were contactable due to illegible email addresses or emails that no longer were operational) for follow-up questions, with 77 (35%) replying to the email. Consistent with previous research, 16,31 blood donors were more likely than non-blood donor to leave their email address, χ2(1, N = 410) = 4·79, P < 0·05. There were no significant differences between blood donors and non-blood donors in terms of sex, χ2(1, N = 410) = 1·86, P > 0·05 (56·3% vs. 63·8%) or age (20·47 vs. 19·93).

Exploratory factor analysis

The suitability of the 24 altruistic motives for EFA (principal axis factoring with oblique rotation) was indicated by a Kaiser–Meyer–Olkin of 0·84 and a significant Bartlett's test of sphericity [χ2(276) = 4606·82, P < 0·01]. Parallel analysis, with 100 replications, indicated a five-factor solution (Table 1). The first factor reflected a blend of items measuring pure altruism, social responsibility and warm glow. This factor was termed ‘impure altruism’. The second factor included all the items measuring reputation and hedonism; thus, it was termed ‘self-regarding’. All three items measuring kinship and friendship loaded onto the third factor. The fourth factor included all three items measuring reluctant altruism. The fifth factor was a blend of the remaining items from the social responsibility and warm glow scales. This factor was termed ‘egalitarian warm glow’. The coefficient alphas and MICs (Table 1) indicate that these were reliable factors.
Table 1

Factor pattern matrix

Impure altruismSelf-regardingKinshipReluctant altruismEgalitarian warm glow
Save someone's life0·76−0·07−0·05−0·06−0·02
Help others0·74−0·07−0·01−0·100·06
Right thing to do0·620·04−0·020·18−0·10
Feel proud by helping0·620·11−0·03−0·16−0·32
Responsible for helping others0·600·01−0·110·21−0·04
World would be a better place if everyone who could gave blood0·50−0·01−0·130·35−0·07
Feel good about myself0·380·30−0·06−0·21−0·20
Show people that I am a good, kind person0·080·80−0·07−0·26−0·04
Let my friends know that I am a good, kind person0·050·79−0·04−0·16−0·10
Free tea and biscuits0·040·650·080·160·12
Let members of the opposite sex know I am a good, kind person−0·210·630·020·05−0·11
Receive stickers, badges and pins−0·050·600·010·150·03
Time off work or lectures−0·330·46−0·040·10−0·10
Free blood tests/blood typing0·080·44−0·040·140·03
Chance of family receiving it−0·06−0·03−0·99−0·070·08
Close relatives receive it−0·04−0·01−0·87−0·01−0·03
Friends receiving it0·050·00−0·770·070·02
Someone has to0·11−0·05−0·110·63−0·20
Other people can't, I would have to0·120·19−0·080·47−0·01
Cannot trust others−0·170·12−0·030·38−0·06
Personally rewarding experience0·300·020·03−0·10−0·65
Make me feel physically good−0·160·05−0·050·03−0·63
Duty to society0·04−0·01−0·020·22−0·62
Give back to the community0·32−0·12−0·120·02−0·54
α0·830·830·890·640·75
MIC0·440·410·740·380·45

Coefficients greater than 0·30 (in bold) indicate that the item loads on the designated factor. Four minor cross-loading are indicated with italicized coefficients.

Factor pattern matrix Coefficients greater than 0·30 (in bold) indicate that the item loads on the designated factor. Four minor cross-loading are indicated with italicized coefficients.

Donor history

Three logistic regression analyses (Table 2) examined the associations between donor history and TPB variables and the altruistic motives. The initial analyses explore the TPB variable on their own, the second explore the motives on their own, and the third examined their joint effect. Across these analyses, intentions and attitudes from TPB and impure and reluctant altruism from the motives are positively associated with being a blood donor.
Table 2

Logistic regression predicting blood donor status

Donor statusDonor statusDonor status
Step 1R2 = 0·16, Step χ2 = 48·36 (P < 0·001)R2 = 0·16, Step χ2 = 48·38 (P < 0·001)
 Intentions0·06**0·06**
 Attitudes0·10**0·10**
 Subjective norm0·030·03
 PBC0·010·01
Step 2R2 = 0·08, Step χ2 = 23·67 (P < 0·001)R2 = 0·20, Step χ2 = 9·93 (P = 0·07)
Impure altruism0·10***0·06*
Self-regarding−0·01−0·002
Kinship−0·04−0·03
Reluctant altruism0·08**0·07*
Egalitarian warm glow−0·02−0·05

*P < 0·05, **P = < 0·01, ***P =< 0·001.

N = 410. Coefficients are unstandardized coefficients values.

Blood donor status (0 = non-donor; 1 = donor).

Logistic regression predicting blood donor status *P < 0·05, **P = < 0·01, ***P =< 0·001. N = 410. Coefficients are unstandardized coefficients values. Blood donor status (0 = non-donor; 1 = donor).

Associations with TPB variables at time 1

Table 3 shows that for non-donors intention to donate blood at time 1 was positively correlated with impure altruism, egalitarian warm glow and kinship. For blood donors, intentions were positively correlated with impure altruism and reluctant altruism. Intentions at T1 was also positively correlated with intentions at T2 (r = 0·80, P < 0·001), indicating a high degree of stability in behavioural intentions.
Table 3

Correlations between measures, means and standard deviations for non-donors and blood donors

NDBD


123456789MSDMSD
1. Impure altruism0·830·190·38**0·170·52**0·24*0·010·170·1441·545·7943·875·17
2. Self−regarding0·040·830·150·170·34**0·080·000·090·0720·678·8320·478·49
3. Kinship0·38**0·13*0·890·32**0·41**0·030·070·23*0·1214·884·7015·054·87
4. Reluctant altruism0.19**0·37**0·28**0·640·29**0·28**0·170·27**0·1610·443·7811·714·37
5. Egalitarian warm glow0·55**0·21**0·35**0·28**0·750·140·180·18−0·0119·274·8620·024·66
6. Intention0·27**−0·000·12*0·100·25**0·970·31**0·65**0·46**14·997·1220·047·80
7. Attitude0·34**−0·100.15**0·010·29**0·50**0·710·160·0916·684·8619·824·42
8. Subjective norm0·23**0·070.15**0·22**0·24**0·50**0·20**0·300·33**8·352·569·502·94
9. PBC0·15*−0·000·10−0·010·040·24**0·13*0·17**0·0310·282·9611·023·08

* P < 0·05, **P < 0·01.

Cronbach's alpha is shown in bold on the diagonal. Zero-order correlations for non-donors (ND: N = 307) are presented below the diagonal, and correlations for blood donors (BD: N = 103)) are presented above the diagonal. For all scales, higher scores indicate greater endorsement on the construct.

Correlations between measures, means and standard deviations for non-donors and blood donors * P < 0·05, **P < 0·01. Cronbach's alpha is shown in bold on the diagonal. Zero-order correlations for non-donors (ND: N = 307) are presented below the diagonal, and correlations for blood donors (BD: N = 103)) are presented above the diagonal. For all scales, higher scores indicate greater endorsement on the construct.

Incremental validity: behavioural co-operation at times 1 and 2

Logistic regression (Table 4) was used to explore whether blood donor altruistic motives predict who is likely to perform a behavioural act of co-operation (1) leaving their email address for follow-up (N = 266 who did vs. 144 who did not) and (2) of those who left their email who actually responded to the email at T2 (219 were contacted and 77 replied).4 These analyses explore whether motives have effects over and above sex and intentions assessed at T1. Analyses were conducted separately for donors and non-donors. The results show that intentions predict initial co-operation at time 1 but not at time 2. However, at T2, behavioural co-operation was positively associated with both self-regarding motives and egalitarian warm glow for blood donors.
Table 4

Logistic regression predicting co-operation measures

Time 1Time 2


Email co-operation Blood donors (N = 103: 74% provided their email)Non-blood donors (N = 307: 62% provided their email)Behavioural co-operation Blood donors (N = 69: 38% replied)Non-blood donors (N = 149: 38% replied)
Step 1R2 = 0·14, Step χ2 = 10·7 (P = 0·005)R2 = 0·09, Step χ2 = 20·2(P < 0·001)R2 = 0·009, Step χ2 = 0·44 (P = 0·80)R2 = 0·01, Step χ2 = 1·25 (P = 0·53)
Sex (1 = male)−1·070*>−0·469−0·223−0·407
Intentions to donate blood (T1)0·081**>0·070***>0·020−0·003
Step 2R2 = 0·30, Step χ2 = 12,9 (P = 0·024)R2 = 0·13, Step χ2 = 9·7 (P = 0·08)R2 = 0·22, Step χ2 = 11·4 (P = 0·045)R2 = 0·04, Step χ2 = 3·3 (P = 0·64)
Impure Altruism (T1)0·0780·0200·115−0·036
Self-regarding (T1)0·0120·035*>0·082*>−0·008
Kinship (T1)−0·0380·026−0·0550·011
Reluctant altruism (T1)0·089−0·0290·088−0·057
Egalitarian warm glow(T1)0·1150·0190·234*>0·000

P < 0·05, **P ≤ 0·01, ***P < 0·001.

Coefficients are unstandardized beta values.

Logistic regression predicting co-operation measures P < 0·05, **P ≤ 0·01, ***P < 0·001. Coefficients are unstandardized beta values.

Incremental validity: intentions at time 1

Table 5 shows the results for incremental validity of the altruism motivations over TPB variables, with respect to predicting intentions for blood donors and non-donors. For non-donors, all TPB variables predicted intention at time 1. There was no significant improvement in prediction when altruistic motives were added in step two. For blood donors, all three TPB variables predicted intentions at time 1. At step two, there was a significant improvement in prediction by altruistic motives, with impure altruism positively contributing to the prediction of intentions to donate and kin motives inhibiting intentions.
Table 5

Hierarchical multiple regression analysis predicting intention to donate blood at time 1 for non-donors and blood donors

Non-donors (N = 307)Blood donors (N = 103)


BSE BβBSE Bβ
Step 1
Constant−7·021·60−7·933·10
Attitude0·580·070·40**0·360·120·20**
Subjective norm1·120·120·40**1·430·190·54**
PBC0·290·1010·12**0·660·180·26**
R2 = 0·43R2 = 0·54
Step 2
Constant−7·702·53−15·945·09
Attitude0·5650·070·39**0·360·120·21**
Subjective norm1·100·130·40**1·430·190·54**
PBC0·290·110·12**0·610·180·24**
Impure altruism0·010·070·010·290·120·19**
Self-regarding−0·000·04−0·000·000·070·00
Kinship−0·050·07−0·04−0·350·12−0·22**
Reluctant altruism0·010·090·010·190·130·10
Egalitarian warm glow0·070·080·04−0·050·15−0·03
ΔR2 = 0·00ΔR2 = 0·05
ΔF = 0·24ΔF = 2·51*

* P < 0·05, **P < 0·001.

PCB, perceived behavioural control.

Hierarchical multiple regression analysis predicting intention to donate blood at time 1 for non-donors and blood donors * P < 0·05, **P < 0·001. PCB, perceived behavioural control.

Discussion

This study identified five motives underlying altruism associated with blood donation: reluctant altruism, kinship, impure altruism, self-regarding motives and egalitarian warm glow. These five altruistic motives not only showed factorial validity, but differentiated blood donors from non-donors, showed incremental validity over TPB constructs and predicted future co-operative behaviour. As such, the measure shows good initial psychometric properties. Furthermore, these altruistic motives were differentially related to intentions to donate blood, with a different pattern shown for blood donors and non-donors.

Blood donation and altruism

The finding that blood donation is not motivated solely by pure altruism is not to imply that the act of blood donation is selfish. Indeed, impure altruism, whereby individuals donate to both benefit others and gain emotional warm glow, was a predictor of blood donation intentions 7,12,13,16. The additional pairing of ‘warm glow’ with ‘social responsibility’ is compatible with the conception of an egalitarian blood donor 13, with the blood donor driven by a desire to contribute to society, coupled with a sense of personal satisfaction from donating. This combination of motives represents unconditional helping 32, where it is the act of helping, to gain warm glow, that is crucial, rather than the characteristics of the recipient. This type of helping motivation, based on warm glow, is a key concept for blood donation, as the characteristics of recipients are always unknown to the donor. For non-donors, both egalitarian warm glow and impure altruism were associated with the intention to donate; however, for blood donors, only the latter was a significant predictor. This is generally consistent with previous work 12 and indicates that different motivates associated with altruism have different predictive value for donors and non-donors. Indeed, reluctant altruism (i.e. the desire to donate blood due to a lack of trust that others will donate) is a newly defined aspect of altruism with specific relevance to blood donation and requires further study 12. The dimensions of impure altruism and kinship added incremental predictive power, with respect to intentions for blood donors only. Interestingly, believing that kin/friends would benefit reduces intention to donate. Thus, potentially educating people to correct this erroneous belief may help sustain blood donation. These results indicate that a more complete understanding of the psychological antecedents of blood donation requires consideration of the multidimensional nature of altruistic motives. This will benefit not just in terms of measurement but also the interpretation of motives and how they are linked to interventions. For example, Farrugia et al. 33 suggest that nine of the American Red Cross's ‘Top 10 Reasons to Donate Blood’ focus on benevolence (impure altruism). However, items such as ‘you will get free juice and cookies’ and ‘you will be someone's hero’ may represent hedonistic and reputation building motives rather than benevolence. Furthermore, increasing the correspondence between the motive advocated by recruitment campaigns and the primary motive of the target audience is important to increase the effectiveness of recruitment campaigns 10. This clearly emphasizes why it is important to understand and differentiate motivations/processes underlying altruism to ensure that the appropriate motivation is being targeted. The multiitem index developed here provides a reliable and valid measurement tool to support such work.

Caveats

The primary limitation of this study is a convenience sampling of university students, which means that the findings cannot be generalized to the wider population 18. However, the theory-driven nature of these altruistic motivations and their overlap and correspondence with motives reported in both qualitative 14,34 and quantitative work 12,16 with blood donors suggests that these five altruistic motives should have generality for blood donation. A second limitation concerns the cross-sectional nature of the data pertaining to motivations, blood donor status and intentions. This precludes any statement about causality 35. However, the study was designed to be descriptive and explore structure and initial psychometric properties of blood donors’ altruistic motives. We feel that this aim is achieved.
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1.  Motivations to donate blood: demographic comparisons.

Authors:  Simone A Glynn; Steven H Kleinman; George B Schreiber; Thomas Zuck; Suzanne Mc Combs; James Bethel; George Garratty; Alan E Williams
Journal:  Transfusion       Date:  2002-02       Impact factor: 3.157

2.  Missing data: our view of the state of the art.

Authors:  Joseph L Schafer; John W Graham
Journal:  Psychol Methods       Date:  2002-06

3.  Where have all the donors gone? A personal reflection on the crisis in America's volunteer blood program.

Authors:  Toby L Simon
Journal:  Transfusion       Date:  2003-02       Impact factor: 3.157

4.  A stage model of blood donor behaviour: assessing volunteer behaviour.

Authors:  Eamonn Ferguson; Susie Chandler
Journal:  J Health Psychol       Date:  2005-05

Review 5.  Five rules for the evolution of cooperation.

Authors:  Martin A Nowak
Journal:  Science       Date:  2006-12-08       Impact factor: 47.728

6.  Understanding and assessing the motivations of volunteers: a functional approach.

Authors:  E G Clary; M Snyder; R D Ridge; J Copeland; A A Stukas; J Haugen; P Miene
Journal:  J Pers Soc Psychol       Date:  1998-06

7.  Blood donation and Ajzen's theory of planned behaviour: an examination of perceived behavioural control.

Authors:  M Giles; E Cairns
Journal:  Br J Soc Psychol       Date:  1995-06

8.  Donors to charity gain in both indirect reciprocity and political reputation.

Authors:  Manfred Milinski; Dirk Semmann; Hans-Jürgen Krambeck
Journal:  Proc Biol Sci       Date:  2002-05-07       Impact factor: 5.349

9.  How regular blood donors explain their behavior.

Authors:  Isabel Maria Belda Suárez; Antorio Fernández-Montoya; Andrés Rodríguez Fernández; Antorio López-Berrio; Manuel Cillero-Peñuela
Journal:  Transfusion       Date:  2004-10       Impact factor: 3.157

10.  Attitudes toward blood donation incentives in the United States: implications for donor recruitment.

Authors:  Simone A Glynn; Alan E Williams; Catharie C Nass; James Bethel; Debra Kessler; Edward P Scott; Joy Fridey; Steven H Kleinman; George B Schreiber
Journal:  Transfusion       Date:  2003-01       Impact factor: 3.157

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  13 in total

1.  Rudimentary empathy in macaques' social decision-making.

Authors:  Sebastien Ballesta; Jean-René Duhamel
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-30       Impact factor: 11.205

2.  Motivation structures of blood donation: a means-end chain approach.

Authors:  Yeong Sheng Tey; Poppy Arsil; Mark Brindal; Sook Kuan Lee; Chi Teen Teoh
Journal:  Int J Health Econ Manag       Date:  2019-06-24

Review 3.  Individual, contextual and network characteristics of blood donors and non-donors: a systematic review of recent literature.

Authors:  Tjeerd W Piersma; René Bekkers; Elisabeth F Klinkenberg; Wim L A M De Kort; Eva-Maria Merz
Journal:  Blood Transfus       Date:  2017-06-13       Impact factor: 3.443

4.  The influence of sociodemographic and donation behaviour characteristics on blood donation motivations.

Authors:  Laura Romero-Domínguez; Josefa D Martín-Santana; Agustín J Sánchez-Medina; Asunción Beerli-Palacio
Journal:  Blood Transfus       Date:  2021-01-15       Impact factor: 3.443

5.  Motivation to Donate, Job Crafting, and Organizational Citizenship Behavior in Blood Collection Volunteers in Non-Profit Organizations.

Authors:  Marcello Nonnis; Davide Massidda; Claudio Cabiddu; Stefania Cuccu; Maria Luisa Pedditzi; Claudio Giovanni Cortese
Journal:  Int J Environ Res Public Health       Date:  2020-02-03       Impact factor: 3.390

6.  Using Digital Platforms to Promote Blood Donation: Motivational and Preliminary Evidence from Latin America and Spain.

Authors:  Joan Torrent-Sellens; Cristian Salazar-Concha; Pilar Ficapal-Cusí; Francesc Saigí-Rubió
Journal:  Int J Environ Res Public Health       Date:  2021-04-17       Impact factor: 3.390

7.  Effectiveness of Digital Forced-Choice Nudges for Voluntary Data Donation by Health Self-trackers in Germany: Web-Based Experiment.

Authors:  Katharina Pilgrim; Sabine Bohnet-Joschko
Journal:  J Med Internet Res       Date:  2022-02-21       Impact factor: 7.076

8.  Psychology of personal data donation.

Authors:  Anya Skatova; James Goulding
Journal:  PLoS One       Date:  2019-11-20       Impact factor: 3.240

9.  Assessment of levels of awareness towards blood donation in Saudi Arabia.

Authors:  Saleh Hadi Alharbi; Fahad A Alateeq; Ibrahim Bin Ahmed; AbdulRahman Ali A Alsogair; Yousef Duhaim A Al-Rashdi; Thamer Z Aldugieman; Hussain Gadelkarim Ahmed
Journal:  AIMS Public Health       Date:  2018-09-04

10.  Use of a rapid electronic survey methodology to estimate blood donors' potential exposure to emerging infectious diseases: Application of a statistically representative sampling methodology to assess risk in US blood centers.

Authors:  Barbee I Whitaker; Mark Walderhaug; Susan Hinkins; Whitney R Steele; Brian Custer; Debra Kessler; German Leparc; Jerome L Gottschall; Walter Bialkowski; Susan L Stramer; Roger Y Dodd; Lauren Crowder; Farnaz Vahidnia; Beth H Shaz; Hany Kamel; Mark Rebosa; Michael Stern; Steven A Anderson
Journal:  Transfusion       Date:  2020-08-03       Impact factor: 3.337

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