Skip to main content
Nigerian Medical Journal : Journal of the Nigeria Medical Association logoLink to Nigerian Medical Journal : Journal of the Nigeria Medical Association
. 2020 Jul 4;61(3):114–119. doi: 10.4103/nmj.NMJ_122_19

Determinants of Psychosocial Health-related Quality of Life of Adults with Sickle Cell Disease in a Nigerian Setting

Theresa Nwagha 1, Babatunde Ishola Omotowo 2,
PMCID: PMC7547751  PMID: 33100460

Abstract

Background:

With improved understanding of disease mechanism in sickle cell disorder, many persons living with sickle cell disease (SCD) are surviving unto adulthood. There is a growing concern that SCD may impair the psychosocial health-related quality of life (HRQoL), with a resultant lack of psychosocial stability and integration. The objective of this study was to assess the determinants of psychosocial quality of life (QoL) among adults with SCD.

Materials and Methods:

This was a cross-sectional study of adults with SCD. A multidimensional self-administered instrument, prevalidated for use in adults with chronic disease, was used. It consisted of 31 items that assessed physical function, physical and emotional role function, bodily pain, vitality, social function, mental health, and general health within 2 weeks prior to the time of survey. Questionnaires were administered to adults with sickle cell anemia who presented for their routine visit to the Sickle Cell Clinic at the Hematology Clinic in University of Nigeria Teaching Hospital, Ituku-Ozalla Enugu, or during sickle cell support group meetings. Psychosocial HRQoL was the primary outcome measured. Sociodemographic features such as marital status, gender, educational qualification, and SCD were the primary independent variables of interest.

Results:

A total of I16 adults with SCD were participated in the study. After adjusting for marital status, gender, and educational qualification of adults with SCD, gender and marital status did not significantly affect psychosocial HRQoL (P = 0.619 and P = 0.146), respectively, while educational status significantly affected their HRQoL (P = 0.013).

Conclusions:

Adults with SCD have impaired psychosocial HRQoL. There is a need to upscale patient-focused interventions to improve self-esteem and overall QoL.

Keywords: Determinants, Nigeria, psychosocial quality of life, sickle cell disease

INTRODUCTION

Sickle cell diseases (SCDs) are characterized by chronic painful episodes, multiple systemic involvement with increased morbidity and mortality rates. With improved health systems, childhood survivals, and absence of a cure, the aging SCD population is facing multifaceted effects from acute-on-chronic vascular, inflammatory, and thrombotic injury. Life expectancy for adults with sickle cell anemia remains stubbornly stagnant in the fifth decade of life.1 Adults with SCD encounter significant disease-related complications which may include stroke, pulmonary hypertension, nephropathy, congestive heart failure, sickle leg ulcers, and avascular necrosis (AVN) of the femoral or humeral heads.2

Quality of life (QoL) is a broad multidimensional concept that usually includes subjective evaluations of both positive and negative aspects of life.3 Health, emotional well-being, social dysfunction, chronic pain, and fatigability form the domains of overall complex QoL.4 The severity of the disease is, in general, inversely proportional to the QoL.5 Health-related QoL (HRQoL) refers to the physical, psychological, and social domains of health seen in areas influenced by a person's experiences, beliefs, expectations, and perceptions.6,7 The closer a person's life is to the standard of normalcy, the better the HRQoL.8 There are numerous reports of the impact of SCD on the psychosocial health, with a resultant lack of psychological stability and social integration.8,9

Studies in both children and adolescents with SCD have reported poor HRQoL in qualitative studies using focus groups10,11 and comparatively fare worse in their HRQoL than those of controls on health surveys.12 Despite the considerable evidence in children for reduced HRQoL in SCD, there are few reports from evaluation of the impact of this disease on HRQoL in adults.10,13

The impact of this disease on psychosocial HRQoL for adults may be even greater than for children. Reports from a recent study showed depression and anxiety accounted for more of the variance in all domains of QoL than hemoglobin (Hb) type.14 A similar study also reported that underlying stress and coping mechanism accounted for 44%–50% of dissimilarity in psychological adjustment to the disease.15 HRQoL, in general, can be further worsened by poor socioeconomic conditions, lack of social support, episodic, debilitating pain associated with substantial analgesic use, frequent hospitalization for pain episodes, and ultimately organ failure.16,17

Despite the fact that SCD has been largely studied in terms of population frequency clinical variations and pathogenetic mechanisms,17,18,19,20 research that addresses aspects related to HRQoL of persons living with SCD are relatively few in both the Nigerian and international literature. In this study, an in-depth assessment of the determinants of the psychosocial HRQoL among adult SCD population in Nigeria was undertaken to gain an understanding of factors that modify psychosocial impact of the disease. It may also provide health-care practitioners who care for these patients a more objective perspective on the impact and severity of this disease.

MATERIALS AND METHODS

Study area

This study was conducted between March and December 2017 among 116 patients in the Outpatient Sickle Cell Clinic of University of Nigeria Teaching Hospital (UNTH), Ituku-Ozalla, Enugu. UNTH is a tertiary health facility, and patients are referred from many states in Nigeria to the facility.

Study design and patients selection

This was a cross-sectional study of 116 adults with SCD. These cohort of patients were either approached by their hematologist during consultation in the Hematology Outpatient Sickle Cell Clinic of UNTH or during their sickle cell support group meetings. A total of 116 patients above 18 years were selected consecutively.

Diagnosis of sickle cell disease

The diagnosis of SCD was made by both clinical and laboratory.

Inclusion criteria

  1. Diagnosis of SCD

  2. Age ≥18 years at the time of the interview

  3. No cognitive disturbances.

Exclusion criteria

  1. Age <18 years

  2. Patients with cognitive disturbances.

Measures

The WHO QoL 100 modified multidimensional self-administered instrument, prevalidated for use in adults with chronic disease, was used. It consisted of 31 items representing eight of the most important dimensions of HRQoL: physical function, physical role functions, emotional role functioning, bodily pain, vitality, general health, mental health, and social function, with a Cronbach's alpha of 0.82. Psychosocial variables and QoL were the primary outcome measured. Sociodemographic features such as marital status, gender, educational qualification, and type of SCD were the primary dependent variables of interest.

Sociodemographic characteristics and clinical variables

Sociodemographic and clinical information was obtained from the patients and records regarding sex, education, age, marital status, age at the first diagnosis, type of SCD, presence of complications, frequency of vaso-occlusive crisis (VOC), and history of blood transfusion.

Outcome variables

Quality of life

Health status perception was measured with questions that addressed both the physical and mental components of health. Each scale is converted directly into a 0–5 scale on the assumption that each question carries equal weight, in which 5 represents the highest level.

Subjective well-being

Subjective well-being was evaluated using questions on satisfaction with the level of life, health, personal achievement, personal relationships, social community connection, and future security. The score is the average of the items, varying from 0 to 5, in which higher values represent better subjective well-being.

Statistical analysis

Data collected was analyzed using SPSS version 22 (SPSS Inc., Chicago, Illinois, USA). Descriptive analysis of data was expressed as percentages. Binary logistic regression analysis was performed to determine sociodemographic characteristics of respondents associated with HRQoL. Variables which reached a statistical significance of ≤0.2 in the bivariable models were included in the multivariable analysis. The strength of association was measured using odds ratio and statistical significance assessed using P values and 95% confidence intervals (CIs) for odds ratio. We considered P < 0.05 statistically significant in the statistical analysis. Good QoL is defined by physical, mental, emotional, and social functioning: nil or limited painful crisis, nil depression, nil emotional stress, and able to function with the society.

Ethical clearance

The study was approved by the Health Research Ethics Committee of UNTH. Patients received information about the study and signed an informed consent form after acceptance.

RESULTS

Sociodemographic characteristics of the respondents

A total of 116 respondents returned questionnaires giving a 100% response rate. Most of the patients were male (59.5%), and majority of them were below the age of 30 years with a mean age of 25.5 ± 6.4 years. In respect to education level, 62.9% had tertiary education, while only 15.5% were married [Table 1].

Table 1.

Sociodemographic characteristics of the respondents (n=116)

Variables Categories Frequency (%)
Sex Male 69 (59.5)
Female 47 (40.5)
Age (years) 18-20 19 (16.4)
21-30 60 (51.7)
31-40 33 (28.4)
41-50 4 (3.5)
Education level Primary 11 (9.5)
Secondary 32 (27.6)
Tertiary 73 (62.9)
Marital status Married 18 (15.5)
Single 94 (81.0)
Separated 1 (0.9)
Divorced 2 (1.7)
Widowed 1 (0.9)

Clinical characteristics of the respondents

Most of the participants in the study had homozygous SS genotype (84.5%). The diagnosis was first made in childhood in majority of them (84.5%). Majority (69.8%) have been transfused in the past. All the participants experienced complications in the past, while 39.7% had VOC requiring admission between 1 and 3 times per year in the past [Table 2].

Table 2.

Clinical characteristics of the respondents (n=116)

Variables Categories Frequency (%)
Hb electrophoresis status HbSS 98 (84.5)
HbSC 15 (12.9)
HbSβ 3 (2.6)
When diagnosis was first made Childhood 98 (84.5)
Adolescent 14 (12.1)
Adult 4 (3.4)
Transfused blood before No 35 (30.2)
Yes 81 (69.8)
Complications experienced Stroke 5 (4.3)
Nephropathy 13 (11.2)
Pulmonary HBP 1 (0.9)
HBP 4 (3.4)
AVN 24 (20.7)
Ulcers 15 (12.9)
None 54 (46.6)
Frequency of VOC requiring hospital admission (per year) <1 32 (27.6)
1-3 46 (39.7)
>3 38 (32.7)

Hb – Haemoglobin; HBP – High blood pressure; HbSS – Haemoglobin SS; HbSC – Haemoglobin SC; HbSβ – Haemoglobin B Thal; AVN – Avascular necrosis; VOC – Vaso-occlusive crisis

Assessment of psychosocial health-related quality of life of the respondents

More than half of the respondents were satisfied with sleep (67.2%), perform daily living activities (50.8%), personal relationship (56.9%), and conditions of living place (62.1%). Less than half of the respondents were satisfied with their sex life (46.6%) and capacity for work (44.8%) [Table 3].

Table 3.

Respondents satisfaction with various aspects of life (n=116)

Variables Response
Never, n (%) Sometimes, n (%) Always, n (%)
Satisfaction with sleep 21 (18.1) 17 (14.7) 78 (67.2)
Satisfaction to perform daily living activities 17 (14.7) 40 (34.5) 59 (50.8)
Satisfaction with capacity for work 27 (23.3) 37 (31.9) 52 (44.8)
Satisfaction with yourself 18 (15.5) 19 (16.4) 79 (68.1)
Satisfaction with personal relationship 22 (19.0) 28 (24.1) 66 (56.9)
Satisfaction with support from friends 18 (15.5) 13 (11.2) 85 (73.3)
Satisfaction with sex life 27 (23.2) 35 (30.2) 54 (46.6)
Satisfaction with conditions of living place 29 (25.0) 15 (12.9) 72 (62.1)
Satisfaction with access to health services 24 (20.7) 24 (20.7) 68 (58.6)

Factors associated with overall quality of life of respondents

Table 4 shows factors associated with QoL of the respondents.

Table 4.

Factors associated with quality of life of respondents (n=116)

Variable QoL (n=116)
χ2 P AOR (95% CI) P
Good (70), n (%) Poor (46), n (%)
Sex
 Male 35 (50.0) 34 (73.9) 2.642 0.619 1.00
 Female 35 (50.0) 12 (26.1) 2.64 (0.87-8.00) 0.087
Age group (years)
 18-30 45 (64.3) 34 (73.9) 28.754 0.230 1.00
 31-60 25 (35.7) 12 (26.1) 1.44 (0.07-2.68) 0.376
Marital status
 Married 18 (25.7) 4 (8.7) 12.463 0.415 1.00
 Single/separated/widowed/divorced 52 (74.3) 42 (91.3) 1.25 (0.27-5.79) 0.773
Education level
 Primary 1 (1.4) 10 (21.7) 14.995 0.002* 1.00
 Secondary 19 (27.1) 13 (28.3) 10.17 (1.54-67.29) 0.016*
 Tertiary 50 (71.5) 23 (50.0) 11.87 (2.05-68.84) 0.006*
Hb electrophoresis
 HbSS 56 (80.0) 42 (91.3) 3.507 0.744 1.00
 HbSC 12 (17.1) 3 (6.5) 0.58 (0.04-9.01) 0.701
 HbSβ 2 (2.9) 1 (2.2) 2.02 (0.09-44.98) 0.658

*AOR – Adjusted odds ratio; 95% CI – 95% confidence interval; Reference category – 1; QoL – Quality of life; Hb – Haemoglobin; HbSS – Haemoglobin SS; HbSC – Haemoglobin SC; HbSβ – Haemoglobin B Thal

Of 22 married SCD patients, 18 (81.8%) had a good QoL, while 4 (18.2%) had a poor QoL. On the other hand, 52 (55.3%) of 94 unmarried participants had a good QoL, while 42 (44.7%) had the poor life quality.

After adjusting for age, sex, marital status, level of education, and Hb electrophoresis, the odds for a good QoL were about three times among females compared to males (adjusted odds ratio [AOR] =2.64, 95% CI = 0.87–8.00, P = 0.087). The odds for good QoL were about 1.3 times higher among married participants compared to those that were single/separated/divorce (AOR = 1.25, 95%CI = 0.27–5.79, P = 0.773) and about 11.8 times higher among those that had tertiary education compare to those that had only primary education (AOR = 11.87, 95% CI = 2.05–68.84, P = 0.006). However, the odds for QoL were 42% lower among participants with hemoglobin SC (HbSC) compared to those with hemoglobin SS (HbSS) (AOR = 0.58, 95%CI = 0.04–9.01, P = 0.701).

DISCUSSION

This study showed that SCD is associated with restrictions of different characteristics of HRQoL. The findings are similar to the studies conducted in the United Kingdom, the United States of America, Saudi Arabia, and Brazil.10,16,21,22 These findings concerning gender are similar to the studies done in the Mecca region, Saudi Arabia, and Brazil23,24 but were in contradictions to some other studies in the UK and India,25,26 Majority of the participants were between the age of 18–30 years of age (68.1%) and had better QoL (64.3%) compared to those older than 30 years (35.7%). This is similar to the findings in the study conducted in Brazil and Saudi Arabia.24,27 Surprisingly in this study, those who were single/separated/divorced had a better QoL than those who were married. This is contradictory to the findings reported in some studies.11,24,26 Concerning educational level, majority of the participants 62.9% had tertiary education, while 8.5% had primary education. This high literacy level of the participants might have accounted for high satisfaction with living conditions in this study.

The study revealed that 84.5% of the participants had HbSS and 2.6% had Hamoglobin B thalassemia. This finding is similar to other studies that reported HbSS as the most common.16,17,24 Despite the fact that HbSC trait is largely confined to the Yoruba people of Southwest Nigeria where it appears in about 6%, lower than 12.9% documented in this study.28 The diagnosis of SCD was made during childhood in 84.5% of the participants, and this early diagnosis might have be as a result of the investigations of the features of the sickle cell crises experienced during the period at health facilities.

Majority of the participants 69.8% had been transfused with blood in the past. This confirmed constant hemolytic process reported among SCD patients. Many complications such as stroke, nephropathy, ulcers, and AVN were reported in the study. About 46.6% of the participants had not experienced any acute complications contrary to the findings in another study where all patients experienced some.24,29

This study showed that 18.1% of the participants never had satisfactory sleep. This could be responsible for other medical problems among the participants. This result is similar to the findings reported in some studies.21,23 More than half of the participants (50.8%) always had satisfaction to perform daily living activities, lower than findings in another study where 70% satisfaction was reported.23 Satisfaction with personal relationship in this study of 19% is higher than 5% reported in another study conducted in Saudi Arabia.23 This aspect is very important in the QoL among the participants, as this can be related to the level of stigma in the society which has effects on living conditions of individuals. Only 46.6% of the participants had satisfaction with their sex life. The reasons for this poor satisfaction with sex life could be due to some complications experienced by the participants. Concerning access to health services, more than half 58.6% had satisfaction with their access to care. This might be due to a high literacy level of the participants, expected to have better socioeconomic conditions, more so that the study was conducted in urban hospital settings.

This study assessed the factors that are associated with psychosocial HRQoL. The odds for good QoL were about three times higher among females compared to males similar to the findings in the study conducted in Saudi Arabia.21 It however contradicted some studies that reported poorer QoL among females compared to their male counterparts.9,30 The findings in this study could be due to the fact that females were not engaged in rigorous activities, and this might had affected their QoL. The study revealed that the odds for good QoL were about one and half times higher among those older than 30 years compared to those who were between 18 and 30. Surprisingly in this study, the odds for good QoL were about 1.3 times higher among participants who were single/separated/divorced/widowed compared to those who were married. The odds for good life were about 42% less among participants who were HbSS compared to those that were HbSC. Concerning education, the higher the literacy level, the better the QoL. The odds for good QoL were about 10 times better among participants who had secondary education compared to those who had primary education, while they were 12 times higher among those who had tertiary education. The differences could be due to possible higher socioeconomic status.

CONCLUSIONS

It is concluded from this study that adults with SCD have impaired psychosocial QoL. After adjusting for marital status, age, gender, and educational qualification of adults with SCD, only educational status significantly affected the psychosocial HRQoL. There is a need to upscale patient-focused interventions to improve self-esteem and overall QoL.

Ethical approval and consent to participate

Ethical approval was obtained from Health Research Ethics Committee of the University of Nigeria Teaching Hospital, Ituku-Ozalla, Enugu. Informed written consent was obtained from the participants.

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent forms. In the form, the patients have given their consent for their images and other clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

Acknowledgments

The authors would like to thank all participants in this study. All the research assistants are acknowledged for the assistance during conduction of this research.

REFERENCES

  • 1.Pecker LH, Little J. Clinical manifestations of sickle cell disease across the lifespan. In: Meier E, Abraham A, Fasano R, editors. Sickle Cell Disease and Hematopoietic Stem Cell Transplantation. Cham: Springer; 2018. [Google Scholar]
  • 2.Platt OS, Brambilla DJ, Milner PF, Rosse WF, Milner PF, Castro O, et al. Mortality in sickle cell disease: Life expectancy and risk factors for early death. N Engl J Med. 1994;330:1639–44. doi: 10.1056/NEJM199406093302303. [DOI] [PubMed] [Google Scholar]
  • 3.Testa MA, Simonson DC. Assessment of quality of life outcomes. Curr Concept. 1996;334:835–40. doi: 10.1056/NEJM199603283341306. [DOI] [PubMed] [Google Scholar]
  • 4.Ware JE, Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30:473–83. [PubMed] [Google Scholar]
  • 5.Bhagat VM, Baviskar SR, Mudey AB, Goyal RC. Poor health related quality of life among patients of sickle cell disease. Indian J Palliative Care. 2014;20:107–11. doi: 10.4103/0973-1075.132622. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ferrans CE. Quality of life: Making sense of a multidimensional concept. Nurse Investigator. 1995;2:9. [Google Scholar]
  • 7.Karimeldin MA. The impact of sickle cell anaemia on the quality of life of sicklers at school age. J Fam Med Primary Care. 2019;8:468–71. doi: 10.4103/jfmpc.jfmpc_444_18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Thomas VJ, Taylor LM. The psychosocial experience of people with sickle cell disease and its impact on quality of life: Qualitative findings from focus groups. Br J Health Psychol. 2002;7:345–63. doi: 10.1348/135910702760213724. [DOI] [PubMed] [Google Scholar]
  • 9.Fuggle P, Shand PA, Gill LJ, Davies SC. Pain, quality of life, and coping in sickle cell disease. Arch Dis Child. 1996;75:199–203. doi: 10.1136/adc.75.3.199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Anie KA, Steptoe A, Bevan D. Sickle cell disease: Pain, coping and quality of life in a study of adults in the UK. Br J Health Psychol. 2002;7:331–44. doi: 10.1348/135910702760213715. [DOI] [PubMed] [Google Scholar]
  • 11.Kambasu DM, Rujumba J, Lekuya HM, Munube D, Muperre E. Health-related quality of life of adolescents with sickle cell disease in sub-Saharan Africa: A cross-sectional study. BMC Haematol. 2019;19:1–9. doi: 10.1186/s12878-019-0141-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ramsey LT, Woods KF, Callahan LA, Mensay GA, Barbeau P, Gutin B. Quality of life improvement for patients with sickle cell disease. Am J Hematol. 2001;66:155–6. doi: 10.1002/1096-8652(200102)66:2<155::AID-AJH1038>3.0.CO;2-D. [DOI] [PubMed] [Google Scholar]
  • 13.Anie KA, Egunjobi FE, Akinyanju OO. Psychosocial impact of sickle cell disorder: Perspectives from a Nigerian setting. Globalization Health. 2010;6:2. doi: 10.1186/1744-8603-6-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Levenson JL, McClish DK, Dahman BA, Bovbjerg VE, de Citero VA, Penberthy LT, et al. Depression and anxiety in adults with sickle cell disease: The PiSCES Project. Psychosomat Med. 2008;70:192–6. doi: 10.1097/PSY.0b013e31815ff5c5. [DOI] [PubMed] [Google Scholar]
  • 15.Thompson RJ, Gil KM, Abrams MR, Phillips G. Stress, coping, and psychological adjustment of adults with sickle cell disease. J Consult Clin Psychol. 1992;60:433–40. doi: 10.1037//0022-006x.60.3.433. [DOI] [PubMed] [Google Scholar]
  • 16.McClish DK, Penberthy LT, Bovbjerk VE, Roberts JD, Aisiku IP, Levenson JL, et al. Health related quality of life in sickle cell patients. The PiSCES Project. Health Q Life Outcomes. 2005;3:50. doi: 10.1186/1477-7525-3-50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Carlton D, Petra L, Seungshin R. Health- related quality of life in adults with sickle cell disease (SCD): A report from the comprehensive sickle cell centers clinical trial consortium. Am J Hematol. 2011;86:203–5. doi: 10.1002/ajh.21905. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Araújo JT. Inter- American Symposium on Hemoglobins: Genetic, Functional and Physical Studies on Hemoglobins. Geographical Distribution and Accident of Hemoglobins in Brazil. Caracas. 1971 [Google Scholar]
  • 19.Alvim RC. Profile and impact of pain in children and adolescents with sickle cell disease: An experimental clinical study of the effect of piracetam in the prevention of pain crises. Belo Horizonte: Faculty of Medicine, Federal University of Minas Gerais; 2002. [Google Scholar]
  • 20.Bunn FH. Pathogenesis and treatment of sickle cell disease. N Engl J Med. 1997;337:762–9. doi: 10.1056/NEJM199709113371107. [DOI] [PubMed] [Google Scholar]
  • 21.Amr MA, Amin Uvedi P. Epidemiology of, Al-Omair OA. Health related quality of life among adolescents with sickle cell disease in Saudi Arabia. Pan Afr Med J. 2011;8:10. doi: 10.4314/pamj.v8i1.71057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Menezes AP, Len CA, Hilario MO, Terreri MT, Braga JA. Quality of life in patients with sickle cell disease. Rev Paul Pediatr. 2013;3:21–7. doi: 10.1590/s0103-05822013000100005. [DOI] [PubMed] [Google Scholar]
  • 23.Alharbi EA, Alamri RF, AlJerayan ES, Salawati HS, Al-Mjershi SM. Quality of life assessment for children with sickle cell disease (SCD) in Mecca region. Int J Med Sci Public Health. 2016;5:901–5. [Google Scholar]
  • 24.Vilela RQ, Cavalcante JC, Cavalcante BF, Araujo DL, Lobo MD, Nunes FA. Quality of life of individuals with sickle cell disease followed at referral centers in Alagoas, Brazil. Rev Bras Hematol Hemoter. 2012;34:442–6. doi: 10.5581/1516-8484.20120110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Constantinou C, Payne N, Inusa B. Assessing the quality of life of children with sickle cell anaemia using self, parent-proxy, and health care professional-proxy reports. Br J Health Psychol. 2015;20:290–304. doi: 10.1111/bjhp.12099. [DOI] [PubMed] [Google Scholar]
  • 26.Kamble M, Chatruvedi P. Epidemiology of sickle cell disease in a rural hospital of central India. Indian Pediatr. 2000;37:391–6. [PubMed] [Google Scholar]
  • 27.Ahmed AE, Alaskar AS, Al-Suliman AM, Jazieh AR, McClish DK, Salah MA, et al. Health-related quality of life in patients with sickle cell disease in Saudi Arabia. Health Q Life Outcomes. 2015;13:183–92. doi: 10.1186/s12955-015-0380-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Akinyanju OO. A profile of sickle cell disease in Nigeria. Ann NY Acad Sci. 1989;565:126–36. doi: 10.1111/j.1749-6632.1989.tb24159.x. [DOI] [PubMed] [Google Scholar]
  • 29.Nwogoh B, Ofovwe CE, Omoti CE. Health related quality of life in sickle cell disease subjects in Benin City. Afr J Med Health Sci. 2016;15:80–5. [Google Scholar]
  • 30.James V, Tasha B, Micheal S. The PedsQL 4 0 as a school population health measure: Feasibility, reliability, and validity. Q Life Res. 2006;15:203–15. doi: 10.1007/s11136-005-1388-z. [DOI] [PubMed] [Google Scholar]

Articles from Nigerian Medical Journal : Journal of the Nigeria Medical Association are provided here courtesy of Nigerian Medical Association

RESOURCES