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Original Article
4 (
); 48-56

Caregivers of schizophrenic patients in Calabar: Extent and predictors of burden

Department of Psychiatry, University of Calabar, Calabar, Cross River, Nigeria
Department of Clinical Services, Federal Neuropsychiatric Hospital, Calabar, Cross River, Nigeria
Corresponding author: Chidi John Okafor, Department of Psychiatry, University of Calabar, Etta-Agbor Road Calabar, Calabar, Cross-River, Nigeria.
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Okafor CJ, Emedoh T. Caregivers of schizophrenic patients in Calabar: Extent and predictors of burden. Calabar J Health Sci 2020;4(2):48-56.



Caregivers of people with mental disorders usually experience consequences which might generate burden and have an effect on each aspect of their life. This study aimed to assess the extent and associated factors of burden on caregivers of schizophrenic patients seen at the Federal Psychiatric Hospital Calabar, Nigeria.

Material and Methods:

A hospital-based cross-sectional study design was used to study 100 consecutive caregivers of patients with schizophrenia seen at the outpatient clinic of the hospital between 15 December 2019 and 21 April 2020. Data were collected from the study participants using socio-demographic questionnaire, Patient Health Questionnaire-9, Brief Psychiatric Rating Scale (BPRS), and Family Burden Interview Schedule. Quantitative data were presented as mean (standard deviation) and categorical data as frequency/percentages. Statistical analysis was performed using independent sample t-test. Multivariate analysis was performed to determine the predictors of burden on caregivers. All values of P < 0.05 were considered significant.


Ninety percent and 88% of the caregivers, respectively, had some level of objective and subjective burden. The factors associated with objective burden on the caregivers were employment status of the patient, BPRS score, number of suicide attempts, and number of hours per week the caregiver was in contact with the patient. The subjective burden was associated with BPRS score, number of hospitalization, number of relapses, monthly income of the caregiver, and caregiver’s level of education. The employment status of the patient significantly predicted objective burden on the caregiver (P < 0.001).


This study showed that caregivers of patients with schizophrenia experience high level of burden. The study also identified factors which might guide clinicians to institute intervention programs aimed toward reducing burden on the caregivers of schizophrenic patients.




The advent of community-based care for people with psychopathology has seen members of the family become active participants in treatment strategies by providing home care to rehabilitate their ill relatives. Care giving comes with many challenges and also the role of caring affects every aspect of the caregiver’s life with this consequence formally called burden of care.[1]

Burden of care refers to the “totality of the experience of caring for an ill person, including effects on the physical, psychological and socio-economic well-being, as well as the capacity to cope with and adjust to that circumstance.”[2] Burden is further divided into objective and subjective domains. The objective burden refers to the practical problems that result from the illness such as financial difficulties, disruption of family relationship, constraints in social, and leisure and work activities. Subjective burden, on the other hand, essentially describes the psychological reactions which family members experience in caring for an ill relative for example, feeling of anxiety.[3]

Psychiatric disorders contribute considerably to the current global burden of disease and about one fourth of the global population will develop a psychiatric disorder at some point during their lives.[4,5] The burden that family experience as a result of one among its members having a psychiatric disorder has continued to generate much interest among researchers. Schizophrenia is a psychiatric disorder which affects over 21 million people worldwide. Its early onset without considerably reducing the individual’s life span makes caring for the patient a long-term task. This caring role exerts a toll on the well-being of the caregivers.

Reports from the literature indicate that several factors influence burden of care in caregivers. Some caregiver factors found to be associated with high level of burden include: Old age, female gender[6,7] living with patients,[8] poor social support,[9] lower level of education,[10] many hours of contact per day/week with patient, and high-income status.[11,12] Associated patient factors include: Lower educational status,[9] unemployed patients,[13] longer duration of illness, and severe symptoms.[14,15]

Gulseren et al. in a study of caregivers of schizophrenic patients in Turkey found that higher burden score was significantly associated with male patients, feminine caregivers, patient’s violent behaviors toward caregivers, and caregivers with lower family support.[16]

Grandon et al. in Chile studied 100 primary caregivers of patients with schizophrenia using the Family Burden Interview Schedule (FBIS). They reported that high level of burden was related to lower patient educational status, higher frequency of relapse, and less social support.[17] The limitation of their study was that burden was treated as a one-dimensional variable with no assessment of variables that predict the objective and subjective dimensions.

Various findings have also been made by earlier researchers in Nigeria.[13,18] Ukpong in a study conducted in Osun state found higher level of burden in caregivers who were living within the same household with patients, had lower level of education and(or) had psychological distress. The patients factors associated with higher level of burden as reported in that study were lower level of education, unemployed patients, longer period of illness, and high scores in the psychopathologic scales.[13] Although the author found that living within the same household was associated with burden on the caregivers, he did not assess for the caregivers hours of contact per week with the patients. Abdulkareem et al. in their study in Katsina state reported the rate of burden to be 43% and associated factors to include family size and place of residence.[18] They did not find any significant association with duration of illness. Both the Osun and Katsina state studies used Zarit Burden Interview (ZBI) to assess for burden on the caregivers. The use of ZBI is limited by the fact that it does not highlight aspects of burden that is specific to our culture, such as the burden of taking the patient to churches or spiritual homes for prayers and also the cost of visits to native healers. Moreover, neither of the studies investigated the other variables which have been found to be considerably related to burden in caregivers, for example, number of relapses/suicide attempts.

Lasebikan et al. in Ibadan, Oyo state, used modified version of FBIS to assess for burden in 368 caregivers of patients with schizophrenia. This modified version takes into consideration the socioeconomic and cultural situations that prevail in Nigeria which are different from those of the Western world. They found that 85.3% of caregivers experienced some level of objective burden and 84.2% of them experienced subjective burden. Caregiver factors associated with the higher level of objective burden as reported by the authors were old age, unemployment, higher level of education, and spending fewer hours per week with patients. Longer duration of patents’ illness was also associated with high level of burden.[19] However, the authors did not assess the impact of patient’s socio-demographic variables on burden. Another setback of their study was that the factors found to correlate with burden were not subjected to further analysis (regression analysis) thereby limiting the interpretation of their findings.

Considering that the well-being of caregivers usually has an effect on patients’ outcome, it is necessary that each of the factors which could be related with burden of care in caregivers of schizophrenic patients be fully understood. Sadly, these factors are still sparsely researched in Nigeria. We hope that findings from this study can contribute data in this regard.


Study design and location

This was a hospital-based cross-sectional study conducted at the general out-patient clinic of the Federal Psychiatric Hospital Calabar (FPHC). Calabar, the capital of Cross River state is a metropolitan city that comprises two local government areas (LGAs); Calabar Municipal and Calabar south LGAs. The FPHC is located within Calabar south LGA. The FPHC offers a range of mental health services including emergency psychiatric services, outpatients and inpatients care among others. At present, the hospital’s outpatient clinic runs every week day (except on Wednesdays and public holidays).

Study participants and sample size

The study was conducted among caregivers of schizophrenic patients seen in the clinic between December 15 2019 and April 21 2020. A minimum sample size of 96 was calculated using the following parameters (i) 50% burden, (ii) 10% margin of error, and (iii) 95% confidence level. The calculated sample size of 96 was rounded off to 100. The inclusion criteria were (i) Consenting Caregivers of schizophrenic patients (diagnosis must have been confirmed by a consultant psychiatrist), (ii) must be 18 years and above and be directly involved in caring for the patients on a daily basis, and (iii) must have been living with the patient for at least 1 year. The exclusion criteria were (i) having another family member (other than the patient) with psychiatric illness or a major medical illness such as diabetes or hypertension and (ii) not being able to read/ understand the questions in the questionnaire.

Data collection

Data collection took place every clinic day between the hours of 10 am and 4 pm. Data were collected using socio-demographic questionnaire (SDQ), Patient Health Questionnaire-9 (PHQ-9), Brief Psychiatric Rating Scale (BPRS), and FBIS. The patients’ case notes were reviewed to ensure that their diagnoses of schizophrenia had been confirmed by a consultant psychiatrist.

The SDQ was designed by the researchers and has two parts. The first part was used to obtain information on the characteristics of the patient while the second part was used to obtain information on the characteristics of the caregiver.

The FBIS, originally developed in India, is a semi-structured interview schedule that measures both objective (24 items) and subjective (1 general question) aspects of burden.[20] The objective burden part comprises six sub-domains and these include; financial burden, effects on routine family activities, effects on family leisure, effects on family interactions, effect on physical health of others, and effect on mental health of others. Each item of the objective burden is rated on a 3-point scale (0 = no burden, 1 = moderate burden, and 2 = severe burden). The total objective burden score is obtained by adding the rating for each of the 24 items and a possible total score range from 0 to 48. A score of 0 represents no burden, 1–24 means moderate burden and 25–48 indicates severe burden. Subjective burden is assessed by asking one general question (“How much would you say you have suffered owing to the patient’s illness”) and the response will be scored as 2 (severely), 1 (little), or 0 (not at all). A modified version of this FBIS was developed in Ibadan, Nigeria. The modifications included aspects of burden that is peculiar to the socio-economic and cultural conditions of Nigeria. This modified version has good psychometric properties with a reported significant Cronbach alpha of between 0.62–0.82 for each item and an inter-rater reliability in the range of 0.48–0.92.[21] The present study utilized this modified version of the FBIS.

The PHQ-9 is derived from primary care evaluation of mental disorder (PRIME-MD).[22] It assesses depressive symptoms as well as measures the severity of symptoms. The instrument consists of nine items each of which can be scored from 0 to 3. The possible total score range from 0 to 27. A score of 10 or higher is indicative of moderate or severe depression.

The BPRS was developed in 1962 and has undergone several modifications.[9] The instrument measures both psychotic and non-psychotic symptoms in major psychiatric disorders. It consists of 18-items which are scored on a seven point scale, (1 = not present, and 7 = extremely severe). It is clinician administered and the scoring is made on observation of the patient during an interview. The instrument has good reliability in clinical use and has been used in Nigeria.[10,11]

Ethical consideration

Ethical approval with protocol number FPHC/RP/ REC/2019/12 was obtained on the May 18, 2019, from the ethics committee of the FPHC. The participants were duly informed about the purpose of the study after which they signed a consent form indicating their willingness to participate.


Every clinic day, the case-notes of consecutive patients were reviewed for clinical information after consultation with the attending psychiatrist was over. Cases with confirmed diagnosis of schizophrenia together with the caregivers who accompanied them to the clinic were identified and, if eligible, were invited to participate in the study. Those that gave their consent were recruited into the study. With the help of the researchers, the patient completed the PHQ-9 and the first part of the SDQ. Thereafter, (s)he was evaluated with the BPRS. The patient was then excused from the consulting room while the caregiver who was present with the patient at the time of recruitment filled the second part of the SDQ and FBIS. The caregiver of unaccompanied patient was contacted on phone with the permission of the patient and was requested to come with the patient during the next clinic visit where (s)he was also requested to participate in the study. This procedure was followed until the required sample size was attained.

Data analysis

Data obtained were keyed in and analyzed using Statistical Package for the Social Sciences (SPSS) version 20.0 (SPSS Inc., Chicago, IL, USA). The results were summarized using descriptive statistics such as frequency counts, percentages, and mean and standard deviations. The scores on PHQ-9 were categorized into two groups based on the presence or absence of depression. Likewise, the number of suicide attempts was categorized into two using the 90th percentile as the reference point. Each of the other quantitative independent variables such as monthly income, amount spent per month, hours of contact per week, and number of hospitalization, among others was also split into two groups using the median value of the variable as cutoff point. The statistical difference between the means of the burden scores in the groups was determined using student’s t-test. Regression analyses were performed to determine the predictors of burden. Level of significant was set at P = 0.05


The socio-demographic and clinical characteristics of the patients are shown in Table 1.

Table 1: Socio-demographic and clinical characteristics of the patients.
Socio-demographic variables n=100 (%)
Age group (years)
20–40 73 (73)
41–60 23 (23)
>60 4 (4)
Mean(SD) 35.66 (10.28)
Male 42 (42)
Female 58 (58)
Marital status
Married 33 (33)
Others 67 (67)
Educational status
<Tertiary 69 (69)
≥Tertiary 31 (31)
Unemployed 63 (63)
Employed 37 (37)
Clinical variables Mean (SD)
Duration of illness (years) 9.10 (6.58)
Number of relapses 3.12 (1.84)
Number of suicide attempts 0.31 (0.76)
Number of hospitalization 2.45 (1.87)
PHQ-9 score 5.55 (4.65)
BPRS score 32.15 (11.16)

BPRS: Brief Psychiatric Rating Scale, PHQ-9: Patient health questionnaire-9

Table 2 shows the demographic characteristics of the caregivers. As shown in Table 2, their mean age was 51.33 ± 10.77 years. The majority of the caregivers (55%) spent more than 71.9 h/week with the patient with 75.10 ± 42.88 h as mean number of hours of contact with the patient per week.

Table 2: The socio-demographic characteristics of the caregivers.
Variables n=100 (%)
Age group (years)
20–40 18 (18)
41–60 63 (63)
>60 19 (19)
Mean(SD) 51.33 (10.77)
Male 39 (39)
Female 61 (61)
Marital status
Married 76 (76)
Others 24 (24)
Number of children
≤3 40 (40)
>3 60 (60)
Mean(SD) 4.23 (2.46)
Educational status
< Tertiary 77 (77)
≥Tertiary 23 (23)
Unemployed 10 (10)
Employed 90 (90)
Monthly income in Naira (US Dollar)
<40,000 (104 Dollars) 64 (64)
≥40,000 (104 Dollars) 36 (36)
Amount spent on treatment in Naira
per month (US Dollar)
<3838.90 (10 dollars) 56 (56)
≥3838.90 (10 dollars) 44 (44)
Hours of contact (hours)/week
<71.9 45 (45)
≥71.9 55 (55)
Mean(SD) 75.10 (42.88)
Type of relationship
Parents 53 (53)
Spouse 20 (20)
Children 6 (6)
Siblings 17 (17)
Others 4 (4)

BPRS: Brief Psychiatric Rating Scale

Ninety percent of the caregivers suffered some level of objective burden. Out of these, 56% had moderate level of burden while 34% had severe level of burden. The mean score for total objective burden was 20.28 ± 10.66. This is shown in Figure 1.

Caregivers level of total objective burden. Mean (SD) score for total objective burden =20.28 (10.68).
Figure 1:
Caregivers level of total objective burden. Mean (SD) score for total objective burden =20.28 (10.68).

As illustrated in Figure 2, 62% of the caregivers had moderate level of subjective burden while 26% had severe level. Thus, 88% of the caregivers reported having subjective burden. The mean score for subjective burden was 1.14 ± 0.60

Level of total subjective burden in caregivers. Mean (SD) score for total objective burden =1.14 (0.60).
Figure 2:
Level of total subjective burden in caregivers. Mean (SD) score for total objective burden =1.14 (0.60).

Table 3 shows patient’s characteristics which are associated with the total objective/subjective burden. As shown in Table 3, the characteristics that were significantly associated with objective burden scores were employment status of the patients (P < 0.001); being a patient who is unemployed is associated with higher total objective burden on the caregivers. Furthermore, BPRS score (P < 0.001), PHQ-9 score (P = 0.029), and number of suicide attempts by the patient (P = 0.020), each had a significant association with objective burden. On the other hand, the characteristics that were associated with subjective burden include employment status of the patients (P = 0.013), PHQ-9 score (P = 0.005), BPRS scores (P = 0.001), number of relapse (P = 0.013), and number of hospitalization (P = 0.002).

Table 3: The relationship between patient’s socio-demographic/clinical characteristics with subjective/objective burden in caregivers.
Variables Subjective burden Objective burden
Mean (SD) t-test df P-value Mean (SD) t-test df P-value
Age group
<40 1.16 (0.56) 1.710 98 0.090 21.51 (10.17) 1.735 98 0.086
≥40 1.10 (0.70) 17.55 (11.36)
Male 1.21 (0.56) 1.048 98 0.297 20.83 (10.42) 0.440 98 0.661
Female 1.09 (0.63) 19.87 (10.90)
<Tertiary 1.17 (0.57) 0.837 98 0.404 20.28 (10.28) 0.006 98 0.995
≥Tertiary 1.06 (0.68) 20.29 (11.64)
Employment status
Unemployed 1.25 (0.57) 2.531 98 0.013 24.54 (9.21) 6.093 98 <0.001
Employed 0.95 (0.62) 13.03 (8.98)
PHQ score
<5 0.98 (0.61) 2.843 98 0.005 18.06 (10.83) 1.852 98 0.029
≥5 1.31 (0.55) 22.69 (10.03)
Duration of illness
<10 years 1.07 (0.62) 1.101 98 0.274 18.22 (12.22) 1.765 98 0.081
≥10 years 1.20 (0.59) 21.96 (8.94)
<31 0.94 (0.58) 3.554 98 0.001 16.65 (9.36) 3.693 98 <0.001
≥31 1.35 (0.56) 24.06 (10.70)
No of relapse
<3 0.98 (0.61) 2.541 98 0.013 20.26 (8.60) 0.016 98 0.987
≥3 1.28 (0.56) 20.30 (12.10)
No of hospitalization
<3 0.96 (0.60) 3.111 98 0.002 18.40 (10.10) 1.783 98 0.078
≥3 1.32 (0.55) 22.16 (10.97)
No of suicide attempt
<3 1.00 (0.00) 0.330 98 0.742 19.93 (10.47) 2.361 98 0.020
≥3 1.14 (0.61) 37.50 (3.54)

BPRS: Brief Psychiatric Rating Scale, PHQ-9: Patient health questionnaire-9

In terms of characteristics of caregiver, there was a significant association between the number of hours of contact with the patient and objective burden (P = 0.045). Caregivers who spend more time in contact with the patient had higher level of objective burden. The subjective burden on the caregivers was significantly associated with caregivers educational status (P = 0.039) and monthly income (P = 0.040). Caregivers with less than tertiary education and those with lower monthly income (<N40,000/month which is equivalent to 104 US dollars/month) were associated with higher level of subjective burden. This is shown in Table 4.

Table 4: The relationship between caregiver characteristics and subjective/objective burden in caregivers.
Caregiver Subjective burden Objective burden
Mean (SD) t-test df P-value Mean (SD) t-test df P-value
Age group (years)
<40 1.08 (0.64) 0.042 98 0.688 20.69 (8.14) 0.149 98 0.882
≥40 1.15 (0.60) 20.22 (11.02)
Male 1.10 (0.64) 0.494 98 0.622 20.41 (9.85) 0.097 98 0.923
Female 1.16 (0.58) 20.20 (11.22)
Number of children
≤3 1.10 (0.62) 0.465 98 0.643 19.68 (9.67) 0.465 98 0.643
>3 1.17 (0.59) 20.69 (0.59)
Educational status
<Tertiary 1.21 (0.61) 2.091 98 0.039 20.65 (10.82) 0.632 98 0.529
≥Tertiary 0.91 (0.51) 19.04 (10.24)
Marital status
Others 1.25 (0.53) 1.025 98 0.308 23.75 (9.05) 1.852 98 0.067
Married 1.10 (0.62) 19.18 (10.94)
Monthly income in naira (US Dollar)
<40,000 (104 dollars) 1.23 (0.58) 2.085 98 0.040 21.51 (10.96) 2.582 98 0.117
≥40,000 (104 dollars) 0.97 (0.62) 18.00 (9.82)
Amount spent per month in naira (US Dollar)
<3838.90 (10 dollars) 1.14 (0.55) 0.053 98 0.958 20.50 (10.32) 0.232 98 0.817
≥3838.90 (10 dollars) 1.14 (0.67) 20.00 (11.18)
Hours of contact per week
<71.9 1.07 (0.54) 1.101 98 0.274 17.98 (8.97) 1.983 98 0.045
≥71.9 1.20 (0.65) 22.16 (11.61)

The independent predictors of burden on the caregivers of patients with schizophrenia are shown in Table 5. As shown, the employment status of the patient was the only significant predictor of the total objective burden (P < 0.001) while the subjective burden was not predicted by any of the patient’s nor caregiver’s variables.

Table 5: Regression analysis for the total objective burden and subjective burden on caregivers.
Variable B Std. error Beta t P-value R2
Total objective burden 0.473
Hours of contact 0.420 1.741 0.020 0.241 0.660
No. of suicide attempts 9.355 5.981 0.124 1.564 0.121
BPRS score 2.048 1.860 0.097 1.101 0.274
PHQ-9 score 3.155 1.721 0.149 1.834 0.070
Employment status of patient −8.786 1.738 −0.400 −5.054 <0.001
Subjective burden 0.307
Employment status of patient −0.149 0.115 −0.120 −1.297 0.198
BPRS score 0.174 0.131 0.145 1.324 0.189
PHQ-9 score 0.153 0.119 0.126 1.289 0.201
Number of relapse 0.118 0.122 0.098 0.973 0.333
Number of hospitalization 0.192 0.120 0.160 1.604 0.112
Caregiver monthly income −0.018 0.087 −0.022 −0.207 0.837
Caregiver educational status −0.105 0.143 −0.074 −0.735 0.464

BPRS: Brief Psychiatric Rating Scale, PHQ-9: Patient health questionnaire-9


The present study analyzed the factors which were associated with burden of care in caregivers of patients with schizophrenia.

Over four-fifth (90%) of the caregivers had some level of objective burden and a comparable proportion (88%) experience subjective burden. These rates match the 85.3% and 84.2%, respectively, for objective and subjective burden reported by Lesebikan et al. who used the same instrument (modified FBIS) in a similar study conducted in Ibadan, Nigeria.[19] Far lower rates were reported by some investigators in previous studies conducted in Osun and Katsina states of Nigeria.[13,18] Both the Osun and Katsina state studies made use of a different burden instrument (ZBI) which did not capture the aspects of caregivers burden that is peculiar to Nigeria. For example, most schizophrenics in Nigeria seek initial care in unorthodox places such as herbal and religious homes before presenting to hospitals. The financial costs involved in taking the patients to unorthodox places were not considered in those studies that used ZBI. Like in the study conducted by Lasebikan et al.,[19] the present study made use of a different instrument (modified FBIS) which unlike the ZBI took into consideration the socio-cultural situations in Nigeria. The higher rates obtained with the modified FBIS suggest that the earlier studies (in which the ZBI was used) underestimated the prevalence of burden in caregivers of schizophrenics patients in Nigeria. In Nepal outside Nigeria, Sing et al. reported a prevalence rate of 66.7% for objective burden among the relatives of a sample of forty schizophrenic drawn from a transit home.[23] The small sample size as well as the inclusion of fairly stable patients who were not living with their families could have contributed to the low rate of burden reported by Sing et al. when compared with the results of the present study.

Factors associated with burden in caregivers of patients with schizophrenia

Patient factors

Employment status

Caregivers of unemployed schizophrenics were found to be significantly associated with higher level of both objective and subjective burden. Employment in the patient increases income capacity of the family and may help to cushion the financial impact of providing care for the patients. Pickett et al. reported that family members experienced lesser burdens when the ill patient was employed.[24] This is also due to the fact that the patient need to have recovered sufficiently to be employable. A study in Western Nigeria also reported similar finding.[13]

Severity of illness

The finding of positive association between the patients score on BPRS (a scale that measures illness severity) and subjective/objective burden corroborate the findings of some other studies which reported higher caregiver burden in association with more severe illness.[25-27]

Other than symptoms, certain other illness variables were found to have important associations with burden of care.

Objective burden was significantly associated with number of suicide attempts, while subjective burden was significantly associated with number of hospital admissions/relapse. These suggest that the more severe the patient’s illness is the greater the degree of burden experienced by the caregiver of the patient. Previous research has reported that the level of caregiver burden is significantly reduced when there are fewer hospitalizations and improved social functioning of the patient.[28] On the other hand, burden is significantly increased with increased frequency of relapse/suicide attempts.[29,30]

Caregiver factors

Hours of contact with patient

Number of hours of contact per week providing care to the ill patient was significantly associated with level of objective burden. Spending much time with a patient with chronic psychopathology can result in less time at place of work or income earning activities. This could eventually culminate in less income and more financial pressure on the caregivers. In addition, more time spent providing care will lead to less time for leisure activities and disruption of routine family activities. Some previous studies have also reported a positive correlation between hours of contact with patient and level of perceived burden.[11,31]

Level of education

Subjective burden was significantly associated with the lower level of education (less than tertiary education) in this study. Similar findings have been reported in the previous studies.[13,31] Caregivers with the higher level of education tend to have better understanding of the caregiving role and are more knowledgeable in dealing with stressful events.

Income status

Caregiver’s level of monthly income was found to have an indirect association with subjective burden as the later reduces when income level increases. Higher income may lead to less financial difficulties on the caregivers in providing care for the patients. A study reported that caregiver’s lower income could be a stressor that influence stress feelings while providing care for the ill patient.[32]

Predictors of burden

Following a regression analysis to determine the factors that can significantly predict objective/subjective burden, we found the employment status of the patient as the only important predictor of objective burden. The employment status, however, was in a negative sense such that unemployed patients predicted higher level of objective burden in the caregivers. This is understandable given that the earnings from an employed patient can be channeled into his care as to reduce the financial impacts of the illness on the caregiver whereas the lack of income in an unemployed patient will result in all the financial needs of the patients being placed on the caregiver thereby increasing the likelihood of objective burden in the caregiver. None of the patient/caregiver factors was found in this study to be important predictor of subjective burden in caregivers of schizophrenics patients.


The cross-sectional nature of the study limits the causal inferences derivable from the data in terms of factors that could cause increased burden in the caregivers.


Caregivers of patients with schizophrenia experienced high level of burden in carrying out their caregiving roles. Factors which were significantly associated with higher degree of objective burden in the caregivers include unemployed patient, higher scores in the psychopathology scale (BPRS), frequent suicide attempts, and more number of hours per week, the caregiver was in contact with the patient. The subjective burden borne by caregivers was associated with BPRS scores, number of hospitalization/relapse, and level of education/monthly income of the caregiver. Of all these factors, employment status of the patient was the sole important predictor of objective burden in caregivers.

Awareness of those factors can assist clinicians managing schizophrenic patients to institute strategies aimed toward reducing burden of care on the caregivers and invariably improve the clinical course of the illness for the patients.

Declaration of patient consent

Institutional Review Board (IRB) permission obtained for the study.

Financial support and sponsorship


Conflicts of interest

There are no conflicts of interest.


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