Skip to main content
African Health Sciences logoLink to African Health Sciences
. 2015 Mar;15(1):82–89. doi: 10.4314/ahs.v15i1.11

The visibility of non-communicable diseases in Northern Uganda

Susan Reynolds Whyte 1, Sung-Joon Park 2, George Odong 3, Moris Ojara 3, Alice Lamwaka 4
PMCID: PMC4370139  PMID: 25834534

Abstract

Background

WHO and Uganda's Ministry of Health emphasize the need to address the growing burden of non-communicable diseases (NCDs). Treatment for these conditions is urgent in northern Uganda where war has negatively affected both health and the public health care system.

Objectives

We aimed to explore the recognized presence of selected chronic conditions in the out-patient population and to relate this ‘visibility’ to the ability of health units to diagnose and treat them.

Methods

At six health facilities we reviewed patient registers for one month to determine the frequency of hypertension, diabetes, depression, and post traumatic stress disorder (PTSD). We checked the availability of diagnostic instruments and medicines, and interviewed health workers.

Results

The four conditions were rarely diagnosed in the outpatient population. Hypertension was the most common, but still constituted under 1% of diagnoses. Patterns of diagnosis were uneven, with higher frequency of particular diagnoses at some health facilities. Diagnostic equipment was not sufficient and screening was irregular. Medicine was mostly available although stockouts of some relevant drugs were reported.

Conclusions

The four conditions are relatively invisible in the outpatient population. Greater visibility would be facilitated by regular clinic days for hypertension and diabetes, availability and regular use of diagnostic instruments, and a more reliable supply of the relevant medicines.

Keywords: non-communicable diseases, Northern Uganda

Introduction

Non-communicable diseases represent an increasing burden, also in countries that have high rates of infectious diseases.1,2 The WHO global strategy for NCDs and an implementation plan were launched in the first decade of the new millennium with a particular focus on cardiovascular disease, diabetes, chronic lung diseases, and cancer.3 In Uganda, NCDs were made a national priority in 2006 when they were incorporated in the second health sector strategic plan and an office for prevention and treatment of NCDs was established in the Ministry of Health.4 Mental illnesses constitute an expanding global health problem as well; WHO forecasts that depressive disorders will be the leading cause of the global burden of disease by 2030.5 Mental health care in Uganda can be traced back to the Mental health treatment Act in 1964. The development of a separate national mental health policy, which is comprehensive and aims at the delivery of up-to-date mental health services, was initiated in 2005.6

Chronic diseases present special challenges for policymakers and researchers.7 For health services oriented toward management of acute infectious conditions they raise problems of diagnosis and long-term care. The WHO cluster strategy for non-communicable diseases and mental health 2008–2013 calls for improvement in management of NCDs and integration of mental health into primary health care.8

As northern Uganda recovers from two decades of war, its public health care system is being rebuilt with important contributions from NGOs, bilateral and multilateral donors. However, this support continues to be earmarked for certain health conditions, especially HIV. Given the high priority policymakers attribute to NCDs and the challenges of impaired health and weakened health care systems in northern Uganda, as well as the need for research on NCDs in primary health care,9 we ask how well public health facilities there are addressing chronic conditions. To what extent are they visible in the outpatient population? Since their (in)visibility is in part a function of the capacity of facilities to identify them and provide medication, it is necessary to review the availability of diagnostic instruments and assess the diagnostic routines and appropriate medication.

Methods

Between November 2011 and February 2012, a team based at Gulu University made an explorative study of the frequency and treatment of chronic conditions in six health facilities purposively chosen from different districts and with different levels of service. There were three Health Centres level 3 (HC3) and two Health Centres level 4 (HC4), as well as one private not-for-profit (PNFP) rural hospital functioning as a district hospital. They were located in Gulu (1), Amuru (1), Nwoya (1), and Agago (2) Districts, and a division of Gulu Municipality (1).

We focused on out-patient diagnosis and medication for four health conditions: hypertension, diabetes, depression, and post traumatic stress disorder (PTSD). The first two were selected because they figure in the new global policy for NCDs and because they are thought to be highly prevalent or increasing in Uganda. Depression and PTSD were chosen because many health workers, policymakers and researchers see them as high priority in northern Uganda after the years of war and violence.

The study adopted mixed methods—mostly qualitative with some quantitative elements. On the quantitative side, we obtained Health Management Information System (HMIS) figures on cases of the four conditions reported in two districts over five years. At each health facility, we examined the patient register books and recorded numbers diagnosed with the four conditions and medicines prescribed for them during the month of October 2011 in the Out-Patient Department (OPD).

We noted prescription of amitriptyline for diagnoses other than depression and PTSD. Against a checklist, we recorded the availability of functioning blood pressure (BP) machines, glucometers and strips, and diagnostic guidelines for depression and PTSD, such as Uganda National Treatment Guidelines, Beck's Depression Inventory, and the Harvard Trauma Questionnaire. We inspected the store to see which medicines were in stock for these four conditions. For both instruments and medicines we considered what should have been available at different levels of health facility. (Health Centres 3 receive their medicine supplies on the ‘push’ system; they are supplied with kits containing fixed types and amounts of drugs. Health Centres 4 and hospitals are on the ‘pull’ system; they can order the drugs they need from National Medical Stores [NMS], if they are available.)

The qualitative data came from open-ended interviews. We discussed the treatment of NCDs with two district health officers. At each of the six health facilities, we interviewed in-charges and health facility staff on topics including the following: levels of staffing and formal training (e.g. psychiatric nurses); patterns of use of the above diagnostic instruments; designated clinics for HIV, mental health, and NCDs; experiences and challenges in treating the four conditions. Given the importance of external funding for health care in Uganda, we asked about sources of external support for the facility and the conditions targeted. We interviewed 9 patients on a convenience basis, at least one from each facility.

We also explored two areas of activity beyond the health facilities, but relevant to the recognition and treatment of NCDs. Since patients are told to buy medicines when the public facility is stocked out, we made explorative visits to 8 drugshops and small private clinics within 500m of two of the health facilities and to four pharmacies and private clinics in Gulu town. We checked whether they sold medicines for these diagnoses and sold or used the relevant diagnostic instruments. In view of the intense attention to mental trauma due to the war and the effect this might have on recognition in health facilities, we made a rapid mapping of NGOs and donors active in relation to trauma conditions using a structured questionnaire.

The interview and observation material was transcribed from field notebooks and coded manually. We were given permission to examine records at each facility by the (acting) in-charge. Informed consent was obtained from every individual interviewed.

Findings

Prevalence of selected NCDs in the out-patient population

As in the rest of the country, there are no population-based prevalence figures for NCDs in northern Uganda. However HMIS reports for a five-year period in Gulu district (Table 1) reveal a substantial increase of diagnoses among outpatients for hypertension (HT), diabetes (DM) and depression. (PTSD is not a category within HMIS.) For comparison, figures for HIV are also shown. By the end of the five years, hypertension numbers were similar to those for HIV. Nevertheless, hypertension constituted only 0.8% of all diagnoses for outpatients age 5+ in 2010/11 even though it was the most frequent of the categories examined.

Table 1.

Selected chronic disease diagnoses in Gulu District for outpatients age 5+ Source: District HMIS data

2006/7 2007/8 2008/9 2009/10 2010/11**
HT* 1099/2555 1056/2299 1326/3036 1080/3465 1117/3314
DM* 193/258 555/1106 475/682 183/264 412/758
Depression 148/266 134/348 326/843 395/1181 432/1672
HIV 1428/2497 2197/3650 3075/4065 1984/2673 1920/3155

Male/Female

*

HT =hypertension, DM=diabetes mellitus

**

total diagnoses for all outpatients age 5+ for 2010/11= 535,897; HT =0.8% of all diagnoses

As shown in Table 2, the pattern for Amuru does not have the same clear increase; the highest figures for hypertension and depression were reported in 2007/8 and for diabetes in 2008/9.

Table 2.

Selected chronic disease diagnoses in Amuru District for outpatients age 5+ Source: District HMIS data

2006/7 2007/8 2008/9 2009/10 2010/11
HT No Data* 186/576 149/296 113/501 87/471
DM No Data 9/10 57/85 28/53 31/69
Depression No Data 66/83 17/46 15/69 9/37
HIV No Data 434/737 304/429 545/924 431/780

Male/Female

*

Amuru District was not established until 2006 and lacked HMIS data for the first year.

In both district reports, hypertension and depression were at least twice as frequent for women, while diabetes was more common for men.

At the individual health facilities, patterns of diagnosis varied. Table 3 shows diagnoses for outpatients age 5 and above for one month.

Table 3.

Selected chronic disease diagnoses for outpatients age 5+ October 2011

Health unit HT DM Depression PTSD Total pts*
HC3 a 4 0 6 0 720
HC3 b 12 0 0 0 4079
HC3 c 9 0 2 4 1700
HC4 a 12 3 29 1 1461
HC4 b 1 3 0 0 2425
PNFP hosp 24 21 3 0 940
*

Total recorded outpatients age 5+ for October 2011

Hypertension was the most common of the four conditions, but still constituted under 1% of all out-patient diagnoses except at the private not-for-profit hospital where it comprised 2.5% of total OPD diagnoses for age 5+. Diabetes was not diagnosed at any HC3, and only rarely at the two HC4, while one HC4 had almost twice as many depression diagnoses as all the other facilities combined. PTSD was diagnosed only 5 times in all, with 4 of the cases identified at one HC3.

Diagnostic instruments

All facilities visited had blood pressure (BP) meters, but there were differences in how regularly they were available in OPD and how systematically BP was measured. In-charges emphasized that mothers enrolling for antenatal clinic (ANC) should have their BP checked at the first visit. One HC3 had only one BP meter, provided to the ANC by Northern Uganda Malaria, AIDS and Tuberculosis Program in connection with the prevention of mother to child transmission activities. This machine usually stayed in OPD and was borrowed by ANC when needed. Another HC4 had two BP meters that were kept by clinical officers. When they were not on duty, no BP meter was available. Health workers stated that they only checked outpatients with signs and symptoms suggestive of hypertension such as severe headache, palpitation, and burning sensations in the lower limbs. Several thought that BP should be measured for more patients, but that took extra time, and the BP machine was not always present in OPD. When the meters broke down, it was difficult to get them repaired since the donor program supporting equipment maintenance had ended. All facilities visited had broken BP machines in their stores.

For diagnosing diabetes a glucometer is preferred to urine analysis. Typically the glucometer strips, which are expensive, run out, and it is difficult to keep a supply of strips for the particular model of glucometer one has. National Medical Stores had not been supplying glucometers or strips. The only facility with a fairly regular supply of strips was the PNFP hospital, which ordered them from Joint Medical Stores, but even the hospital ran short of strips occasionally and had to rely on urinalysis. At the time of our inventory in January 2012, only one other unit, a HC4, had both a glucometer and strips (though the strips were about to expire). At four units staff said they did urinalysis in the lab in the absence of supplies for blood tests.

Depression and PTSD can be diagnosed using standard questionnaires such as the Harvard Trauma Questionnaire, as is done at the donor-funded Alderman Clinic, located at the Mental Health Unit of Gulu Regional Referral Hospital. However, none of the six facilities used such a standardized tool for making mental health diagnoses. They all had copies of the Uganda Standard Treatment Guidelines, which has a section on depression (but none on PTSD), although it was not used for diagnostic purposes. Instead, they relied on taking clinical histories and making presumptive diagnoses. Staff reported that diagnoses of depression and PTSD were usually made when patients came for treatment of somatic complaints. Patients did not report to health units with primary symptoms of dysphoria or flashbacks to traumatic events.

Medicines

Table 4 shows the drugs in stock at each unit for the four conditions. Depression and PTSD are treated with the same medications, Amitriptyline and Imipramine, so they are amalgamated in the table.

Table 4.

Medications in stock for selected chronic conditions January 2012

HC3a Propranolol none Amitriptyline
Imipramine
HC3b Propranolol Glibenclamide* none
HC3c Propranolol none none
HC4a Nifedipine
Propranolol
Atenolol
Furosemide
Methyldopa
none Amitriptyline
Imipramine
HC4b Propranolol
Atenolol
Hydralazine
Digoxin
Captopril
Methyldopa
Bendroflumethiazide
Glibenclamide Amitriptyline
PNFP
hosp**
Nifedipine
Propranolol
Furosemide
Captopril
Methyldopa
Metformin
Glibenclamide
Insulin Isophane
Insulin Soluble
Insulin Mixtard
Amitriptyline
Imipramine
*

intended for use at HC4 or hospital level, but given to the HC3 by the health sub/district because it was underused and about to expire,

**

The PNFP hospital obtained its supplies from Joint Medical Stores.

The one medicine available at all facilities visited was propranolol for hypertension. Otherwise there was wide variation in medicines for hypertension. Amitriptyline was the second most common drug, found at four of the six facilities. Three of the six units had no oral medicine or insulin for diabetes, and two had no medicine for depression and PTSD (although amitriptyline is supplied in the kits for HC3s).

Interviews with staff revealed problems with drug stockouts and irregular supplies. The PNFP hospital had the widest range of antidiabetic drugs, but reported frequent stockouts of metformin and insulin mixtard. It sometimes ran out of amitriptyline. HC3b and HC3c, which reported that amitriptyline was out of stock, referred patients to buy it from drug shops. Fluoxetin, a selective serotonin reuptake inhibitor drug recommended for treatment of PTSD, was not supplied by NMS. Despite these problems of stockouts, some drugs were underused and expired. The district health officer for Amuru stated that there was an unused surplus of antihypertensives and amitriptyline in 2011 that had to be destroyed. One HC3 was given a supply of glibenclamide by the health sub/district because a nearby HC4 had a surplus that was about to expire.

Reviews of the patient registers and interviews with health workers revealed that amitriptyline was also used for frequent or severe headache and as a general painkiller. The in-charge of HC3c (where the drug was out of stock) explained: ‘The pattern has changed in the last three years. Now we give it for constant headache and other somatic complaints. We ask, “Does the illness interfere with your sleep, do you have bad dreams?” If they say yes, we may give amitriptyline.’ Others explained that headache may come from anxiety or depression, and therefore they treated it with amitriptyline.

According to health workers, many patients sought treatment for hypertension only intermittently. The Acting in-charge of HC3b said that they gave anti-hypertensive medicines for two weeks, but patients usually did not come back for monitoring and refills at the end of the period.

Medicines for all of these conditions were found at private drug shops and clinics although availability was highly uneven. Near the rural hospital, one drug shop carried anti-hypertensives (propranolol, nifidipine, frusemide) and two private clinics run by a clinical officer and an enrolled nurse respectively managed hypertension with BP machines and a range of medicines. One also treated diabetes and depression.

Near HC4a were drug shops of which some had BP machines and sold anti-hypertensives. Amitriptyline was found in some drug shops, but diabetes drugs were very rare except at pharmacies and clinics in Gulu town, where those visited stocked glibenclamide and metformin.

Specialized staff and clinics

Every facility had at least one staff member with formal training in psychiatry. At the HC3 level, there were psychiatric nurses, while the HC4 units also had psychiatric clinical officers. The PNFP hospital, however, had only one psychiatric nurse and no psychiatric clinical officer. Because of understaffing, the staff specialized in psychiatry takes on general duties. At HC4a, which receives outreach support for mental health from Alderman clinic, we found the outreach staff manning the OPD on one occasion.

Only the two HC4s had dedicated mental health clinic days. The great majority of patients came for treatment of epilepsy. While the one received extra support, the other did not. Interviews with patients showed that those registered at special clinics were given appointment days to come again.

Donor support and research

Support for the chronic conditions upon which we focused was minimal compared to that for HIV. (The Gulu HMIS report for 2010/11 lists 13 operating partners working in all sub-counties, of which 7 were involved in HIV.) Mental health, including depression and PTSD, attracted most donor attention. In a mapping exercise carried out in the first two months of 2012, we identified 25 NGOs and international organizations working in the Acholi region that dealt directly with mental trauma after the war. Some, such as VIVO, do not coordinate with the government health system and we found no evidence of their activities at the health facilities visited. Others such as Transcultural Psycho-Social Organization (TPO) and Alderman Mental Health Clinic have outreach programmes at selected government health centres (TPO reaches HC2 units). The Gulu Diabetes And Hypertension Association, an indigenous NGO, is making efforts to provide training of health workers and patient support, but there are very few resources targeted at cardiovascular conditions and diabetes.

Prevalence studies of PTSD and depression are currently being carried out in northern Uganda using standard questionnaires. Study participants diagnosed with PTSD during the screening are ideally referred to nearby HCs, although this practice was not (yet) evident in the patient registers. A research project at HC3c that was ongoing in January 2012 offered screening for hypertension and diabetes to OPD patients. Over 500 patients were checked in that month alone, and over 100 were referred for treatment. The researcher supplied nifedipine to the unit so that those with hypertension could be given a starting dose. Those diagnosed with diabetes were referred to Gulu Regional Referral Hospital.

Discussion

While there are no national prevalence figures for hypertension and diabetes, population-based surveys in several districts suggest that rates are considerably higher than their visibility in public health facilities. For hypertension, a study of people aged 20 and older in Rukungiri district in 2006 found a crude prevalence rate of 30.4%10 A survey in southwestern Uganda in 2009 found a prevalence of 22%. It showed that the vast majority (96% of men and 86% of women) was not aware of having hypertension. Of those who did know their diagnosis, only about half had controlled blood pressure, suggesting that they were not getting adequate care from health services.11 For diabetes, a survey in the same population found prevalences of probable diabetes and probable hyperglycaemia were 0.4% and 2.8%. Almost ¾ of those with probable diabetes were unaware that they had the condition.12

Prevalence rates for depression are also likely to be much higher than their representation among outpatients at public health facilities. A comparison of populations in two districts, Adjumani and Bugiri, using the Beck Depression Inventory, found that 17.4 % were probably clinically depressed. In Adjumani district of northern Uganda, which has suffered decades of armed conflict, the prevalence was 26.3%. Some of the highest rates of depression and PTSD in displaced populations anywhere were found among displaced people in Gulu and Amuru districts in 2006. Using the Hopkins Symptom Checklist-25 and the Harvard Trauma Questionnaire, 67% met symptom criteria for depression and 54% for PTSD.13 More recent data on these conditions, in particular as people have been returning to their homes, are still missing.

These population-based research results are in sharp contrast to one key finding of our study: the low visibility of these diagnoses in district HMIS data and in the patient registers at the facilities visited. The prevalence of hypertension at Gulu district OPDs was less than 1%, compared to rates of 22% and 30% in the general population elsewhere. The very high rates of depression and PTSD identified 5 years earlier in the districts we studied contrast with the rarity of these diagnoses in the patient registers we examined.

Why are these four conditions so little visible in the outpatient population? One reason could be that people do not recognize them as problems needing biomedical treatment. These diseases do not have conspicuous symptoms like fever or vomiting or herpes rash, which immediately signal sickness. Depression is a much ‘quieter’, less dramatic disease than psychosis or epilepsy, while PTSD has features that fit with local conceptions of spirit affliction. If people with these conditions are to become patients, they must be diagnosed and retained in long-term treatment. This requires equipment and guidelines for making a diagnosis and monitoring treatment, a reliable supply of medicines, health workers with training in chronic care, and procedures for encouraging the retention of chronic patients. A major finding of this study was that this combination of factors was not in place at the facilities visited with the possible exception of the PNFP hospital.

The Uganda National Treatment Guidelines align management of conditions to levels of care. HC4 and hospitals should be able to diagnose and treat all four of these chronic conditions, while the HC3 is not expected to manage diabetes. This should be reflected in availability of diagnostic equipment and medicines. Findings from this study show that while all units had functioning BP machines, they were not enough for the different services offered, nor were they regularly used. Glucometers and strips were found in the hospital and in one HC4, but that HC4 had no medicine for glucose control. One HC3 had glibenclamide for diabetes, but no glucometer. All units had staff trained to identify and treat mental health problems, but two were stocked out of amitriptyline, the principal medication used for depression and PTSD.

The pattern of diagnoses, both over the years in the district annual reports, and among the 6 health facilities, was uneven, with ‘clumping’ of diagnoses in certain years and at certain units. This unevenness might be due to several factors. Staff members working in OPD at a particular time may be more alert to particular symptoms and diagnostic categories, because of special training or recent workshops. Diagnostic equipment may be available at some times and not others. Externally funded projects, such as the outreach programmes for mental health at HC4a, may be active in given periods. Since such projects usually have a limited duration, their effects may appear to be intermittent. Research projects would also have the same effect in drawing attention to a disease for a short intensive interval.

Conclusion

Although international and national policy emphasizes the growing need for care of hypertension, diabetes, and depression, these conditions are not very visible within the public health services in northern Uganda. This is so despite research that suggests they are highly prevalent in the population. It is striking that PTSD, which has attracted the attention of researchers and NGOs as a consequence of the protracted conflict and encampment, is hardly visible as a diagnosis in the patient registers.

One of the lessons of the response to HIV was that dedicated clinic days for monitoring and medicine refills support adherence. HC4s and most hospitals have special clinics for mental health, which give patients appointments for follow-up. It would be possible to establish similar clinics for hypertension and diabetes at the same level of service. This would contribute to regularizing care and medication, and would make these two NCDs more visible to both health workers and patients Another lesson is the necessity of constantly available diagnostic instruments and awareness that screening must be a ticket to continuing treatment for those found to have the disease. Periodic screening drives for hypertension and diabetes, such as those organized for special events (e.g Diabetes Day), help to raise awareness and to identify people who had been unaware of their conditions. But screening alone is not enough; follow-up must be ensured in the form of available and accessible services provided by trained staff.

Acknowledgements

The study took place under a larger collaborative research training programme, ‘Changing Human Security: Recovery From Armed Conflict In Northern Uganda’ for which clearance was granted by UNCST. We gratefully acknowledge funding from Danida, and the guidance of Professor Emilio Ovuga and Dr. Thomas Oyok.

References

  • 1.Boutayeb A. The double burden of communicable and noncommunicable diseases in developing countries. Transactions of the Royal Society of Tropical Medicine and Hygiene. 2006;100:191–109. doi: 10.1016/j.trstmh.2005.07.021. [DOI] [PubMed] [Google Scholar]
  • 2.Alberti G. Noncommunicable diseases: tomorrow's pandemics. Bulletin of the World Health Organization. 2001;79(10):907. [PMC free article] [PubMed] [Google Scholar]
  • 3.WHO, author. “First NCDnet Global Forum”. 2010. http://www.who.int/nmh/newsletter_apr2010.pdf.
  • 4.MoH and Republic of Uganda, author. Health Sector Strategic Plan II: 2005/06—2009/2010. I. Kampala: Republic of Uganda; 2005. [Google Scholar]
  • 5.WHO, author. The global burden of disease: 2004 update. World Health Organization; 2008. pp. 50–51. [Google Scholar]
  • 6.WHO/MOH, author. 2006 WHO-AIMS report on the mental health system in Uganda. MoH Uganda: WHO; see also: Ssebunnya J, Kigozi F, Ndyanabangi S. Developing a national mental health policy: a case study from Uganda. PLoS Med 2012; 9(10):e1001319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Daar A S, et al. Grand Challenges in Chronic Non-Communicable Diseases: The Top 20 Policy and Research Priorities for Conditions Such as Diabetes, Stroke and Heart Disease. Nature. 2007;450:494–496. doi: 10.1038/450494a. [DOI] [PubMed] [Google Scholar]
  • 8.WHO, author. Cluster Strategy for Noncommunicable Diseases and Mental Health 2008–2013. Geneva: WHO; WHO/NMH/2009.2. [Google Scholar]
  • 9.Maher D, Sekajugo J, Harries AD, Grosskurth H. Research needs for an improved primary care response to chronic non-communicable diseases in Africa. Tropical Medicine & International Health. 2010;15(2):176–181. doi: 10.1111/j.1365-3156.2009.02438.x. [DOI] [PubMed] [Google Scholar]
  • 10.Wamala JF, Karyabakabo Z, Ndunguse D, Guwatudde D. Prevalence factors associated with hypertension in Rukungiri District, Uganda - a community-based study. African Health Sciences. 2009;9(3):153–160. [PMC free article] [PubMed] [Google Scholar]
  • 11.Maher D, Waswaa L, Baisley K, Karabarinde A, Unwin N. Epidemiology of hypertension in low-income countries: a cross-sectional population-based survey in rural Uganda. Journal of Hypertension. 2011;29:1061–1068. doi: 10.1097/HJH.0b013e3283466e90. [DOI] [PubMed] [Google Scholar]
  • 12.Maher D, Waswaa L, Baisley K, Karabarinde A, Unwin N, Grosskurth H. Distribution of hyperglycaemia and related cardiovascular disease risk factors in low-income countries: a cross-sectional population-based survey in rural Uganda. International Journal of Epidemiology. 2011;40:160–171. doi: 10.1093/ije/dyq156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Roberts B, Kaducu FO, Browne J, Oyok T, Sondorp E. Factors associated with post-traumatic stress disorder and depression amongst internally displaced persons in northern Uganda. BMC Psychiatry. 2008;8(38) doi: 10.1186/1471-244X-8-38. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from African Health Sciences are provided here courtesy of Makerere University Medical School

RESOURCES