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Healthcare providers’ pain management practice and its associated factors in Ethiopia: A systematic review and meta- analysis

  • Demewoz Kefale ,

    Roles Conceptualization, Data curation, Formal analysis, Software, Visualization, Writing – original draft, Writing – review & editing

    demewozk@yahoo.com

    Affiliation Department of Pediatrics and Child Health Nursing, College of Health Sciences, Debre Tabor, Ethiopia

  • Tigabu Munye Aytenew,

    Roles Conceptualization

    Affiliation Department of Nursing, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia

  • Yohannes Tesfahun Kassie,

    Roles Formal analysis

    Affiliation Department of Emergency and Critical Care Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia

  • Melese Kebede,

    Roles Formal analysis

    Affiliation Department of Emergency and Critical Care Nursing, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia

  • Maru Mekie,

    Roles Writing – original draft, Writing – review & editing

    Affiliation Department of Reproductive Health and Family Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia

  • Mahilet Wondim,

    Roles Validation

    Affiliation Department of Midwifery, South Gondar Zone Health Office, Debre Tabor, Ethiopia

  • Shegaw Zeleke,

    Roles Writing – original draft

    Affiliation Department of Nursing, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia

  • Solomon Demis,

    Roles Conceptualization, Data curation

    Affiliation Department of Maternal and Neonatal Health Nursing, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia

  • Astewle Andargie Baye,

    Roles Conceptualization, Formal analysis

    Affiliation Department of Nursing, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia

  • Keralem Anteneh Bishaw,

    Roles Validation

    Affiliation Department of Maternity and Reproductive Health Nursing, College of Health Sciences, Debremarkos University, Debre Markos, Ethiopia

  • Gedefaye Nibret,

    Roles Writing – review & editing

    Affiliation Department of Midwifery, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia

  • Yeshiambaw Eshetie,

    Roles Conceptualization

    Affiliation Department of Nursing, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia

  • Zelalem Tilahun Muche,

    Roles Conceptualization

    Affiliation Department of Medical Physiology, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia

  • Habtamu Shimels,

    Roles Formal analysis, Funding acquisition

    Affiliation Department of Maternal and Neonatal Health Nursing, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia

  • Muluken Chanie,

    Roles Conceptualization, Data curation

    Affiliation Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, Gondar University, Gondar, Ethiopia

  • Mastewal Endalew,

    Roles Investigation, Methodology

    Affiliation Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia

  • Worku Necho Asferie,

    Roles Formal analysis, Funding acquisition, Investigation, Methodology

    Affiliation Department of Maternal and Neonatal Health Nursing, College of Health Science, Debre Tabor University, Debre Tabor, Ethiopia

  •  [ ... ],
  • Amare kassaw

    Roles Conceptualization, Data curation, Formal analysis, Writing – original draft, Writing – review & editing

    Affiliation Department of Pediatrics and Child Health Nursing, College of Health Sciences, Debre Tabor, Ethiopia

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Abstract

Introduction

Pain is defined as an unpleasant sensory and emotional experience associated with actual or potential tissue damage. Under -treatment of pain continues to be a major health care problem in Ethiopia. Although it has this problem, it receives limited research attention. This systematic review and meta-analysis will provide valuable insights of prevalence and its factors of healthcare providers’ pain management practice in Ethiopia.

Methods

This systematic review and meta-analysis followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Universal online databases such as PubMed, Cochrane, Google, Google Scholar, SCOPUS, Web of Science and Global Health were used to search for articles. Microsoft Excel for data extraction and STATA17 for data analysis were used. DerSimonian and Laird random-effects model was used to pool the odds ratios across studies and compute the overall pooled prevalence and its predictors. Egger’s test with funnel plot symmetry and Cochrane’s Q test was used to assess publication bias and heterogeneity respectively.

Results

The overall pooled prevalence of health care providers’ pain management practice was 39.6% (95% CI: 34.8, 44.5); I2 = 97.0%; P<0.001). Availability of pain management protocol (AOR = 5.1, 95%CI: 3.6, 6.7), Accessibility of analgesia (AOR = 4.5, 95%CI: 1.96, 7.0), higher educational level (AOR = 3.3, 95%CI: 2.5, 4.1), being female (AOR = 1.2, 95% CI: 1.6, 3.1), took training (AOR = 2.7, 95% CI: 1.8, 3.6), decreased work load (AOR = 4.9, 95% CI: -1.9, 11.7), increased work experience (AOR = 3.9, 95% CI: 2.9, 5.1), Being midwifery profession (AOR = 2.5,95% CI: 1.6, 3.4), having good attitude (AOR = 3.9,95%CI: 2.5, 5.4) and being knowledgeable (AOR = 4.2, 95%CI: 2.8, 5.6) of health care providers towards pain management practice were significantly associated in Ethiopia.

Conclusion

The overall prevalence of pain management practice among healthcare providers in Ethiopia is low compared with a national target of pain free hospital initiatives in Ethiopia. It needs a call to build health care providers’ ongoing education, training, professional development and manageable workload.

Introduction

Even though pain defined in different ways, the most popular is an international association for the study of pain which defined as an unpleasant sensory and emotional experience associated with actual or potential tissue damage [1]. Pain is a concealed sensation caused by high-intensity stimuli triggering pain receptors in the skin, muscle, bone, and other tissues which is now accepted as the fifth important cardinal sign [2],which should be evaluated and treated regularly [3]. If it is not treated timely and accurately, It touches almost every part of the survival of the patients as well as the family [4]. Pain can classified as acute or chronic. Acute pain is rapid but diminishes under treatment. Whereas chronic pain becomes progressively worst and reoccurs intermittently [5]. Clinical manifestation of pain is a highly subjective and deeply personal experience which has difficulty of concentrating, lack of energy, lost productivity, decreased quality of life and inability to complete daily tasks [6]. A thorough pain assessment, which, itself, may be the most useful step in planning to optimal treatment strategy for the patient [7]. The prevention and management of pain is an important aspect of health care [8]. Healthcare providers’ play a key role in pain assessment and in counseling on the standards of pain management in different health care service units. They are the primary health care providers for the patients within different care settings [9]. In ill patients effective management of pain is vital to ensure the best possible clinical consequences and avert unnecessary stay in hospitals and hurt from pain [10].

Incidence of pain is in elevation in developing countries due to late diagnosis of disease and major barriers to opioid access. In case of life-threatening illness, pain and its treatment are forgotten, or under-appreciated by the health care providers [11].

Globally, the percentage of persons suffering pain in 2022 (34.1%) stayed elevated compared to the previous year in 2019 (33.3%) [12]. In Africa, patients suffer from postoperative pain accounts around 95.2% which is challenging to manage it [13]. Researches conducted in developing nations revealed that health care providers’ pain management practice is inconsistent 24%, 52.7%, in Nepal respectively [14, 15]. A recent study conducted in Ghana and Kenya showed that healthcare providers’ pain management practice is 57.8% [16] and 9% [17]. And primary study conducted in Ethiopia showed with substantial differences from13% [18] to 66% [19]. This fluctuating finding revealed that how much pain is a neglected problem in the low-resource setting [20].

A Global survey which conducted to evaluate Pain management practices provided that religion, lack of education or training, non-adherence to guidelines, over regulation associated with prescribing and access to opioid analgesics, fear of addiction to opioids are key barriers among healthcare providers’ [21]. Primary study conducted in Ethiopia showed that Pain management has been unaddressed due to factors like limited resources, inadequate training, cultural diversity, emotional feelings, physical characteristics and language barriers to receive basic pain care for patients [22]. Furthermore, Availability of pain management protocol, Accessibility of analgesia, educational level, sex, training work load, work experience, profession, attitude and knowledge of health care providers towards pain management practice were significantly associated in Ethiopia [2326]. Overlooking patients’ pain leads to many consequences and complications for both the patients and the healthcare organization [27]. The pain management practices in any healthcare system were affected by three major barriers which include organizational barriers, healthcare providers’ barrier and patients’ barriers [28].

Pain management tended to accentuate the habit of pharmacological agents, but intensive usage of analgesics can have negative repercussions as it can significantly affect some physiological functions, side effects, drug dependency and increasing health care prices and later on country’s economy burden [29].

Although, world health organization, launched physical, psychological and pharmacological interventions for pain, healthcare providers’ practicing level needs further attentions [30]. Even though, there are different attempts to increase pain management practice in Ethiopia like, Pain-free hospital implementation, interdisciplinary pain medicine and palliative care program and taking pain as a fifth vital sign [3133], improvement in the assessment and treatment of pain is still in unacceptable change. Pain reliving intervention is an ignored and neglected especially in low- and middle-income countries including Ethiopia [34, 35].

Therefore, determining national prevalence and predictor factors of pain management practice among healthcare providers’ in Ethiopia has pivotal role towards achieving Sustainable developmental goals. But doing research, financial allocation, policy initiatives and public awareness is a big home work for developing countries including Ethiopia. Therefore, this systematic review and meta-analysis assessed the pooled prevalence and associated factors of healthcare providers’ pain management practice. Furthermore, this study will offer relevant information for future researchers, policymakers, clinicians, and concerned stakeholders.

Method

Study design and search strategy

This systematic review and meta-analysis were conducted to estimate the pooled prevalence, and associated factors of pain management practice among health care providers in Ethiopia. The protocol was designed based on the Standard Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines [36] was used to report the results of this systematic review and meta-analysis (S1 File). Prior to the completion of this review, the protocol was prepared and submitted to the International Prospective Register of Systematic Reviews database (PROSPERO, 2024: CRD42024512855).

Databases and search strategy

We have extensively searched PubMed, Google Scholar, Web of Science, Google, Global health, scopus and Chochrane databases for all available primary studies reporting health care providers pain management practice and its predictors in Ethiopia using the following search terms and phrases(S2 File)”(((("Healthcare providers ") AND ("pain")) AND ("prevalence or incidence")) AND ("factors") AND Ethiopia, "Healthcare providers OR professionals AND pain management practice,-, Burden of healthcare providers pain management practice and Ethiopia, prevalence or incidence" pain management practice and Ethiopia, Healthcare providers pain management practice in Ethiopia, Health care providers AND pain management practice And Ethiopia, “Health care providers”, “obstetrics care providers” OR “health professionals “OR Nurses OR midwives OR Anesthesia OR General practitioners OR specialists OR Integrated emergency surgical officers AND Ethiopia)ʺ. The search string was developed using ʺANDʺ and ʺORʺ Boolean Operators. Moreover, a manual search of the reference lists of included studies was also performed. The searched studies were published between 2014 and 2023 in Ethiopia and published in English.

Eligibility criteria

This systematic review and meta-analysis used condition, context, and population (CoCoPop) framework due to that all observational (cross-sectional) studies were included which conducted between 2014 and 2023 in Ethiopia among health care providers’ pain management practice and its associated factors. Studies which reported prevalence of healthcare providers pain management practice, and/or at least one factors influencing healthcare providers pain management practice) which is conducted in Ethiopia) among healthcare providers that written in English were eligible. However, citations without abstracts, full texts, anonymous reports, editorials, systematic reviews and meta-analyses and qualitative studies were excluded from the review.

Study selection

All the retrieved studies were exported to EndNote version 7 reference manager and the duplicated studies were removed. Initially, three independent reviewers (DK, TM and SZ) screened the titles and abstracts, followed by the full text reviews to determine the eligibility of each study. The disagreement between the two reviews was solved through discussion.

Data extraction

Two independent reviewers (DK and SD) have extracted the data using a structured Microsoft excel data extraction form. Whenever variations were observed in the extracted data, the phase was repeated. When the discrepancies between the data extractors were continued, the third reviewer (WN) was involved. The name of the first author and year of publication, region, study area, study design, sample size, response rate and effect size of the included primary studies were extracted.

Primary outcome measure of interest

The primary outcome of interest was prevalence of pain management practice and its associated factors among health care providers in Ethiopia. The odds ratio (OR) and standard error (SE) were calculated as effect measures for the study of prevalence and its determinant factors, respectively.

Quality assessment and appraisal of the included studies

The quality assessment of included studies is indeed crucial for this systematic review and meta-analysis. The Quality of each study was evaluated using the Joanna Briggs Institute (JBI) quality appraisal criteria using the prevalence; cross-sectional Joanna Briggs Institute (JBI) quality appraisal checklist. Two independent reviewers (DK and TM) appraised the quality of the included studies, and scored for the validity of results. The quality of each study was evaluated using the Joanna Briggs Institute (JBI) quality appraisal criteria [37]. All studies were appraised using JBI checklist for cross-sectional studies [18, 2226, 3861]. Accordingly, among all thirty eight cross-sectional studies, thirty studies scored seven of nine questions, 77.8% (low risk), five studies scored six of nine questions, 66.7%(low risk), and the residual three studies likewise scored five of nine questions, 55.6% (low risk)(Table 1). Studies were considered to be of low risk when they scored 50% or advanced on the quality assessment indicators. After conducting an exhaustive quality appraisal, we resolute that the primary studies involved in our analysis showed a high level of reliability in their procedural quality scores. The cross-sectional studies scored between 5 and 7 out of a total of 9 points had high quality.

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Table 1. General characteristics of the included studies for the systematic review and meta-analysis of healthcare providers’ pain management practice and its associated factors in Ethiopia.

https://doi.org/10.1371/journal.pone.0309094.t001

JBI’s critical appraisal Checklist for the included studies for the systematic review and meta-analysis of healthcare providers’ pain management practice and its associated factors in Ethiopia (Table 1)

Data analysis

STATA version 17 statistical software was used to analyze all the statistical analyses. A weighted inverse-variance random-effects model [62]was used to compute the overall pooled prevalence of pain management practice among health care providers and determine the impact of its predictors. The presence of publication bias was checked by observing the symmetry of the funnel plot, and Egger’s test with a p-value of <0.05 was also employed to determine a significant publication bias [63]. The percentage of total variation across studies due to heterogeneity was assessed using I2 statistics [64]. The values of I2 25, 50 and 75% represented low, moderate and high heterogeneity respectively [64]. A p-value of I2 statistic<0.05 was used to declare a significant heterogeneity [65, 66]. To identify the influence of a single study on the overall meta-analysis, one-at-a-time method sensitivity analysis and Method of pain management, sample size, types of pain, years of publication and profession types sub-group analysis was performed. Subgroup analysis identify whether there is variability (heterogeneity) in the treatment effects across different subgroups of the population studied. A forest plot was used to estimate the effect of independent factors on the outcome variable and a measure of association at 95%CI was reported. The Odds Ratio (OR) was the reported measure of association in the eligible primary studies. To estimate the pooled OR effect, either a fixed-effects or a random-effects model is used. A fixed-effects model is used if all the included studies used comparable methodology and were from identical populations, whereas a random-effects model is used when the included studies used different methodologies and sampled from different populations. In our review, the included primary studies used different methodologies and drawn from several independent populations. Thus, a random-effects model was used for this study.

Results

Search results

The search strategy retrieved a total of 2208 studies from PubMed (n = 1000), Google Scholar (n = 500), Cochrane (n = 390), Web of Science (n = 36), Google (n = 17), Global Health (n = 7), Scopus (n = 258) studies. After carefully removing irrelevant studies based on their titles and abstracts (n = 1620) and duplicated studies (n = 122), a total of 466 studies were selected for full-text review. Afterward, full-text reviews were conducted, resulting in the removal of 428 studies due to lack of complete texts, not written in English, conducted outside of Ethiopia, different target groups and the outcomes not well defined. Finally, 38 studies were found relevant to determine the prevalence of pain management practice and its predictors among health care providers. We traced the PRISMA flow chart [67] to show the selection process from initially identified records to finally included studies (Fig 1).

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Fig 1. PRISMA flow diagram of the included studies for the systematic review and meta-analysis of the healthcare providers’ pain management practice and its associated factors in Ethiopia, 2024.

https://doi.org/10.1371/journal.pone.0309094.g001

Characteristics of the included studies

All thirty eight studies were conducted using cross-sectional study design [18, 19, 2226, 3861, 6874]. Regarding geographical region, thirteen studies in Amhara [25, 3840, 43, 4548, 5557, 75] Ten studies were conducted in Oromia [19, 23, 49, 54, 59, 61, 68, 69, 75], Seven studies in Southern nations nationalities [26, 41, 44, 58, 71, 72, 70], six studies in Addis Ababa [18, 5053, 71], two studies in Tigray [22, 73],The total sample size of the included studies was 11,844, where the smallest sample size was 82 in Addis Ababa [24] and the largest sample size was also 605 in Amhara region health research institute [38]. The prevalence of health care providers’ pain management practice was obtained from thirty eight included primary studies [18, 19, 2226, 3861, 6874].Which ranges from 13 to 66 [18, 19].While the data regarding the predictors of health care providers pain management practice were obtained from all included studies [18, 19, 2226, 3861, 6874] (Table 2).

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Table 2. Characteristics of the included studies for the systematic review and meta-analysis of Healthcare providers’ pain management practice and its associated factors in Ethiopia.

https://doi.org/10.1371/journal.pone.0309094.t002

Risk of bias assessment

The assessment tool [76] was used to assess the risk of bias. It consists of nine items that assess four areas of bias: internal validity and external validity. Items 1–4 evaluate selection bias, non-response bias and external validity. Items 5–9 assess measure bias, analysis-related bias, and internal validity. Accordingly, of the total of the thirty eight included studies, thirty studies scored seven of nine questions and the eight studies also scored five and six of nine questions. Studies were classified as ʺlow riskʺ if five and above of nine questions received a ʺYesʺ, as ʺmoderate riskʺ if 4.5 of nine questions received a ʺYesʺ and as ʺhigh riskʺ if lower of 4.5 of nine questions received a ʺYesʺ. Therefore, all included studies [18, 19, 2226, 3861, 6874] had low risk of bias (high quality).

Meta-analysis

Health care providers pain management practice.

Subsequently, 38 eligible primary studies [18, 19, 2226, 3861, 6874] were included in the final meta-analysis. In Ethiopia, the prevalence of health care providers pain management practice ranges from 13% in Addis Ababa [18] to 66% in Oromia [19] and the overall pooled prevalence of health care providers’ pain management practice was 39.62% (95% CI:34.78, 44.47); I2 = 97.00%; P<0.001) (Fig 2).

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Fig 2. Forest plot of the prevalence of the included studies for the systematic review and meta-analysis of health care providers’ pain management practice in Ethiopia, 2024.

https://doi.org/10.1371/journal.pone.0309094.g002

Publication bias among the studies.

The symmetrical distribution of the included primary studies on the funnel plot suggests the absence of publication bias (Fig 3), and the p-value of Egger’s regression test (P = 0.9032) also indicated the absence of publication bias.

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Fig 3. Funnel plot to show the publication bias for included studies for the systematic review and meta-analysis of health care providers’ pain management practice and its associated factors in Ethiopia, 2024.

https://doi.org/10.1371/journal.pone.0309094.g003

Analysis of heterogeneity.

The percentage of I2 statistics of the forest plot indicates a marked heterogeneity among the included studies (I2 = 97.00%, P<0.001) (Fig 2). Hence, sensitivity analysis and sub-group analysis were performed to minimize the heterogeneity.

Sensitivity exploration. To decide the effect of a particular study on the overall meta-analysis, we used the one-at-a-time method sensitivity analysis. Then forest plot revealed that the estimate from a single study is closer to the pooled estimate, which inferred the absence of a single study effect on the overall pooled estimate. Thus, it has been verified that a solitary study has no significant effect on the overall outcome of the meta-analysis (Fig 4).

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Fig 4. Forest plot to show after sensitivity exploration for included studies for the systematic review and meta-analysis of health care providers’ pain management practice and its associated factors in Ethiopia, 2024.

https://doi.org/10.1371/journal.pone.0309094.g004

Sub-group analysis

Sub-group Analysis by the methods of pain management.

The pooled prevalence of health care providers’ pharmacological pain management practice was 38.3% (95% CI: 31.8, 44.7); I2 = 97.50%; P<0.001) whereas the pooled prevalence of health care providers’ non-pharmacological pain management practice was 41.2% (95% CI: 34.9, 47.4); I2 = 94.9%; P<0.001). This finding revealed that non-pharmacological pain management practice of health care providers nearly equal to pharmacological pain management practice of health care providers. So both methods are equally utilized to a significant extent by healthcare providers to use non-pharmacological and pharmacological methods for managing pain.

Sub-group analysis by the type of pain.

Labor and general types of pain in this sub-group analysis has no difference for health care providers pain management practice (AOR = 41.8, 95%CI: 35.3, 48.2, AOR = 38.0, 95%CI: 30.8, 45.2).

Sub-group analysis by the sample size difference.

The sample size sub-group analysis showed that pooled prevalence of health care providers’ pain management practice with >350 sample sizes [43.7, 95%CI: 36.0, 51.3, I2 = 97.7%, P<0.001] almost equal with <350 sample sizes [36.9, 95%CI: 30.8, 43.1, I2 = 96.1%, P<0.001] (Table 3).

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Table 3. Subgroup analysis of the included studies for the systematic review and meta-analysis of healthcare providers’ pain management practice and its associated factors in Ethiopia, 2024.

https://doi.org/10.1371/journal.pone.0309094.t003

Sub-group analysis by year of publication.

The studies conducted between 2020 and 2023 (AOR = 41.8, 95%CI: 36.4, 47.2, I2 = 96.1. %, P<0.001) sub-group analysis revealed that, no significant difference with study conducted before 2020 (AOR = 35.9, 95%CI: 27.5, 44.3, I2 = 97.4%, P<0.001).

Sub-group analysis by profession type.

The studies conducted on others(AOR = 32.1,95% CI;22.7,41.4, I2 = 94.6%,P<0.00) revealed that low pain management practice compared to studies conducted among nurses only (AOR = 39.4,95% CI;30.8,47.9, I2 = 97.6%,P<0.00) and studies on nurses, midwifes and health officers (AOR = 42.9,95%CI;35.9,49.9, I2 = 96.8%,P<0.00) respectively. This findings can conclude that Anesthesia, General Practionares and specialists have low pain management practice compared to nurses, midwifes and health officers.

Predictors of health care providers pain management practice

In this review fifty studies [19, 23, 38, 39, 41, 44, 48, 56, 58, 59, 68, 71, 70, 73, 77], informed that health care providers’ pain management practice was significantly associated with their attitude toward pain management practice. The pooled AOR of health care providers who has low attitude towards pain management practice was 3.93 (95%CI: 2.48, 5.39; I2 = 98.92%; P<0.001) (Table 4).

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Table 4. Associated factors of the included studies for the systematic review and meta-analysis of healthcare providers’ pain management practice in Ethiopia, 2024.

https://doi.org/10.1371/journal.pone.0309094.t004

Seven studies [19, 25, 38, 39, 47, 53, 68], showed a significant association between health care providers’ pain management practice and availability of pain management protocol at their working setting. The pooled AOR of health care providers pain management practice for health care providers having pain management protocol was 5.13 (95%CI: 3.56, 6.71;I2 = 99.59%; P<0.001) (Table 4).

Three studies [48, 72, 70] also reported a significant association between health care providers’ pain management practice and accessibility of analgesia. The pooled AOR of health care providers pain management practice for health care providers who could accessed analgesia was 4.5 (95%CI: 1.96, 7.02;I2 = 95.43%; P<0.001) (Table 4).

Eight studies [38, 40, 49, 68, 7174], revealed that health care providers’ pain management practice was positively associated with their educational level. The pooled AOR of health care providers pain management practice with their educational level was 3.3 (95%CI: 2.53, 4.13; I2 = 92.00%; P<0.001) (Table 4).

To determine the association between health care providers’ pain management practice and female sex, two studies were involved in the meta-analysis. Thus, the pooling of two studies [23, 72],showed that female health care providers were more likely to pain management practice than male health care providers [AOR = 1.24 [95% CI; 1.592, 3.062); I2 = 85.96%, p < 0.001] (Table 4).

Fourteen studies were included in the meta-analysis to show the association between health care providers’ pain management Knowledge and practice [19, 38, 44, 4648, 52, 53, 56, 68, 69, 71, 72, 77]. As a result, the random effects model in the meta-analysis indicated that knowledgeable health care providers on pain management were more likely to practicing pain management than their counterparts (AOR = 4.2 (95% CI; 2.8, 5.6), I2 = 98.62%, p < 0.001) (Table 4).

To compute the association between health care providers’ pain management practice and the professional difference, four studies were selected for meta-analysis [40, 41, 59, 70]. The collective results of the study showed that midwifery professionals’ were the most statistically associated with pain management practice than other professionals ([AOR = 2.5 (95% CI; 1.63, 3.44), I2 = 89.73%, p <0.001]) (Table 4).

A pooled meta-analysis of eleven studies by means of a random effects model [19, 23, 48, 50, 52, 53, 59, 69, 72, 77, 78], showed that health care providers who had took training on pain management were more likely to performing appropriate means of pain management than who didn’t take it([AOR = 2.7 (95% CI; 1.8, 3.6), I2 = 93.67%, p < 0.001]) (Table 4).

Eight studies [26, 41, 49, 50, 56, 68, 70, 77], revealed that health care providers who has more work experience were more likely to practicing pain management than their counterparts([AOR = 3.98 (95% CI; 2.85, 5.11), I2 = 94.23%, p <0.001]) (Table 4).This might be due to that experience by itself is the best teacher to know and to do pain management means.

Lastly a pooled meta-analysis of three studies by means of a random effects model [44, 48, 68] exhibited that heavy loaded health care providers has an obstacle to pain management practice of health care providers ([AOR = 4.87 (95% CI; 1.96, 11.70), I2 = 99.56%, p < 0.001]) (Table 4).

Discussion

According to this systematic review and meta-analysis, below half of all healthcare providers practicing appropriate pain management who needs much attention in Ethiopia. To the best of our knowledge, this is the first comprehensive national synthesis that gathered from different research with various forms of pain management methods have been broken down. Thus, this review intended to decide the overall pooled prevalence of health care providers’ pain management practice and its predictors in Ethiopia. In this study, the overall pooled prevalence of health care providers pain management practice was 39.62% (95% CI: 34.78, 44.47); I2 = 97.00%; P<0.001, which was higher than the study findings conducted in Kenya and Ethiopia (25.8%) [17, 78]. But the finding was lower than the study findings conducted in Spain (52.9%) [79],Nepal(67.5%) [80], Vietnam(72.2%) [81], India [82] and a study conducted in Ethiopia (45.73%,53.0%) [34, 83]. This discrepancy could be due to differences in study settings, methodologies, health care delivery systems across settings and the existence of socio-cultural variations.

In this review health care providers’ level of knowledge has a significant associated factor for pain management implementation. This finding is consistent with a study conducted in USA [84].The possible explanation might be due to that practice is positively related to knowledge and it can affect health care providers’ practicing level directly [85].

The results of this review and meta-analysis indicate significant associations between pain management practice among healthcare providers and different factors, including the availability of pain management protocols and analgesia [86], educational level, sex, training history, workload, work experience, profession type, attitude and knowledge towards pain management which is consistent with prior studies conducted in Brazil, USA, Saudi Arabia, and Ethiopia [8791]. As previous research has concluded the practice of having health care providers’ pain management strategies for the patients’ can be categorized into three different models, the biomedical model, the non-pharmacological interventions model, and the alternative medicine model, including acupuncture [9294], The identified factors play a pivotal role in advancing the level of pain management practices among healthcare providers. Training improves job satisfaction and morale, enhancing productivity and ultimately contributing to the advancement of healthcare providers’ pain management practices.

Study findings need prompt action from health care leaders to educate and change the attitude of health care providers on pain management, which is supported by a study conducted [90, 95, 96].The possible reason might be due to that a positive healthcare providers attitude towards pain management is the manner in which they can conduct in a professional setting which contribute to the culture of your work environment, and how to perform daily tasks and responsibilities.

A cross-sectional study conducted in Nigeria reveled that healthcare providers’ educational level was significantly associated with pain management practice [97].Due to that advanced education enhances their knowledge, skills, attitudes, and adherence to best practice. A Global Survey which has been done on health care providers showed that religion, lack of appropriate education and training, non-adherence to guidelines, lack of access to opioid analgesics were significantly associated with healthcare providers pain management practice [21].

This study contributes to the growing body of evidence on healthcare providers’ pain prevention and intervention by revealing its prevalence and factors. And it underlines the extensive impact of pain on patients’ treatment outcomes and recovery rate which highlights the significance of addressing this intricate issue through multifaceted approaches. Furthermore, it elucidates the role of healthcare providers’ knowledge, attitude, work load, work experience, profession type, sex and being trained and availability of analgesics factors in shaping the level of healthcare providers practicing pain intervention.

Limitation of the study

The included studies’ sample sizes varied greatly, which can have an impact on the pooled estimates’ precision and statistical power. Although we used statistical tests and funnel plots to evaluate publication bias, it’s likely that unpublished studies had an impact on the final outcomes. While subgroup analyses and sensitivity testing can mitigate study heterogeneity, differences in study design, demographic characteristics, intervention protocols, and outcome measures can still affect the reliability and generalizability of the pooled results. We assessed each study’s risk of bias because several of the studies in the review had varied degrees of bias, but it’s crucial to recognize that not all biases could be completely accounted for in the meta-analysis.

Conclusions

The present study provides insight for health care providers’ practices in treating patients with pain. The results direct the required for a more wide-ranging treatment approach to health care pain management practice. The overall pooled prevalence of pain management practice among health care providers was considerably low compared with a national target of pain free hospital initiatives launched in October, 2018 in Ethiopia. There is an urgent requisite to build health care providers’ capability to enable ongoing education, training, professional development and manageable workload for best relief of pain management practice among patients.

Acknowledgments

We are grateful to Debre Tabor University for providing internet services, which are vital for accomplishment of this systematic review and meta-analysis. Again, we extend our thanks to Mr. Wubet alebachew for his support in reviewing the manuscript. Moreover, our gratitude extends to Mr. Biniyam Minuye for his support in the English edition.

References

  1. 1. Raja S.N., et al., The revised International Association for the Study of Pain definition of pain: concepts, challenges, and compromises. Pain, 2020. 161(9): p. 1976–1982. pmid:32694387
  2. 2. Imoro M.A., Practice of pain assessment in critically Ill patients among nurses at the tamale teaching hospital. Diverse Journal of Multidisciplinary Research, 2019. 1(1): p. 1–6.
  3. 3. Fleckenstein J., et al., The pain threshold of high-threshold mechanosensitive receptors subsequent to maximal eccentric exercise is a potential marker in the prediction of DOMS associated impairment. PLoS One, 2017. 12(10): p. e0185463. pmid:28985238
  4. 4. Cervero F., Understanding pain: exploring the perception of pain. 2012: Mit Press.
  5. 5. Nafziger A.N. and Barkin R.L., Opioid therapy in acute and chronic pain. The Journal of Clinical Pharmacology, 2018. 58(9): p. 1111–1122. pmid:29985526
  6. 6. Turk D.C., et al., Assessment of psychosocial and functional impact of chronic pain. The Journal of Pain, 2016. 17(9): p. T21–T49. pmid:27586830
  7. 7. Thorn B.E., Cognitive therapy for chronic pain: a step-by-step guide. 2017: Guilford Publications.
  8. 8. Orr P.M., Shank B.C., and Black A.C., The role of pain classification systems in pain management. Critical Care Nursing Clinics, 2017. 29(4): p. 407–418. pmid:29107304
  9. 9. Dueñas M., et al., A review of chronic pain impact on patients, their social environment and the health care system. Journal of pain research, 2016: p. 457–467. pmid:27418853
  10. 10. Barr J., et al., Clinical practice guidelines for the management of pain, agitation, and delirium in adult patients in the intensive care unit. Critical care medicine, 2013. 41(1): p. 263–306. pmid:23269131
  11. 11. Buhler J., Biopsychosocial determinants of chronic pain amongst Canadian Armed Forces veterans. 2023.
  12. 12. Macchia L., Delaney L., and Daly M., Global pain levels before and during the COVID-19 pandemic. Economics & Human Biology, 2024. 52: p. 101337.
  13. 13. Ndebea A.S., et al., Prevalence and risk factors for acute postoperative pain after elective orthopedic and general surgery at a tertiary referral hospital in Tanzania. Journal of Pain Research, 2020: p. 3005–3011. pmid:33244259
  14. 14. Thapa P., et al., Managing Pain in Low Resource Settings: Healthcare Professionals’ Knowledge, Attitude and Practice Regarding Pain Management in Western Nepal. Journal of Pain Research, 2022: p. 1587–1599. pmid:35677698
  15. 15. Thapa R.D. and Gurung G., nurses’knowledge, attitude and practice regarding postoperative pain management at selected hospitals, bharatpur, nepal. journal of chitwan medical college, 2020. 10(1): p. 64–68.
  16. 16. Wuni A., et al., Evaluating Knowledge, Practices, and Barriers of Paediatric Pain Management among Nurses in a Tertiary Health Facility in the Northern Region of Ghana: A Descriptive Cross‐Sectional Study. Pain Research and Management, 2020. 2020(1): p. 8846599.
  17. 17. Rop S., Matheri J.M., and Tawa N., Knowledge, attitudes and practice of clinicians managing chronic pain in a tertiary care facility. South African Journal of Physiotherapy, 2022. 78(1): p. 1597. pmid:35169653
  18. 18. Emiru M., Assessment of Adult Postoperative Pain Management Practice among Nurses Working in Addis Ababa Public Hospitals, Addis Ababa, Ethiopia, 2015. 2015, Addis Ababa University.
  19. 19. Dechasa A., et al., Post-operative pain management practice and associated factors among nurses working at public hospitals, in Oromia region, Ethiopia. medRxiv, 2022: p. 2022.04. 14.22273889.
  20. 20. Goucke C.R. and Chaudakshetrin P., Pain: a neglected problem in the low-resource setting. Anesthesia & Analgesia, 2018. 126(4): p. 1283–1286.
  21. 21. Silbermann M., et al., Evaluating pain management practices for cancer patients among health professionals: A global survey. Journal of Palliative Medicine, 2022. 25(8): p. 1243–1248. pmid:35442772
  22. 22. Miftah R., et al., Knowledge and factors associated with pain management for hospitalized children among nurses working in public hospitals in Mekelle City, North Ethiopia: cross sectional study. BMC research notes, 2017. 10: p. 1–6.
  23. 23. Eyeberu A., et al., Utilization of pharmacological labour analgesia: a survey of obstetric care providers in eastern Ethiopia. International Health, 2023. 15(3): p. 335–341. pmid:36088530
  24. 24. Kassa R.N. and Kassa G.M., Nurses’ attitude, practice and barrier s toward cancer pain management, Addis Ababa, Ethiopia. J Cancer Sci Ther, 2014. 6(12): p. 483–487.
  25. 25. Sefefe W., Healthcare providers’ knowledge, attitude, practice and associated factors towards pain management at Debremarkos referral hospital, Gojjam, Northwest Ethiopia. J Anesth Clin Res, 2021. 12: p. p228.
  26. 26. Tadesse F., Yohannes Z., and Beza L., Knowledge and practice of pain assessment and management and factors associated with nurses’ working at Hawassa University Referral Hospital, Hawassa city, South Ethiopia. Res Rev: J Health Prof, 2016. 6(3): p. 24–8.
  27. 27. Sinatra R., Causes and consequences of inadequate management of acute pain. Pain medicine, 2010. 11(12): p. 1859–1871. pmid:21040438
  28. 28. Basak S., Knowledge and attitudes of nurses and their practices regarding post-operative pain management in Bangladesh. 2010, Prince of Songkla University.
  29. 29. Jira L., et al., Knowledge and attitude towards non-pharmacological pain management and associated factors among nurses working in Benishangul Gumuz regional state hospitals in Western Ethiopia, 2018. Journal of Pain Research, 2020: p. 2917–2927. pmid:33235490
  30. 30. Aubrun F., et al., Revision of expert panel’s guidelines on postoperative pain management. Anaesthesia Critical Care & Pain Medicine, 2019. 38(4): p. 405–411. pmid:30822542
  31. 31. Abdi S. and Dmitrovsky E., Building an interdisciplinary pain medicine and palliative care program in Ethiopia. Journal of global health, 2020. 10(1). pmid:32257143
  32. 32. Bayisa G., et al., Pain-free hospital implementation: a multidimensional intervention to improve pain management at Wallaga University Referral Hospital, Nekemte, Ethiopia. BMC Research Notes, 2024. 17(1): p. 28. pmid:38238767
  33. 33. Tequare M.H., et al., Pain management and its possible implementation research in North Ethiopia: a before and after study. Advances in medicine, 2020. 2020(1): p. 5317352. pmid:32566691
  34. 34. Azeze G.A., et al., Labor pain management practices and associated factors in Ethiopia: A systematic review and meta‐analysis. International Journal of Gynecology & Obstetrics, 2023. pmid:38009592
  35. 35. Admass, B., et al., Knowledge and attitude of ethiopian oncology nurses about cancer pain management: National survey. Cancer Manag Res 2020; 12: 9045–55. 16. Li D, Gao L, Ren LY, et al. Knowledge and attitudes regarding cancer pain management among oncology nurses in China. J Int Med Res, 2021. 49(1): p. 0300060520979448.
  36. 36. Parums D.V., Review articles, systematic reviews, meta-analysis, and the updated preferred reporting items for systematic reviews and meta-analyses (PRISMA) 2020 guidelines. Medical science monitor: international medical journal of experimental and clinical research, 2021. 27: p. e934475–1.
  37. 37. Peters M., et al., The Joanna Briggs Institute reviewers’ manual 2015: methodology for JBI scoping reviews. 2015.
  38. 38. Getu A.A., et al., Non-pharmacological labor pain management and associated factor among skilled birth attendants in Amhara Regional State health institutions, Northwest Ethiopia. Reproductive Health, 2020. 17(1): p. 183. pmid:33371900
  39. 39. Tsegaye D., et al., Non-pharmacological pain management practice and associated factors among nurses working at comprehensive specialized hospitals. SAGE Open Nursing, 2023. 9: p. 23779608231158979. pmid:36861050
  40. 40. Bishaw K.A., Sendo E.G., and Abebe W.S., Knowledge, and use of labour pain relief methods and associated factors among obstetric caregivers at public health centers of East Gojjam zone, Amhara region, Ethiopia: a facility based cross-sectional study. BMC pregnancy and childbirth, 2020. 20: p. 1–9.
  41. 41. Wassihun B., et al., Non-pharmacological labor pain management practice and associated factors among skilled attendants working in public health facilities in Gamo and Gofa zone, Southern Ethiopia: A cross-sectional study. PloS one, 2022. 17(4): p. e0266322. pmid:35446867
  42. 42. Eyeberu A., et al., Obstetrics care providers attitude and utilization of non-pharmacological labor pain management in Harari regional state health facilities, Ethiopia. BMC Pregnancy and Childbirth, 2022. 22(1): p. 389. pmid:35509044
  43. 43. Dile M., et al., Utilisation of obstetric analgesia in labour pain management and associated factors among obstetric caregivers in Amhara Regional State referral hospitals, north-west Ethiopia. Midirs Midwifery Digest, 2016. 26(2): p. 255–262.
  44. 44. Ganta M., et al., Non-Pharmacologic Labor Pain Management Practice and Its Associated Factors Among Midwives Working in Selected Public Hospitals of South Nation Nationalities and Peoples’ Region, Ethiopia, 2021.
  45. 45. Belay M.Z. and Yirdaw L.T., Management of postoperative pain among health professionals working in governmental hospitals in South Wollo Zone, Northeast Ethiopia. Prospective cross sectional study. Annals of Medicine and Surgery, 2022. 80: p. 104148. pmid:36045862
  46. 46. Solomon E.T., et al., Knowledge, attitude, and practice towards Labor pain management and associated factors among skilled birth attendants working at hospitals found in central, west, and North Gondar zones, Northwest Ethiopia, 2019: a multicenter cross-sectional study. Pain Research and Management, 2021. 2021: p. 1–9. pmid:34093926
  47. 47. Shiferaw A., et al., Utilization of labor pain management methods and associated factors among obstetric care givers at public health institutions of East Gojjam Zone, Amhara region, Ethiopia, 2020: a facility based cross–sectional study. BMC Pregnancy and Childbirth, 2022. 22(1): p. 803. pmid:36319950
  48. 48. Zeleke S., Kassaw A., and Eshetie Y., Non-pharmacological pain management practice and barriers among nurses working in Debre Tabor Comprehensive Specialized Hospital, Ethiopia. Plos one, 2021. 16(6): p. e0253086. pmid:34129616
  49. 49. Abdella J., Oltaye Z., and Fetene D., Knowledge and Practice of Nurses towards Non-Pharmacological Pain Management Methods and Associated Factors at West Arsi Zone Public Hospitals, Oromia, Ethiopia, 2021: A Cross-Sectional Institution Based Study. 2022.
  50. 50. Tadesse N., Wordofa B., and Workineh S., Nurses’ Knowledge, Practice, And Associated Factors Towards Postoperative Pediatric Pain Management in Selected Public Hospitals, Addis Ababa, Ethiopia, 2022. Cross-Sectional Study.
  51. 51. Zeleke Y.G., et al., Knowledge, Attitude, and Practice towards acute pain management in the prehospital setting and associated factors among emergency care providers in Addis Ababa, Ethiopia: A cross-sectional study. 2023.
  52. 52. Wondimagegn Z.G., et al., Knowledge, practice and factors associated with pain management for adult critical Ill patients among nurses working in federal hospitals of Addis Ababa Ethiopia 2020. American Journal of Clinical and Experimental Medicine, 2021. 9(2): p. 28–39.
  53. 53. Wari G., et al., Knowledge and practice of nurses and associated factors in managing neonatal pain at selected public hospitals in Addis Ababa, Ethiopia, 2020. Journal of multidisciplinary healthcare, 2021: p. 2275–2286. pmid:34456570
  54. 54. Wurjine T.H. and Nigussie B.G., Knowledge, attitudes and practices of nurses regarding to post-operative pain management at hospitals of Arsi zone, Southeast Ethiopia, 2018. Women’s Health, 2018. 7(5): p. 130–135.
  55. 55. Mekdes G., Knowledge and Practices of Pharmacological Pain Management Among Nursing Staffs in Public Hospitals in Bahir Dar City. 2017.
  56. 56. Legese F., Nurses’ Pain Management Practice and Associated Factors for Admitted Patients at The Comprehensive Specialized Hospitals of Amhara Region, Ethiopia, 2022, A Multi-Center Cross-Sectional Study. 2022.
  57. 57. Negash T.T., et al., Knowledge, attitudes and practices of health professionals towards postoperative pain management at a referral hospital in Ethiopia. Annals of Medicine and Surgery, 2022. 73: p. 103167. pmid:34976389
  58. 58. Wakgari N., et al., Labour pain management practices among obstetric care providers in Hawassa city, Ethiopia. African Journal of Midwifery and Women’s Health, 2020. 14(2): p. 1–12.
  59. 59. Terfasa E.A., Bulto G.A., and Irenso D.Y., Obstetric analgesia utilization in labor pain management and associated factors among obstetric care providers in the West Shewa Zone, Central Ethiopia. SAGE Open Medicine, 2022. 10: p. 20503121221088705. pmid:35342628
  60. 60. Melile Mengesha B., Moga Lencha F., and Ena Digesa L., Pain assessment practice and associated factors among nurses working at adult care units in public hospitals in Wolaita Zone, Southern Ethiopia, 2021. BMC nursing, 2022. 21(1): p. 115. pmid:35562827
  61. 61. Negewo A.N., et al., Post Operative Pain Management Knowledge, Attitude, Practice and Associated Factors Regarding Among Nurses’ Working in Jimma Medical Center, South-West Ethiopia, 2020.
  62. 62. DerSimonian R. and Kacker R., Random-effects model for meta-analysis of clinical trials: an update. Contemporary clinical trials, 2007. 28(2): p. 105–114. pmid:16807131
  63. 63. Peters J.L., et al., Comparison of two methods to detect publication bias in meta-analysis. Jama, 2006. 295(6): p. 676–680. pmid:16467236
  64. 64. Higgins J.P., et al., Measuring inconsistency in meta-analyses. Bmj, 2003. 327(7414): p. 557–560. pmid:12958120
  65. 65. Borenstein M., et al., A basic introduction to fixed‐effect and random‐effects models for meta‐analysis. Research synthesis methods, 2010. 1(2): p. 97–111. pmid:26061376
  66. 66. Higgins J.P. and Thompson S.G., Quantifying heterogeneity in a meta‐analysis. Statistics in medicine, 2002. 21(11): p. 1539–1558. pmid:12111919
  67. 67. Stovold E., et al., Study flow diagrams in Cochrane systematic review updates: an adapted PRISMA flow diagram. Systematic reviews, 2014. 3: p. 1–5.
  68. 68. Beyene b., post-operative pain management practices and associated factors among nurses working in governmental hospitals of harari region and dire dawa city administration, eastern ethiopia 2019. 2019.
  69. 69. Mekonen M.W.M., Muhye M.A.B., and Gobeza M.M.B., Knowledge, Practice, and factors associated with neonatal pain management among nurses working at West Oromia Public Hospitals, Ethiopia: A cross-sectional study. 2022.
  70. 70. Foto L.L., Zenebe W.A., and Geltore T., Perceptions and practice of labor pain-relief methods and its perceived barriers among obstetric care providers in public health facilities of Gedeo Zone, Southern Ethiopia: mixed study, 2021. Preprint. doi, 2023. 10.
  71. 71. Melesse G.T., Wayessa Z.J., and Bonkiye A.J., Labor Pain Mangement Practice and Associated Factors Among Obstetric Care Workers in Public Health Facilities of West Guji Zone, Southern Ethiopia, 2020. 2021.
  72. 72. Alelgn Y., et al., Magnitude and factors associated with utilization of labor analgesia among obstetric caregivers at public hospitals in Sidama region, Southern Ethiopia. 2022.
  73. 73. Sahile E., et al., Practice of labour pain management methods and associated factors among skilled attendants working at general hospitals in Tigray Region, North Ethiopia: hospital based cross-sectional study design. Health Sci J, 2017. 11(4): p. 516.
  74. 74. Gesso A.S., et al., Effectiveness of low-dose ketamine versus lignocaine pre-treatment to prevent propofol injection pain and hemodynamic instability in adult elective surgical patients at Tikur Anbessa specialized hospital, 2022: A prospective observational cohort study. International Journal of Surgery Open, 2022. 47: p. 100537.
  75. 75. Berihun B,., Practice and factors associated with pediatrics pain management among nurses working in Bahir Dar city public hospitals: A mixed method study in Amhara health Bureu, Amhara,Ethiopia, 2024.
  76. 76. Hoy D., et al., Assessing risk of bias in prevalence studies: modification of an existing tool and evidence of interrater agreement. Journal of clinical epidemiology, 2012. 65(9): p. 934–939. pmid:22742910
  77. 77. Roga E.Y., et al., Low neonatal pain management practices and associated factors among nurses and midwives working in governmental hospitals of central Ethiopia, 2021. Journal of Neonatal Nursing, 2023. 29(5): p. 760–766.
  78. 78. Fekede L., et al., Nurses’ pain management practices for admitted patients at the Comprehensive specialized hospitals and its associated factors, a multi-center study. BMC nursing, 2023. 22(1): p. 366. pmid:37803315
  79. 79. Becerra-Bolaños Á., et al. Pain Prevalence and Satisfaction with Pain Management in Inpatients: A Cross-Sectional Study. in Healthcare. 2023. MDPI. pmid:38132081
  80. 80. Shrestha I., Payakkaraung S., and Sanasuttipun W., Pain Management Competency and its Associated Factors among Nurses. 2022.
  81. 81. Nguyen A., et al., Assessing knowledge and attitudes regarding pain management among nurses working in a geriatric hospital in Vietnam. J Multidiscip Healthc. 2021; 14: 799. pmid:33880029
  82. 82. Subhashini L., Vatsa M., and Lodha R., Knowledge, attitude and practices among health care professionals regarding pain. The Indian Journal of Pediatrics, 2009. 76: p. 913–916. pmid:19475346
  83. 83. Kebede S.M., et al., Neonatal pain management practice in the neonatal intensive care unit of public hospitals: a survey of healthcare providers in eastern Ethiopia. International Health, 2023: p. ihad095.
  84. 84. Saifan A.R., et al., Exploring factors among healthcare professionals that inhibit effective pain management in cancer patients. Central European Journal of Nursing and Midwifery, 2019. 10(1): p. 967.
  85. 85. Dowell L.J., The relationship between knowledge and practice. The Journal of Educational Research, 1969. 62(5): p. 201–205.
  86. 86. Ouma E.G., et al., Labour pain relief practice by maternal health care providers at a tertiary facility in Kenya: An institution-based descriptive survey. Plos one, 2024. 19(3): p. e0299211. pmid:38452017
  87. 87. de Freitas G.R., et al., Degree of knowledge of health care professionals about pain management and use of opioids in pediatrics. Pain Medicine, 2014. 15(5): p. 807–819. pmid:24401078
  88. 88. Tarigopula R., et al., Health care workers and ICU pain perceptions. Pain Medicine, 2014. 15(6): p. 1027–1035. pmid:24738494
  89. 89. Bartley E.J., et al., The influence of health care professional characteristics on pain management decisions. Pain Medicine, 2015. 16(1): p. 99–111. pmid:25339248
  90. 90. Al-Quliti K.W. and Alamri M.S., Assessment of pain: Knowledge, attitudes, and practices of health care providers in Almadinah Almunawwarah, Saudi Arabia. Neurosciences Journal, 2015. 20(2): p. 131–136.
  91. 91. Jaleta D., Tuji T., and Wake A., Practice towards Postoperative Pain Management and Associated Factors among Nurses Working in Referral Hospitals: A Cross-sectional Study. J Anesth Clin Res, 2020. 11: p. 982.
  92. 92. Chatchumni M., Post-operative pain management practice: Current situation and challenges within nursing practice in a Thai context. 2016, Mälardalen University.
  93. 93. Tasso K. and Behar-Horenstein L.S., Patients’ perceptions of pain management and use of coping strategies. Hospital Topics, 2004. 82(4): p. 10–19. pmid:15898400
  94. 94. Shi Y. and Wu W., Multimodal non-invasive non-pharmacological therapies for chronic pain: Mechanisms and progress. BMC medicine, 2023. 21(1): p. 372. pmid:37775758
  95. 95. Liu J., et al., Practice, knowledge, and attitude of health care providers regarding cancer pain management: A national survey. Pain Research and Management, 2021. 2021. pmid:34471442
  96. 96. Mehrnoush N., et al., Factors influencing neonatal pain management from the perspectives of nurses and physicians in a neonatal intensive care Unit: a qualitative study. Iranian Journal of Pediatrics, 2018. 28(1).
  97. 97. Ohaeri B., Owolabi G., and Ingwu J., Skilled health attendants’ knowledge and practice of pain management during labour in health care facilities in Ibadan, Nigeria. European Journal of Midwifery, 2019. 3. pmid:33537582