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Research Article

Open Access, Volume 5

Assessment of Patient Satisfaction in the Outpatients’ Chemotherapy Unit of Chandaria Cancer Center, MTRH, Kenya

David Lubanga Wamukobole1*; Alex Wanjohi Kamau2

1Department of Palliative Care, Palliative Care Clinician - AIC Kijabe Hospital, Kenya.
2Department of Oncology, Clinical Officer Medical Oncologist - Nairobi County, Kenya.

Abstract

Background: Cancer remains a major cause of morbidity and mortality globally. Chemotherapy, while essential in cancer management, has profound physical and psychological implications that can affect patients’ Quality of Life (QoL) and satisfaction.

Aim: To assess patient satisfaction in the outpatients’ chemotherapy unit of Chandaria cancer centre, MTRH. Methodology: A cross-sectional descriptive study was conducted among 315 adult oncology patients receiving chemotherapy.

Systematic sampling was used. Data were collected using structured questionnaires and analyzed with SPSS v23. Descriptive and inferential statistics were applied; multivariable logistic regression identified predictors of QoL. Significance was set at p<.05.

Results: The study revealed that 80% of patients were unaware of the purpose of chemotherapy, indicating inadequate patient education. Patient satisfaction was significantly influenced by information provision (p=.004), physician availability (p=.003), information exchange (p=.001), and inclusion in decision-making (p=.008). However, patients reported receiving minimal guidance on managing chemotherapy side effects (28.9%), infection prevention (17.8%), daily activity impact (39%), ability to continue working (14%), survival expectations (16.5%), and dietary advice (1.6%). These gaps negatively affected their Quality of Life (QoL), which averaged 47.63, while overall satisfaction was 48.77%. Multivariate analysis showed that psychological well-being (AOR=1.03, p=.004), social/family well-being (AOR=1.02, p=.006), and higher education (AOR=4.3, p=.007) were positively associated with QoL, whereas advanced cancer stage (AOR=0.21, p=.012), comorbidities (AOR=0.28, p<.001), pain, nausea/ vomiting, and depression (AOR=0.29, p=.002) were negatively associated. Overall, the findings highlight significant information deficits and communication gaps that adversely impact patient satisfaction and QoL.

Conclusion: Lower patient satisfaction and QoL were associated with unmet information needs and high symptom burden. Strengthening communication, patient education, and psychosocial support is vital to improve cancer care at MTRH.

Keywords: Patient satisfaction; Chemotherapy; Quality of life; Oncology; Chandaria Cancer Center; MTRH; Kenya.

Manuscript Information: Received: Oct 21, 2025; Accepted: Nov 25, 2025; Published: Dec 02, 2025

Correspondance: David Lubanga Wamukobole, Department of Palliative Care, Palliative Care Clinician - AIC Kijabe Hospital, Kenya. Email: davidlubanga05@gmail.com

Citation: Wamukobole DL, Kamau AW. Assessment of Patient Satisfaction in the Outpatients’ Chemotherapy Unit of Chandaria Cancer Center, MTRH, Kenya. J Oncology. 2025; 5(2): 1190.

Copyright: © Wamukobole DL 2025. Content published in the journal follows creative common attribution license

Introduction

Cancer is a major public health burden and among the top causes of death worldwide. According to GLOBOCAN (2020), an estimated 19.3 million new cases and 10 million deaths occurred globally [11]. Sub-Saharan Africa faces a dual challenge of rising incidence and limited treatment capacity [5]. In Kenya, the growing number of cancer cases has strained public cancer centers, making quality-of-care assessment increasingly important.

Chemotherapy remains a vital treatment modality for solid and hematologic malignancies [1,3]. Despite its efficacy, it is often associated with fatigue, nausea, vomiting, hair loss, immunosuppression, and emotional distress (Dodd et al., 2001). These side effects can significantly impact patients’ quality of life and perceptions of care. Patient satisfaction—an indicator of perceived quality and effectiveness of services— reflects the gap between expectations and experiences [8]. Satisfied patients are more likely to adhere to treatment, maintain follow-ups, and exhibit improved outcomes [2]. This study therefore aimed to assess patient satisfaction and QoL among outpatients receiving chemotherapy at the Chandaria Cancer Center, MTRH, and to identify associated determinants.

Methods

A hospital-based cross-sectional descriptive design was conducted at the Chandaria Cancer Center, a specialized oncology unit within MTRH in Eldoret, Kenya. The facility serves a large population across Western Kenya and neighboring regions. The study population comprised adult cancer patients (≥18 years) attending the outpatient chemotherapy clinic. A sample of 315 participants was obtained using systematic random sampling. Eligibility included a confirmed cancer diagnosis, receipt of at least one chemotherapy cycle, and informed consent. Patients too ill to participate or on concurrent radiotherapy was excluded.

Data were collected using a structured questionnaire divided into sections: socio-demographics, satisfaction with chemotherapy information, QoL domains, and satisfaction with treating physicians. SPSS v23 was used for data analysis. Descriptive statistics summarized the findings, while multivariable logistic regression determined predictors of QoL. Ethical approval was obtained from MTRH/MU-IREC; all participants provided written informed consent.

Results

Respondents’ characteristics

A total of 315 participants (response rate 100%) completed the study. Most were female (70.2%) with a mean age of 45.8 years. About 53.3% had not attained secondary education, and breast cancer (26.7%) was the leading type. Stage II disease accounted for 41.6%, and 24.1% of patients reported comorbidities. One hundred thirty-one (41.6%) of participants were at stage II of cancer with good performance status (ECOG PS 0) (Table 1).

Patient satisfaction with information on chemotherapy

The study found that only 20% understood the purpose of chemotherapy, and most received limited information from healthcare providers. Only a small proportion were informed about side-effect prevention (28.9%), infection risk (17.8%), impact on daily activities (39%), ability to continue working (14%), expected survival (16.5%), and dietary advice (1.6%), indicating significant gaps in patient education and communication (Table 2).

Table 1: Socio-demographic and clinical characteristics of adult cancer patients under chemotherapy treatment at chandaria, (MTRH) Kenya 2023.
Variables Frequency (n=310) Percentage (%)
Age
18–40 102 32.4
41–49 82 26
50–59 94 29.9
> = 60 37 11.7
Sex
Female 221 70.2
Male 94 29.8
Marital status
Married 224 71.1
Single 22 7
Divorced 38 12.1
Widowed 31 9.8
Educational status
No Formal Education 25 8
Primary 36 11.4
Secondary 168 53..3
Tertiary 86 27.3
Occupational status
Casual worker 133 42.2
Self-employed 117 37.1
Government of Kenya (GoK) 49 9.2
Non-Government Organization (NGO) 16 11.5
Cancer type
Breast cancer 84 26.7
GI cancer a 74 23.5
Gynaecological cancer b 68 21.6
Haematological cancer 57 18.1
Lung cancer 17 5.4
Prostate cancer 15 4.7
Time since diagnosis
< 12 months 223 70.8
12–24 months 29 9.2
25–36 months 22 7
37–48 months 16 5.1
49–60 months 14 4.4
>60 months 11 3.5
Stage of cancer
Stage I 23 7.3
Stage II 131 41.6
Stage III 68 21.6
Stage IV 93 29.5
Comorbidity
No comorbidity 239 75.9
Hypertension 44 14
DM 16 5.1
Cardiac diseases 9 2.9
Others c 7 2.1
ECOG PS
0 215 68.3
1 74 23.5
2 12 3.8
3 14 4.4
Table 2: Patient satisfaction with information on chemotherapy.
Variables Frequency Percentage
Purpose of the chemotherapy
Neo-adjuvant 10 3.2
Adjuvant 31 9.8
Palliative 22 7
Don’t Know 252 80
Variables Frequency n (%)
Yes No
Information provide (Healthcare provider) *
Session of chemotherapy treatment 215(68.3) 100(31.7)
All possible side effects of treatment 256(81.3) 59(18.7)
Prevention or reduce side effects at home
94(28.9) 221(71.1)
Risk of infection during treatment? 56(17.8) 259(82.2)
Impact of treatment on activities of daily living
23(39) 192(61)
Possibility to continue to work life or leisure during treatment? 44(14) 271(86)
Expected survival with chemotherapy? 52(16.5) 263(83.5)
Dietary advice during treatment? 61(19.4) 254(80.6)
Possibility of treatment failure? 11(3.5) 304(96.5)
Influence of treatment on the development of cancer cells? 5(1.6) 310(98.4)
Modality of treatment apart from chemotherapy? 214(67.9) 101(32.1)
What will happen when you decide to stop chemotherapy? 278(88) 37(12)
* Multiple responds

Quality of life among cancer patients receiving chemotherapy

The study reported a mean Quality of Life (QoL) score of 47.63±10.07, with only 43.23% of participants experiencing a good QoL.

Functional and symptom scale scores

The study showed that domain scores ranged from a mean (SD) of 46.73 (23) for physical well-being to 61.07 (21.44) for cognitive well-being. Psychological well-being was the most affected domain, with 61% of participants reporting poor QoL, while cognitive functioning was the least affected, with 77.1% reporting good QoL. Among symptoms, appetite loss was the most prevalent, affecting 77.5% of participants (Table 3).

Table 3: Domain and symptom scale score among adult cancer patient undertaking chemotherapy treatment at chandaria (MTRH).
Scale/Item Mean (SD) Good QoL (%) Poor QoL (%)
Domains 48.4 (16.28) 139(44.2) 176(55.8)
Physical well-being 46.73 (23) 141(44.8) 174(55.2)
General well-being 45.75 (25.73) 138(43.8) 177(56.2)
Psychological well-being 44.48 (21.29) 123(39) 192(61)
Social/family well-being 47.53 (28.39) 150(47.6) 165(52.4)
Cognitive well-being 61.07 (21.44) 243(77.1) 72(22.9)
Symptom scale 60.16 (14.66) 65(20.6) 250(79.4)
Fatigue 66.88 (17.71) 65(20.6) 250(79.4)
Nausea and vomiting 50.91 (16.25) 120(38) 190(63)
Pain 62.31 (29.12) 106(33.7) 204(66.3)
Dyspnoea 29.68 (25.17) 251(81.3) 59(18.7)
Insomnia 48.28 (21.67) 163(51.7) 152(48.3)
Appetite loss 69.14 (26.77) 71(22.5) 244(77.5)
Constipation 39.89 (25.37) 207(65.7) 108(34.3)
Diarrhea 30.86 (23.32) 204(64.8) 111(35.2)
Financial difficulties 65.16 (25.25) 88(27.9) 227(72.1)
Table 4: Association between different domains and symptom scales with QoL of adult cancer patients undertaking chemotherapy treatment at chandaria, MTRH.
The study identified several factors influencing Quality of Life (QoL) among cancer patients. Bivariable analysis revealed that all QoL domains, most symptoms (except dyspnea and diarrhea), educational level, marital and occupational status, cancer type and stage, ECOG performance status, comorbidity, and depression were associated with QoL (p<.25). In multivariable analysis, psychological well- being, social/family well-being, financial difficulty, pain, nausea and vomiting, education level, cancer stage, comorbidity, and depression remained significant. Patients with better psychological (AOR=1.03) and social/family well-being (AOR=1.02) were more likely to have good QoL, while those experiencing pain, nausea/vomiting, or financial difficulties were less likely to report good QoL (Table 4). QoL
Variable Good QoL (%) Poor QoL (%) COR (95% CI) AOR (95% CI) p-Value
Domains
Physical well-being 141 (44.8) 174 (55.2) 1.02 (1.01– 1.03) 1.01 (1.0– 1.04) 0.277
General well-being 138(43.8) 177 (56.2) 1.02 (1.01– 1.03) 0.99 (0.97– 1.01) 0.246
Psychological well-being 123(39) 192 (61) 1.03 (1.02– 1.04) 1.03 (1.01– 1.04) .004**
Social/family well-being 150(47.6) 165 (52.4) 1.03 (1.02– 1.04) 1.02 (1.01– 1.03) .006**
Cognitive functioning 243 (77.1) 72 (22.9) 1.01 (1.00– 1.02) 1.0 (0.98– 1.02) 0.705
Symptom scale
Fatigue 65 (20.6) 250 (79.4) 0.99 (0.97– 1.00) 1.01 (0.99– 1.04) 0.224
Nausea and vomiting 120 (38) 190 (63) 0.96 (0.94– 0.97) 0.95 (0.93– 0.98) <.001**
Pain 106 (33.7) 204 (66.3) 0.95 (0.94– 0.96) 0.95 (0.93– 0.98) <.001**
Dyspnoea 251(81.3) 59 (18.7) 1.002 (0.99– 1.01) / /
Insomnia 163 (51.7) 152 (48.3) 0.99 (0.98– 1.00) 1.01 (0.99– 1.03) 0.221
Appetite loss 71 (22.5) 244 (77.5) 0.98 (0.97– 0.99) 1.01 (0.99– 1.03) 0.248
Constipation 207 (65.7) 108 (34.3) 0.99 (0.98– 1.00) 0.99 (0.98– 1.01) 0.609
Diarrhea 204 (64.8) 111 (35.2) 0.99 (0.98– 1.01) / /
Financial difficulties 88 (27.9) 227 (72.1) 0.96 (0.95– 0.97 (0.95– <.001**
n=315.

**Significant level at p<.01; *significant level at p<.05

Table 5: Bivariable and multivariable logistic regression of determinant factors with QOL of cancer patients under chemotherapy at chandaria, MTRH
Variables Good QoL (%) Poor QoL (%) COR (95% CI) AOR (95% CI) p-Value
Educational status
No formal education 17 8 1
Primary Level 15 21 1.1(0.66– 1.88) 0.94(0.48– 1.83) 0.853
Secondary Level 66 102 1.5(0.67– 3.13) 1.5(0.58– 3.90) 0.391
Tertiary Level 36 50 3.3(1.34– 8.04) 4.3(1.49– 12.32) .007*
Marital status
Married 102 122 1
Single 10 12 0.96(0.39– 2.30) /
Divorced 12 26 0.53(0.25– 1.1) /
Widowed 10 21 0.55(0.25– 1.21) /
Occupational status
Casual worker 42 91 0.59(0.18– 1.84) /
Self-employed 61 56 0.84(0.47– /
Government of Kenya (GoK) 31 18 1 /
Non-Government Organization (NGO) 12 4 2.46(1.02– 5.93) /
Comorbidity
No 118 121 0.29(0.16– 0.55) 0.28(0.14– 0.57) <.001*
Yes 16 60 1 1 1
ECOG-PS
Good 100 120 1
Poor 34 61 0.64(0.39– 1.05) /
Stage of cancer
I 6 7 1 1
II 40 28 0.9(0.31– 2.63) 0.95(0.28– 3.21) 0.934
III 59 72 0.52(0.19– 1.43) 0.3(0.09– 0.99) 0.05
IV 24 69 0.52(0.19– 1.43) 0.21(0.06– 0.71) .012*
Cancer type
Breast cancer 38 46 1
GI cancer 24 50 0.52(0.27– 0.99) /
Haematological cancer 30 27 1.19(0.60– 2.37) /
Gynaecological cancer 26 42 0.66(0.35– 1.29) /
Lung cancer 8 9 0.96(0.34– 2.74) /
Prostate cancer 8 7 1.23(0.41– 3.73) /
Depression scale
No depression 75 87 1 1
Borderline 43 40 1.19(0.69– 2.02) 1.56(0.77– 3.13) 0.21
Depression 16 53 0.33(0.18– 0.63) 0.29(0.13– 0.63) .002**
n=315.

*P value<0.05, significant associated. Cl confidence interval, OR odd ratio

Factors associated with quality of life

The study found that patients with tertiary education were 4.3 times more likely to have good Quality of Life (QoL) compared to those without formal education. Conversely, patients with advanced-stage cancer (stage IV) were 79% less likely to have good QoL than those with early-stage disease. Those without comorbid conditions were 72% less likely to have good QoL compared to those with comorbidities, and patients with depression were 71% less likely to report good QoL than non-depressed individuals (Table 5).

Satisfaction with the treating physician

The study reported an average patient satisfaction score of 48.77 during chemotherapy. Satisfaction was significantly associated with information provision (p=.004), physician availability (p=.003), information exchange (p=.001), and inclusion in decision-making (p=.008) (Table 6).

Table 6: Patients Satisfaction with the treating physician.
Variables Domains N M SD p value
Competences of doctors Technical skills 77.33 18.78 0.114
Interpersonal skills 74.13 19.84 0.096
Information provision 315 77.16 18.9 0.004 *
Availability 75.6 20.89 0.003 *
Other area Information exchange 78.87 19.35 0.001 *
Comfort 79.25 19.68 1
Inclusion in decision 315 69.83 22.25 0.008 *
making
General satisfaction 48.77 17.47 0.182

M: Arithmetic Mean; SD: Standard Deviation p<0.05 statistically significantly

Discussion

The study highlights that patient satisfaction with chemotherapy information and care at Chandaria Cancer Center was generally low, primarily due to insufficient information provision and poor communication. Many patients reported unmet informational needs regarding side effects, infection risk, treatment impact on daily life, ability to continue working, survival expectations, and dietary guidance. As in previous studies, this lack of clear and continuous information negatively affected satisfaction and adherence to treatment [4].

Over the past decade, research has emphasized that adequate patient education enhances adherence and improves Quality of Life (QoL); however, achieving consistent information delivery remains challenging. Patients are often overwhelmed by complex medical details at diagnosis, leading to low retention and understanding.

The mean QoL score was 47.63, lower than findings from comparable studies in Nepal [13], India [10], and Pakistan [15]. Factors significantly influencing QoL included psychological and social well-being, nausea and vomiting, pain, financial difficulty, education level, cancer stage, comorbidity, and depression. Financial strain and symptom burden were major contributors to poor QoL. Patients with tertiary education had significantly better QoL (AOR=4.3), while those with advanced-stage cancer and depression were much less likely to report good QoL.

Consistent with global evidence, depression and disease progression were strong negative predictors of QoL, likely due to greater symptom distress, uncertainty, and limited psychosocial support [7,9].

Finally, the average satisfaction with treating physicians was 48.77, with significant associations observed for information provision (p=.004), physician availability (p=.003), information exchange (p=.001), and involvement in decision-making (p=.008). The study underscores the urgent need for improved communication, patient education, and psychosocial care to enhance both satisfaction and quality of life among chemotherapy patients.

Conclusion

Adult cancer patients undergoing chemotherapy at MTRH reported moderate satisfaction and poor QoL. Key influencing factors included communication, information adequacy, psychosocial support, and financial stress. To enhance satisfaction and outcomes, the following are recommended: Implement comprehensive patient education sessions before and during chemotherapy, introduce structured psychosocial support and counseling services, conduct routine QoL screenings using standardized tools, strengthen healthcare provider communication training, last but not the list provide financial assistance programs for economically vulnerable patients.

Author declarations

Ethical approval and consent to participate: Ethical approval was granted by the Moi Teaching and Referral Hospital– Moi University ethics and research committee (reference number IREC/236/2022). Informed consent was obtained from all the participants and/or their LAR. The study was conducted in accordance to relevant guidelines and regulations.”

Availability of data and materials: The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Competing interests: The authors declare that they have no competing interests.

Funding: Not Applicable.

Authors’ contributions: Mr. David Lubanga Wamukobole and Mr. Alex Kamau both provided professional writing services or material, analyzed and interpreted the patient data.

Acknowledgment: The authors would like to thank all the participating patients for their willingness in giving us a deeper. view into oncology patient satisfaction and for voicing their opinions on this topic.

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